Spaces:
Sleeping
Sleeping
JingdongZhang commited on
Commit ·
18aa143
1
Parent(s): be5140b
Update app with gallery layout and add example images
Browse files- .gradio/certificate.pem +31 -0
- app.py +240 -178
- example_neg/neg_identity_changed.png +3 -0
- example_neg/neg_not_fully_removed.png +3 -0
- example_pos/pos_flare.png +3 -0
- example_pos/pos_haze.png +3 -0
- example_pos/pos_ref.png +3 -0
- example_pos/pos_shadow.png +3 -0
.gradio/certificate.pem
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
-----BEGIN CERTIFICATE-----
|
| 2 |
+
MIIFazCCA1OgAwIBAgIRAIIQz7DSQONZRGPgu2OCiwAwDQYJKoZIhvcNAQELBQAw
|
| 3 |
+
TzELMAkGA1UEBhMCVVMxKTAnBgNVBAoTIEludGVybmV0IFNlY3VyaXR5IFJlc2Vh
|
| 4 |
+
cmNoIEdyb3VwMRUwEwYDVQQDEwxJU1JHIFJvb3QgWDEwHhcNMTUwNjA0MTEwNDM4
|
| 5 |
+
WhcNMzUwNjA0MTEwNDM4WjBPMQswCQYDVQQGEwJVUzEpMCcGA1UEChMgSW50ZXJu
|
| 6 |
+
ZXQgU2VjdXJpdHkgUmVzZWFyY2ggR3JvdXAxFTATBgNVBAMTDElTUkcgUm9vdCBY
|
| 7 |
+
MTCCAiIwDQYJKoZIhvcNAQEBBQADggIPADCCAgoCggIBAK3oJHP0FDfzm54rVygc
|
| 8 |
+
h77ct984kIxuPOZXoHj3dcKi/vVqbvYATyjb3miGbESTtrFj/RQSa78f0uoxmyF+
|
| 9 |
+
0TM8ukj13Xnfs7j/EvEhmkvBioZxaUpmZmyPfjxwv60pIgbz5MDmgK7iS4+3mX6U
|
| 10 |
+
A5/TR5d8mUgjU+g4rk8Kb4Mu0UlXjIB0ttov0DiNewNwIRt18jA8+o+u3dpjq+sW
|
| 11 |
+
T8KOEUt+zwvo/7V3LvSye0rgTBIlDHCNAymg4VMk7BPZ7hm/ELNKjD+Jo2FR3qyH
|
| 12 |
+
B5T0Y3HsLuJvW5iB4YlcNHlsdu87kGJ55tukmi8mxdAQ4Q7e2RCOFvu396j3x+UC
|
| 13 |
+
B5iPNgiV5+I3lg02dZ77DnKxHZu8A/lJBdiB3QW0KtZB6awBdpUKD9jf1b0SHzUv
|
| 14 |
+
KBds0pjBqAlkd25HN7rOrFleaJ1/ctaJxQZBKT5ZPt0m9STJEadao0xAH0ahmbWn
|
| 15 |
+
OlFuhjuefXKnEgV4We0+UXgVCwOPjdAvBbI+e0ocS3MFEvzG6uBQE3xDk3SzynTn
|
| 16 |
+
jh8BCNAw1FtxNrQHusEwMFxIt4I7mKZ9YIqioymCzLq9gwQbooMDQaHWBfEbwrbw
|
| 17 |
+
qHyGO0aoSCqI3Haadr8faqU9GY/rOPNk3sgrDQoo//fb4hVC1CLQJ13hef4Y53CI
|
| 18 |
+
rU7m2Ys6xt0nUW7/vGT1M0NPAgMBAAGjQjBAMA4GA1UdDwEB/wQEAwIBBjAPBgNV
|
| 19 |
+
HRMBAf8EBTADAQH/MB0GA1UdDgQWBBR5tFnme7bl5AFzgAiIyBpY9umbbjANBgkq
|
| 20 |
+
hkiG9w0BAQsFAAOCAgEAVR9YqbyyqFDQDLHYGmkgJykIrGF1XIpu+ILlaS/V9lZL
|
| 21 |
+
ubhzEFnTIZd+50xx+7LSYK05qAvqFyFWhfFQDlnrzuBZ6brJFe+GnY+EgPbk6ZGQ
|
| 22 |
+
3BebYhtF8GaV0nxvwuo77x/Py9auJ/GpsMiu/X1+mvoiBOv/2X/qkSsisRcOj/KK
|
| 23 |
+
NFtY2PwByVS5uCbMiogziUwthDyC3+6WVwW6LLv3xLfHTjuCvjHIInNzktHCgKQ5
|
| 24 |
+
ORAzI4JMPJ+GslWYHb4phowim57iaztXOoJwTdwJx4nLCgdNbOhdjsnvzqvHu7Ur
|
| 25 |
+
TkXWStAmzOVyyghqpZXjFaH3pO3JLF+l+/+sKAIuvtd7u+Nxe5AW0wdeRlN8NwdC
|
| 26 |
+
jNPElpzVmbUq4JUagEiuTDkHzsxHpFKVK7q4+63SM1N95R1NbdWhscdCb+ZAJzVc
|
| 27 |
+
oyi3B43njTOQ5yOf+1CceWxG1bQVs5ZufpsMljq4Ui0/1lvh+wjChP4kqKOJ2qxq
|
| 28 |
+
4RgqsahDYVvTH9w7jXbyLeiNdd8XM2w9U/t7y0Ff/9yi0GE44Za4rF2LN9d11TPA
|
| 29 |
+
mRGunUHBcnWEvgJBQl9nJEiU0Zsnvgc/ubhPgXRR4Xq37Z0j4r7g1SgEEzwxA57d
|
| 30 |
+
emyPxgcYxn/eR44/KJ4EBs+lVDR3veyJm+kXQ99b21/+jh5Xos1AnX5iItreGCc=
|
| 31 |
+
-----END CERTIFICATE-----
|
app.py
CHANGED
|
@@ -7,19 +7,21 @@ from datetime import datetime
|
|
| 7 |
|
| 8 |
# ================= 配置区域 (Configuration) =================
|
| 9 |
|
| 10 |
-
#
|
| 11 |
IMAGE_DIR = "./user_study_pairs"
|
| 12 |
-
|
| 13 |
-
# 结果保存文件
|
| 14 |
RESULT_FILE = "user_study_results.csv"
|
| 15 |
|
| 16 |
-
#
|
|
|
|
|
|
|
|
|
|
|
|
|
| 17 |
SAMPLES_PER_TASK = 5
|
| 18 |
|
| 19 |
-
# 任务列表
|
| 20 |
TASKS = ['haze', 'shadow', 'reflections', 'lens_flares']
|
| 21 |
|
| 22 |
-
# 任务名称映射
|
| 23 |
TASK_NAMES = {
|
| 24 |
'haze': {'cn': '雾霾', 'en': 'Fog/Haze'},
|
| 25 |
'shadow': {'cn': '阴影', 'en': 'Shadows'},
|
|
@@ -30,10 +32,7 @@ TASK_NAMES = {
|
|
| 30 |
# ================= 核心逻辑 (Core Logic) =================
|
| 31 |
|
| 32 |
def get_random_batch():
|
| 33 |
-
"""
|
| 34 |
-
从文件夹中按任务分层随机抽取样本。
|
| 35 |
-
Sample images stratified by task.
