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Update app.py
Browse files
app.py
CHANGED
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@@ -13,7 +13,6 @@ UPLOAD_FOLDER = os.path.join(STATIC_FOLDER, 'uploads')
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OUTPUT_FOLDER = os.path.join(STATIC_FOLDER, 'outputs')
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MODEL_FOLDER = os.path.join(BASE_DIR, 'model')
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os.makedirs(STATIC_FOLDER, exist_ok=True)
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os.makedirs(UPLOAD_FOLDER, exist_ok=True)
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os.makedirs(OUTPUT_FOLDER, exist_ok=True)
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@@ -22,12 +21,15 @@ protoPath = os.path.join(MODEL_FOLDER, 'colorization_deploy_v2.prototxt')
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modelPath = os.path.join(MODEL_FOLDER, 'colorization_release_v2.caffemodel')
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hullPath = os.path.join(MODEL_FOLDER, 'pts_in_hull.npy')
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assert os.path.exists(protoPath), f"Missing proto file: {protoPath}"
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assert os.path.exists(modelPath), f"Missing model file: {modelPath}"
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assert os.path.exists(hullPath), f"Missing hull file: {hullPath}"
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COLORIZATION_MODEL_AVAILABLE = False
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try:
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print("Loading colorization model...")
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net = cv2.dnn.readNetFromCaffe(protoPath, modelPath)
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pts_in_hull = np.load(hullPath)
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@@ -36,10 +38,8 @@ try:
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raise ValueError(f"pts_in_hull shape invalid: {pts_in_hull.shape}")
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pts = pts_in_hull.transpose().reshape(2, 313, 1, 1).astype(np.float32)
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net.getLayer(net.getLayerId('class8_ab')).blobs = [pts]
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net.getLayer(net.getLayerId('conv8_313_rh')).blobs = [np.full([1, 313], 2.606, dtype=np.float32)]
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COLORIZATION_MODEL_AVAILABLE = True
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print("Colorization model loaded successfully.")
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except Exception as e:
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@@ -59,33 +59,28 @@ def adjust_brightness_contrast(img, brightness=0, contrast=20):
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return cv2.convertScaleAbs(img, alpha=alpha, beta=brightness)
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def colorize_image_local(input_path, output_path):
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print(f"Reading image for colorization: {input_path}")
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img = cv2.imread(input_path)
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if img is None:
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print("ERROR: Could not read input image (file may be corrupt or unreadable by OpenCV).")
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return False
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else:
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print(f"Image loaded successfully, shape: {img.shape}")
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if not COLORIZATION_MODEL_AVAILABLE:
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print("Colorization model not available.")
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return False
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img = resize_img(img)
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h, w = img.shape[:2]
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img_rgb = img.astype("float32") / 255.0
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lab = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2LAB)
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L = lab[:, :, 0]
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L_resized = cv2.resize(L, (224, 224))
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L_resized -= 50 # mean-centering
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try:
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net.setInput(cv2.dnn.blobFromImage(L_resized))
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ab = net.forward()[0].transpose(1, 2, 0)
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except Exception as e:
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print(f"
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return False
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ab = cv2.resize(ab, (w, h))
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@@ -94,56 +89,30 @@ def colorize_image_local(input_path, output_path):
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out_bgr = np.clip(out_bgr * 255, 0, 255).astype("uint8")
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out_bgr = adjust_brightness_contrast(out_bgr, brightness=-10, contrast=15)
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cv2.imwrite(output_path, out_bgr)
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print(f"Colorized image saved to {output_path}")
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return True
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@app.route('/', methods=['GET', 'POST'])
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def index():
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print(f"protoPath: {protoPath}, exists? {os.path.exists(protoPath)}")
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print(f"modelPath: {modelPath}, exists? {os.path.exists(modelPath)}")
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print(f"hullPath: {hullPath}, exists? {os.path.exists(hullPath)}")
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print(f"UPLOAD_FOLDER: {UPLOAD_FOLDER}, exists? {os.path.exists(UPLOAD_FOLDER)}")
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print(f"OUTPUT_FOLDER: {OUTPUT_FOLDER}, exists? {os.path.exists(OUTPUT_FOLDER)}")
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print(f"COLORIZATION_MODEL_AVAILABLE: {COLORIZATION_MODEL_AVAILABLE}")
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print(f"cv2 version: {cv2.__version__}")
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original_url = enhanced_url = None
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if request.method == 'POST':
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file = request.files.get('image')
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if file
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filename = secure_filename(file.filename)
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orig_path = os.path.join(UPLOAD_FOLDER, filename)
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print(f"Saving file to {orig_path}")
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try:
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file.save(orig_path)
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print(f"File saved successfully.")
