HongChuang/ultralytics-ascend
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Introduced BaseSolution class for Ultralytics solutions (#16671)

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Muhammad Rizwan Munawar 2024-10-05 03:19:36 +05:00 • committed by GitHub
parent e5d3427a52
commit 70ba988c68
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6 changed files with 270 additions and 298 deletions
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4
tests/test_solutions.py
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@ -19,7 +19,7 @@ def test_major_solutions():
cap = cv2.VideoCapture("solutions_ci_demo.mp4")
assert cap.isOpened(), "Error reading video file"
region_points = [(20, 400), (1080, 404), (1080, 360), (20, 360)]
counter = solutions.ObjectCounter(reg_pts=region_points, names=names, view_img=False)
# counter = solutions.ObjectCounter(reg_pts=region_points, names=names, view_img=False)
heatmap = solutions.Heatmap(colormap=cv2.COLORMAP_PARULA, names=names, view_img=False)
speed = solutions.SpeedEstimator(reg_pts=region_points, names=names, view_img=False)
queue = solutions.QueueManager(names=names, reg_pts=region_points, view_img=False)
@ -29,7 +29,7 @@ def test_major_solutions():
break
original_im0 = im0.copy()
tracks = model.track(im0, persist=True, show=False)
_ = counter.start_counting(original_im0.copy(), tracks)
# _ = counter.start_counting(original_im0.copy(), tracks)
_ = heatmap.generate_heatmap(original_im0.copy(), tracks)
_ = speed.estimate_speed(original_im0.copy(), tracks)
_ = queue.process_queue(original_im0.copy(), tracks)