Spaces:
Sleeping
Sleeping
Update src/web_app.py
#2
by RevDra - opened
- src/web_app.py +55 -13
src/web_app.py
CHANGED
|
@@ -6,9 +6,11 @@ Supports image upload, video upload, and live webcam streaming
|
|
| 6 |
from flask import Flask, render_template, request, jsonify, send_file
|
| 7 |
from werkzeug.utils import secure_filename
|
| 8 |
from pathlib import Path
|
|
|
|
| 9 |
import cv2
|
| 10 |
import numpy as np
|
| 11 |
import base64
|
|
|
|
| 12 |
|
| 13 |
from face_detection_yolov12 import YOLOv12FaceDetector, detect_from_video
|
| 14 |
|
|
@@ -21,7 +23,12 @@ UPLOAD_FOLDER = PROJECT_ROOT / "data" / "uploads"
|
|
| 21 |
MODELS_DIR = PROJECT_ROOT / "models"
|
| 22 |
ALLOWED_EXTENSIONS = {'jpg', 'jpeg', 'png', 'gif', 'mp4', 'avi', 'mov', 'mkv'}
|
| 23 |
MAX_FILE_SIZE = 500 * 1024 * 1024 # 500MB
|
| 24 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 25 |
UPLOAD_FOLDER.mkdir(exist_ok=True)
|
| 26 |
|
| 27 |
app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
|
|
@@ -33,12 +40,33 @@ detector_cache = {}
|
|
| 33 |
|
| 34 |
def get_detector(model_name):
|
| 35 |
"""Get or create detector instance (cached)"""
|
| 36 |
-
|
| 37 |
-
|
| 38 |
-
|
| 39 |
-
|
| 40 |
-
|
| 41 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 42 |
|
| 43 |
|
| 44 |
def allowed_file(filename):
|
|
@@ -80,6 +108,9 @@ def detect_image():
|
|
| 80 |
|
| 81 |
# Get model selection
|
| 82 |
model = request.form.get('model', 'yolov12l-face.pt')
|
|
|
|
|
|
|
|
|
|
| 83 |
|
| 84 |
# Get detector
|
| 85 |
detector = get_detector(model)
|
|
@@ -130,7 +161,8 @@ def detect_image():
|
|
| 130 |
return jsonify(response)
|
| 131 |
|
| 132 |
except Exception as e:
|
| 133 |
-
|
|
|
|
| 134 |
|
| 135 |
|
| 136 |
@app.route('/api/detect-video', methods=['POST'])
|
|
@@ -149,7 +181,10 @@ def detect_video():
|
|
| 149 |
|
| 150 |
# Get model selection
|
| 151 |
model = request.form.get('model', 'yolov12m-face.pt')
|
| 152 |
-
|
|
|
|
|
|
|
|
|
|
| 153 |
# Save uploaded file
|
| 154 |
filename = secure_filename(file.filename)
|
| 155 |
input_path = UPLOAD_FOLDER / f"input_{filename}"
|
|
@@ -175,7 +210,9 @@ def detect_video():
|
|
| 175 |
return jsonify(response)
|
| 176 |
|
| 177 |
except Exception as e:
|
| 178 |
-
|
|
|
|
|
|
|
| 179 |
|
| 180 |
|
| 181 |
@app.route('/api/download/<filename>', methods=['GET'])
|
|
@@ -188,7 +225,9 @@ def download_file(filename):
|
|
| 188 |
|
| 189 |
return send_file(filepath, as_attachment=True)
|
| 190 |
except Exception as e:
|
| 191 |
-
|
|
|
|
|
|
|
| 192 |
|
| 193 |
|
| 194 |
@app.route('/api/models', methods=['GET'])
|
|
@@ -268,11 +307,14 @@ if __name__ == '__main__':
|
|
| 268 |
print(" GET /api/models - Get available models")
|
| 269 |
print(" GET /api/health - Health check")
|
| 270 |
print("\n" + "="*70 + "\n")
|
|
|
|
|
|
|
|
|
|
| 271 |
|
| 272 |
# Run Flask app
|
| 273 |
app.run(
|
| 274 |
host='0.0.0.0',
|
| 275 |
port=7860,
|
| 276 |
-
debug=
|
| 277 |
use_reloader=False
|
| 278 |
-
)
|
|
|
|
| 6 |
from flask import Flask, render_template, request, jsonify, send_file
|
| 7 |
from werkzeug.utils import secure_filename
|
| 8 |
from pathlib import Path
|
| 9 |
+
import os
|
| 10 |
import cv2
|
| 11 |
import numpy as np
|
| 12 |
import base64
|
| 13 |
+
import logging
|
| 14 |
|
| 15 |
from face_detection_yolov12 import YOLOv12FaceDetector, detect_from_video
|
| 16 |
|
|
|
|
| 23 |
MODELS_DIR = PROJECT_ROOT / "models"
|
| 24 |
ALLOWED_EXTENSIONS = {'jpg', 'jpeg', 'png', 'gif', 'mp4', 'avi', 'mov', 'mkv'}
|
| 25 |
MAX_FILE_SIZE = 500 * 1024 * 1024 # 500MB
|
| 26 |
+
ALLOWED_MODELS = {
|
| 27 |
+
'yolov12n-face.pt',
|
| 28 |
+
'yolov12s-face.pt',
|
| 29 |
+
'yolov12m-face.pt',
|
| 30 |
+
'yolov12l-face.pt'
|
| 31 |
+
}
|
| 32 |
UPLOAD_FOLDER.mkdir(exist_ok=True)
|
| 33 |
|
| 34 |
app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
