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Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
@@ -136,6 +136,7 @@ def detect_image(image):
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results = model(image)
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return results.render()[0]
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def detect_video(video_path):
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video = cv2.VideoCapture(video_path)
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frame_rate = video.get(cv2.CAP_PROP_FPS)
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@@ -143,6 +144,12 @@ def detect_video(video_path):
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# Create a directory to store the frames
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frames_dir = 'frames'
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os.makedirs(frames_dir, exist_ok=True)
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frame_count = 0
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process_frame_count = 0
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@@ -162,6 +169,12 @@ def detect_video(video_path):
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# Process the frames with object detection and save the results
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results_dir = 'results'
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os.makedirs(results_dir, exist_ok=True)
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for i in range(process_frame_count):
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frame_path = os.path.join(frames_dir, f'frame_{i:04d}.jpg')
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@@ -188,12 +201,11 @@ def detect_video(video_path):
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video_writer.release()
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# Clean up the temporary directories
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-
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-
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return video_output_path
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-
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# Create Gradio interfaces for different modes
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img_interface = gr.Interface(
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fn=detect_image,
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results = model(image)
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return results.render()[0]
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def detect_video(video_path):
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video = cv2.VideoCapture(video_path)
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frame_rate = video.get(cv2.CAP_PROP_FPS)
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# Create a directory to store the frames
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frames_dir = 'frames'
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os.makedirs(frames_dir, exist_ok=True)
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# Remove existing contents of the frames directory
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for file_name in os.listdir(frames_dir):
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file_path = os.path.join(frames_dir, file_name)
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if os.path.isfile(file_path):
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os.remove(file_path)
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frame_count = 0
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process_frame_count = 0
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# Process the frames with object detection and save the results
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results_dir = 'results'
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os.makedirs(results_dir, exist_ok=True)
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# Remove existing contents of the results directory
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for file_name in os.listdir(results_dir):
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file_path = os.path.join(results_dir, file_name)
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if os.path.isfile(file_path):
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os.remove(file_path)
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for i in range(process_frame_count):
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frame_path = os.path.join(frames_dir, f'frame_{i:04d}.jpg')
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video_writer.release()
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# Clean up the temporary directories
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shutil.rmtree(frames_dir)
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shutil.rmtree(results_dir)
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return video_output_path
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# Create Gradio interfaces for different modes
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img_interface = gr.Interface(
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fn=detect_image,
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