|
| 36 |
-
"""
|
| 37 |
if not os.path.exists(IMAGE_DIR):
|
| 38 |
return []
|
| 39 |
|
|
@@ -41,30 +40,21 @@ def get_random_batch():
|
|
| 41 |
selected_batch = []
|
| 42 |
|
| 43 |
for task in TASKS:
|
| 44 |
-
# 筛选出属于当前 task 的图片
|
| 45 |
task_files = [f for f in all_files if f.startswith(task)]
|
| 46 |
-
|
| 47 |
-
# 随机抽取 N 张
|
| 48 |
if len(task_files) >= SAMPLES_PER_TASK:
|
| 49 |
chosen = random.sample(task_files, SAMPLES_PER_TASK)
|
| 50 |
else:
|
| 51 |
chosen = task_files
|
| 52 |
-
|
| 53 |
for f in chosen:
|
| 54 |
-
|
| 55 |
-
selected_batch.append((full_path, f, task))
|
| 56 |
|
| 57 |
random.shuffle(selected_batch)
|
| 58 |
return selected_batch
|
| 59 |
|
| 60 |
def save_result(user_id, results):
|
| 61 |
-
"""
|
| 62 |
-
保存结果到 CSV
|
| 63 |
-
Save results to CSV.
|
| 64 |
-
"""
|
| 65 |
data = []
|
| 66 |
timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
|
| 67 |
-
|
| 68 |
for img_name, task, is_success in results:
|
| 69 |
data.append({
|
| 70 |
"User_ID": user_id,
|
|
@@ -73,46 +63,35 @@ def save_result(user_id, results):
|
|
| 73 |
"Task": task,
|
| 74 |
"Is_Success": is_success
|
| 75 |
})
|
| 76 |
-
|
| 77 |
df = pd.DataFrame(data)
|
| 78 |
-
|
| 79 |
if not os.path.exists(RESULT_FILE):
|
| 80 |
df.to_csv(RESULT_FILE, index=False, encoding='utf_8_sig')
|
| 81 |
else:
|
| 82 |
df.to_csv(RESULT_FILE, mode='a', header=False, index=False, encoding='utf_8_sig')
|
| 83 |
|
| 84 |
def generate_label_html(task_key):
|
| 85 |
-
"""
|
| 86 |
-
根据任务生成图片上方的标签(两栏或三栏)
|
| 87 |
-
Generate the label above the image based on the task (2-column or 3-column).
|
| 88 |
-
"""
|
| 89 |
if task_key == 'shadow':
|
| 90 |
-
# Shadow 任务使用三栏布局 (3-column layout for Shadow)
|
| 91 |
return """
|
| 92 |
<div class='big-label-container'>
|
| 93 |
-
<div style='flex:1;'>Input (输入原图)</div>
|
| 94 |
-
<div style='flex:1; border-left: 1px solid #ccc; border-right: 1px solid #ccc;'>Masked Shadow (阴影蒙版)</div>
|
| 95 |
-
<div style='flex:1;'>Output (修复结果)</div>
|
| 96 |
</div>
|
| 97 |
"""
|
| 98 |
else:
|
| 99 |
-
# 其他任务使用两栏布局 (2-column layout for others)
|
| 100 |
return """
|
| 101 |
<div class='big-label-container'>
|
| 102 |
-
<div style='flex:1;'>Input (输入原图)</div>
|
| 103 |
-
<div style='flex:1; border-left: 1px solid #ccc;'>Output (修复结果)</div>
|
| 104 |
</div>
|
| 105 |
"""
|
| 106 |
|
| 107 |
def generate_question_text(task_key):
|
| 108 |
-
"""
|
| 109 |
-
生成严格中英双语的问题描述
|
| 110 |
-
Generate strictly bilingual question descriptions.
|
| 111 |
-
"""
|
| 112 |
name_cn = TASK_NAMES.get(task_key, {}).get('cn', '干扰效应')
|
| 113 |
name_en = TASK_NAMES.get(task_key, {}).get('en', 'Artifacts')
|
| 114 |
|
| 115 |
-
# 针对 Shadow 任务的专用 Prompt
|
| 116 |
if task_key == 'shadow':
|
| 117 |
q1_cn = "1. <b>蒙版红色区域 (Masked Red Region)</b> 内的阴影是否去除干净?"
|
| 118 |
q1_en = "1. Is the shadow within the <b>Masked Red Region</b> removed cleanly?"
|
|
@@ -120,118 +99,190 @@ def generate_question_text(task_key):
|
|
| 120 |
q1_cn = f"1. 画面中的 <b>“{name_cn}”</b> 是否去除干净?"
|
| 121 |
q1_en = f"1. Is the <b>“{name_en}”</b> removed cleanly?"
