ultralytics 8.0.237 cv2.CAP_PROP fix and in_counts and out_counts displays (#7380)
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: ayush chaurasia <ayush.chaurarsia@gmail.com> Co-authored-by: Muhammad Rizwan Munawar <chr043416@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: 曾逸夫(Zeng Yifu) <41098760+Zengyf-CVer@users.noreply.github.com>
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15 changed files with 108 additions and 90 deletions
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@ -45,6 +45,7 @@ Object counting with [Ultralytics YOLOv8](https://github.com/ultralytics/ultraly
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model = YOLO("yolov8n.pt")
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cap = cv2.VideoCapture("path/to/video/file.mp4")
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assert cap.isOpened(), "Error reading video file"
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w, h, fps = (int(cap.get(x)) for x in (cv2.CAP_PROP_FRAME_WIDTH, cv2.CAP_PROP_FRAME_HEIGHT, cv2.CAP_PROP_FPS))
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# Define region points
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region_points = [(20, 400), (1080, 404), (1080, 360), (20, 360)]
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@ -52,8 +53,8 @@ Object counting with [Ultralytics YOLOv8](https://github.com/ultralytics/ultraly
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# Video writer
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video_writer = cv2.VideoWriter("object_counting_output.avi",
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cv2.VideoWriter_fourcc(*'mp4v'),
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int(cap.get(5)),
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(int(cap.get(3)), int(cap.get(4))))
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fps,
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(w, h))
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# Init Object Counter
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counter = object_counter.ObjectCounter()
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@ -87,6 +88,7 @@ Object counting with [Ultralytics YOLOv8](https://github.com/ultralytics/ultraly
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model = YOLO("yolov8n.pt")
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cap = cv2.VideoCapture("path/to/video/file.mp4")
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assert cap.isOpened(), "Error reading video file"
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w, h, fps = (int(cap.get(x)) for x in (cv2.CAP_PROP_FRAME_WIDTH, cv2.CAP_PROP_FRAME_HEIGHT, cv2.CAP_PROP_FPS))
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# Define line points
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line_points = [(20, 400), (1080, 400)]
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@ -94,8 +96,8 @@ Object counting with [Ultralytics YOLOv8](https://github.com/ultralytics/ultraly
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# Video writer
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video_writer = cv2.VideoWriter("object_counting_output.avi",
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cv2.VideoWriter_fourcc(*'mp4v'),
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int(cap.get(5)),
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(int(cap.get(3)), int(cap.get(4))))
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fps,
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(w, h))
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# Init Object Counter
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counter = object_counter.ObjectCounter()
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@ -128,6 +130,7 @@ Object counting with [Ultralytics YOLOv8](https://github.com/ultralytics/ultraly
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model = YOLO("yolov8n.pt")
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cap = cv2.VideoCapture("path/to/video/file.mp4")
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assert cap.isOpened(), "Error reading video file"
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w, h, fps = (int(cap.get(x)) for x in (cv2.CAP_PROP_FRAME_WIDTH, cv2.CAP_PROP_FRAME_HEIGHT, cv2.CAP_PROP_FPS))
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line_points = [(20, 400), (1080, 400)] # line or region points
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classes_to_count = [0, 2] # person and car classes for count
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@ -135,8 +138,8 @@ Object counting with [Ultralytics YOLOv8](https://github.com/ultralytics/ultraly
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# Video writer
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video_writer = cv2.VideoWriter("object_counting_output.avi",
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cv2.VideoWriter_fourcc(*'mp4v'),
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int(cap.get(5)),
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(int(cap.get(3)), int(cap.get(4))))
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fps,
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(w, h))
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# Init Object Counter
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counter = object_counter.ObjectCounter()
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@ -170,6 +173,8 @@ Object counting with [Ultralytics YOLOv8](https://github.com/ultralytics/ultraly
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| Name | Type | Default | Description |
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|---------------------|-------------|----------------------------|-----------------------------------------------|
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| view_img | `bool` | `False` | Display frames with counts |
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| view_in_counts | `bool` | `True` | Display incounts only on video frame |
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| view_out_counts | `bool` | `True` | Display outcounts only on video frame |
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| line_thickness | `int` | `2` | Increase bounding boxes thickness |
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| reg_pts | `list` | `[(20, 400), (1260, 400)]` | Points defining the Region Area |
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| classes_names | `dict` | `model.model.names` | Dictionary of Class Names |
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