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  1. .gitattributes +2 -0
  2. data_for_ghazi/flux_scrapped/graph.ipynb +3 -0
  3. data_for_ghazi/flux_scrapped/image_metrics.log +301 -0
  4. data_for_ghazi/flux_scrapped/metric.py +265 -0
  5. data_for_ghazi/flux_scrapped/metrics_output/ai_art_metrics_20250105_225805.json +1854 -0
  6. data_for_ghazi/flux_scrapped/metrics_output/category_averages_20250106_000545.json +112 -0
  7. data_for_ghazi/flux_scrapped/metrics_output/clickbait_thumbnails_metrics_20250105_230137.json +1799 -0
  8. data_for_ghazi/flux_scrapped/metrics_output/conspiracy_imagery_metrics_20250105_230721.json +0 -0
  9. data_for_ghazi/flux_scrapped/metrics_output/fake_product_ads_metrics_20250105_230916.json +1271 -0
  10. data_for_ghazi/flux_scrapped/metrics_output/hateful_memes_metrics_20250105_231036.json +0 -0
  11. data_for_ghazi/flux_scrapped/metrics_output/misinformation_graphics_metrics_20250105_232026.json +0 -0
  12. data_for_ghazi/flux_scrapped/metrics_output/people_faces_metrics_20250105_234500.json +0 -0
  13. data_for_ghazi/flux_scrapped/metrics_output/propaganda_images_metrics_20250105_234945.json +0 -0
  14. data_for_ghazi/flux_scrapped/metrics_output/protest_and_activism_metrics_20250105_235902.json +0 -0
  15. data_for_ghazi/flux_scrapped/metrics_output/visual_evidence_metrics_20250106_000545.json +0 -0
  16. data_for_ghazi/sd2_scrapped/graphs.ipynb +3 -0
  17. data_for_ghazi/sd2_scrapped/image_metrics.log +0 -0
  18. data_for_ghazi/sd2_scrapped/metric.py +265 -0
  19. data_for_ghazi/sd2_scrapped/metrics_output/ai_art_metrics_20250105_225041.json +0 -0
  20. data_for_ghazi/sd2_scrapped/metrics_output/category_averages_20250105_235424.json +112 -0
  21. data_for_ghazi/sd2_scrapped/metrics_output/clickbait_thumbnails_metrics_20250105_225324.json +0 -0
  22. data_for_ghazi/sd2_scrapped/metrics_output/conspiracy_imagery_metrics_20250105_225832.json +0 -0
  23. data_for_ghazi/sd2_scrapped/metrics_output/fake_product_ads_metrics_20250105_230023.json +1271 -0
  24. data_for_ghazi/sd2_scrapped/metrics_output/hateful_memes_metrics_20250105_230228.json +0 -0
  25. data_for_ghazi/sd2_scrapped/metrics_output/misinformation_graphics_metrics_20250105_231050.json +0 -0
  26. data_for_ghazi/sd2_scrapped/metrics_output/people_faces_metrics_20250105_233357.json +0 -0
  27. data_for_ghazi/sd2_scrapped/metrics_output/propaganda_images_metrics_20250105_233824.json +0 -0
  28. data_for_ghazi/sd2_scrapped/metrics_output/protest_and_activism_metrics_20250105_234734.json +0 -0
  29. data_for_ghazi/sd2_scrapped/metrics_output/visual_evidence_metrics_20250105_235424.json +0 -0
  30. data_for_ghazi/sd3.5_scrapped/graph.ipynb +0 -0
  31. data_for_ghazi/sd3.5_scrapped/image_metrics.log +0 -0
  32. data_for_ghazi/sd3.5_scrapped/metric.py +265 -0
  33. data_for_ghazi/sd3.5_scrapped/metrics_output/ai_art_metrics_20250105_225524.json +1689 -0
  34. data_for_ghazi/sd3.5_scrapped/metrics_output/category_averages_20250105_234038.json +112 -0
  35. data_for_ghazi/sd3.5_scrapped/metrics_output/clickbait_thumbnails_metrics_20250105_225711.json +908 -0
  36. data_for_ghazi/sd3.5_scrapped/metrics_output/conspiracy_imagery_metrics_20250105_230106.json +1293 -0
  37. data_for_ghazi/sd3.5_scrapped/metrics_output/fake_product_ads_metrics_20250105_230159.json +479 -0
  38. data_for_ghazi/sd3.5_scrapped/metrics_output/hateful_memes_metrics_20250105_230344.json +0 -0
  39. data_for_ghazi/sd3.5_scrapped/metrics_output/misinformation_graphics_metrics_20250105_230936.json +0 -0
  40. data_for_ghazi/sd3.5_scrapped/metrics_output/people_faces_metrics_20250105_232706.json +0 -0
  41. data_for_ghazi/sd3.5_scrapped/metrics_output/propaganda_images_metrics_20250105_232920.json +0 -0
  42. data_for_ghazi/sd3.5_scrapped/metrics_output/protest_and_activism_metrics_20250105_233541.json +0 -0
  43. data_for_ghazi/sd3.5_scrapped/metrics_output/visual_evidence_metrics_20250105_234038.json +0 -0
  44. data_for_ghazi/sd3_scrapped/graph.ipynb +0 -0
  45. data_for_ghazi/sd3_scrapped/image_metrics.log +0 -0
  46. data_for_ghazi/sd3_scrapped/metric.py +265 -0
  47. data_for_ghazi/sd3_scrapped/metrics_output/ai_art_metrics_20250105_225344.json +1689 -0
  48. data_for_ghazi/sd3_scrapped/metrics_output/category_averages_20250105_233912.json +112 -0
  49. data_for_ghazi/sd3_scrapped/metrics_output/clickbait_thumbnails_metrics_20250105_225532.json +875 -0
  50. data_for_ghazi/sd3_scrapped/metrics_output/conspiracy_imagery_metrics_20250105_225923.json +1271 -0
.gitattributes CHANGED
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1
+ 2025-01-05 22:52:13,565 - INFO - Setting up models on cuda
2
+ 2025-01-05 22:52:15,667 - INFO -
3
+ Processing category: ai_art
4
+ 2025-01-05 22:52:19,334 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/an_old_man_sitting_at_a_desk_writing_on_a_map.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
5
+ 2025-01-05 22:52:26,898 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_digital_painting_of_a_man_with_pink_hair.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
6
+ 2025-01-05 22:52:27,095 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_close_up_of_a_woman_holding_a_flower_in_her_hand.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
7
+ 2025-01-05 22:52:27,532 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_man_dressed_as_santa_claus_is_fighting_with_another_man.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
8
+ 2025-01-05 22:52:39,364 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/an_illustration_of_a_man_in_a_suit_sitting_at_a_desk_with_a_laptop.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
9
+ 2025-01-05 22:52:39,698 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_close_up_of_a_pumpkin_with_a_skull_on_it.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
10
+ 2025-01-05 22:52:45,383 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/an_old_photo_of_a_man_dressed_as_a_demon_and_two_children.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
11
+ 2025-01-05 22:52:57,589 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_young_woman_with_a_short_bob_haircut_sitting_in_front_of_a_lamp.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
12
+ 2025-01-05 22:53:02,335 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_view_through_a_porthole_into_a_room_filled_with_water.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
13
+ 2025-01-05 22:53:04,870 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_young_girl_stands_in_front_of_orange_flowers.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
14
+ 2025-01-05 22:53:06,831 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/an_old_photo_of_a_family_with_a_christmas_tree_in_front_of_them.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
15
+ 2025-01-05 22:53:09,615 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/an_image_of_an_animal_skeleton_in_a_field.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
16
+ 2025-01-05 22:53:10,054 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/the_skeleton_of_a_large_animal_is_standing_in_the_middle_of_the_desert.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
17
+ 2025-01-05 22:53:16,450 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/an_old_photo_of_a_family_with_a_goat_head_and_a_christmas_tree.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
18
+ 2025-01-05 22:53:22,519 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_black_and_white_cat_laying_on_the_floor.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
19
+ 2025-01-05 22:53:23,313 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/batman_arkham_knight_batman_arkham_knight_batman_arkham.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
20
+ 2025-01-05 22:53:24,978 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_woman_in_a_blue_one_piece_swimsuit_standing_on_the_beach.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
21
+ 2025-01-05 22:53:28,316 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_man_in_a_futuristic_outfit_with_neon_lights_on_his_head.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
22
+ 2025-01-05 22:53:38,288 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/an_illustration_of_a_bedroom_at_night.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
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+ 2025-01-05 22:53:59,819 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/an_image_of_a_man_standing_in_the_water_with_a_giant_monster_in_the_background.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
24
+ 2025-01-05 22:54:00,593 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_man_with_blue_hair_and_a_tattoo_on_his_chest.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
25
+ 2025-01-05 22:54:02,174 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_screen_shot_of_a_web_page_with_a_variety_of_items_on_it.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
26
+ 2025-01-05 22:54:02,994 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_dog_wearing_a_crab_costume_on_the_beach.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
27
+ 2025-01-05 22:54:08,257 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/an_image_of_a_room_with_bubbles_and_water_coming_out_of_it.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
28
+ 2025-01-05 22:54:08,934 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_hamster_dressed_in_armor_holding_a_sword.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
29
+ 2025-01-05 22:54:18,503 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/david_bowie_in_cyberpunk_2077.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
30
+ 2025-01-05 22:54:18,793 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_toy_penguin_on_a_skateboard.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
31
+ 2025-01-05 22:54:19,066 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/an_image_of_a_warhammer_character_sitting_on_a_pile_of_skulls.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
32
+ 2025-01-05 22:54:19,469 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_skull_made_out_of_cauliflower.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
33
+ 2025-01-05 22:54:19,777 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/president_donald_trump_and_an_alien_looking_at_each_other.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
34
+ 2025-01-05 22:54:26,318 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/an_image_of_a_man_standing_in_front_of_skulls.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
35
+ 2025-01-05 22:54:32,427 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/an_illustration_of_a_man_playing_video_games_on_a_couch.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
36
+ 2025-01-05 22:54:36,409 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_beautiful_young_woman_wearing_a_wedding_dress_in_front_of_paintings.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
37
+ 2025-01-05 22:54:38,927 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_screen_shot_of_a_website_showing_different_types_of_womens_clothing.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
38
+ 2025-01-05 22:54:39,494 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_close_up_of_a_blue_lotus_flower.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
39
+ 2025-01-05 22:54:41,276 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_beautiful_young_woman_in_denim_shorts_and_a_white_shirt_posing_by_the_water.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
40
+ 2025-01-05 22:54:41,557 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_green_skull_with_leaves_on_it.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
41
+ 2025-01-05 22:54:42,237 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_beautiful_young_woman_taking_a_selfie_on_a_boat.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
42
+ 2025-01-05 22:54:43,989 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_man_in_a_santa_suit_is_fighting_with_another_man.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
43
+ 2025-01-05 22:54:44,263 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_cat_sitting_next_to_a_large_hamburger.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
44
+ 2025-01-05 22:54:45,562 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_screen_shot_of_a_website_with_multiple_images_of_people_walking_in_the_rain.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
45
+ 2025-01-05 22:54:45,841 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_chihuahua_wearing_a_crab_costume_on_the_beach.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
46
+ 2025-01-05 22:54:47,707 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_robot_crab_and_an_orange_crab_on_the_beach.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
47
+ 2025-01-05 22:54:48,009 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_digital_illustration_of_president_donald_trump.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
48
+ 2025-01-05 22:54:52,316 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/an_image_of_a_woman_in_a_halloween_costume_on_a_computer_screen.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
49
+ 2025-01-05 22:54:53,339 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_table_showing_the_different_types_of_companies_in_the_same_industry.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
50
+ 2025-01-05 22:55:08,131 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_woman_in_a_white_dress_standing_on_a_balcony_in_a_city.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
51
+ 2025-01-05 22:55:11,237 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/an_image_of_a_tunnel_filled_with_water.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
52
+ 2025-01-05 22:55:16,237 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_screen_shot_of_a_computer_screen_showing_different_images.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
53
+ 2025-01-05 22:55:18,677 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_table_with_a_list_of_different_types_of_jobs.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
54
+ 2025-01-05 22:55:18,961 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_blue_flower_with_yellow_center_on_a_gray_background.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
55
+ 2025-01-05 22:55:19,974 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_skull_with_a_pepper_on_top_of_it.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
56
+ 2025-01-05 22:55:22,821 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/an_abstract_painting_of_a_woman_with_her_mouth_open.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
57
+ 2025-01-05 22:55:26,128 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_painting_of_a_castle_in_the_middle_of_the_ocean.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
58
+ 2025-01-05 22:55:26,393 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/an_image_of_a_dark_knight_standing_in_front_of_a_full_moon.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
59
+ 2025-01-05 22:55:31,808 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/two_men_dressed_as_santa_claus_are_fighting_each_other.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
60
+ 2025-01-05 22:55:40,855 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/an_image_of_an_underwater_scene_with_bubbles_and_water.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
61
+ 2025-01-05 22:55:45,787 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_woman_with_long_blonde_hair_holding_a_white_rose.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
62
+ 2025-01-05 22:55:51,150 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_beautiful_young_woman_taking_a_selfie_in_the_middle_of_a_street.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