|
| 122 |
|
| 123 |
-
|
| 124 |
<div class='question-box'>
|
| 125 |
<h3>请仔细评估 / Please Evaluate:</h3>
|
| 126 |
-
<p>{q1_cn}<br>
|
| 127 |
-
|
| 128 |
-
<hr style='margin: 10px 0; opacity: 0.3;'>
|
| 129 |
<p>2. 原本的背景内容是否 <b>保持完整</b> 且未被篡改?<br>
|
| 130 |
<span class='en-text'>2. Is the original background <b>preserved</b> without distortion?</span></p>
|
| 131 |
</div>
|
| 132 |
"""
|
| 133 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 134 |
|
| 135 |
# ================= 界面构建 (UI Layout) =================
|
| 136 |
|
| 137 |
with gr.Blocks(title="Visual Perception Study") as demo:
|
| 138 |
-
|
| 139 |
-
|
| 140 |
-
|
| 141 |
-
<style>
|
| 142 |
-
footer {visibility: hidden}
|
| 143 |
-
.big-label-container {
|
| 144 |
-
display: flex;
|
| 145 |
-
text-align: center;
|
| 146 |
-
font-weight: bold;
|
| 147 |
-
font-size: 1.1em;
|
| 148 |
-
color: #2c3e50;
|
| 149 |
-
background-color: #e8f4f8;
|
| 150 |
-
padding: 8px 0;
|
| 151 |
-
border-radius: 8px;
|
| 152 |
-
margin-bottom: 5px;
|
| 153 |
-
width: 100%;
|
| 154 |
-
}
|
| 155 |
-
.question-box {
|
| 156 |
-
background-color: #f9f9f9;
|
| 157 |
-
padding: 15px;
|
| 158 |
-
border-radius: 10px;
|
| 159 |
-
border: 1px solid #ddd;
|
| 160 |
-
margin-top: 10px;
|
| 161 |
-
}
|
| 162 |
-
.en-text {
|
| 163 |
-
color: #666;
|
| 164 |
-
font-style: italic;
|
| 165 |
-
font-size: 0.95em;
|
| 166 |
-
}
|
| 167 |
-
</style>
|
| 168 |
-
""")
|
| 169 |
-
|
| 170 |
# --- 状态变量 ---
|
| 171 |
state_batch = gr.State([])
|
| 172 |
state_index = gr.State(0)
|
| 173 |
state_results = gr.State([])
|
| 174 |
state_user_id = gr.State("")
|
| 175 |
|
| 176 |
-
#
|
| 177 |
with gr.Group(visible=True) as welcome_page:
|
| 178 |
gr.Markdown("# 📋 图像修复主观质量评估 / Perceptual Image Restoration Study")
|
| 179 |
|
| 180 |
with gr.Row():
|
| 181 |
-
with gr.Column():
|
| 182 |
gr.Markdown("""
|
| 183 |
### 👋 欢迎 / Welcome
|
| 184 |
本研究旨在评估图像修复算法在真实场景下的表现。
|
| 185 |
-
This study evaluates
|
| 186 |
|
| 187 |
### 🎯 评估标准 / Criteria for Success
|
| 188 |
请判断修复结果是否 **同时满足** 以下两个条件:
|
| 189 |
Please judge whether the restoration meets **BOTH** criteria:
|
| 190 |
|
| 191 |
-
|
| 192 |
-
|
| 193 |
-
English: The visual artifacts (haze, shadow, reflections) are effectively removed.
|
| 194 |
-
|
| 195 |
-
* **2. 保真度 (Content Fidelity)**
|
| 196 |
-
中文: 原图的背景物体、结构、颜色未被扭曲或篡改。
|
| 197 |
-
English: The original background structures, colors, and details are preserved without distortion.
|
| 198 |
""")
|
| 199 |
|
|
|
|
|
|
|
| 200 |
gr.Markdown(f"""
|
| 201 |
-
---
|
| 202 |
* **题目数量 / Questions**: {len(TASKS) * SAMPLES_PER_TASK}
|
| 203 |
-
* **匿名性 / Anonymity**: 结果仅用于学术统计
|
| 204 |
""")
|
| 205 |
|
| 206 |
-
|
| 207 |
-
|
| 208 |
-
|
| 209 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 210 |
|
| 211 |
-
#
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 212 |
progress_md = gr.Markdown("### ⏳ Progress: 1 / 20")
|
| 213 |
|
| 214 |
-
# 图片显示区域
|
| 215 |
with gr.Column():
|
| 216 |
-
# 动态标签
|
| 217 |
label_html = gr.HTML(value="")
|
| 218 |
|
| 219 |
-
|
|
|
|
| 220 |
label="",
|
| 221 |
-
interactive=False,
|
| 222 |
show_label=False,
|
| 223 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 224 |
)
|
| 225 |
|
| 226 |
-
|
| 227 |
-
question_html = gr.HTML(value="Loading...")
|
| 228 |
|
| 229 |
-
# 按钮区域
|
| 230 |
with gr.Row():
|
| 231 |
-
btn_fail = gr.Button("❌ 失败 / Failure\n(
|
| 232 |
-
btn_pass = gr.Button("✅ 成功 / Success\n(
|
| 233 |
|
| 234 |
-
#
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 235 |
with gr.Group(visible=False) as end_page:
|
| 236 |
gr.Markdown("""
|
| 237 |
# 🎉 感谢您的参与! / Thank You!
|
|
@@ -240,136 +291,147 @@ with gr.Blocks(title="Visual Perception Study") as demo:
|
|
| 240 |
Your evaluation data has been submitted. You may close this page now.