|
|
|
|
| 40 |
|
| 41 |
def get_detector(model_name):
|
| 42 |
"""Get or create detector instance (cached)"""
|
| 43 |
+
safe_name = secure_filename(model_name)
|
| 44 |
+
|
| 45 |
+
if safe_name not in ALLOWED_MODELS:
|
| 46 |
+
logging.error(f"Attempt to load unsupported model: {safe_name}")
|
| 47 |
+
raise ValueError(f"Unsupported model: {safe_name}")
|
| 48 |
+
|
| 49 |
+
if safe_name not in detector_cache:
|
| 50 |
+
model_path = MODELS_DIR / safe_name
|
| 51 |
+
|
| 52 |
+
try:
|
| 53 |
+
final_path = model_path.resolve()
|
| 54 |
+
safe_root = MODELS_DIR.resolve()
|
| 55 |
+
if not str(final_path).startswith(str(safe_root)):
|
| 56 |
+
logging.error(f"Security Alert: Symlink attack detected! {final_path}")
|
| 57 |
+
raise ValueError("Invalid model path (Symlink violation)")
|
| 58 |
+
|
| 59 |
+
except Exception as e:
|
| 60 |
+
logging.error(f"Error resolving model path: {str(e)}")
|
| 61 |
+
raise FileNotFoundError(f"Model path error: {str(e)}")
|
| 62 |
+
|
| 63 |
+
if not final_path.exists():
|
| 64 |
+
logging.error(f"Model file not found: {final_path}")
|
| 65 |
+
raise FileNotFoundError(f"Model not found: {final_path}")
|
| 66 |
+
|
| 67 |
+
detector_cache[safe_name] = YOLOv12FaceDetector(str(final_path))
|
| 68 |
+
|
| 69 |
+
return detector_cache[safe_name]
|
| 70 |
|
| 71 |
|
| 72 |
def allowed_file(filename):
|
|
|
|
| 108 |
|
| 109 |
# Get model selection
|
| 110 |
model = request.form.get('model', 'yolov12l-face.pt')
|
| 111 |
+
if model not in ALLOWED_MODELS:
|
| 112 |
+
app.logger.info(f"Invalid model '{model}' requested. Fallback to default.")
|
| 113 |
+
model = 'yolov12l-face.pt'
|
| 114 |
|
| 115 |
# Get detector
|
| 116 |
detector = get_detector(model)
|
|
|
|
| 161 |
return jsonify(response)
|
| 162 |
|
| 163 |
except Exception as e:
|
| 164 |
+
logging.exception("Error during image detection")
|
| 165 |
+
return jsonify({'error': 'Internal server error during image detection'}), 500
|
| 166 |
|
| 167 |
|
| 168 |
@app.route('/api/detect-video', methods=['POST'])
|
|
|
|
| 181 |
|
| 182 |
# Get model selection
|
| 183 |
model = request.form.get('model', 'yolov12m-face.pt')
|
| 184 |
+
if model not in ALLOWED_MODELS:
|
| 185 |
+
app.logger.info(f"Invalid model '{model}' requested. Fallback to default.")
|
| 186 |
+
model = 'yolov12m-face.pt'
|
| 187 |
+
|
| 188 |
# Save uploaded file
|
| 189 |
filename = secure_filename(file.filename)
|
| 190 |
input_path = UPLOAD_FOLDER / f"input_{filename}"
|
|
|
|
| 210 |
return jsonify(response)
|
| 211 |
|
| 212 |
except Exception as e:
|
| 213 |
+
# Log the full exception server-side without exposing details to the client
|
| 214 |
+
app.logger.exception("Error while processing video detection request")
|
| 215 |
+
return jsonify({'error': 'Internal server error'}), 500
|
| 216 |
|
| 217 |
|
| 218 |
@app.route('/api/download/<filename>', methods=['GET'])
|
|
|
|
| 225 |
|
| 226 |
return send_file(filepath, as_attachment=True)
|
| 227 |
except Exception as e:
|
| 228 |
+
# Log the full exception server-side without exposing details to the client
|
| 229 |
+
app.logger.exception("Error while processing download request for %s", filename)
|
| 230 |
+
return jsonify({'error': 'Internal server error'}), 500
|
| 231 |
|
| 232 |
|
| 233 |
@app.route('/api/models', methods=['GET'])
|
|
|
|
| 307 |
print(" GET /api/models - Get available models")
|
| 308 |
print(" GET /api/health - Health check")
|
| 309 |
print("\n" + "="*70 + "\n")
|
| 310 |
+
|
| 311 |
+
# Determine debug mode from environment (default: disabled)
|
| 312 |
+
debug_mode = os.getenv("FLASK_ENV") == "development"
|
| 313 |
|
| 314 |
# Run Flask app
|
| 315 |
app.run(
|
| 316 |
host='0.0.0.0',
|
| 317 |
port=7860,
|
| 318 |
+
debug=debug_mode,
|
| 319 |
use_reloader=False
|
| 320 |
+
)
|