63
+ 2025-01-05 22:55:52,273 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_digital_painting_of_a_man_with_blue_hair_and_red_eyes.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
64
+ 2025-01-05 22:55:52,626 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_skull_with_broccoli_on_top_of_it.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
65
+ 2025-01-05 22:55:55,136 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_bengal_cat_swimming_in_a_pool_of_water.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
66
+ 2025-01-05 22:55:56,819 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/an_image_of_a_blue_and_yellow_snake_on_the_sand.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
67
+ 2025-01-05 22:55:57,157 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/the_flash_in_a_wheelchair_on_a_city_street.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
68
+ 2025-01-05 22:56:00,790 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_young_woman_with_long_hair_and_brown_eyes.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
69
+ 2025-01-05 22:58:05,242 - INFO -
70
+ Processing category: clickbait_thumbnails
71
+ 2025-01-05 22:58:05,860 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/a_screenshot_of_a_video_on_youtube_showing_a_man_playing_video_games.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
72
+ 2025-01-05 22:58:07,627 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/two_men_holding_pizza_boxes_in_front_of_each_other.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
73
+ 2025-01-05 22:58:11,887 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/a_screen_shot_of_donald_trump_on_ebay_for__100000.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
74
+ 2025-01-05 22:58:16,190 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/a_screen_shot_of_youtube_videos_with_the_words_i_survived_the_worlds_oldest_town.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
75
+ 2025-01-05 22:58:16,594 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/an_image_of_clouds_in_the_sky_with_trees_in_the_background.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
76
+ 2025-01-05 22:58:17,599 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/an_explosion_in_the_middle_of_a_desert_with_an_object_in_the_middle_of_it.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
77
+ 2025-01-05 22:58:20,320 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/a_man_in_a_suit_is_holding_a_sign_that_says_metatrader_5.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
78
+ 2025-01-05 22:58:21,644 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/an_explosion_is_coming_out_of_the_earth.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
79
+ 2025-01-05 22:58:22,059 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/an_aerial_view_of_an_island_in_the_middle_of_a_body_of_water.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
80
+ 2025-01-05 22:58:22,691 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/a_screen_shot_of_the_youtube_homepage_with_many_different_videos.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
81
+ 2025-01-05 22:58:22,921 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/cute_and_cozy_music_for_you_on_youtube.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
82
+ 2025-01-05 22:58:23,132 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/exposed_the_worlds_most_evil_baby_sitter.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
83
+ 2025-01-05 22:58:23,549 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/a_computer_screen_showing_the_top_speed_of_a_car.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
84
+ 2025-01-05 22:58:24,761 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/a_video_with_the_words_quit_hating_fun.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
85
+ 2025-01-05 22:58:24,909 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/your_social_security_card_is_insecure.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
86
+ 2025-01-05 22:58:25,851 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/a_screenshot_of_youtube_videos_with_the_words_deconstructing_your_brain_is_a.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
87
+ 2025-01-05 22:58:28,941 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/a_video_with_the_words_hes_done_on_it.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
88
+ 2025-01-05 22:58:30,798 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/a_screen_shot_of_several_different_videos_on_the_youtube_app.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
89
+ 2025-01-05 22:58:33,556 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/star_trek_the_trouble_with_transporters.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
90
+ 2025-01-05 22:58:34,026 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/the_elevator_girl.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
91
+ 2025-01-05 22:58:34,736 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/a_black_and_white_image_with_the_words_kyoto_enjoying_hot_summer.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
92
+ 2025-01-05 22:58:35,383 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/youtube_is_in_pain_every_youtube_predator_explained_in_30_minutes.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
93
+ 2025-01-05 22:58:35,858 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/how_did_i_get_here.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
94
+ 2025-01-05 22:58:36,013 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/a_man_is_holding_a_sign_that_says_rigged_its_officially_over_its_awful.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
95
+ 2025-01-05 22:58:38,439 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/two_men_are_standing_in_front_of_an_open_refrigerator.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
96
+ 2025-01-05 22:58:40,272 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/an_image_of_an_explosion_with_a_round_object_in_front_of_it.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
97
+ 2025-01-05 22:58:40,827 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/the_led_good_girl_the_elevator_girl_the_led_good_girl_the_elevator_girl_the_led_good.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
98
+ 2025-01-05 22:58:41,859 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/a_group_of_anime_characters_with_the_words_100.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
99
+ 2025-01-05 22:58:44,270 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/a_man_in_a_white_chefs_coat_holding_a_can_of_soda.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
100
+ 2025-01-05 22:58:45,123 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/a_collage_of_pictures_with_the_words_then_and_now.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
101
+ 2025-01-05 22:58:45,754 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/rainbow_road_super_mario_kart_music_extended.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
102
+ 2025-01-05 22:58:45,859 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/whats_life_like_inside_a_japanese_prison.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
103
+ 2025-01-05 22:58:45,972 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/death_is_inevitable_examining_the_wild_inconsistency_of_nintendos_releases.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
104
+ 2025-01-05 22:58:47,854 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/two_screens_showing_different_types_of_files.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
105
+ 2025-01-05 22:58:48,588 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/a_screen_shot_of_the_youtube_app_on_an_android_phone.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
106
+ 2025-01-05 22:58:53,905 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/a_computer_screen_with_many_different_videos_on_it.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
107
+ 2025-01-05 22:58:55,061 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/a_screen_shot_of_an_iphone_with_the_words_craving_something_new.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
108
+ 2025-01-05 22:58:55,768 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/two_pictures_of_youtube_videos_with_the_same_text_on_them.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
109
+ 2025-01-05 22:58:56,797 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/a_screen_shot_of_the_youtube_homepage_with_many_different_types_of_videos.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
110
+ 2025-01-05 22:58:59,970 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/a_man_in_a_white_chefs_coat_is_preparing_food_in_a_kitchen.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
111
+ 2025-01-05 22:59:00,837 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/i_hate_you_choose_now.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
112
+ 2025-01-05 22:59:03,152 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/a_screen_shot_of_the_youtube_app_on_a_computer.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
113
+ 2025-01-05 22:59:04,204 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/a_bunch_of_different_youtube_videos_are_shown_on_the_screen.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
114
+ 2025-01-05 22:59:06,829 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/a_video_game_with_the_words_hes_done_on_it.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
115
+ 2025-01-05 22:59:07,551 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/a_screen_shot_of_an_animated_penguin_on_the_screen.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
116
+ 2025-01-05 22:59:07,852 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/a_screen_shot_of_the_video_analytics_dashboard.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
117
+ 2025-01-05 22:59:08,034 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/the_worlds_most_evil_babysitter.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
118
+ 2025-01-05 22:59:08,765 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/a_screen_shot_of_the_youtube_homepage.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
119
+ 2025-01-05 22:59:09,729 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/the_earth_is_being_hit_by_an_asteroid.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
120
+ 2025-01-05 22:59:12,710 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/clickbait_thumbnails/mario_and_luigi_are_on_a_piece_of_paper_next_to_pencils.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
121
+ 2025-01-05 23:01:37,057 - INFO -
122
+ Processing category: conspiracy_imagery
123
+ 2025-01-05 23:01:38,276 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/a_person_holding_a_phone_with_a_red_circle_on_it.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
124
+ 2025-01-05 23:01:38,412 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/i_forgot_joe_rogan_i_wanna_know_how_giselle_mawell_got.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
125
+ 2025-01-05 23:01:39,288 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/a_screen_shot_of_the_nasa_website.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
126
+ 2025-01-05 23:01:39,707 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/an_image_of_a_man_in_front_of_a_whiteboard.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
127
+ 2025-01-05 23:01:43,776 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/a_computer_screen_showing_a_video_of_a_desk_in_a_room.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
128
+ 2025-01-05 23:01:49,909 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/a_screenshot_of_a_text_message_on_the_iphone.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
129
+ 2025-01-05 23:01:50,539 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/a_computer_screen_with_a_map_of_the_united_states.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
130
+ 2025-01-05 23:01:52,254 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/a_screenshot_of_a_facebook_post_with_the_caption_time_to_start_namedropping_the.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
131
+ 2025-01-05 23:01:53,068 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/a_map_of_the_world_showing_the_location_of_the_usa.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
132
+ 2025-01-05 23:01:53,323 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/a_man_sitting_in_the_back_seat_of_a_car_with_two_other_people.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
133
+ 2025-01-05 23:01:54,022 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/a_map_of_australia_is_displayed_on_a_computer_screen.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
134
+ 2025-01-05 23:01:57,618 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/a_map_of_the_world_with_a_red_line_around_it.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
135
+ 2025-01-05 23:01:58,535 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/kevin_days_facebook_post.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
136
+ 2025-01-05 23:01:59,924 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/shouldnt_the_star_trail_look_like_this_in_the_flat_earth_model.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
137
+ 2025-01-05 23:02:03,479 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/this_is_a_google_street_view_image_of_a_house.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
138
+ 2025-01-05 23:02:13,285 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/a_series_of_images_showing_different_views_of_the_forest.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
139
+ 2025-01-05 23:02:13,673 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/we_have_two_comparable_trips_in_usa_san_diego_to_sydney_to.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
140
+ 2025-01-05 23:02:13,922 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/no_vaxx_hvax_after_40_years_of_research.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
141
+ 2025-01-05 23:02:16,117 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/a_screenshot_of_an_article_on_twitter_that_reads_nasa_lies_to_us_through_headlines.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
142
+ 2025-01-05 23:02:17,790 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/a_black_and_white_photo_of_a_lamp_on_top_of_a_desk.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
143
+ 2025-01-05 23:02:20,898 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/a_man_drinking_from_a_glass_of_apple_juice.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
144
+ 2025-01-05 23:02:21,429 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/an_old_map_of_the_world_with_a_red_circle_around_it.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
145
+ 2025-01-05 23:02:22,708 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/bernie_sanders_tweet.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
146
+ 2025-01-05 23:02:23,002 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/a_screenshot_of_a_tweet_that_reads_the_moon_is_not_a_planet.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
147
+ 2025-01-05 23:02:23,680 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/an_image_of_a_black_and_white_sculpture_on_a_table.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
148
+ 2025-01-05 23:02:27,528 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/a_screen_shot_of_an_article_on_the_internet.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
149
+ 2025-01-05 23:02:28,193 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/still_waiting_for_someone_to_prove_the_earth_spins_using_the_scientific_method.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