|
| 241 |
""")
|
| 242 |
|
| 243 |
-
#
|
| 244 |
gr.Markdown("---")
|
| 245 |
-
# 默认折叠,不占地方,也不引人注目
|
| 246 |
with gr.Accordion("🔧 管理员��板 / Admin Panel", open=False):
|
| 247 |
with gr.Row():
|
| 248 |
-
|
| 249 |
-
|
| 250 |
-
|
| 251 |
-
check_btn = gr.Button("验证并获取数据 / Verify & Fetch Data")
|
| 252 |
-
|
| 253 |
-
# 下载组件 (初始状态设为不可见 visible=False,输对密码才显示)
|
| 254 |
-
file_download = gr.File(label="下载结果 / Download Results", interactive=False, visible=False)
|
| 255 |
-
|
| 256 |
-
# 状态提示
|
| 257 |
msg_box = gr.Markdown("")
|
| 258 |
|
| 259 |
def verify_and_download(password):
|
| 260 |
-
# 🔔 请在这里修改你的密码,比如把 "123456" 改成别的
|
| 261 |
MY_SECRET_PASSWORD = "010929"
|
| 262 |
-
|
| 263 |
if password == MY_SECRET_PASSWORD:
|
| 264 |
if os.path.exists(RESULT_FILE):
|
| 265 |
-
|
| 266 |
-
|
| 267 |
-
|
| 268 |
-
|
| 269 |
-
|
| 270 |
-
|
| 271 |
-
|
| 272 |
-
file_download: gr.update(visible=False),
|
| 273 |
-
msg_box: "⚠️ 暂无数据文件 (还没有人提交过结果)。"
|
| 274 |
-
}
|
| 275 |
-
else:
|
| 276 |
-
# 密码错误:隐藏文件,给出警告
|
| 277 |
-
return {
|
| 278 |
-
file_download: gr.update(visible=False),
|
| 279 |
-
msg_box: "❌ 密码错误 / Wrong Password"
|
| 280 |
-
}
|
| 281 |
-
|
| 282 |
-
# 绑定点击事件
|
| 283 |
-
check_btn.click(
|
| 284 |
-
verify_and_download,
|
| 285 |
-
inputs=[admin_pass],
|
| 286 |
-
outputs=[file_download, msg_box]
|
| 287 |
-
)
|
| 288 |
-
# =======================================================
|
| 289 |
-
|
| 290 |
-
# ================= 交互逻辑 =================
|
| 291 |
|
| 292 |
def start_survey():
|
| 293 |
batch = get_random_batch()
|
| 294 |
if not batch:
|
| 295 |
return {
|
| 296 |
welcome_page: gr.update(visible=True),
|
| 297 |
-
gr.State(""): "Error
|
| 298 |
}
|
| 299 |
-
|
| 300 |
-
u_id = str(int(time.time()))
|
| 301 |
|
|
|
|
| 302 |
first_path, _, first_task = batch[0]
|
| 303 |
-
q_text = generate_question_text(first_task)
|
| 304 |
-
l_html = generate_label_html(first_task)
|
| 305 |
|
| 306 |
return {
|
| 307 |
welcome_page: gr.update(visible=False),
|
| 308 |
-
|
|
|
|
| 309 |
end_page: gr.update(visible=False),
|
| 310 |
state_batch: batch,
|
| 311 |
state_index: 0,
|
| 312 |
state_results: [],
|
| 313 |
state_user_id: u_id,
|
| 314 |
-
image_display: first_path,
|
| 315 |
progress_md: f"### ⏳ Progress: 1 / {len(batch)}",
|
| 316 |
-
question_html:
|
| 317 |
-
label_html:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 318 |
}
|
| 319 |
|
| 320 |
-
|
| 321 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 322 |
_, current_name, current_task = batch[index]
|
| 323 |
results.append((current_name, current_task, is_success))
|
| 324 |
|
| 325 |
next_index = index + 1
|
| 326 |
|
| 327 |
if next_index >= len(batch):
|
| 328 |
-
# 完成
|
| 329 |
save_result(u_id, results)
|
| 330 |
return {
|
| 331 |
-
|
| 332 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 333 |
}
|
| 334 |
else:
|
| 335 |
-
# 下一题
|
| 336 |
next_path, _, next_task = batch[next_index]
|
| 337 |
-
q_text = generate_question_text(next_task)
|
| 338 |
-
l_html = generate_label_html(next_task)
|
| 339 |
|
| 340 |
return {
|
|
|
|
|
|
|
|
|
|
| 341 |
state_index: next_index,
|
| 342 |
state_results: results,
|
| 343 |
-
image_display: next_path,
|
| 344 |
progress_md: f"### ⏳ Progress: {next_index + 1} / {len(batch)}",
|
| 345 |
-
question_html:
|
| 346 |
-
label_html:
|
| 347 |
}
|
| 348 |
|
| 349 |
-
# 绑定事件
|
|
|
|
| 350 |
start_btn.click(
|
| 351 |
start_survey,
|
| 352 |
inputs=[],
|
| 353 |
-
outputs=[welcome_page,
|
| 354 |
)
|
| 355 |
|
| 356 |
-
#
|
| 357 |
-
#
|
| 358 |
-
|
| 359 |
-
#
|
| 360 |
btn_pass.click(
|
| 361 |
-
|
| 362 |
-
inputs=[
|
| 363 |
-
outputs=[
|
| 364 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 365 |
