Spaces:
Running
on
Zero
Running
on
Zero
Update detect_strongsort.py
Browse files- detect_strongsort.py +2 -2
detect_strongsort.py
CHANGED
@@ -44,7 +44,7 @@ VID_FORMATS = 'asf', 'avi', 'gif', 'm4v', 'mkv', 'mov', 'mp4', 'mpeg', 'mpg', 't
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def plot_one_box(x, img, color=None, label=None, line_thickness=3):
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# Plots one bounding box on image img
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tl = line_thickness or round(0.002 * (img.shape[0] + img.shape[1]) / 2) + 1 # line/font thickness
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color = color or [random.randint(0, 255) for _ in range(3)]
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c1, c2 = (int(x[0]), int(x[1])), (int(x[2]), int(x[3]))
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cv2.rectangle(img, c1, c2, color, thickness=tl, lineType=cv2.LINE_AA)
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if label:
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@@ -157,7 +157,7 @@ def run_strongsort(
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strongsort_list[i].model.warmup()
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outputs = [None] * bs
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colors = [[
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# Run tracking
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model.warmup(imgsz=(1 if pt or model.triton else bs, 3, *imgsz)) # warmup
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def plot_one_box(x, img, color=None, label=None, line_thickness=3):
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# Plots one bounding box on image img
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tl = line_thickness or round(0.002 * (img.shape[0] + img.shape[1]) / 2) + 1 # line/font thickness
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#color = color or [random.randint(0, 255) for _ in range(3)]
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c1, c2 = (int(x[0]), int(x[1])), (int(x[2]), int(x[3]))
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cv2.rectangle(img, c1, c2, color, thickness=tl, lineType=cv2.LINE_AA)
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if label:
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strongsort_list[i].model.warmup()
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outputs = [None] * bs
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colors = [[0, 0, 255], [0,148,255], [0, 255, 10], [250, 247, 0], [235,0,255]]
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# Run tracking
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model.warmup(imgsz=(1 if pt or model.triton else bs, 3, *imgsz)) # warmup
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