`plot_one_box()` default `color=(128, 128, 128)` (#3240)
* Color can be none by default * `plot_one_box()` default `color=(128, 128, 128)` Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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@ -68,11 +68,10 @@ def butter_lowpass_filtfilt(data, cutoff=1500, fs=50000, order=5):
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return filtfilt(b, a, data) # forward-backward filter
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def plot_one_box(x, im, color=None, label=None, line_thickness=3):
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def plot_one_box(x, im, color=(128, 128, 128), label=None, line_thickness=3):
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# Plots one bounding box on image 'im' using OpenCV
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assert im.data.contiguous, 'Image not contiguous. Apply np.ascontiguousarray(im) to plot_on_box() input image.'
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tl = line_thickness or round(0.002 * (im.shape[0] + im.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(im, c1, c2, color, thickness=tl, lineType=cv2.LINE_AA)
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if label:
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@ -83,17 +82,16 @@ def plot_one_box(x, im, color=None, label=None, line_thickness=3):
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cv2.putText(im, label, (c1[0], c1[1] - 2), 0, tl / 3, [225, 255, 255], thickness=tf, lineType=cv2.LINE_AA)
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def plot_one_box_PIL(box, im, color=None, label=None, line_thickness=None):
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def plot_one_box_PIL(box, im, color=(128, 128, 128), label=None, line_thickness=None):
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# Plots one bounding box on image 'im' using PIL
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im = Image.fromarray(im)
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draw = ImageDraw.Draw(im)
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line_thickness = line_thickness or max(int(min(im.size) / 200), 2)
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draw.rectangle(box, width=line_thickness, outline=tuple(color)) # plot
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draw.rectangle(box, width=line_thickness, outline=color) # plot
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if label:
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fontsize = max(round(max(im.size) / 40), 12)
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font = ImageFont.truetype("Arial.ttf", fontsize)
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font = ImageFont.truetype("Arial.ttf", size=max(round(max(im.size) / 40), 12))
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txt_width, txt_height = font.getsize(label)
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draw.rectangle([box[0], box[1] - txt_height + 4, box[0] + txt_width, box[1]], fill=tuple(color))
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draw.rectangle([box[0], box[1] - txt_height + 4, box[0] + txt_width, box[1]], fill=color)
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draw.text((box[0], box[1] - txt_height + 1), label, fill=(255, 255, 255), font=font)
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return np.asarray(im)
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