)
|
| 366 |
|
| 367 |
-
#
|
| 368 |
btn_fail.click(
|
| 369 |
-
|
| 370 |
-
inputs=[
|
| 371 |
-
outputs=[
|
| 372 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 373 |
)
|
| 374 |
|
| 375 |
if __name__ == "__main__":
|
|
|
|
| 7 |
|
| 8 |
# ================= 配置区域 (Configuration) =================
|
| 9 |
|
| 10 |
+
# 路径配置
|
| 11 |
IMAGE_DIR = "./user_study_pairs"
|
|
|
|
|
|
|
| 12 |
RESULT_FILE = "user_study_results.csv"
|
| 13 |
|
| 14 |
+
# 示例路径
|
| 15 |
+
EXAMPLE_POS_DIR = "./example_pos"
|
| 16 |
+
EXAMPLE_NEG_DIR = "./example_neg"
|
| 17 |
+
|
| 18 |
+
# 每个任务抽取的样本数量
|
| 19 |
SAMPLES_PER_TASK = 5
|
| 20 |
|
| 21 |
+
# 任务列表
|
| 22 |
TASKS = ['haze', 'shadow', 'reflections', 'lens_flares']
|
| 23 |
|
| 24 |
+
# 任务名称映射
|
| 25 |
TASK_NAMES = {
|
| 26 |
'haze': {'cn': '雾霾', 'en': 'Fog/Haze'},
|
| 27 |
'shadow': {'cn': '阴影', 'en': 'Shadows'},
|
|
|
|
| 32 |
# ================= 核心逻辑 (Core Logic) =================
|
| 33 |
|
| 34 |
def get_random_batch():
|
| 35 |
+
"""从文件夹中按任务分层随机抽取样本"""
|
|
|
|
|
|
|
|
|
|
| 36 |
if not os.path.exists(IMAGE_DIR):
|
| 37 |
return []
|
| 38 |
|
|
|
|
| 40 |
selected_batch = []
|
| 41 |
|
| 42 |
for task in TASKS:
|
|
|
|
| 43 |
task_files = [f for f in all_files if f.startswith(task)]
|
|
|
|
|
|
|
| 44 |
if len(task_files) >= SAMPLES_PER_TASK:
|
| 45 |
chosen = random.sample(task_files, SAMPLES_PER_TASK)
|
| 46 |
else:
|
| 47 |
chosen = task_files
|
|
|
|
| 48 |
for f in chosen:
|
| 49 |
+
selected_batch.append((os.path.join(IMAGE_DIR, f), f, task))
|
|
|
|
| 50 |
|
| 51 |
random.shuffle(selected_batch)
|
| 52 |
return selected_batch
|
| 53 |
|
| 54 |
def save_result(user_id, results):
|
| 55 |
+
"""保存结果到 CSV"""
|
|
|
|
|
|
|
|
|
|
| 56 |
data = []
|
| 57 |
timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
|
|
|
|
| 58 |
for img_name, task, is_success in results:
|
| 59 |
data.append({
|
| 60 |
"User_ID": user_id,
|
|
|
|
| 63 |
"Task": task,
|
| 64 |
"Is_Success": is_success
|
| 65 |
})
|
|
|
|
| 66 |
df = pd.DataFrame(data)
|
|
|
|
| 67 |
if not os.path.exists(RESULT_FILE):
|
| 68 |
df.to_csv(RESULT_FILE, index=False, encoding='utf_8_sig')
|
| 69 |
else:
|
| 70 |
df.to_csv(RESULT_FILE, mode='a', header=False, index=False, encoding='utf_8_sig')
|
| 71 |
|
| 72 |
def generate_label_html(task_key):
|
| 73 |
+
"""生成图片标签 (Dark Mode 兼容)"""
|
|
|
|
|
|
|
|
|
|
| 74 |
if task_key == 'shadow':
|
|
|
|
| 75 |
return """
|
| 76 |
<div class='big-label-container'>
|
| 77 |
+
<div style='flex:1;'>Input<br><span class='sub-label'>(输入原图)</span></div>
|
| 78 |
+
<div style='flex:1; border-left: 1px solid #ccc; border-right: 1px solid #ccc;'>Masked Shadow<br><span class='sub-label'>(阴影蒙版)</span></div>
|
| 79 |
+
<div style='flex:1;'>Output<br><span class='sub-label'>(修复结果)</span></div>
|
| 80 |
</div>
|
| 81 |
"""
|
| 82 |
else:
|
|
|
|
| 83 |
return """
|
| 84 |
<div class='big-label-container'>
|
| 85 |
+
<div style='flex:1;'>Input<br><span class='sub-label'>(输入原图)</span></div>
|
| 86 |
+
<div style='flex:1; border-left: 1px solid #ccc;'>Output<br><span class='sub-label'>(修复结果)</span></div>
|
| 87 |
</div>
|
| 88 |
"""
|
| 89 |
|
| 90 |
def generate_question_text(task_key):
|
| 91 |
+
"""生成问题描述"""
|
|
|
|
|
|
|
|
|
|
| 92 |
name_cn = TASK_NAMES.get(task_key, {}).get('cn', '干扰效应')
|
| 93 |
name_en = TASK_NAMES.get(task_key, {}).get('en', 'Artifacts')
|
| 94 |
|
|
|
|
| 95 |
if task_key == 'shadow':
|
| 96 |
q1_cn = "1. <b>蒙版红色区域 (Masked Red Region)</b> 内的阴影是否去除干净?"
|
| 97 |
q1_en = "1. Is the shadow within the <b>Masked Red Region</b> removed cleanly?"
|
|
|
|
| 99 |
q1_cn = f"1. 画面中的 <b>“{name_cn}”</b> 是否去除干净?"
|
| 100 |
q1_en = f"1. Is the <b>“{name_en}”</b> removed cleanly?"