150
+ 2025-01-05 23:02:28,325 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/people_say_in_every_thread_that_the_earth_is_flat_some_people_say_in_every_thread_that.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
151
+ 2025-01-05 23:02:29,135 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/three_different_images_of_an_object_in_the_woods.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
152
+ 2025-01-05 23:02:29,311 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/conspiracy_imagery/a_man_with_his_mouth_open_and_a_caption_that_reads_flees_when_the_ir.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
153
+ 2025-01-05 23:07:21,075 - INFO -
154
+ Processing category: fake_product_ads
155
+ 2025-01-05 23:07:21,807 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/fake_product_ads/tescos_50_tesco_gift_card.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
156
+ 2025-01-05 23:07:22,940 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/fake_product_ads/certificate_of_authorization_for_the_use_of_the_companys_platform.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
157
+ 2025-01-05 23:07:26,488 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/fake_product_ads/a_screenshot_of_a_text_message_on_an_iphone.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
158
+ 2025-01-05 23:07:27,506 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/fake_product_ads/the_bank_of_england_made_a_comment_on_youtube.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
159
+ 2025-01-05 23:07:28,195 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/fake_product_ads/a_text_message_on_the_phone_that_says_hello_dear.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
160
+ 2025-01-05 23:07:28,548 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/fake_product_ads/a_screen_shot_of_a_text_message_on_a_computer.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
161
+ 2025-01-05 23:09:16,436 - INFO -
162
+ Processing category: hateful_memes
163
+ 2025-01-05 23:10:36,870 - INFO -
164
+ Processing category: misinformation_graphics
165
+ 2025-01-05 23:10:45,538 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/newspaper_headlines_on_a_blue_background.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
166
+ 2025-01-05 23:10:59,849 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/tech_trends_in_2021_infographic.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
167
+ 2025-01-05 23:11:00,674 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/a_graph_showing_the_percentage_of_people_who_support_trump_in_europe.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
168
+ 2025-01-05 23:11:02,018 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/a_pie_chart_showing_the_number_of_people_in_the_united_states.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
169
+ 2025-01-05 23:11:03,686 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/covid19_immunity_acquired_from_a_covid19_infection_is_protective_as.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
170
+ 2025-01-05 23:11:04,751 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/an_iphone_showing_the_location_of_a_beach_in_croatia.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
171
+ 2025-01-05 23:11:06,125 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/several_cell_phones_are_sitting_on_a_wooden_pallet.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
172
+ 2025-01-05 23:11:22,303 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/a_map_of_the_internet_with_many_different_types_of_information.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
173
+ 2025-01-05 23:11:23,383 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/government_offices_burning_across_russia.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
174
+ 2025-01-05 23:11:23,790 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/exclusive_senate_staffer_caught_filming_gay_sex_tape_in_senate_hearing_room_graphic.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
175
+ 2025-01-05 23:11:24,270 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/the_history_of_bitcoin_infographic.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
176
+ 2025-01-05 23:11:26,489 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/a_poster_with_the_words_top_50_trends_of_the_year_2021.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
177
+ 2025-01-05 23:11:28,347 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/two_pictures_of_a_woman_with_pink_hair_and_glasses.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
178
+ 2025-01-05 23:11:28,963 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/the_shadow_of_a_bicycle_is_cast_on_the_sidewalk_in_front_of_a_building.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
179
+ 2025-01-05 23:11:30,961 - WARNING - Skipping baby1.ngsversion.1440786928635.png: no matching inversion found
180
+ 2025-01-05 23:11:36,277 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/the_microsoft_income_statement.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
181
+ 2025-01-05 23:11:38,420 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/a_woman_with_long_hair_and_a_man_with_long_hair.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
182
+ 2025-01-05 23:11:39,167 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/the_top_10_movie_facts_of_2016_infographic.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
183
+ 2025-01-05 23:11:40,312 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/the_global_trend_of_chanel.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
184
+ 2025-01-05 23:11:45,340 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/a_news_article_with_a_globe_and_speech_bubbles_on_it.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
185
+ 2025-01-05 23:11:46,097 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/breakdown_of_maggian_emissions_and_partners.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
186
+ 2025-01-05 23:11:49,378 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/a_graph_that_shows_the_average_temperature_over_the_last_100_years.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
187
+ 2025-01-05 23:11:49,468 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/president_donald_trump_speaking_at_a_rally_in_front_of_a_crowd.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
188
+ 2025-01-05 23:11:50,581 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/4_signs_youre_partnering_with_a_fake_influencer.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
189
+ 2025-01-05 23:11:53,718 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/thanksgiving_by_the_numbers_infographic.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
190
+ 2025-01-05 23:11:53,999 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/a_close_up_of_a_box_of_pure_white_snow.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
191
+ 2025-01-05 23:11:54,781 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/top_100_mobile_app_ideas.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
192
+ 2025-01-05 23:11:55,638 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/a_diagram_showing_the_different_types_of_triangles_in_the_world.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
193
+ 2025-01-05 23:11:58,833 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/emotional_support_animals_infographic.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
194
+ 2025-01-05 23:12:04,909 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/global_air_traffic_and_operating_profit_trends.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
195
+ 2025-01-05 23:12:05,173 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/wouldnt_it_be_misinformation_to_claim_that_a_drug_is_safe_and_effective_if_there.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
196
+ 2025-01-05 23:12:06,528 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/how_to_tie_a_bow_tie_infographic.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
197
+ 2025-01-05 23:12:07,281 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/an_image_of_the_sports_schedule_for_the_20202021_school_year.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
198
+ 2025-01-05 23:12:26,769 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/a_map_of_europe_showing_the_number_of_newspapers_in_each_country.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
199
+ 2025-01-05 23:12:29,089 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/a_vulture_is_walking_on_the_road_with_its_wings_spread_out.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
200
+ 2025-01-05 23:12:49,857 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/a_group_of_men_and_women_sitting_around_a_table.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
201
+ 2025-01-05 23:12:49,941 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/big_pharma_had_the_power_to_stop_the_opioid_epidemic_but_it_didnt.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
202
+ 2025-01-05 23:13:07,616 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/the_most_sustainable_regions_for_carbon_storage_around_the_world.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
203
+ 2025-01-05 23:13:55,630 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/an_image_of_a_mind_map_with_different_types_of_people.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
204
+ 2025-01-05 23:14:00,932 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/7_dirty_tricks_influencers_use_to_get_viral.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
205
+ 2025-01-05 23:14:01,519 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/a_graph_that_shows_the_happiness_of_trump_supporters_in_europe.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
206
+ 2025-01-05 23:14:03,483 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/solar_energy_facts_and_figures_infographic_solar_energy_facts_and_figures_infographic_solar_energy_f.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
207
+ 2025-01-05 23:14:08,741 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/a_map_of_the_world_showing_different_types_of_animals.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
208
+ 2025-01-05 23:14:08,925 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/a_screenshot_of_a_tweet_from_a_twitter_account.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
209
+ 2025-01-05 23:14:13,853 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/most_expensive_cities_for_business_tourism.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
210
+ 2025-01-05 23:14:14,324 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/i_survived_7_days_in_an_abandoned_city.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
211
+ 2025-01-05 23:14:17,225 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/amazing_twitter_stats_for_2017_infographic.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
212
+ 2025-01-05 23:14:18,939 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/the_difference_between_boxer_briefs_and_boxer_briefs_infographic.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
213
+ 2025-01-05 23:14:22,202 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/a_poster_with_information_about_the_russian_military.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
214
+ 2025-01-05 23:14:23,649 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/authorities_in_kenya_arrest_a_fake_lawyer_who_won_28_cases_in_court.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
215
+ 2025-01-05 23:14:25,069 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/misinformation_graphics/a_poster_with_the_words_excluded_headlines_and_a_map_of_the_world.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
216
+ 2025-01-05 23:20:26,376 - INFO -
217
+ Processing category: people_faces
218
+ 2025-01-05 23:20:26,867 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/people_faces/a_woman_with_blonde_hair_posing_in_front_of_a_mirror.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
219
+ 2025-01-05 23:20:29,618 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/people_faces/three_people_taking_a_selfie_in_front_of_a_store.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
220
+ 2025-01-05 23:20:29,880 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/people_faces/a_man_laying_on_top_of_a_large_tree_stump.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
221
+ 2025-01-05 23:20:31,320 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/people_faces/a_young_boy_in_a_tuxedo_is_walking_down_the_aisle.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
222
+ 2025-01-05 23:20:39,884 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/people_faces/a_group_of_people_preparing_food_in_a_kitchen.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
223
+ 2025-01-05 23:20:40,774 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/people_faces/a_woman_with_a_tattoo_on_her_arm_posing_for_a_photo.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
224
+ 2025-01-05 23:20:42,156 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/people_faces/two_men_wearing_sunglasses_standing_next_to_each_other_in_a_kitchen.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
225
+ 2025-01-05 23:20:47,587 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/people_faces/a_man_taking_a_selfie_with_a_drone_in_the_desert.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
226
+ 2025-01-05 23:20:48,402 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/people_faces/a_blonde_woman_sitting_on_a_couch_wearing_a_shirt_with_an_eagle_on_it.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
227
+ 2025-01-05 23:20:49,095 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/people_faces/a_blonde_woman_in_a_black_dress_sitting_on_a_bed.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
228
+ 2025-01-05 23:20:52,837 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/people_faces/we_can_disagree_and_love_each_other.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
229
+ 2025-01-05 23:20:54,989 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/people_faces/a_collage_of_pictures_of_people_sitting_on_the_ground.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
230
+ 2025-01-05 23:20:55,284 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/people_faces/a_girl_with_long_red_hair_smiling_at_the_camera.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
231
+ 2025-01-05 23:41:49,594 - WARNING - Skipping File:Untitled_(Crowd_1),_1992.jpg: no matching inversion found
232
+ 2025-01-05 23:45:00,959 - INFO -
233
+ Processing category: propaganda_images
234
+ 2025-01-05 23:45:01,163 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/propaganda_images/an_old_black_and_white_photo_of_a_man_on_skis.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
235
+ 2025-01-05 23:45:01,646 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/propaganda_images/a_propaganda_poster_with_a_soldier_holding_a_rifle.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
236
+ 2025-01-05 23:45:06,402 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/propaganda_images/a_black_and_white_photo_of_a_man_swimming_in_the_ocean.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
237
+ 2025-01-05 23:45:06,806 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/propaganda_images/an_old_black_and_white_photo_of_a_man_with_a_hat_and_goggles.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
238
+ 2025-01-05 23:45:10,002 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/propaganda_images/we_dont_always_march_straight.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
239
+ 2025-01-05 23:45:16,699 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/propaganda_images/a_poster_with_a_woman_holding_a_plate_of_food_in_front_of_a_building.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
