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Recap-Human-Test
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Ligeng-Zhu commited on
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5c4d97a
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1 Parent(s): 1c8e856

update

Browse files
Files changed (4) hide show
  1. .gitignore +1 -0
  2. app.py +26 -10
  3. keys.txt +199 -0
  4. run.sh +0 -1
.gitignore CHANGED
@@ -9,6 +9,7 @@ slurm-logs/
9
  captioner/
10
  tmp/
11
  flagged/
 
12
 
13
  # Python
14
  __pycache__
 
9
  captioner/
10
  tmp/
11
  flagged/
12
+ *.sh
13
 
14
  # Python
15
  __pycache__
app.py CHANGED
@@ -22,9 +22,11 @@ def calc_file_md5(fpath, max_digits=6):
22
  file_hash.update(chunk)
23
  return file_hash.hexdigest()[:max_digits]
24
 
 
25
  def string_to_md5(string, max_digits=6):
26
  return hashlib.md5(string.encode()).hexdigest()[:max_digits]
27
 
 
28
  finfo = [
29
  json.load(open("f1/coyo25m-0-000000.tar.json")),
30
  json.load(open("f2/coyo25m-0-000000.tar.json")),
@@ -33,6 +35,12 @@ finfo = [
33
  ]
34
 
35
  keys = list(finfo[0].keys())
 
 
 
 
 
 
36
 
37
  api = HfApi()
38
 
@@ -80,7 +88,9 @@ def save_labeling(url, cap1, cap2, labeler, caption_source, rate1, rate2):
80
  labeler.replace(" ", "_").replace("@", "_").replace(".", "_").replace("/", "-")
81
  )
82
  # output_path = osp.join(f"flagged", url.replace("/", "--") + f".{lid}.json")
83
- output_path = osp.join(f"flagged", "md5-" + string_to_md5(url, max_digits=12) + f".{lid}.json")
 
 
84
  with open(output_path, "w") as fp:
85
  json.dump(output_info, fp, indent=2)
86
 
@@ -116,10 +126,11 @@ with gr.Blocks(
116
  title="VILA Video Benchmark",
117
  ) as demo:
118
  with gr.Row():
119
- with gr.Column(scale=4):
120
  image_input = gr.Image(
121
  label="Video Preview ",
122
- height=360,
 
123
  value="https://github.com/NVlabs/VILA/raw/main/demo_images/vila-logo.jpg",
124
  )
125
  with gr.Column(scale=1):
@@ -138,16 +149,22 @@ with gr.Blocks(
138
  with gr.Column(scale=3):
139
  gr.Markdown("## Step-2, randomly pick a image")
140
  with gr.Row():
141
- r1 = gr.Radio(choices=["Left better", "Tie", "Right better"], label="Detailness")
142
- r2 = gr.Radio(choices=["Left better", "Tie", "Right better"], label="Halluciation")
 
 
 
 
143
  with gr.Column():
144
- gr.Markdown("## Step-3, randomly pick a image")
145
- submit = gr.Button(value="submit",variant="stop")
146
 
147
  with gr.Row():
148
- gr.Markdown("### Warning: if you find two caption identical, please skip and evaluate next")
 
 
149
  with gr.Row():
150
-
151
  vcap1 = gr.Textbox(label="Anoymous Caption 1")
152
  vcap2 = gr.Textbox(label="Anoymous Caption 2")
153
  cap_res = gr.Textbox(label="Caption Saving Results")
@@ -158,7 +175,6 @@ with gr.Blocks(
158
  save_labeling,
159
  inputs=[logging, vcap1, vcap2, labeler, caption_source, r1, r2],
160
  outputs=[cap_res],
161
-
162
  )
163
 
164
  slider.change(
 
22
  file_hash.update(chunk)
23
  return file_hash.hexdigest()[:max_digits]
24
 
25
+
26
  def string_to_md5(string, max_digits=6):
27
  return hashlib.md5(string.encode()).hexdigest()[:max_digits]
28
 
29
+
30
  finfo = [
31
  json.load(open("f1/coyo25m-0-000000.tar.json")),
32
  json.load(open("f2/coyo25m-0-000000.tar.json")),
 
35
  ]
36
 
37
  keys = list(finfo[0].keys())
38
+ if not os.path.exists("keys.txt"):
39
+ with open("keys.txt", "w") as f:
40
+ f.write("\n".join(keys))
41
+ else:
42
+ with open("keys.txt", "r") as f:
43
+ keys = list(f.read().split("\n"))
44
 
45
  api = HfApi()
46
 
 
88
  labeler.replace(" ", "_").replace("@", "_").replace(".", "_").replace("/", "-")
89
  )
90
  # output_path = osp.join(f"flagged", url.replace("/", "--") + f".{lid}.json")
91
+ output_path = osp.join(
92
+ f"flagged", "md5-" + string_to_md5(url, max_digits=12) + f".{lid}.json"
93
+ )
94
  with open(output_path, "w") as fp:
95
  json.dump(output_info, fp, indent=2)
96
 
 
126
  title="VILA Video Benchmark",
127
  ) as demo:
128
  with gr.Row():
129
+ with gr.Column(scale=2):
130
  image_input = gr.Image(
131
  label="Video Preview ",
132
+ height=320,
133
+ # width=480,
134
  value="https://github.com/NVlabs/VILA/raw/main/demo_images/vila-logo.jpg",
135
  )
136
  with gr.Column(scale=1):
 
149
  with gr.Column(scale=3):
150
  gr.Markdown("## Step-2, randomly pick a image")
151
  with gr.Row():
152
+ r1 = gr.Radio(
153
+ choices=["Left better", "Tie", "Right better"], label="Detailness"
154
+ )
155
+ r2 = gr.Radio(
156
+ choices=["Left better", "Tie", "Right better"], label="Halluciation"
157
+ )
158
  with gr.Column():
159
+ gr.Markdown("## Step-3, submit the results")
160
+ submit = gr.Button(value="submit", variant="stop")
161
 
162
  with gr.Row():
163
+ gr.Markdown(
164
+ "### Warning: if you find two caption identical, please skip and evaluate next"
165
+ )
166
  with gr.Row():
167
+
168
  vcap1 = gr.Textbox(label="Anoymous Caption 1")
169
  vcap2 = gr.Textbox(label="Anoymous Caption 2")
170
  cap_res = gr.Textbox(label="Caption Saving Results")
 
175
  save_labeling,
176
  inputs=[logging, vcap1, vcap2, labeler, caption_source, r1, r2],
177
  outputs=[cap_res],
 
178
  )
179
 
180
  slider.change(
keys.txt ADDED
@@ -0,0 +1,199 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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run.sh CHANGED
@@ -5,5 +5,4 @@ mkdir -p ${ss}
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-
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8
  done