|
| 101 |
|
| 102 |
+
return f"""
|
| 103 |
<div class='question-box'>
|
| 104 |
<h3>请仔细评估 / Please Evaluate:</h3>
|
| 105 |
+
<p>{q1_cn}<br><span class='en-text'>{q1_en}</span></p>
|
| 106 |
+
<hr style='margin: 10px 0; opacity: 0.3; border-top: 1px solid #ccc;'>
|
|
|
|
| 107 |
<p>2. 原本的背景内容是否 <b>保持完整</b> 且未被篡改?<br>
|
| 108 |
<span class='en-text'>2. Is the original background <b>preserved</b> without distortion?</span></p>
|
| 109 |
</div>
|
| 110 |
"""
|
| 111 |
+
|
| 112 |
+
# ================= 样式定义 (CSS) =================
|
| 113 |
+
# 将 CSS 独立出来,使用 gr.HTML 注入,避免版本兼容性警告
|
| 114 |
+
CUSTOM_CSS = """
|
| 115 |
+
<style>
|
| 116 |
+
footer {visibility: hidden}
|
| 117 |
+
|
| 118 |
+
/* 强制在 Light/Dark 模式下,这些背景框里的文字都是深色 */
|
| 119 |
+
.big-label-container {
|
| 120 |
+
display: flex;
|
| 121 |
+
text-align: center;
|
| 122 |
+
font-weight: bold;
|
| 123 |
+
font-size: 1.1em;
|
| 124 |
+
color: #333 !important;
|
| 125 |
+
background-color: #e8f4f8;
|
| 126 |
+
padding: 8px 0;
|
| 127 |
+
border-radius: 8px;
|
| 128 |
+
margin-bottom: 5px;
|
| 129 |
+
width: 100%;
|
| 130 |
+
align-items: center;
|
| 131 |
+
}
|
| 132 |
+
.question-box {
|
| 133 |
+
background-color: #f9f9f9;
|
| 134 |
+
padding: 15px;
|
| 135 |
+
border-radius: 10px;
|
| 136 |
+
border: 1px solid #ddd;
|
| 137 |
+
margin-top: 10px;
|
| 138 |
+
color: #333 !important;
|
| 139 |
+
}
|
| 140 |
+
.question-box h3 {
|
| 141 |
+
color: #2c3e50 !important;
|
| 142 |
+
margin-top: 0;
|
| 143 |
+
}
|
| 144 |
+
.en-text {
|
| 145 |
+
color: #666 !important;
|
| 146 |
+
font-style: italic;
|
| 147 |
+
font-size: 0.95em;
|
| 148 |
+
}
|
| 149 |
+
.sub-label {
|
| 150 |
+
font-size: 0.8em;
|
| 151 |
+
font-weight: normal;
|
| 152 |
+
color: #555 !important;
|
| 153 |
+
}
|
| 154 |
+
/* Loading 样式 */
|
| 155 |
+
.loading-container {
|
| 156 |
+
display: flex;
|
| 157 |
+
justify-content: center;
|
| 158 |
+
align-items: center;
|
| 159 |
+
height: 300px;
|
| 160 |
+
font-size: 1.5em;
|
| 161 |
+
color: #666;
|
| 162 |
+
flex-direction: column;
|
| 163 |
+
}
|
| 164 |
+
</style>
|
| 165 |
+
"""
|
| 166 |
|
| 167 |
# ================= 界面构建 (UI Layout) =================
|
| 168 |
|
| 169 |
with gr.Blocks(title="Visual Perception Study") as demo:
|
| 170 |
+
# 注入样式
|
| 171 |
+
gr.HTML(CUSTOM_CSS)
|
| 172 |
+
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 173 |
# --- 状态变量 ---
|
| 174 |
state_batch = gr.State([])
|
| 175 |
state_index = gr.State(0)
|
| 176 |
state_results = gr.State([])
|
| 177 |
state_user_id = gr.State("")
|
| 178 |
|
| 179 |
+
# ================= 页面 1: 欢迎与示例 =================
|
| 180 |
with gr.Group(visible=True) as welcome_page:
|
| 181 |
gr.Markdown("# 📋 图像修复主观质量评估 / Perceptual Image Restoration Study")
|
| 182 |
|
| 183 |
with gr.Row():
|
| 184 |
+
with gr.Column(scale=2):
|
| 185 |
gr.Markdown("""
|
| 186 |
### 👋 欢迎 / Welcome
|
| 187 |
本研究旨在评估图像修复算法在真实场景下的表现。
|
| 188 |
+
This study evaluates image restoration algorithms in real-world scenarios.
|
| 189 |
|
| 190 |
### 🎯 评估标准 / Criteria for Success
|
| 191 |
请判断修复结果是否 **同时满足** 以下两个条件:
|
| 192 |
Please judge whether the restoration meets **BOTH** criteria:
|
| 193 |
|
| 194 |
+
1. **去除彻底 (Clean Removal)**: 干扰(雾霾/烟雾/阴影/反光/镜头炫光)已消失。
|
| 195 |
+
2. **保真度 (Content Fidelity)**: 背景物体、结构、颜色未被篡改。
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 196 |
""")
|
| 197 |
|
| 198 |
+
start_btn = gr.Button("🚀 开始测试 / Start Survey", variant="primary", size="lg")
|
| 199 |
+
|
| 200 |
gr.Markdown(f"""
|
|
|
|
| 201 |
* **题目数量 / Questions**: {len(TASKS) * SAMPLES_PER_TASK}
|
| 202 |
+
* **匿名性 / Anonymity**: 结果仅用于学术统计。
|
| 203 |
""")
|
| 204 |
|
| 205 |
+
gr.Markdown("---")
|
| 206 |
+
gr.Markdown("### 📚 示例参考 / Examples")
|
| 207 |
+
|
| 208 |
+
# --- Positive Examples ---
|
| 209 |
+
gr.Markdown("#### ✅ 成功示例 / Success Cases (Clean & Preserved)")