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except Exception as e:
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print(f"ERROR: Failed to save file: {e}")
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return "File save failed", 400
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if os.path.exists(orig_path):
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print(f"Saved file size: {os.path.getsize(orig_path)} bytes")
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else:
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print("ERROR: File does not exist after saving!")
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return "File save failed", 400
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output_name = f"output_{filename}"
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output_path = os.path.join(OUTPUT_FOLDER, output_name)
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if not colorize_image_local(orig_path, output_path):
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print("Colorization failed inside colorize_image_local")
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return "Colorization failed", 400
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original_url = url_for('static', filename=f'uploads/{filename}')
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enhanced_url = url_for('static', filename=f'outputs/{output_name}')
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else:
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print("No file uploaded or empty filename.")
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return "No file uploaded", 400
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if __name__ == '__main__':
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port = int(os.environ.get("PORT", 7860))
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OUTPUT_FOLDER = os.path.join(STATIC_FOLDER, 'outputs')
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MODEL_FOLDER = os.path.join(BASE_DIR, 'model')
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os.makedirs(UPLOAD_FOLDER, exist_ok=True)
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os.makedirs(OUTPUT_FOLDER, exist_ok=True)
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modelPath = os.path.join(MODEL_FOLDER, 'colorization_release_v2.caffemodel')
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hullPath = os.path.join(MODEL_FOLDER, 'pts_in_hull.npy')
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COLORIZATION_MODEL_AVAILABLE = False
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net = None
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# --- Load model ---
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try:
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assert os.path.exists(protoPath), f"Missing proto file: {protoPath}"
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assert os.path.exists(modelPath), f"Missing model file: {modelPath}"
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assert os.path.exists(hullPath), f"Missing hull file: {hullPath}"
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print("Loading colorization model...")
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net = cv2.dnn.readNetFromCaffe(protoPath, modelPath)
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pts_in_hull = np.load(hullPath)
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raise ValueError(f"pts_in_hull shape invalid: {pts_in_hull.shape}")
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pts = pts_in_hull.transpose().reshape(2, 313, 1, 1).astype(np.float32)
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net.getLayer(net.getLayerId('class8_ab')).blobs = [pts]
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net.getLayer(net.getLayerId('conv8_313_rh')).blobs = [np.full([1, 313], 2.606, dtype=np.float32)]
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COLORIZATION_MODEL_AVAILABLE = True
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print("Colorization model loaded successfully.")
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except Exception as e:
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return cv2.convertScaleAbs(img, alpha=alpha, beta=brightness)
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def colorize_image_local(input_path, output_path):
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if not COLORIZATION_MODEL_AVAILABLE:
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print("Colorization model not available.")
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return False
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img = cv2.imread(input_path)
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if img is None:
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print(f"Failed to read image: {input_path}")
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return False
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img = resize_img(img)
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h, w = img.shape[:2]
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img_rgb = img.astype("float32") / 255.0
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lab = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2LAB)
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L = lab[:, :, 0]
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L_resized = cv2.resize(L, (224, 224)) - 50 # mean-centering
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try:
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net.setInput(cv2.dnn.blobFromImage(L_resized))
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ab = net.forward()[0].transpose(1, 2, 0)
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except Exception as e:
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print(f"DNN forward pass failed: {e}")
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return False
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ab = cv2.resize(ab, (w, h))
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out_bgr = np.clip(out_bgr * 255, 0, 255).astype("uint8")
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out_bgr = adjust_brightness_contrast(out_bgr, brightness=-10, contrast=15)
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cv2.imwrite(output_path, out_bgr)
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return True
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@app.route('/', methods=['GET', 'POST'])
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def index():
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original_url = enhanced_url = None
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if request.method == 'POST':
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file = request.files.get('image')
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if not file or not file.filename:
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return "No file uploaded", 400
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filename = secure_filename(file.filename)
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orig_path = os.path.join(UPLOAD_FOLDER, filename)
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file.save(orig_path)
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output_name = f"output_{filename}"
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output_path = os.path.join(OUTPUT_FOLDER, output_name)
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if not colorize_image_local(orig_path, output_path):
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return "Colorization failed", 400
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original_url = url_for('static', filename=f'uploads/{filename}')
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enhanced_url = url_for('static', filename=f'outputs/{output_name}')
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return render_template('index.html', original_url=original_url, enhanced_url=enhanced_url)
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if __name__ == '__main__':
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port = int(os.environ.get("PORT", 7860))
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