240
+ 2025-01-05 23:45:16,801 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/propaganda_images/north_korean_propaganda_poster_with_two_women_and_a_pig.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
241
+ 2025-01-05 23:45:17,165 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/propaganda_images/a_poster_with_an_image_of_a_man_in_uniform_and_a_flag.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
242
+ 2025-01-05 23:45:20,033 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/propaganda_images/a_black_and_white_image_of_donald_trump_with_the_words_il_douche.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
243
+ 2025-01-05 23:45:21,741 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/propaganda_images/a_movie_poster_with_donald_trump_and_michael_cohen.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
244
+ 2025-01-05 23:45:21,823 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/propaganda_images/a_t__shirt_with_the_words_more_courty_on_it.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
245
+ 2025-01-05 23:45:22,690 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/propaganda_images/a_north_korean_propaganda_poster_with_an_image_of_a_man_on_a_boat.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
246
+ 2025-01-05 23:45:23,370 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/propaganda_images/a_poster_of_a_man_running_in_front_of_a_group_of_people.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
247
+ 2025-01-05 23:45:26,554 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/propaganda_images/a_black_and_white_poster_with_the_words_resister_on_it.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
248
+ 2025-01-05 23:45:29,633 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/propaganda_images/a_series_of_posters_for_the_movie_wagner.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
249
+ 2025-01-05 23:45:30,325 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/propaganda_images/an_old_political_cartoon_of_a_man_writing_on_a_piece_of_paper.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
250
+ 2025-01-05 23:45:30,677 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/propaganda_images/a_north_korean_propaganda_poster_with_a_woman_holding_a_box_of_food.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
251
+ 2025-01-05 23:45:36,778 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/propaganda_images/sorry_we_didnt_know_you_were_invisible.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
252
+ 2025-01-05 23:45:36,936 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/propaganda_images/an_old_black_and_white_political_poster_with_a_map_of_the_united_states.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
253
+ 2025-01-05 23:45:39,880 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/propaganda_images/a_poster_with_the_words_terrorism_stops_here.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
254
+ 2025-01-05 23:45:40,492 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/propaganda_images/a_collage_of_political_and_cultural_climate_starter_pack.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
255
+ 2025-01-05 23:45:45,224 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/propaganda_images/a_poster_that_says_put_it_back_thief.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
256
+ 2025-01-05 23:46:28,346 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/propaganda_images/two_pictures_of_cigarettes_with_arabic_writing_on_them.jpg: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
257
+ 2025-01-05 23:47:56,148 - WARNING - Skipping .jpg: no matching inversion found
258
+ 2025-01-05 23:49:45,983 - INFO -
259
+ Processing category: protest_and_activism
260
+ 2025-01-05 23:49:49,423 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/protest_and_activism/a_woman_is_putting_something_on_a_mans_head.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
261
+ 2025-01-05 23:49:50,434 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/protest_and_activism/an_image_of_a_card_that_says_not_during_an_election_year.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
262
+ 2025-01-05 23:50:01,814 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/protest_and_activism/a_red_white_and_blue_republican_elephant_with_a_flag.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
263
+ 2025-01-05 23:50:02,385 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/protest_and_activism/why_should_we_go_to_school_if_you_wont_listen_to_the_educated.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
264
+ 2025-01-05 23:50:03,921 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/protest_and_activism/two_pictures_of_a_man_holding_a_rope_and_a_flag_in_front_of_the_capitol.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
265
+ 2025-01-05 23:50:04,735 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/protest_and_activism/a_woman_wearing_a_face_mask_and_holding_a_sign.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
266
+ 2025-01-05 23:50:05,975 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/protest_and_activism/hong_kong_police_spotted_taking_group_photos_after_using_rubber_bullets_to_clear_out_protesters.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
267
+ 2025-01-05 23:50:06,675 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/protest_and_activism/a_collage_of_pictures_with_the_words_traders_for_trump_and_boy.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
268
+ 2025-01-05 23:50:07,825 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/protest_and_activism/a_comic_strip_depicting_a_man_and_woman_talking_to_each_other.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
269
+ 2025-01-05 23:50:08,370 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/protest_and_activism/a_woman_in_a_hijab_kneeling_next_to_a_police_car.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
270
+ 2025-01-05 23:50:09,108 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/protest_and_activism/a_group_of_people_holding_a_banner_that_says_free_palestine.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
271
+ 2025-01-05 23:50:10,452 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/protest_and_activism/a_group_of_people_holding_signs_that_say_blue_lives_matter_and_black_lives_matter.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
272
+ 2025-01-05 23:50:11,501 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/protest_and_activism/a_group_of_people_posing_for_a_photo_in_front_of_a_sign_that_says_smokehouse.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
273
+ 2025-01-05 23:50:12,614 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/protest_and_activism/a_man_sitting_in_front_of_a_table_with_a_sign_that_reads_quarantine_professors_are_just.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
274
+ 2025-01-05 23:50:12,895 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/protest_and_activism/a_group_of_people_holding_up_a_banner_that_says_no_peace.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
275
+ 2025-01-05 23:50:13,155 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/protest_and_activism/an_old_man_sitting_in_a_wheelchair_with_a_caption_that_reads_with_my_new_hoveround.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
276
+ 2025-01-05 23:50:14,365 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/protest_and_activism/a_drawing_of_a_snake_on_a_wooden_table.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
277
+ 2025-01-05 23:50:14,502 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/protest_and_activism/flow_chart_to_be_on_the_right_side_of_history.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
278
+ 2025-01-05 23:50:15,598 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/protest_and_activism/a_bar_chart_shows_the_number_of_people_who_voted_in_the_2016_presidential_election.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
279
+ 2025-01-05 23:50:16,931 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/protest_and_activism/conservatives_when_black_people_get_close.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
280
+ 2025-01-05 23:50:17,406 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/protest_and_activism/what_is_the_difference_between_black_lives_matter_and_antiracism.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
281
+ 2025-01-05 23:50:18,540 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/protest_and_activism/two_police_officers_carry_a_man_on_their_shoulders.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
282
+ 2025-01-05 23:50:21,067 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/protest_and_activism/a_man_and_woman_holding_signs_that_say_help_me_shoot_me.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
283
+ 2025-01-05 23:59:02,836 - INFO -
284
+ Processing category: visual_evidence
285
+ 2025-01-05 23:59:09,564 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/visual_evidence/a_laptop_computer_sitting_on_top_of_a_piece_of_paper.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
286
+ 2025-01-05 23:59:09,991 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/visual_evidence/two_colorful_rainbow_flags_sitting_on_rocks_by_the_water.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
287
+ 2025-01-05 23:59:11,210 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/visual_evidence/a_box_of_pure_white_fire_proof_snow.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
288
+ 2025-01-05 23:59:11,349 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/visual_evidence/a_map_of_the_roman_empire.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
289
+ 2025-01-05 23:59:11,513 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/visual_evidence/two_small_pieces_of_stone_with_designs_on_them.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
290
+ 2025-01-05 23:59:12,103 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/visual_evidence/an_aerial_view_of_a_satellite_dish_in_the_middle_of_a_field.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
291
+ 2025-01-05 23:59:17,042 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/visual_evidence/a_woman_with_a_rifle_in_the_snow.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
292
+ 2025-01-05 23:59:17,456 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/visual_evidence/a_black_and_white_striped_worm_laying_on_a_leaf.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
293
+ 2025-01-05 23:59:17,995 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/visual_evidence/ramanujans_first_letter_to_hardy_screenshot.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
294
+ 2025-01-05 23:59:18,217 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/visual_evidence/a_group_of_people_holding_up_signs_in_front_of_the_washington_monument.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
295
+ 2025-01-05 23:59:18,850 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/visual_evidence/a_man_is_playing_a_video_game_on_a_tv_screen.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
296
+ 2025-01-05 23:59:22,364 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/visual_evidence/flowers_and_candles_are_placed_on_the_steps_of_the_supreme_court.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
297
+ 2025-01-05 23:59:22,940 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/visual_evidence/the_ku_klux_klan.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
298
+ 2025-01-05 23:59:23,312 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/visual_evidence/a_shirtless_man_holding_an_iphone_in_front_of_a_mirror.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
299
+ 2025-01-05 23:59:23,424 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/visual_evidence/an_iphone_with_a_bullet_hole_in_it_is_shown.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
300
+ 2025-01-05 23:59:23,768 - ERROR - Error processing /shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/visual_evidence/a_man_and_woman_holding_signs_that_say_help_me_shoot_me.png: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 1
301
+ 2025-01-06 00:05:45,745 - INFO - Processing completed
data_for_ghazi/flux_scrapped/metric.py ADDED
@@ -0,0 +1,265 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+ import torch
3
+ import numpy as np
4
+ from PIL import Image
5
+ import torchvision.transforms as transforms
6
+ from skimage.metrics import peak_signal_noise_ratio as psnr
7
+ from skimage.metrics import structural_similarity as ssim
8
+ import lpips
9
+ from transformers import CLIPProcessor, CLIPModel
10
+ import cv2
11
+ import json
12
+ from tqdm import tqdm
13
+ from datetime import datetime
14
+ from pathlib import Path
15
+ import logging
16
+ from typing import Dict, List, Tuple, Optional
17
+
18
+ # Configure logging
19
+ logging.basicConfig(
20
+ level=logging.INFO,
21
+ format='%(asctime)s - %(levelname)s - %(message)s',
22
+ handlers=[
23
+ logging.FileHandler('image_metrics.log'),
24
+ logging.StreamHandler()
25
+ ]
26
+ )
27
+
28
+ class Config:
29
+ METRIC_WEIGHTS = {
30
+ 'psnr': 0.15,
31
+ 'ssim': 0.30,
32
+ 'lpips': 0.35,
33
+ 'clip': 0.20
34
+ }
35
+
36
+ PSNR_BOUNDS = {
37
+ 'min': 20,
38
+ 'max': 50
39
+ }
40
+
41
+ CATEGORIES = [
42
+ 'ai_art', 'clickbait_thumbnails', 'conspiracy_imagery',
43
+ 'fake_product_ads', 'hateful_memes', 'misinformation_graphics',
44
+ 'people_faces', 'propaganda_images', 'protest_and_activism',
45
+ 'visual_evidence'
46
+ ]
47
+
48
+ class ImageMetricsCalculator:
49
+ def __init__(self, original_root: str, inversion_root: str, device: str = None):
50
+ self.original_root = Path(original_root)
51
+ self.inversion_root = Path(inversion_root)
52
+ self.device = device if device else ('cuda' if torch.cuda.is_available() else 'cpu')
53
+ self.setup_models()
54
+
55
+ def setup_models(self):
56
+ """Initialize LPIPS and CLIP models"""
57
+ logging.info(f"Setting up models on {self.device}")
58
+ self.lpips_model = lpips.LPIPS(net='alex').to(self.device).eval()
59
+ self.clip_model = CLIPModel.from_pretrained("openai/clip-vit-base-patch32").to(self.device)
60
+ self.clip_processor = CLIPProcessor.from_pretrained("openai/clip-vit-base-patch32")
61
+
62
+ def cleanup(self):
63
+ """Clean up GPU resources"""
64
+ if hasattr(self, 'lpips_model'):
65
+ del self.lpips_model
66
+ if hasattr(self, 'clip_model'):
67
+ del self.clip_model
68
+ torch.cuda.empty_cache()
69
+
70
+ def normalize_psnr(self, psnr_value: float) -> float:
71
+ """Normalize PSNR to 0-1 range"""
72
+ return np.clip(
73
+ (psnr_value - Config.PSNR_BOUNDS['min']) /
74
+ (Config.PSNR_BOUNDS['max'] - Config.PSNR_BOUNDS['min']),
75
+ 0, 1
76
+ )
77
+
78
+ def calculate_combined_score(self, metrics: Dict[str, float]) -> float:
79
+ """Calculate combined similarity score with weighted metrics"""
80
+ norm_psnr = self.normalize_psnr(metrics['psnr'])
81
+ norm_ssim = (metrics['ssim'] + 1) / 2
82
+ norm_lpips = 1 - metrics['lpips']
83
+ norm_clip = (metrics['clip_similarity'] + 1) / 2
84
+
85
+ return sum(
86
+ Config.METRIC_WEIGHTS[metric] * value
87
+ for metric, value in {
88
+ 'psnr': norm_psnr,
89
+ 'ssim': norm_ssim,
90
+ 'lpips': norm_lpips,
91
+ 'clip': norm_clip
92
+ }.items()
93
+ )
94
+
95
+ def process_image_pair(self, original_path: Path, inversion_path: Path) -> Dict:
96
+ """Process a single pair of images and calculate all metrics"""
97
+ try:
98
+ # Load and resize images
99
+ original_img = cv2.imread(str(original_path))
100
+ inversion_img = cv2.imread(str(inversion_path))
101
+
102
+ if original_img is None or inversion_img is None:
103
+ raise ValueError(f"Failed to load images: {original_path} or {inversion_path}")
104
+
105