|
| 210 |
+
|
| 211 |
+
# 预先构建数据列表 [(路径, 标题), ...]
|
| 212 |
+
pos_gallery_data = []
|
| 213 |
+
pos_files = ["pos_haze.png", "pos_shadow.png", "pos_ref.png", "pos_flare.png"]
|
| 214 |
+
pos_captions = ["Haze Removal", "Shadow Removal", "Reflection Removal", "Flare Removal"]
|
| 215 |
+
|
| 216 |
+
for p_file, p_cap in zip(pos_files, pos_captions):
|
| 217 |
+
p_path = os.path.join(EXAMPLE_POS_DIR, p_file)
|
| 218 |
+
if os.path.exists(p_path):
|
| 219 |
+
pos_gallery_data.append((p_path, p_cap))
|
| 220 |
|
| 221 |
+
# 使用 Gallery 组件:columns=4 强制一行四列对齐
|
| 222 |
+
if pos_gallery_data:
|
| 223 |
+
gr.Gallery(
|
| 224 |
+
value=pos_gallery_data,
|
| 225 |
+
show_label=False,
|
| 226 |
+
columns=4, # 强制 4 列对齐
|
| 227 |
+
rows=1,
|
| 228 |
+
height="auto",
|
| 229 |
+
object_fit="contain"
|
| 230 |
+
)
|
| 231 |
+
|
| 232 |
+
# --- Negative Examples ---
|
| 233 |
+
gr.Markdown("#### ❌ 失败示例 / Failure Cases")
|
| 234 |
+
with gr.Row():
|
| 235 |
+
# Neg 1: Identity Changed
|
| 236 |
+
neg_path_1 = os.path.join(EXAMPLE_NEG_DIR, "neg_identity_changed.png")
|
| 237 |
+
if os.path.exists(neg_path_1):
|
| 238 |
+
with gr.Column():
|
| 239 |
+
gr.Image(neg_path_1, interactive=False, show_label=False)
|
| 240 |
+
gr.Markdown("**❌ 失败原因:背景结构改变**<br>*(Failure: Structure/Identity Changed)*", elem_classes="question-box")
|
| 241 |
+
|
| 242 |
+
# Neg 2: Not Removed
|
| 243 |
+
neg_path_2 = os.path.join(EXAMPLE_NEG_DIR, "neg_not_fully_removed.png")
|
| 244 |
+
if os.path.exists(neg_path_2):
|
| 245 |
+
with gr.Column():
|
| 246 |
+
gr.Image(neg_path_2, interactive=False, show_label=False)
|
| 247 |
+
gr.Markdown("**❌ 失败原因:干扰未去干净**<br>*(Failure: Artifacts Not Fully Removed)*", elem_classes="question-box")
|
| 248 |
+
|
| 249 |
+
# ================= 页面 2: 测试页 (包含 Loading) =================
|
| 250 |
+
|
| 251 |
+
# 2.1 真实的答题区域 (Group)
|
| 252 |
+
with gr.Group(visible=False) as quiz_main_ui:
|
| 253 |
progress_md = gr.Markdown("### ⏳ Progress: 1 / 20")
|
| 254 |
|
|
|
|
| 255 |
with gr.Column():
|
| 256 |
+
# 动态标签
|
| 257 |
label_html = gr.HTML(value="")
|
| 258 |
|
| 259 |
+
# 图片组件:保留 show_fullscreen_button 以支持放大
|
| 260 |
+
image_display = gr.Gallery(
|
| 261 |
label="",
|
|
|
|
| 262 |
show_label=False,
|
| 263 |
+
columns=1,
|
| 264 |
+
rows=1,
|
| 265 |
+
height="auto",
|
| 266 |
+
object_fit="contain",
|
| 267 |
+
elem_id="main_task_gallery" # 方便 CSS 控制
|
| 268 |
)
|
| 269 |
|
| 270 |
+
question_html = gr.HTML(value="")
|
|
|
|
| 271 |
|
|
|
|
| 272 |
with gr.Row():
|
| 273 |
+
btn_fail = gr.Button("❌ 失败 / Failure\n(Incomplete / Distorted)", size="lg", variant="stop")
|
| 274 |
+
btn_pass = gr.Button("✅ 成功 / Success\n(Clean & Preserved)", size="lg", variant="primary")
|
| 275 |
|
| 276 |
+
# 2.2 Loading 等待区域 (Group)
|
| 277 |
+
with gr.Group(visible=False) as loading_ui:
|
| 278 |
+
gr.HTML("""
|
| 279 |
+
<div class='loading-container'>
|
| 280 |
+
<p>🔄 Loading next image...</p>
|
| 281 |
+
<p>正在加载下一张...</p>
|
| 282 |
+
</div>
|
| 283 |
+
""")
|
| 284 |
+
|
| 285 |
+
# ================= 页面 3: 结束页 =================
|
| 286 |
with gr.Group(visible=False) as end_page:
|
| 287 |
gr.Markdown("""
|
| 288 |
# 🎉 感谢您的参与! / Thank You!
|
|
|
|
| 291 |
Your evaluation data has been submitted. You may close this page now.
|
| 292 |
""")
|
| 293 |
|
| 294 |
+
# 管理员面板
|
| 295 |
gr.Markdown("---")
|
|
|
|
| 296 |
with gr.Accordion("🔧 管理员��板 / Admin Panel", open=False):
|
| 297 |
with gr.Row():
|
| 298 |
+
admin_pass = gr.Textbox(label="Password", type="password")
|
| 299 |
+
check_btn = gr.Button("Download Data")
|
| 300 |
+
file_download = gr.File(label="Result CSV", interactive=False, visible=False)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 301 |
msg_box = gr.Markdown("")
|
| 302 |
|
| 303 |
def verify_and_download(password):
|
|
|
|
| 304 |
MY_SECRET_PASSWORD = "010929"
|
|
|
|
| 305 |
if password == MY_SECRET_PASSWORD:
|
| 306 |
if os.path.exists(RESULT_FILE):
|
| 307 |
+
return {file_download: gr.update(value=RESULT_FILE, visible=True), msg_box: "✅ Success!"}
|
| 308 |
+
return {file_download: gr.update(visible=False), msg_box: "⚠️ No data yet."}
|
| 309 |
+
return {file_download: gr.update(visible=False), msg_box: "❌ Wrong Password"}
|
| 310 |
+
|
| 311 |
+
check_btn.click(verify_and_download, inputs=[admin_pass], outputs=[file_download, msg_box])
|
| 312 |
+
|
| 313 |
+
# ================= 交互逻辑 (Event Handlers) =================
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 314 |
|
| 315 |
def start_survey():
|
| 316 |
batch = get_random_batch()
|
| 317 |
if not batch:
|
| 318 |
return {
|
| 319 |
welcome_page: gr.update(visible=True),
|
| 320 |
+
gr.State(""): "Error"
|
| 321 |
}
|
|
|
|
|
|
|
| 322 |
|
| 323 |
+
u_id = str(int(time.time()))
|
| 324 |
first_path, _, first_task = batch[0]
|
|
|
|
|
|
|
| 325 |
|
| 326 |
return {
|
| 327 |
welcome_page: gr.update(visible=False),
|
| 328 |
+
quiz_main_ui: gr.update(visible=True),
|
| 329 |
+
loading_ui: gr.update(visible=False),
|
| 330 |
end_page: gr.update(visible=False),
|
| 331 |
state_batch: batch,
|
| 332 |
state_index: 0,
|
| 333 |
state_results: [],
|
| 334 |
state_user_id: u_id,
|
| 335 |
+
image_display: [first_path], # <--- 注意这里加了中括号!
