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Unified hub and detect.py box and labels plotting #2243

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Feb 19, 2021
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Unified hub and detect.py box and labels plotting #2243

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add class and confidence on images
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@kinoute
kinoute committed Feb 18, 2021
commit e2d1b0bbe6cbaacff93927d5d0a68c20294e54a9
8 changes: 4 additions & 4 deletions models/common.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@

from utils.datasets import letterbox
from utils.general import non_max_suppression, make_divisible, scale_coords, xyxy2xywh
from utils.plots import color_list
from utils.plots import color_list, plot_one_box


def autopad(k, p=None): # kernel, padding
Expand Down Expand Up @@ -253,10 +253,10 @@ def display(self, pprint=False, show=False, save=False, render=False, save_dir='
n = (pred[:, -1] == c).sum() # detections per class
str += f"{n} {self.names[int(c)]}{'s' * (n > 1)}, " # add to string
if show or save or render:
img = Image.fromarray(img.astype(np.uint8)) if isinstance(img, np.ndarray) else img # from np
for *box, conf, cls in pred: # xyxy, confidence, class
# str += '%s %.2f, ' % (names[int(cls)], conf) # label
ImageDraw.Draw(img).rectangle(box, width=4, outline=colors[int(cls) % 10]) # plot
label = f'{self.names[int(cls)]} {conf:.2f}'
plot_one_box(box, img, label=label, color=colors[int(cls) % 10])
img = Image.fromarray(img.astype(np.uint8)) if isinstance(img, np.ndarray) else img # from np
if pprint:
print(str.rstrip(', '))
if show:
Expand Down