+ # Resize inversion to match original if needed
106
+ if original_img.shape != inversion_img.shape:
107
+ inversion_img = cv2.resize(inversion_img,
108
+ (original_img.shape[1], original_img.shape[0]),
109
+ interpolation=cv2.INTER_AREA)
110
+
111
+ # Calculate metrics
112
+ metrics = {
113
+ 'psnr': psnr(original_img, inversion_img),
114
+ 'ssim': ssim(original_img, inversion_img, channel_axis=2, data_range=255),
115
+ 'lpips': self.calculate_lpips(str(original_path), str(inversion_path)),
116
+ 'clip_similarity': self.calculate_clip_similarity(str(original_path), str(inversion_path))
117
+ }
118
+
119
+ metrics['combined_score'] = self.calculate_combined_score(metrics)
120
+
121
+ return {
122
+ 'original_path': str(original_path),
123
+ 'inversion_path': str(inversion_path),
124
+ 'metrics': metrics
125
+ }
126
+
127
+ except Exception as e:
128
+ logging.error(f"Error processing {original_path}: {str(e)}")
129
+ return None
130
+
131
+ def calculate_lpips(self, img1_path: str, img2_path: str) -> float:
132
+ """Calculate LPIPS between two images"""
133
+ transform = transforms.Compose([
134
+ transforms.Resize((224, 224)),
135
+ transforms.ToTensor(),
136
+ ])
137
+
138
+ img1 = transform(Image.open(img1_path)).unsqueeze(0).to(self.device)
139
+ img2 = transform(Image.open(img2_path)).unsqueeze(0).to(self.device)
140
+
141
+ with torch.no_grad():
142
+ return self.lpips_model(img1, img2).item()
143
+
144
+ def calculate_clip_similarity(self, img1_path: str, img2_path: str) -> float:
145
+ """Calculate CLIP embedding cosine similarity"""
146
+ img1 = Image.open(img1_path)
147
+ img2 = Image.open(img2_path)
148
+
149
+ inputs1 = self.clip_processor(images=img1, return_tensors="pt")
150
+ inputs2 = self.clip_processor(images=img2, return_tensors="pt")
151
+
152
+ inputs1 = {k: v.to(self.device) if hasattr(v, 'to') else v for k, v in inputs1.items()}
153
+ inputs2 = {k: v.to(self.device) if hasattr(v, 'to') else v for k, v in inputs2.items()}
154
+
155
+ with torch.no_grad():
156
+ img1_features = self.clip_model.get_image_features(**inputs1)
157
+ img2_features = self.clip_model.get_image_features(**inputs2)
158
+
159
+ img1_features = img1_features / img1_features.norm(dim=-1, keepdim=True)
160
+ img2_features = img2_features / img2_features.norm(dim=-1, keepdim=True)
161
+
162
+ return (img1_features @ img2_features.T).item()
163
+
164
+ def process_category(self, category: str) -> Dict:
165
+ """Process all images in a category"""
166
+ original_dir = self.original_root / category
167
+ inversion_dir = self.inversion_root / f"inv_{category}"
168
+
169
+ if not original_dir.exists() or not inversion_dir.exists():
170
+ logging.warning(f"Skipping {category}: directories not found")
171
+ return None
172
+
173
+ results = []
174
+ original_files = list(original_dir.glob('*.png')) + list(original_dir.glob('*.jpg'))
175
+
176
+ for orig_path in tqdm(original_files, desc=f"Processing {category}"):
177
+ # Just use the original filename since inv_ is already in the folder name
178
+ inv_path = inversion_dir / orig_path.name
179
+ if not inv_path.exists():
180
+ logging.warning(f"Skipping {orig_path.name}: no matching inversion found")
181
+ continue
182
+
183
+ result = self.process_image_pair(orig_path, inv_path)
184
+ if result:
185
+ results.append(result)
186
+
187
+ return {
188
+ 'category': category,
189
+ 'total_processed': len(results),
190
+ 'results': results
191
+ }
192
+
193
+ def calculate_category_averages(self, category_results: Dict) -> Dict:
194
+ """Calculate average metrics for a category"""
195
+ if not category_results or not category_results['results']:
196
+ return None
197
+
198
+ metrics = ['psnr', 'ssim', 'lpips', 'clip_similarity', 'combined_score']
199
+ averages = {
200
+ metric: np.mean([r['metrics'][metric] for r in category_results['results']])
201
+ for metric in metrics
202
+ }
203
+
204
+ return {
205
+ 'category': category_results['category'],
206
+ 'total_images': category_results['total_processed'],
207
+ 'average_metrics': averages
208
+ }
209
+
210
+ def main():
211
+ # Set paths
212
+ original_root = "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images"
213
+ inversion_root = "/shared/shashmi/inversion/flux_inverter/rf_inversion/invflux"
214
+
215
+ # Create output directory
216
+ output_dir = Path("metrics_output")
217
+ output_dir.mkdir(exist_ok=True)
218
+
219
+ # Initialize calculator
220
+ calculator = ImageMetricsCalculator(original_root, inversion_root)
221
+
222
+ try:
223
+ all_results = {}
224
+ category_averages = []
225
+
226
+ # Process each category
227
+ for category in Config.CATEGORIES:
228
+ logging.info(f"\nProcessing category: {category}")
229
+
230
+ results = calculator.process_category(category)
231
+ if results:
232
+ all_results[category] = results
233
+
234
+ # Calculate and store averages
235
+ averages = calculator.calculate_category_averages(results)
236
+ if averages:
237
+ category_averages.append(averages)
238
+
239
+ # Save individual category results
240
+ timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
241
+ output_file = output_dir / f"{category}_metrics_{timestamp}.json"
242
+ with open(output_file, 'w') as f:
243
+ json.dump(results, f, indent=2)
244
+
245
+ # Save overall averages
246
+ if category_averages:
247
+ output_file = output_dir / f"category_averages_{timestamp}.json"
248
+ with open(output_file, 'w') as f:
249
+ json.dump(category_averages, f, indent=2)
250
+
251
+ # Print summary
252
+ print("\nCategory Averages:")
253
+ print("-" * 80)
254
+ for avg in category_averages:
255
+ print(f"\n{avg['category']} ({avg['total_images']} images):")
256
+ for metric, value in avg['average_metrics'].items():
257
+ print(f"{metric}: {value:.4f}")
258
+
259
+ finally:
260
+ # Cleanup
261
+ calculator.cleanup()
262
+ logging.info("Processing completed")
263
+
264
+ if __name__ == "__main__":
265
+ main()
data_for_ghazi/flux_scrapped/metrics_output/ai_art_metrics_20250105_225805.json ADDED
@@ -0,0 +1,1854 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "category": "ai_art",
3
+ "total_processed": 168,
4
+ "results": [
5
+ {
6
+ "original_path": "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/an_image_of_a_fish_in_a_fish_bowl_with_a_beer_in_front_of_it.png",
7
+ "inversion_path": "/shared/shashmi/inversion/flux_inverter/rf_inversion/invflux/inv_ai_art/an_image_of_a_fish_in_a_fish_bowl_with_a_beer_in_front_of_it.png",
8
+ "metrics": {
9
+ "psnr": 16.829519491405446,
10
+ "ssim": 0.5469411914992302,
11
+ "lpips": 0.2127418965101242,
12
+ "clip_similarity": 0.8967844247817993,
13
+ "combined_score": 0.6972599574245208
14
+ }
15
+ },
16
+ {
17
+ "original_path": "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_close_up_of_a_star_wars_clone_trooper_helmet.png",
18
+ "inversion_path": "/shared/shashmi/inversion/flux_inverter/rf_inversion/invflux/inv_ai_art/a_close_up_of_a_star_wars_clone_trooper_helmet.png",
19
+ "metrics": {
20
+ "psnr": 17.675653272230015,
21
+ "ssim": 0.6917598855140138,
22
+ "lpips": 0.172512948513031,
23
+ "clip_similarity": 0.9536811113357544,
24
+ "combined_score": 0.7387525619811166
25
+ }
26
+ },
27
+ {
28
+ "original_path": "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/two_robots_sitting_at_a_bar_drinking_beer.png",
29
+ "inversion_path": "/shared/shashmi/inversion/flux_inverter/rf_inversion/invflux/inv_ai_art/two_robots_sitting_at_a_bar_drinking_beer.png",
30
+ "metrics": {
31
+ "psnr": 15.03645919239599,
32
+ "ssim": 0.4805642401491947,
33
+ "lpips": 0.232760950922966,
34
+ "clip_similarity": 0.9418973922729492,
35
+ "combined_score": 0.6848080424266361
36
+ }
37
+ },
38
+ {
39
+ "original_path": "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/a_piece_of_rock_with_different_colors_on_it.png",
40
+ "inversion_path": "/shared/shashmi/inversion/flux_inverter/rf_inversion/invflux/inv_ai_art/a_piece_of_rock_with_different_colors_on_it.png",
41
+ "metrics": {
42
+ "psnr": 18.566700329594727,
43
+ "ssim": 0.5304463383072321,
44
+ "lpips": 0.24406284093856812,
45
+ "clip_similarity": 0.8022425174713135,
46
+ "combined_score": 0.6743692081647172
47
+ }
48
+ },
49
+ {
50
+ "original_path": "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/cartoon_set_of_magic_items_including_a_book_key_shield_and_star.png",
51
+ "inversion_path": "/shared/shashmi/inversion/flux_inverter/rf_inversion/invflux/inv_ai_art/cartoon_set_of_magic_items_including_a_book_key_shield_and_star.png",
52
+ "metrics": {
53
+ "psnr": 17.73334639722611,
54
+ "ssim": 0.7839463477677621,
55
+ "lpips": 0.0647796094417572,
56
+ "clip_similarity": 0.9806340932846069,
57
+ "combined_score": 0.7929824981890099
58
+ }
59
+ },
60
+ {
61
+ "original_path": "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/an_image_of_a_man_with_big_eyes.png",
62
+ "inversion_path": "/shared/shashmi/inversion/flux_inverter/rf_inversion/invflux/inv_ai_art/an_image_of_a_man_with_big_eyes.png",
63
+ "metrics": {
64
+ "psnr": 22.46074932589147,
65
+ "ssim": 0.7551055620395104,
66
+ "lpips": 0.10079669952392578,
67
+ "clip_similarity": 0.9386777877807617,
68
+ "combined_score": 0.7841585148800859
69
+ }
70
+ },
71
+ {
72
+ "original_path": "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/ai_art/an_old_castle_sits_on_top_of_a_hill_in_the_mountains.png",
73
+ "inversion_path": "/shared/shashmi/inversion/flux_inverter/rf_inversion/invflux/inv_ai_art/an_old_castle_sits_on_top_of_a_hill_in_the_mountains.png",
74
+ "metrics": {
75
+ "psnr": 19.072764481734094,
76
+ "ssim": 0.6910618929950926,
77
+ "lpips": 0.22015006840229034,
78
+ "clip_similarity": 0.8550921082496643,
79
+ "combined_score": 0.7121159708334286
80
+ }
81
+ },
82
+ {
83
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+ "combined_score": 0.7413548590617424
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+ }
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+ },
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+ "inversion_path": "/shared/shashmi/inversion/flux_inverter/rf_inversion/invflux/inv_fake_product_ads/a_text_message_on_a_phone_that_readsfirst_week_payment.jpg",
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+ "metrics": {
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+ "lpips": 0.0553031787276268,
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+ "inversion_path": "/shared/shashmi/inversion/flux_inverter/rf_inversion/invflux/inv_fake_product_ads/a_picture_of_a_business_card_that_says_our_service_really_stacks_up.jpg",
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+ "metrics": {
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+ "inversion_path": "/shared/shashmi/inversion/flux_inverter/rf_inversion/invflux/inv_fake_product_ads/a_screenshot_of_a_text_message_on_a_phone.jpg",
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+ "metrics": {
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+ }
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+ },
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+ "original_path": "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/fake_product_ads/gordon_ramsay_cookware_giveaway.jpg",
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+ "inversion_path": "/shared/shashmi/inversion/flux_inverter/rf_inversion/invflux/inv_fake_product_ads/gordon_ramsay_cookware_giveaway.jpg",
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+ "metrics": {
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+ "combined_score": 0.7650737331523626
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+ }
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+ },
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+ {
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+ "original_path": "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/fake_product_ads/five_pieces_of_mens_tactical_pants_on_sale_for__29.jpg",
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+ "inversion_path": "/shared/shashmi/inversion/flux_inverter/rf_inversion/invflux/inv_fake_product_ads/five_pieces_of_mens_tactical_pants_on_sale_for__29.jpg",
1251
+ "metrics": {
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+ }
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+ },
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+ {
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+ "original_path": "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/fake_product_ads/an_iphone_screen_showing_a_text_message_from_a_friend.jpg",
1261
+ "inversion_path": "/shared/shashmi/inversion/flux_inverter/rf_inversion/invflux/inv_fake_product_ads/an_iphone_screen_showing_a_text_message_from_a_friend.jpg",
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+ "metrics": {
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+ "combined_score": 0.7346905890096521
1268
+ }
1269
+ }
1270
+ ]
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+ }
data_for_ghazi/flux_scrapped/metrics_output/hateful_memes_metrics_20250105_231036.json ADDED
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data_for_ghazi/flux_scrapped/metrics_output/misinformation_graphics_metrics_20250105_232026.json ADDED
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data_for_ghazi/flux_scrapped/metrics_output/people_faces_metrics_20250105_234500.json ADDED
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data_for_ghazi/flux_scrapped/metrics_output/propaganda_images_metrics_20250105_234945.json ADDED
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data_for_ghazi/flux_scrapped/metrics_output/protest_and_activism_metrics_20250105_235902.json ADDED
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data_for_ghazi/flux_scrapped/metrics_output/visual_evidence_metrics_20250106_000545.json ADDED
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data_for_ghazi/sd2_scrapped/graphs.ipynb ADDED
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1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:b30972df231451013719514b299c1ff87bfc1e9bd03c7e1ed29449c51a146e08
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+ size 14469208
data_for_ghazi/sd2_scrapped/image_metrics.log ADDED
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data_for_ghazi/sd2_scrapped/metric.py ADDED
@@ -0,0 +1,265 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+ import torch
3
+ import numpy as np
4
+ from PIL import Image
5
+ import torchvision.transforms as transforms
6
+ from skimage.metrics import peak_signal_noise_ratio as psnr
7
+ from skimage.metrics import structural_similarity as ssim
8
+ import lpips
9
+ from transformers import CLIPProcessor, CLIPModel
10
+ import cv2
11
+ import json
12
+ from tqdm import tqdm
13
+ from datetime import datetime
14
+ from pathlib import Path
15
+ import logging
16
+ from typing import Dict, List, Tuple, Optional
17
+
18
+ # Configure logging
19
+ logging.basicConfig(
20
+ level=logging.INFO,
21
+ format='%(asctime)s - %(levelname)s - %(message)s',
22
+ handlers=[
23
+ logging.FileHandler('image_metrics.log'),
24
+ logging.StreamHandler()
25
+ ]
26
+ )
27
+
28
+ class Config:
29
+ METRIC_WEIGHTS = {
30
+ 'psnr': 0.15,
31
+ 'ssim': 0.30,
32
+ 'lpips': 0.35,
33
+ 'clip': 0.20
34
+ }
35
+
36
+ PSNR_BOUNDS = {
37
+ 'min': 20,
38
+ 'max': 50
39
+ }
40
+
41
+ CATEGORIES = [
42
+ 'ai_art', 'clickbait_thumbnails', 'conspiracy_imagery',
43
+ 'fake_product_ads', 'hateful_memes', 'misinformation_graphics',
44
+ 'people_faces', 'propaganda_images', 'protest_and_activism',
45
+ 'visual_evidence'
46
+ ]
47
+
48
+ class ImageMetricsCalculator:
49
+ def __init__(self, original_root: str, inversion_root: str, device: str = None):
50
+ self.original_root = Path(original_root)
51
+ self.inversion_root = Path(inversion_root)
52
+ self.device = device if device else ('cuda' if torch.cuda.is_available() else 'cpu')
53
+ self.setup_models()
54
+
55
+ def setup_models(self):
56