|
| 336 |
progress_md: f"### ⏳ Progress: 1 / {len(batch)}",
|
| 337 |
+
question_html: generate_question_text(first_task),
|
| 338 |
+
label_html: generate_label_html(first_task)
|
| 339 |
+
}
|
| 340 |
+
|
| 341 |
+
# --- 关键逻辑:分两步走以解决卡顿 ---
|
| 342 |
+
|
| 343 |
+
# 步骤 1: 立即切换到 Loading 界面 (前端快速响应)
|
| 344 |
+
def switch_to_loading():
|
| 345 |
+
return {
|
| 346 |
+
quiz_main_ui: gr.update(visible=False), # 立即隐藏按钮,防止连点
|
| 347 |
+
loading_ui: gr.update(visible=True) # 显示 Loading
|
| 348 |
}
|
| 349 |
|
| 350 |
+
# 步骤 2: 后台处理数据,准备好后切换回答题界面
|
| 351 |
+
def process_and_next(is_success, index, batch, results, u_id):
|
| 352 |
+
# 安全检查
|
| 353 |
+
if not batch or index >= len(batch):
|
| 354 |
+
return {
|
| 355 |
+
quiz_main_ui: gr.update(visible=False),
|
| 356 |
+
loading_ui: gr.update(visible=False),
|
| 357 |
+
end_page: gr.update(visible=True),
|
| 358 |
+
state_index: index,
|
| 359 |
+
state_results: results,
|
| 360 |
+
image_display: gr.update(),
|
| 361 |
+
progress_md: gr.update(),
|
| 362 |
+
question_html: gr.update(),
|
| 363 |
+
label_html: gr.update()
|
| 364 |
+
}
|
| 365 |
+
|
| 366 |
+
# 记录数据
|
| 367 |
_, current_name, current_task = batch[index]
|
| 368 |
results.append((current_name, current_task, is_success))
|
| 369 |
|
| 370 |
next_index = index + 1
|
| 371 |
|
| 372 |
if next_index >= len(batch):
|
| 373 |
+
# 完成所有题目
|
| 374 |
save_result(u_id, results)
|
| 375 |
return {
|
| 376 |
+
quiz_main_ui: gr.update(visible=False),
|
| 377 |
+
loading_ui: gr.update(visible=False),
|
| 378 |
+
end_page: gr.update(visible=True),
|
| 379 |
+
state_index: next_index,
|
| 380 |
+
state_results: results,
|
| 381 |
+
image_display: gr.update(),
|
| 382 |
+
progress_md: gr.update(),
|
| 383 |
+
question_html: gr.update(),
|
| 384 |
+
label_html: gr.update()
|
| 385 |
}
|
| 386 |
else:
|
| 387 |
+
# 加载下一题
|
| 388 |
next_path, _, next_task = batch[next_index]
|
|
|
|
|
|
|
| 389 |
|
| 390 |
return {
|
| 391 |
+
quiz_main_ui: gr.update(visible=True),
|
| 392 |
+
loading_ui: gr.update(visible=False),
|
| 393 |
+
end_page: gr.update(visible=False),
|
| 394 |
state_index: next_index,
|
| 395 |
state_results: results,
|
| 396 |
+
image_display: [next_path], # <--- [修改处 4] 注意这里加了中括号!
|
| 397 |
progress_md: f"### ⏳ Progress: {next_index + 1} / {len(batch)}",
|
| 398 |
+
question_html: generate_question_text(next_task),
|
| 399 |
+
label_html: generate_label_html(next_task)
|
| 400 |
}
|
| 401 |
|
| 402 |
+
# --- 绑定事件 ---
|
| 403 |
+
|
| 404 |
start_btn.click(
|
| 405 |
start_survey,
|
| 406 |
inputs=[],
|
| 407 |
+
outputs=[welcome_page, quiz_main_ui, loading_ui, end_page, state_batch, state_index, state_results, state_user_id, image_display, progress_md, question_html, label_html]
|
| 408 |
)
|
| 409 |
|
| 410 |
+
# 链式调用:先变Loading,再算结果
|
| 411 |
+
# queue=False 保证第一步立即执行,不排队
|
| 412 |
+
|
| 413 |
+
# 点击 Pass
|
| 414 |
btn_pass.click(
|
| 415 |
+
switch_to_loading,
|
| 416 |
+
inputs=[],
|
| 417 |
+
outputs=[quiz_main_ui, loading_ui],
|
| 418 |
+
queue=False
|
| 419 |
+
).then(
|
| 420 |
+
process_and_next,
|
| 421 |
+
inputs=[gr.Number(1, visible=False), state_index, state_batch, state_results, state_user_id],
|
| 422 |
+
outputs=[quiz_main_ui, loading_ui, end_page, state_index, state_results, image_display, progress_md, question_html, label_html]
|
| 423 |
)
|
| 424 |
|
| 425 |
+
# 点击 Fail
|
| 426 |
btn_fail.click(
|
| 427 |
+
switch_to_loading,
|
| 428 |
+
inputs=[],
|
| 429 |
+
outputs=[quiz_main_ui, loading_ui],
|
| 430 |
+
queue=False
|
| 431 |
+
).then(
|
| 432 |
+
process_and_next,
|
| 433 |
+
inputs=[gr.Number(0, visible=False), state_index, state_batch, state_results, state_user_id],
|
| 434 |
+
outputs=[quiz_main_ui, loading_ui, end_page, state_index, state_results, image_display, progress_md, question_html, label_html]
|
| 435 |
)
|
| 436 |
|
| 437 |
if __name__ == "__main__":
|
example_neg/neg_identity_changed.png
ADDED
|
Git LFS Details
|
example_neg/neg_not_fully_removed.png
ADDED
|
Git LFS Details
|
example_pos/pos_flare.png
ADDED
|
Git LFS Details
|
example_pos/pos_haze.png
ADDED
|
Git LFS Details
|
example_pos/pos_ref.png
ADDED
|
Git LFS Details
|
example_pos/pos_shadow.png
ADDED
|
Git LFS Details
|