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plot_one_box() default color=(128, 128, 128) #3240

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May 19, 2021
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12 changes: 5 additions & 7 deletions utils/plots.py
Original file line number Diff line number Diff line change
Expand Up @@ -68,11 +68,10 @@ def butter_lowpass(cutoff, fs, order):
return filtfilt(b, a, data) # forward-backward filter


def plot_one_box(x, im, color=None, label=None, line_thickness=3):
def plot_one_box(x, im, color=(128, 128, 128), label=None, line_thickness=3):
# Plots one bounding box on image 'im' using OpenCV
assert im.data.contiguous, 'Image not contiguous. Apply np.ascontiguousarray(im) to plot_on_box() input image.'
tl = line_thickness or round(0.002 * (im.shape[0] + im.shape[1]) / 2) + 1 # line/font thickness
color = color or [random.randint(0, 255) for _ in range(3)]
c1, c2 = (int(x[0]), int(x[1])), (int(x[2]), int(x[3]))
cv2.rectangle(im, c1, c2, color, thickness=tl, lineType=cv2.LINE_AA)
if label:
Expand All @@ -83,17 +82,16 @@ def plot_one_box(x, im, color=None, label=None, line_thickness=3):
cv2.putText(im, label, (c1[0], c1[1] - 2), 0, tl / 3, [225, 255, 255], thickness=tf, lineType=cv2.LINE_AA)


def plot_one_box_PIL(box, im, color=None, label=None, line_thickness=None):
def plot_one_box_PIL(box, im, color=(128, 128, 128), label=None, line_thickness=None):
# Plots one bounding box on image 'im' using PIL
im = Image.fromarray(im)
draw = ImageDraw.Draw(im)
line_thickness = line_thickness or max(int(min(im.size) / 200), 2)
draw.rectangle(box, width=line_thickness, outline=tuple(color)) # plot
draw.rectangle(box, width=line_thickness, outline=color) # plot
if label:
fontsize = max(round(max(im.size) / 40), 12)
font = ImageFont.truetype("Arial.ttf", fontsize)
font = ImageFont.truetype("Arial.ttf", size=max(round(max(im.size) / 40), 12))
txt_width, txt_height = font.getsize(label)
draw.rectangle([box[0], box[1] - txt_height + 4, box[0] + txt_width, box[1]], fill=tuple(color))
draw.rectangle([box[0], box[1] - txt_height + 4, box[0] + txt_width, box[1]], fill=color)
draw.text((box[0], box[1] - txt_height + 1), label, fill=(255, 255, 255), font=font)
return np.asarray(im)

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