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PyTorch Hub crops = results.crop() return values #3282

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merged 2 commits into from
May 23, 2021
Merged

PyTorch Hub crops = results.crop() return values #3282

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56c0b4f
Changing save_one_box
yeric1789 May 21, 2021
55db42c
PEP8 and single line BGR
glenn-jocher May 23, 2021
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10 changes: 6 additions & 4 deletions utils/general.py
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Original file line number Diff line number Diff line change
Expand Up @@ -657,17 +657,19 @@ def apply_classifier(x, model, img, im0):
return x


def save_one_box(xyxy, im, file='image.jpg', gain=1.02, pad=10, square=False, BGR=False):
# Save an image crop as {file} with crop size multiplied by {gain} and padded by {pad} pixels
def save_one_box(xyxy, im, file='image.jpg', gain=1.02, pad=10, square=False, BGR=False, save=True):
# Save image crop as {file} with crop size multiple {gain} and {pad} pixels. Save and/or return crop
xyxy = torch.tensor(xyxy).view(-1, 4)
b = xyxy2xywh(xyxy) # boxes
if square:
b[:, 2:] = b[:, 2:].max(1)[0].unsqueeze(1) # attempt rectangle to square
b[:, 2:] = b[:, 2:] * gain + pad # box wh * gain + pad
xyxy = xywh2xyxy(b).long()
clip_coords(xyxy, im.shape)
crop = im[int(xyxy[0, 1]):int(xyxy[0, 3]), int(xyxy[0, 0]):int(xyxy[0, 2])]
cv2.imwrite(str(increment_path(file, mkdir=True).with_suffix('.jpg')), crop if BGR else crop[..., ::-1])
crop = im[int(xyxy[0, 1]):int(xyxy[0, 3]), int(xyxy[0, 0]):int(xyxy[0, 2]), ::(1 if BGR else -1)]
if save:
cv2.imwrite(str(increment_path(file, mkdir=True).with_suffix('.jpg')), crop)
return crop


def increment_path(path, exist_ok=False, sep='', mkdir=False):
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