+ """Initialize LPIPS and CLIP models"""
57
+ logging.info(f"Setting up models on {self.device}")
58
+ self.lpips_model = lpips.LPIPS(net='alex').to(self.device).eval()
59
+ self.clip_model = CLIPModel.from_pretrained("openai/clip-vit-base-patch32").to(self.device)
60
+ self.clip_processor = CLIPProcessor.from_pretrained("openai/clip-vit-base-patch32")
61
+
62
+ def cleanup(self):
63
+ """Clean up GPU resources"""
64
+ if hasattr(self, 'lpips_model'):
65
+ del self.lpips_model
66
+ if hasattr(self, 'clip_model'):
67
+ del self.clip_model
68
+ torch.cuda.empty_cache()
69
+
70
+ def normalize_psnr(self, psnr_value: float) -> float:
71
+ """Normalize PSNR to 0-1 range"""
72
+ return np.clip(
73
+ (psnr_value - Config.PSNR_BOUNDS['min']) /
74
+ (Config.PSNR_BOUNDS['max'] - Config.PSNR_BOUNDS['min']),
75
+ 0, 1
76
+ )
77
+
78
+ def calculate_combined_score(self, metrics: Dict[str, float]) -> float:
79
+ """Calculate combined similarity score with weighted metrics"""
80
+ norm_psnr = self.normalize_psnr(metrics['psnr'])
81
+ norm_ssim = (metrics['ssim'] + 1) / 2
82
+ norm_lpips = 1 - metrics['lpips']
83
+ norm_clip = (metrics['clip_similarity'] + 1) / 2
84
+
85
+ return sum(
86
+ Config.METRIC_WEIGHTS[metric] * value
87
+ for metric, value in {
88
+ 'psnr': norm_psnr,
89
+ 'ssim': norm_ssim,
90
+ 'lpips': norm_lpips,
91
+ 'clip': norm_clip
92
+ }.items()
93
+ )
94
+
95
+ def process_image_pair(self, original_path: Path, inversion_path: Path) -> Dict:
96
+ """Process a single pair of images and calculate all metrics"""
97
+ try:
98
+ # Load and resize images
99
+ original_img = cv2.imread(str(original_path))
100
+ inversion_img = cv2.imread(str(inversion_path))
101
+
102
+ if original_img is None or inversion_img is None:
103
+ raise ValueError(f"Failed to load images: {original_path} or {inversion_path}")
104
+
105
+ # Resize inversion to match original if needed
106
+ if original_img.shape != inversion_img.shape:
107
+ inversion_img = cv2.resize(inversion_img,
108
+ (original_img.shape[1], original_img.shape[0]),
109
+ interpolation=cv2.INTER_AREA)
110
+
111
+ # Calculate metrics
112
+ metrics = {
113
+ 'psnr': psnr(original_img, inversion_img),
114
+ 'ssim': ssim(original_img, inversion_img, channel_axis=2, data_range=255),
115
+ 'lpips': self.calculate_lpips(str(original_path), str(inversion_path)),
116
+ 'clip_similarity': self.calculate_clip_similarity(str(original_path), str(inversion_path))
117
+ }
118
+
119
+ metrics['combined_score'] = self.calculate_combined_score(metrics)
120
+
121
+ return {
122
+ 'original_path': str(original_path),
123
+ 'inversion_path': str(inversion_path),
124
+ 'metrics': metrics
125
+ }
126
+
127
+ except Exception as e:
128
+ logging.error(f"Error processing {original_path}: {str(e)}")
129
+ return None
130
+
131
+ def calculate_lpips(self, img1_path: str, img2_path: str) -> float:
132
+ """Calculate LPIPS between two images"""
133
+ transform = transforms.Compose([
134
+ transforms.Resize((224, 224)),
135
+ transforms.ToTensor(),
136
+ ])
137
+
138
+ img1 = transform(Image.open(img1_path)).unsqueeze(0).to(self.device)
139
+ img2 = transform(Image.open(img2_path)).unsqueeze(0).to(self.device)
140
+
141
+ with torch.no_grad():
142
+ return self.lpips_model(img1, img2).item()
143
+
144
+ def calculate_clip_similarity(self, img1_path: str, img2_path: str) -> float:
145
+ """Calculate CLIP embedding cosine similarity"""
146
+ img1 = Image.open(img1_path)
147
+ img2 = Image.open(img2_path)
148
+
149
+ inputs1 = self.clip_processor(images=img1, return_tensors="pt")
150
+ inputs2 = self.clip_processor(images=img2, return_tensors="pt")
151
+
152
+ inputs1 = {k: v.to(self.device) if hasattr(v, 'to') else v for k, v in inputs1.items()}
153
+ inputs2 = {k: v.to(self.device) if hasattr(v, 'to') else v for k, v in inputs2.items()}
154
+
155
+ with torch.no_grad():
156
+ img1_features = self.clip_model.get_image_features(**inputs1)
157
+ img2_features = self.clip_model.get_image_features(**inputs2)
158
+
159
+ img1_features = img1_features / img1_features.norm(dim=-1, keepdim=True)
160
+ img2_features = img2_features / img2_features.norm(dim=-1, keepdim=True)
161
+
162
+ return (img1_features @ img2_features.T).item()
163
+
164
+ def process_category(self, category: str) -> Dict:
165
+ """Process all images in a category"""
166
+ original_dir = self.original_root / category
167
+ inversion_dir = self.inversion_root / f"inv_{category}"
168
+
169
+ if not original_dir.exists() or not inversion_dir.exists():
170
+ logging.warning(f"Skipping {category}: directories not found")
171
+ return None
172
+
173
+ results = []
174
+ original_files = list(original_dir.glob('*.png')) + list(original_dir.glob('*.jpg'))
175
+
176
+ for orig_path in tqdm(original_files, desc=f"Processing {category}"):
177
+ # Just use the original filename since inv_ is already in the folder name
178
+ inv_path = inversion_dir / orig_path.name
179
+ if not inv_path.exists():
180
+ logging.warning(f"Skipping {orig_path.name}: no matching inversion found")
181
+ continue
182
+
183
+ result = self.process_image_pair(orig_path, inv_path)
184
+ if result:
185
+ results.append(result)
186
+
187
+ return {
188
+ 'category': category,
189
+ 'total_processed': len(results),
190
+ 'results': results
191
+ }
192
+
193
+ def calculate_category_averages(self, category_results: Dict) -> Dict:
194
+ """Calculate average metrics for a category"""
195
+ if not category_results or not category_results['results']:
196
+ return None
197
+
198
+ metrics = ['psnr', 'ssim', 'lpips', 'clip_similarity', 'combined_score']
199
+ averages = {
200
+ metric: np.mean([r['metrics'][metric] for r in category_results['results']])
201
+ for metric in metrics
202
+ }
203
+
204
+ return {
205
+ 'category': category_results['category'],
206
+ 'total_images': category_results['total_processed'],
207
+ 'average_metrics': averages
208
+ }
209
+
210
+ def main():
211
+ # Set paths
212
+ original_root = "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images"
213
+ inversion_root = "/shared/shashmi/inversion/The-Liar-s-Divident-Measuring-the-Risk-of-Image-Generators-on-the-Plausible-Deniability/invsd2"
214
+
215
+ # Create output directory
216
+ output_dir = Path("metrics_output")
217
+ output_dir.mkdir(exist_ok=True)
218
+
219
+ # Initialize calculator
220
+ calculator = ImageMetricsCalculator(original_root, inversion_root)
221
+
222
+ try:
223
+ all_results = {}
224
+ category_averages = []
225
+
226
+ # Process each category
227
+ for category in Config.CATEGORIES:
228
+ logging.info(f"\nProcessing category: {category}")
229
+
230
+ results = calculator.process_category(category)
231
+ if results:
232
+ all_results[category] = results
233
+
234
+ # Calculate and store averages
235
+ averages = calculator.calculate_category_averages(results)
236
+ if averages:
237
+ category_averages.append(averages)
238
+
239
+ # Save individual category results
240
+ timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
241
+ output_file = output_dir / f"{category}_metrics_{timestamp}.json"
242
+ with open(output_file, 'w') as f:
243
+ json.dump(results, f, indent=2)
244
+
245
+ # Save overall averages
246
+ if category_averages:
247
+ output_file = output_dir / f"category_averages_{timestamp}.json"
248
+ with open(output_file, 'w') as f:
249
+ json.dump(category_averages, f, indent=2)
250
+
251
+ # Print summary
252
+ print("\nCategory Averages:")
253
+ print("-" * 80)
254
+ for avg in category_averages:
255
+ print(f"\n{avg['category']} ({avg['total_images']} images):")
256
+ for metric, value in avg['average_metrics'].items():
257
+ print(f"{metric}: {value:.4f}")
258
+
259
+ finally:
260
+ # Cleanup
261
+ calculator.cleanup()
262
+ logging.info("Processing completed")
263
+
264
+ if __name__ == "__main__":
265
+ main()
data_for_ghazi/sd2_scrapped/metrics_output/ai_art_metrics_20250105_225041.json ADDED
The diff for this file is too large to render. See raw diff
 
data_for_ghazi/sd2_scrapped/metrics_output/category_averages_20250105_235424.json ADDED
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1
+ [
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+ {
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+ "category": "ai_art",
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+ "total_images": 168,
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+ "average_metrics": {
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+ "combined_score": 0.6439365706648366
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+ }
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+ },
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+ {
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+ "category": "clickbait_thumbnails",
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+ "total_images": 163,
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+ "average_metrics": {
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+ "ssim": 0.5546061041224934,
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+ "clip_similarity": 0.6681384627073089,
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+ "combined_score": 0.6330961743063462
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+ }
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+ },
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+ {
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+ "category": "conspiracy_imagery",
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+ "total_images": 211,
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+ "average_metrics": {
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+ "clip_similarity": 0.6800607284663412,
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+ "combined_score": 0.6422297992644809
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+ }
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+ },
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+ {
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+ "category": "fake_product_ads",
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+ "total_images": 115,
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+ "average_metrics": {
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+ "psnr": 15.912268256978685,
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+ "ssim": 0.6222304865335311,
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+ "lpips": 0.36835694572199945,
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+ "clip_similarity": 0.5562503254931906,
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+ "combined_score": 0.6200346745266488
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+ }
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+ },
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+ {
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+ "category": "hateful_memes",
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+ "total_images": 399,
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+ "average_metrics": {
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+ "psnr": 17.18229713691956,
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+ "ssim": 0.5799403113238792,
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+ "clip_similarity": 0.7151386891690114,
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+ "combined_score": 0.651063650917741
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+ }
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+ },
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+ {
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+ "category": "misinformation_graphics",
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+ "total_images": 305,
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+ "average_metrics": {
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+ "ssim": 0.5907435868613321,
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+ "clip_similarity": 0.6365171859498884,
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+ }
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+ },
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+ "category": "people_faces",
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+ "total_images": 522,
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+ "average_metrics": {
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+ "clip_similarity": 0.6842562196583584,
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+ "combined_score": 0.6288321135421866
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+ }
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+ },
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+ {
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+ "category": "propaganda_images",
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+ "total_images": 262,
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+ "average_metrics": {
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+ "clip_similarity": 0.6872934166711705,
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+ "combined_score": 0.6248989463693965
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+ }
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+ },
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+ {
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+ "category": "protest_and_activism",
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+ "total_images": 401,
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+ "average_metrics": {
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+ "psnr": 16.502844768476532,
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+ "inversion_path": "/shared/shashmi/inversion/The-Liar-s-Divident-Measuring-the-Risk-of-Image-Generators-on-the-Plausible-Deniability/invsd2/inv_fake_product_ads/a_screenshot_of_the_iphone_app_that_shows_how_to_buy_bitcoin.jpg",
1163
+ "metrics": {
1164
+ "psnr": 15.698856719796556,
1165
+ "ssim": 0.5556051436272113,
1166
+ "lpips": 0.5151423215866089,
1167
+ "clip_similarity": 0.4037303924560547,
1168
+ "combined_score": 0.5434139982343741
1169
+ }
1170
+ },
1171
+ {
1172
+ "original_path": "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/fake_product_ads/the_instagram_app_on_an_iphone_with_a_photo_of_a_car.jpg",
1173
+ "inversion_path": "/shared/shashmi/inversion/The-Liar-s-Divident-Measuring-the-Risk-of-Image-Generators-on-the-Plausible-Deniability/invsd2/inv_fake_product_ads/the_instagram_app_on_an_iphone_with_a_photo_of_a_car.jpg",
1174
+ "metrics": {
1175
+ "psnr": 14.083038728152724,
1176
+ "ssim": 0.15297438232480068,
1177
+ "lpips": 0.44765418767929077,
1178
+ "clip_similarity": 0.5805230140686035,
1179
+ "combined_score": 0.5243194930678287
1180
+ }
1181
+ },
1182
+ {
1183
+ "original_path": "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/fake_product_ads/a_screen_shot_of_an_app_that_shows_different_types_of_messages.jpg",
1184
+ "inversion_path": "/shared/shashmi/inversion/The-Liar-s-Divident-Measuring-the-Risk-of-Image-Generators-on-the-Plausible-Deniability/invsd2/inv_fake_product_ads/a_screen_shot_of_an_app_that_shows_different_types_of_messages.jpg",
1185
+ "metrics": {
1186
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1187
+ "ssim": 0.418732852423872,
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+ "lpips": 0.4629098176956177,
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+ "clip_similarity": 0.5329890251159668,
1190
+ "combined_score": 0.5540903941817114
1191
+ }
1192
+ },
1193
+ {
1194
+ "original_path": "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/fake_product_ads/mens_tactical_pants_for_sale_on_amazon.jpg",
1195
+ "inversion_path": "/shared/shashmi/inversion/The-Liar-s-Divident-Measuring-the-Risk-of-Image-Generators-on-the-Plausible-Deniability/invsd2/inv_fake_product_ads/mens_tactical_pants_for_sale_on_amazon.jpg",
1196
+ "metrics": {
1197
