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https://github.com/THU-MIG/yolov10.git
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container and codec formats changed for video input/outputs
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parent
167ea34027
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16
app.py
16
app.py
@ -7,15 +7,6 @@ import cv2
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import tempfile
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import tempfile
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def check_file_size(file, max_file_size=20*1024*1024): # 20MB
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file_size = 0
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if file:
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with open(file, "rb") as f:
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file_size = len(f.read())
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if file_size > max_file_size:
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raise gr.Error("File size exceeds the 20MB limit. Please try with another file.")
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def yolov10_inference(image, video, model_path, image_size, conf_threshold):
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def yolov10_inference(image, video, model_path, image_size, conf_threshold):
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model = YOLOv10(model_path)
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model = YOLOv10(model_path)
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if image:
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if image:
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@ -23,8 +14,7 @@ def yolov10_inference(image, video, model_path, image_size, conf_threshold):
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annotated_image = results[0].plot()
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annotated_image = results[0].plot()
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return annotated_image[:, :, ::-1], None
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return annotated_image[:, :, ::-1], None
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else:
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else:
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check_file_size(video)
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video_path = tempfile.mktemp(suffix=".webm")
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video_path = tempfile.mktemp(suffix=".mp4")
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with open(video_path, "wb") as f:
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with open(video_path, "wb") as f:
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with open(video, "rb") as g:
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with open(video, "rb") as g:
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f.write(g.read())
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f.write(g.read())
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@ -34,8 +24,8 @@ def yolov10_inference(image, video, model_path, image_size, conf_threshold):
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frame_width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
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frame_width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
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frame_height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
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frame_height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
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output_video_path = tempfile.mktemp(suffix=".mp4")
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output_video_path = tempfile.mktemp(suffix=".webm")
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out = cv2.VideoWriter(output_video_path, cv2.VideoWriter_fourcc(*'mp4v'), fps, (frame_width, frame_height))
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out = cv2.VideoWriter(output_video_path, cv2.VideoWriter_fourcc(*'vp80'), fps, (frame_width, frame_height))
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while cap.isOpened():
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while cap.isOpened():
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ret, frame = cap.read()
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ret, frame = cap.read()
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