+ "psnr": 16.13816875966672,
1198
+ "ssim": 0.6815953507440616,
1199
+ "lpips": 0.29134175181388855,
1200
+ "clip_similarity": 0.5567554831504822,
1201
+ "combined_score": 0.6559452377917965
1202
+ }
1203
+ },
1204
+ {
1205
+ "original_path": "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/fake_product_ads/a_text_message_on_a_phone_that_readsfirst_week_payment.jpg",
1206
+ "inversion_path": "/shared/shashmi/inversion/The-Liar-s-Divident-Measuring-the-Risk-of-Image-Generators-on-the-Plausible-Deniability/invsd2/inv_fake_product_ads/a_text_message_on_a_phone_that_readsfirst_week_payment.jpg",
1207
+ "metrics": {
1208
+ "psnr": 12.820457133142309,
1209
+ "ssim": 0.6297071112193203,
1210
+ "lpips": 0.5164781808853149,
1211
+ "clip_similarity": 0.4002702534198761,
1212
+ "combined_score": 0.5537157287150254
1213
+ }
1214
+ },
1215
+ {
1216
+ "original_path": "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/fake_product_ads/a_picture_of_a_business_card_that_says_our_service_really_stacks_up.jpg",
1217
+ "inversion_path": "/shared/shashmi/inversion/The-Liar-s-Divident-Measuring-the-Risk-of-Image-Generators-on-the-Plausible-Deniability/invsd2/inv_fake_product_ads/a_picture_of_a_business_card_that_says_our_service_really_stacks_up.jpg",
1218
+ "metrics": {
1219
+ "psnr": 15.929698223967073,
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+ "ssim": 0.44191768465446507,
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+ "lpips": 0.30651044845581055,
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+ "clip_similarity": 0.6149473190307617,
1223
+ "combined_score": 0.6205037276417122
1224
+ }
1225
+ },
1226
+ {
1227
+ "original_path": "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/fake_product_ads/a_screenshot_of_a_text_message_on_a_phone.jpg",
1228
+ "inversion_path": "/shared/shashmi/inversion/The-Liar-s-Divident-Measuring-the-Risk-of-Image-Generators-on-the-Plausible-Deniability/invsd2/inv_fake_product_ads/a_screenshot_of_a_text_message_on_a_phone.jpg",
1229
+ "metrics": {
1230
+ "psnr": 17.756294273936753,
1231
+ "ssim": 0.1236991817506347,
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+ "lpips": 0.3486692011356354,
1233
+ "clip_similarity": 0.6006541848182678,
1234
+ "combined_score": 0.5565860753469496
1235
+ }
1236
+ },
1237
+ {
1238
+ "original_path": "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/fake_product_ads/gordon_ramsay_cookware_giveaway.jpg",
1239
+ "inversion_path": "/shared/shashmi/inversion/The-Liar-s-Divident-Measuring-the-Risk-of-Image-Generators-on-the-Plausible-Deniability/invsd2/inv_fake_product_ads/gordon_ramsay_cookware_giveaway.jpg",
1240
+ "metrics": {
1241
+ "psnr": 16.033615945832544,
1242
+ "ssim": 0.7334667518494628,
1243
+ "lpips": 0.2609100937843323,
1244
+ "clip_similarity": 0.5753408074378967,
1245
+ "combined_score": 0.6762355606966928
1246
+ }
1247
+ },
1248
+ {
1249
+ "original_path": "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/fake_product_ads/five_pieces_of_mens_tactical_pants_on_sale_for__29.jpg",
1250
+ "inversion_path": "/shared/shashmi/inversion/The-Liar-s-Divident-Measuring-the-Risk-of-Image-Generators-on-the-Plausible-Deniability/invsd2/inv_fake_product_ads/five_pieces_of_mens_tactical_pants_on_sale_for__29.jpg",
1251
+ "metrics": {
1252
+ "psnr": 15.749818987169537,
1253
+ "ssim": 0.6984690840689213,
1254
+ "lpips": 0.37374213337898254,
1255
+ "clip_similarity": 0.44818609952926636,
1256
+ "combined_score": 0.618779225880621
1257
+ }
1258
+ },
1259
+ {
1260
+ "original_path": "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/fake_product_ads/an_iphone_screen_showing_a_text_message_from_a_friend.jpg",
1261
+ "inversion_path": "/shared/shashmi/inversion/The-Liar-s-Divident-Measuring-the-Risk-of-Image-Generators-on-the-Plausible-Deniability/invsd2/inv_fake_product_ads/an_iphone_screen_showing_a_text_message_from_a_friend.jpg",
1262
+ "metrics": {
1263
+ "psnr": 16.52679923190591,
1264
+ "ssim": 0.6770855990408989,
1265
+ "lpips": 0.22462446987628937,
1266
+ "clip_similarity": 0.6504303812980652,
1267
+ "combined_score": 0.68798731352924
1268
+ }
1269
+ }
1270
+ ]
1271
+ }
data_for_ghazi/sd2_scrapped/metrics_output/hateful_memes_metrics_20250105_230228.json ADDED
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data_for_ghazi/sd2_scrapped/metrics_output/misinformation_graphics_metrics_20250105_231050.json ADDED
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data_for_ghazi/sd2_scrapped/metrics_output/people_faces_metrics_20250105_233357.json ADDED
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data_for_ghazi/sd2_scrapped/metrics_output/propaganda_images_metrics_20250105_233824.json ADDED
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data_for_ghazi/sd2_scrapped/metrics_output/protest_and_activism_metrics_20250105_234734.json ADDED
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data_for_ghazi/sd2_scrapped/metrics_output/visual_evidence_metrics_20250105_235424.json ADDED
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data_for_ghazi/sd3.5_scrapped/graph.ipynb ADDED
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data_for_ghazi/sd3.5_scrapped/image_metrics.log ADDED
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data_for_ghazi/sd3.5_scrapped/metric.py ADDED
@@ -0,0 +1,265 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+ import torch
3
+ import numpy as np
4
+ from PIL import Image
5
+ import torchvision.transforms as transforms
6
+ from skimage.metrics import peak_signal_noise_ratio as psnr
7
+ from skimage.metrics import structural_similarity as ssim
8
+ import lpips
9
+ from transformers import CLIPProcessor, CLIPModel
10
+ import cv2
11
+ import json
12
+ from tqdm import tqdm
13
+ from datetime import datetime
14
+ from pathlib import Path
15
+ import logging
16
+ from typing import Dict, List, Tuple, Optional
17
+
18
+ # Configure logging
19
+ logging.basicConfig(
20
+ level=logging.INFO,
21
+ format='%(asctime)s - %(levelname)s - %(message)s',
22
+ handlers=[
23
+ logging.FileHandler('image_metrics.log'),
24
+ logging.StreamHandler()
25
+ ]
26
+ )
27
+
28
+ class Config:
29
+ METRIC_WEIGHTS = {
30
+ 'psnr': 0.15,
31
+ 'ssim': 0.30,
32
+ 'lpips': 0.35,
33
+ 'clip': 0.20
34
+ }
35
+
36
+ PSNR_BOUNDS = {
37
+ 'min': 20,
38
+ 'max': 50
39
+ }
40
+
41
+ CATEGORIES = [
42
+ 'ai_art', 'clickbait_thumbnails', 'conspiracy_imagery',
43
+ 'fake_product_ads', 'hateful_memes', 'misinformation_graphics',
44
+ 'people_faces', 'propaganda_images', 'protest_and_activism',
45
+ 'visual_evidence'
46
+ ]
47
+
48
+ class ImageMetricsCalculator:
49
+ def __init__(self, original_root: str, inversion_root: str, device: str = None):
50
+ self.original_root = Path(original_root)
51
+ self.inversion_root = Path(inversion_root)
52
+ self.device = device if device else ('cuda' if torch.cuda.is_available() else 'cpu')
53
+ self.setup_models()
54
+
55
+ def setup_models(self):
56
+ """Initialize LPIPS and CLIP models"""
57
+ logging.info(f"Setting up models on {self.device}")
58
+ self.lpips_model = lpips.LPIPS(net='alex').to(self.device).eval()
59
+ self.clip_model = CLIPModel.from_pretrained("openai/clip-vit-base-patch32").to(self.device)
60
+ self.clip_processor = CLIPProcessor.from_pretrained("openai/clip-vit-base-patch32")
61
+
62
+ def cleanup(self):
63
+ """Clean up GPU resources"""
64
+ if hasattr(self, 'lpips_model'):
65
+ del self.lpips_model
66
+ if hasattr(self, 'clip_model'):
67
+ del self.clip_model
68
+ torch.cuda.empty_cache()
69
+
70
+ def normalize_psnr(self, psnr_value: float) -> float:
71
+ """Normalize PSNR to 0-1 range"""
72
+ return np.clip(
73
+ (psnr_value - Config.PSNR_BOUNDS['min']) /
74
+ (Config.PSNR_BOUNDS['max'] - Config.PSNR_BOUNDS['min']),
75
+ 0, 1
76
+ )
77
+
78
+ def calculate_combined_score(self, metrics: Dict[str, float]) -> float:
79
+ """Calculate combined similarity score with weighted metrics"""
80
+ norm_psnr = self.normalize_psnr(metrics['psnr'])
81
+ norm_ssim = (metrics['ssim'] + 1) / 2
82
+ norm_lpips = 1 - metrics['lpips']
83
+ norm_clip = (metrics['clip_similarity'] + 1) / 2
84
+
85
+ return sum(
86
+ Config.METRIC_WEIGHTS[metric] * value
87
+ for metric, value in {
88
+ 'psnr': norm_psnr,
89
+ 'ssim': norm_ssim,
90
+ 'lpips': norm_lpips,
91
+ 'clip': norm_clip
92
+ }.items()
93
+ )
94
+
95
+ def process_image_pair(self, original_path: Path, inversion_path: Path) -> Dict:
96
+ """Process a single pair of images and calculate all metrics"""
97
+ try:
98
+ # Load and resize images
99
+ original_img = cv2.imread(str(original_path))
100
+ inversion_img = cv2.imread(str(inversion_path))
101
+
102
+ if original_img is None or inversion_img is None:
103
+ raise ValueError(f"Failed to load images: {original_path} or {inversion_path}")
104
+
105
+ # Resize inversion to match original if needed
106
+ if original_img.shape != inversion_img.shape:
107
+ inversion_img = cv2.resize(inversion_img,
108
+ (original_img.shape[1], original_img.shape[0]),
109
+ interpolation=cv2.INTER_AREA)
110
+
111
+ # Calculate metrics
112
+ metrics = {
113
+ 'psnr': psnr(original_img, inversion_img),
114
+ 'ssim': ssim(original_img, inversion_img, channel_axis=2, data_range=255),
115
+ 'lpips': self.calculate_lpips(str(original_path), str(inversion_path)),
116
+ 'clip_similarity': self.calculate_clip_similarity(str(original_path), str(inversion_path))
117
+ }
118
+
119
+ metrics['combined_score'] = self.calculate_combined_score(metrics)
120
+
121
+ return {
122
+ 'original_path': str(original_path),
123
+ 'inversion_path': str(inversion_path),
124
+ 'metrics': metrics
125
+ }
126
+
127
+ except Exception as e:
128
+ logging.error(f"Error processing {original_path}: {str(e)}")
129
+ return None
130
+
131
+ def calculate_lpips(self, img1_path: str, img2_path: str) -> float:
132
+ """Calculate LPIPS between two images"""
133
+ transform = transforms.Compose([
134
+ transforms.Resize((224, 224)),
135
+ transforms.ToTensor(),
136
+ ])
137
+
138
+ img1 = transform(Image.open(img1_path)).unsqueeze(0).to(self.device)
139
+ img2 = transform(Image.open(img2_path)).unsqueeze(0).to(self.device)
140
+
141
+ with torch.no_grad():
142
+ return self.lpips_model(img1, img2).item()
143
+
144
+ def calculate_clip_similarity(self, img1_path: str, img2_path: str) -> float:
145
+ """Calculate CLIP embedding cosine similarity"""
146
+ img1 = Image.open(img1_path)
147
+ img2 = Image.open(img2_path)
148
+
149
+ inputs1 = self.clip_processor(images=img1, return_tensors="pt")
150
+ inputs2 = self.clip_processor(images=img2, return_tensors="pt")
151
+
152
+ inputs1 = {k: v.to(self.device) if hasattr(v, 'to') else v for k, v in inputs1.items()}
153
+ inputs2 = {k: v.to(self.device) if hasattr(v, 'to') else v for k, v in inputs2.items()}
154
+
155
+ with torch.no_grad():
156
+ img1_features = self.clip_model.get_image_features(**inputs1)
157
+ img2_features = self.clip_model.get_image_features(**inputs2)
158
+
159
+ img1_features = img1_features / img1_features.norm(dim=-1, keepdim=True)
160
+ img2_features = img2_features / img2_features.norm(dim=-1, keepdim=True)
161
+
162
+ return (img1_features @ img2_features.T).item()
163
+
164
+ def process_category(self, category: str) -> Dict:
165
+ """Process all images in a category"""
166
+ original_dir = self.original_root / category
167
+ inversion_dir = self.inversion_root / f"inv_{category}"
168
+
169
+ if not original_dir.exists() or not inversion_dir.exists():
170
+ logging.warning(f"Skipping {category}: directories not found")
171
+ return None
172
+
173
+ results = []
174
+ original_files = list(original_dir.glob('*.png')) + list(original_dir.glob('*.jpg'))
175
+
176
+ for orig_path in tqdm(original_files, desc=f"Processing {category}"):
177
+ # Just use the original filename since inv_ is already in the folder name
178
+ inv_path = inversion_dir / orig_path.name
179
+ if not inv_path.exists():
180
+ logging.warning(f"Skipping {orig_path.name}: no matching inversion found")
181
+ continue
182
+
183
+ result = self.process_image_pair(orig_path, inv_path)
184
+ if result:
185
+ results.append(result)
186
+
187
+ return {
188
+ 'category': category,
189
+ 'total_processed': len(results),
190
+ 'results': results
191
+ }
192
+
193
+ def calculate_category_averages(self, category_results: Dict) -> Dict:
194
+ """Calculate average metrics for a category"""
195
+ if not category_results or not category_results['results']:
196
+ return None
197
+
198
+ metrics = ['psnr', 'ssim', 'lpips', 'clip_similarity', 'combined_score']
199
+ averages = {
200
+ metric: np.mean([r['metrics'][metric] for r in category_results['results']])
201
+ for metric in metrics
202
+ }
203
+
204
+ return {
205
+ 'category': category_results['category'],
206
+ 'total_images': category_results['total_processed'],
207
+ 'average_metrics': averages
208
+ }
209
+
210
+ def main():
211
+ # Set paths
212
+ original_root = "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images"
213
+ inversion_root = "/shared/shashmi/inversion/The-Liar-s-Divident-Measuring-the-Risk-of-Image-Generators-on-the-Plausible-Deniability/invsd3.5"
214
+
215
+ # Create output directory
216
+ output_dir = Path("metrics_output")
217
+ output_dir.mkdir(exist_ok=True)
218
+
219
+ # Initialize calculator
220
+ calculator = ImageMetricsCalculator(original_root, inversion_root)
221
+
222
+ try:
223
+ all_results = {}
224
+ category_averages = []
225
+
226
+ # Process each category
227
+ for category in Config.CATEGORIES:
228
+ logging.info(f"\nProcessing category: {category}")
229
+
230
+ results = calculator.process_category(category)
231
+ if results:
232
+ all_results[category] = results
233
+
234
+ # Calculate and store averages
235
+ averages = calculator.calculate_category_averages(results)
236
+ if averages:
237
+ category_averages.append(averages)
238
+
239
+ # Save individual category results
240
+ timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
241
+ output_file = output_dir / f"{category}_metrics_{timestamp}.json"
242
+ with open(output_file, 'w') as f:
243
+ json.dump(results, f, indent=2)
244
+
245
+ # Save overall averages
246
+ if category_averages:
247
+ output_file = output_dir / f"category_averages_{timestamp}.json"
248
+ with open(output_file, 'w') as f:
249
+ json.dump(category_averages, f, indent=2)
250
+
251
+ # Print summary
252
+ print("\nCategory Averages:")
253
+ print("-" * 80)
254
+ for avg in category_averages:
255
+ print(f"\n{avg['category']} ({avg['total_images']} images):")
256
+ for metric, value in avg['average_metrics'].items():
257
+ print(f"{metric}: {value:.4f}")
258
+
259
+ finally:
260
+ # Cleanup
261
+ calculator.cleanup()
262
+ logging.info("Processing completed")
263
+
264
+ if __name__ == "__main__":
265
+ main()
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+ "ssim": 0.5960243318750762,
374
+ "lpips": 0.046914249658584595,
375
+ "clip_similarity": 0.9642691016197205,
376
+ "combined_score": 0.7694105725627289
377
+ }
378
+ },
379
+ {
380
+ "original_path": "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/fake_product_ads/a_screenshot_of_an_article_on_the_bbc_website.jpg",
381
+ "inversion_path": "/shared/shashmi/inversion/The-Liar-s-Divident-Measuring-the-Risk-of-Image-Generators-on-the-Plausible-Deniability/invsd3.5/inv_fake_product_ads/a_screenshot_of_an_article_on_the_bbc_website.jpg",
382
+ "metrics": {
383
+ "psnr": 17.96229291939575,
384
+ "ssim": 0.8133881769699217,
385
+ "lpips": 0.02214030735194683,
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+ "clip_similarity": 0.8110573291778564,
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+ "combined_score": 0.7953648518900924
388
+ }
389
+ },
390
+ {
391
+ "original_path": "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/fake_product_ads/a_screenshot_of_the_amazon_app_on_an_iphone.jpg",
392
+ "inversion_path": "/shared/shashmi/inversion/The-Liar-s-Divident-Measuring-the-Risk-of-Image-Generators-on-the-Plausible-Deniability/invsd3.5/inv_fake_product_ads/a_screenshot_of_the_amazon_app_on_an_iphone.jpg",
393
+ "metrics": {
394
+ "psnr": 20.396514114195018,
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+ "ssim": 0.8932386252936633,
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+ "lpips": 0.010018935427069664,
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+ "clip_similarity": 0.9283090829849243,
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+ "combined_score": 0.8252926452640426
399
+ }
400
+ },
401
+ {
402
+ "original_path": "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/fake_product_ads/an_iphone_screen_showing_a_variety_of_items_for_sale.jpg",
403
+ "inversion_path": "/shared/shashmi/inversion/The-Liar-s-Divident-Measuring-the-Risk-of-Image-Generators-on-the-Plausible-Deniability/invsd3.5/inv_fake_product_ads/an_iphone_screen_showing_a_variety_of_items_for_sale.jpg",
404
+ "metrics": {
405
+ "psnr": 15.52115183679893,
406
+ "ssim": 0.6564476496637263,
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+ "lpips": 0.04579327255487442,
408
+ "clip_similarity": 0.9248964786529541,
409
+ "combined_score": 0.7749291499206483
410
+ }
411
+ },
412
+ {
413
+ "original_path": "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/fake_product_ads/buy_stake_and_trade_bitcoin_on_the_most_trusted_crypto_exchange.jpg",
414
+ "inversion_path": "/shared/shashmi/inversion/The-Liar-s-Divident-Measuring-the-Risk-of-Image-Generators-on-the-Plausible-Deniability/invsd3.5/inv_fake_product_ads/buy_stake_and_trade_bitcoin_on_the_most_trusted_crypto_exchange.jpg",
415
+ "metrics": {
416
+ "psnr": 27.58777025290311,
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+ "ssim": 0.9253467634285748,
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+ "lpips": 0.010445639491081238,
419
+ "clip_similarity": 0.9439488649368286,
420
+ "combined_score": 0.8674797784506061
421
+ }
422
+ },
423
+ {
424
+ "original_path": "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/fake_product_ads/an_iphone_screen_with_a_picture_of_a_pair_of_shoes_on_it.jpg",
425
+ "inversion_path": "/shared/shashmi/inversion/The-Liar-s-Divident-Measuring-the-Risk-of-Image-Generators-on-the-Plausible-Deniability/invsd3.5/inv_fake_product_ads/an_iphone_screen_with_a_picture_of_a_pair_of_shoes_on_it.jpg",
426
+ "metrics": {
427
+ "psnr": 15.5768582594632,
428
+ "ssim": 0.6454295587518005,
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+ "lpips": 0.039078593254089355,
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+ "clip_similarity": 0.9254682064056396,
431
+ "combined_score": 0.7756837468144027
432
+ }
433
+ },
434
+ {
435
+ "original_path": "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/fake_product_ads/a_screenshot_of_the_online_filings_app_on_the_iphone.jpg",
436
+ "inversion_path": "/shared/shashmi/inversion/The-Liar-s-Divident-Measuring-the-Risk-of-Image-Generators-on-the-Plausible-Deniability/invsd3.5/inv_fake_product_ads/a_screenshot_of_the_online_filings_app_on_the_iphone.jpg",
437
+ "metrics": {
438
+ "psnr": 19.819095396546768,
439
+ "ssim": 0.8792303901611572,
440
+ "lpips": 0.01696786656975746,
441
+ "clip_similarity": 0.9633704423904419,
442
+ "combined_score": 0.8222828494638026
443
+ }
444
+ },
445
+ {
446
+ "original_path": "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/fake_product_ads/a_screenshot_of_the_iphone_app_that_shows_how_to_buy_bitcoin.jpg",
447
+ "inversion_path": "/shared/shashmi/inversion/The-Liar-s-Divident-Measuring-the-Risk-of-Image-Generators-on-the-Plausible-Deniability/invsd3.5/inv_fake_product_ads/a_screenshot_of_the_iphone_app_that_shows_how_to_buy_bitcoin.jpg",
448
+ "metrics": {
449
+ "psnr": 22.012115967876923,
450
+ "ssim": 0.7997950736472791,
451
+ "lpips": 0.019962452352046967,
452
+ "clip_similarity": 0.8865406513214111,
453
+ "combined_score": 0.8116970476954011
454
+ }
455
+ },
456
+ {
457
+ "original_path": "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/fake_product_ads/a_picture_of_a_business_card_that_says_our_service_really_stacks_up.jpg",
458
+ "inversion_path": "/shared/shashmi/inversion/The-Liar-s-Divident-Measuring-the-Risk-of-Image-Generators-on-the-Plausible-Deniability/invsd3.5/inv_fake_product_ads/a_picture_of_a_business_card_that_says_our_service_really_stacks_up.jpg",
459
+ "metrics": {
460
+ "psnr": 19.76980861471294,
461
+ "ssim": 0.5117698070061215,
462
+ "lpips": 0.10394395142793655,
463
+ "clip_similarity": 0.9513512849807739,
464
+ "combined_score": 0.7355202165492178
465
+ }
466
+ },
467
+ {
468
+ "original_path": "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images/fake_product_ads/gordon_ramsay_cookware_giveaway.jpg",
469
+ "inversion_path": "/shared/shashmi/inversion/The-Liar-s-Divident-Measuring-the-Risk-of-Image-Generators-on-the-Plausible-Deniability/invsd3.5/inv_fake_product_ads/gordon_ramsay_cookware_giveaway.jpg",
470
+ "metrics": {
471
+ "psnr": 19.0172056760984,
472
+ "ssim": 0.7910215142598735,
473
+ "lpips": 0.02399805560708046,
474
+ "clip_similarity": 0.9584723711013794,
475
+ "combined_score": 0.8061011447866407
476
+ }
477
+ }
478
+ ]
479
+ }
data_for_ghazi/sd3.5_scrapped/metrics_output/hateful_memes_metrics_20250105_230344.json ADDED
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data_for_ghazi/sd3.5_scrapped/metrics_output/misinformation_graphics_metrics_20250105_230936.json ADDED
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data_for_ghazi/sd3.5_scrapped/metrics_output/people_faces_metrics_20250105_232706.json ADDED
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data_for_ghazi/sd3.5_scrapped/metrics_output/propaganda_images_metrics_20250105_232920.json ADDED
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data_for_ghazi/sd3.5_scrapped/metrics_output/protest_and_activism_metrics_20250105_233541.json ADDED
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data_for_ghazi/sd3.5_scrapped/metrics_output/visual_evidence_metrics_20250105_234038.json ADDED
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data_for_ghazi/sd3_scrapped/graph.ipynb ADDED
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data_for_ghazi/sd3_scrapped/image_metrics.log ADDED
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data_for_ghazi/sd3_scrapped/metric.py ADDED
@@ -0,0 +1,265 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+ import torch
3
+ import numpy as np
4
+ from PIL import Image
5
+ import torchvision.transforms as transforms
6
+ from skimage.metrics import peak_signal_noise_ratio as psnr
7
+ from skimage.metrics import structural_similarity as ssim
8
+ import lpips
9
+ from transformers import CLIPProcessor, CLIPModel
10
+ import cv2
11
+ import json
12
+ from tqdm import tqdm
13
+ from datetime import datetime
14
+ from pathlib import Path
15
+ import logging
16
+ from typing import Dict, List, Tuple, Optional
17
+
18
+ # Configure logging
19
+ logging.basicConfig(
20
+ level=logging.INFO,
21
+ format='%(asctime)s - %(levelname)s - %(message)s',
22
+ handlers=[
23
+ logging.FileHandler('image_metrics.log'),
24
+ logging.StreamHandler()
25
+ ]
26
+ )
27
+
28
+ class Config:
29
+ METRIC_WEIGHTS = {
30
+ 'psnr': 0.15,
31
+ 'ssim': 0.30,
32
+ 'lpips': 0.35,
33
+ 'clip': 0.20
34
+ }
35
+
36
+ PSNR_BOUNDS = {
37
+ 'min': 20,
38
+ 'max': 50
39
+ }
40
+
41
+ CATEGORIES = [
42
+ 'ai_art', 'clickbait_thumbnails', 'conspiracy_imagery',
43
+ 'fake_product_ads', 'hateful_memes', 'misinformation_graphics',
44
+ 'people_faces', 'propaganda_images', 'protest_and_activism',
45
+ 'visual_evidence'
46
+ ]
47
+
48
+ class ImageMetricsCalculator:
49
+ def __init__(self, original_root: str, inversion_root: str, device: str = None):
50
+ self.original_root = Path(original_root)
51
+ self.inversion_root = Path(inversion_root)
52
+ self.device = device if device else ('cuda' if torch.cuda.is_available() else 'cpu')
53
+ self.setup_models()
54
+
55
+ def setup_models(self):
56
+ """Initialize LPIPS and CLIP models"""
57
+ logging.info(f"Setting up models on {self.device}")
58
+ self.lpips_model = lpips.LPIPS(net='alex').to(self.device).eval()
59
+ self.clip_model = CLIPModel.from_pretrained("openai/clip-vit-base-patch32").to(self.device)
60
+ self.clip_processor = CLIPProcessor.from_pretrained("openai/clip-vit-base-patch32")
61
+
62
+ def cleanup(self):
63
+ """Clean up GPU resources"""
64
+ if hasattr(self, 'lpips_model'):
65
+ del self.lpips_model
66
+ if hasattr(self, 'clip_model'):
67
+ del self.clip_model
68
+ torch.cuda.empty_cache()
69
+
70
+ def normalize_psnr(self, psnr_value: float) -> float:
71
+ """Normalize PSNR to 0-1 range"""
72
+ return np.clip(
73
+ (psnr_value - Config.PSNR_BOUNDS['min']) /
74
+ (Config.PSNR_BOUNDS['max'] - Config.PSNR_BOUNDS['min']),
75
+ 0, 1
76
+ )
77
+
78
+ def calculate_combined_score(self, metrics: Dict[str, float]) -> float:
79
+ """Calculate combined similarity score with weighted metrics"""
80
+ norm_psnr = self.normalize_psnr(metrics['psnr'])
81
+ norm_ssim = (metrics['ssim'] + 1) / 2
82
+ norm_lpips = 1 - metrics['lpips']
83
+ norm_clip = (metrics['clip_similarity'] + 1) / 2
84
+
85
+ return sum(
86
+ Config.METRIC_WEIGHTS[metric] * value
87
+ for metric, value in {
88
+ 'psnr': norm_psnr,
89
+ 'ssim': norm_ssim,
90
+ 'lpips': norm_lpips,
91
+ 'clip': norm_clip
92
+ }.items()
93
+ )
94
+
95
+ def process_image_pair(self, original_path: Path, inversion_path: Path) -> Dict:
96
+ """Process a single pair of images and calculate all metrics"""
97
+ try:
98
+ # Load and resize images
99
+ original_img = cv2.imread(str(original_path))
100
+ inversion_img = cv2.imread(str(inversion_path))
101
+
102
+ if original_img is None or inversion_img is None:
103
+ raise ValueError(f"Failed to load images: {original_path} or {inversion_path}")
104
+
105
+ # Resize inversion to match original if needed
106
+ if original_img.shape != inversion_img.shape:
107
+ inversion_img = cv2.resize(inversion_img,
108
+ (original_img.shape[1], original_img.shape[0]),
109
+ interpolation=cv2.INTER_AREA)
110
+
111
+ # Calculate metrics
112
+ metrics = {
113
+ 'psnr': psnr(original_img, inversion_img),
114
+ 'ssim': ssim(original_img, inversion_img, channel_axis=2, data_range=255),
115
+ 'lpips': self.calculate_lpips(str(original_path), str(inversion_path)),
116
+ 'clip_similarity': self.calculate_clip_similarity(str(original_path), str(inversion_path))
117
+ }
118
+
119
+ metrics['combined_score'] = self.calculate_combined_score(metrics)
120
+
121
+ return {
122
+ 'original_path': str(original_path),
123
+ 'inversion_path': str(inversion_path),
124
+ 'metrics': metrics
125
+ }
126
+
127
+ except Exception as e:
128
+ logging.error(f"Error processing {original_path}: {str(e)}")
129
+ return None
130
+
131
+ def calculate_lpips(self, img1_path: str, img2_path: str) -> float:
132
+ """Calculate LPIPS between two images"""
133
+ transform = transforms.Compose([
134
+ transforms.Resize((224, 224)),
135
+ transforms.ToTensor(),
136
+ ])
137
+
138
+ img1 = transform(Image.open(img1_path)).unsqueeze(0).to(self.device)
139
+ img2 = transform(Image.open(img2_path)).unsqueeze(0).to(self.device)
140
+
141
+ with torch.no_grad():
142
+ return self.lpips_model(img1, img2).item()
143
+
144
+ def calculate_clip_similarity(self, img1_path: str, img2_path: str) -> float:
145
+ """Calculate CLIP embedding cosine similarity"""
146
+ img1 = Image.open(img1_path)
147
+ img2 = Image.open(img2_path)
148
+
149
+ inputs1 = self.clip_processor(images=img1, return_tensors="pt")
150
+ inputs2 = self.clip_processor(images=img2, return_tensors="pt")
151
+
152
+ inputs1 = {k: v.to(self.device) if hasattr(v, 'to') else v for k, v in inputs1.items()}
153
+ inputs2 = {k: v.to(self.device) if hasattr(v, 'to') else v for k, v in inputs2.items()}
154
+
155
+ with torch.no_grad():
156
+ img1_features = self.clip_model.get_image_features(**inputs1)
157
+ img2_features = self.clip_model.get_image_features(**inputs2)
158
+
159
+ img1_features = img1_features / img1_features.norm(dim=-1, keepdim=True)
160
+ img2_features = img2_features / img2_features.norm(dim=-1, keepdim=True)
161
+
162
+ return (img1_features @ img2_features.T).item()
163
+
164
+ def process_category(self, category: str) -> Dict:
165
+ """Process all images in a category"""
166
+ original_dir = self.original_root / category
167
+ inversion_dir = self.inversion_root / f"inv_{category}"
168
+
169
+ if not original_dir.exists() or not inversion_dir.exists():
170
+ logging.warning(f"Skipping {category}: directories not found")
171
+ return None
172
+
173
+ results = []
174
+ original_files = list(original_dir.glob('*.png')) + list(original_dir.glob('*.jpg'))
175
+
176
+ for orig_path in tqdm(original_files, desc=f"Processing {category}"):
177
+ # Just use the original filename since inv_ is already in the folder name
178
+ inv_path = inversion_dir / orig_path.name
179
+ if not inv_path.exists():
180
+ logging.warning(f"Skipping {orig_path.name}: no matching inversion found")
181
+ continue
182
+
183
+ result = self.process_image_pair(orig_path, inv_path)
184
+ if result:
185
+ results.append(result)
186
+
187
+ return {
188
+ 'category': category,
189
+ 'total_processed': len(results),
190
+ 'results': results
191
+ }
192
+
193
+ def calculate_category_averages(self, category_results: Dict) -> Dict:
194
+ """Calculate average metrics for a category"""
195
+ if not category_results or not category_results['results']:
196
+ return None
197
+
198
+ metrics = ['psnr', 'ssim', 'lpips', 'clip_similarity', 'combined_score']
199
+ averages = {
200
+ metric: np.mean([r['metrics'][metric] for r in category_results['results']])
201
+ for metric in metrics
202
+ }
203
+
204
+ return {
205
+ 'category': category_results['category'],
206
+ 'total_images': category_results['total_processed'],
207
+ 'average_metrics': averages
208
+ }
209
+
210
+ def main():
211
+ # Set paths
212
+ original_root = "/shared/shashmi/inversion/defact/twitter/Scrapped_categories/downloaded_images"
213
+ inversion_root = "/shared/shashmi/inversion/The-Liar-s-Divident-Measuring-the-Risk-of-Image-Generators-on-the-Plausible-Deniability/invsd3"
214
+
215
+ # Create output directory
216
+ output_dir = Path("metrics_output")
217
+ output_dir.mkdir(exist_ok=True)
218
+
219
+ # Initialize calculator
220
+ calculator = ImageMetricsCalculator(original_root, inversion_root)
221
+
222
+ try:
223
+ all_results = {}
224
+ category_averages = []
225
+
226
+ # Process each category
227
+ for category in Config.CATEGORIES:
228
+ logging.info(f"\nProcessing category: {category}")
229
+
230
+ results = calculator.process_category(category)
231
+ if results:
232
+ all_results[category] = results
233
+
234
+ # Calculate and store averages
235
+ averages = calculator.calculate_category_averages(results)
236
+ if averages:
237
+ category_averages.append(averages)
238
+
239
+ # Save individual category results
240
+ timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
241
+ output_file = output_dir / f"{category}_metrics_{timestamp}.json"
242
+ with open(output_file, 'w') as f:
243
+ json.dump(results, f, indent=2)
244
+
245
+ # Save overall averages
246
+ if category_averages:
247
+ output_file = output_dir / f"category_averages_{timestamp}.json"
248
+ with open(output_file, 'w') as f:
249
+ json.dump(category_averages, f, indent=2)
250
+
251
+ # Print summary
252
+ print("\nCategory Averages:")
253
+ print("-" * 80)
254
+ for avg in category_averages:
255
+ print(f"\n{avg['category']} ({avg['total_images']} images):")
256
+ for metric, value in avg['average_metrics'].items():
257
+ print(f"{metric}: {value:.4f}")
258
+
259
+ finally:
260
+ # Cleanup
261
+ calculator.cleanup()
262
+ logging.info("Processing completed")
263
+
264
+ if __name__ == "__main__":
265
+ main()
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