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Return processed outputs from predictor (#161)

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: Laughing-q <1185102784@qq.com>
This commit is contained in:
Ayush Chaurasia
2023-01-10 00:10:44 +05:30
committed by GitHub
parent cb4801888e
commit 6e5638c128
7 changed files with 23 additions and 10 deletions
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5
ultralytics/yolo/utils/plotting.py
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@ -108,8 +108,9 @@ class Annotator:
im_gpu = im_gpu.flip(dims=[0]) # flip channel
im_gpu = im_gpu.permute(1, 2, 0).contiguous() # shape(h,w,3)
im_gpu = im_gpu * inv_alph_masks[-1] + mcs
im_mask = (im_gpu * 255).byte().cpu().numpy()
self.im[:] = im_mask if retina_masks else scale_image(im_gpu.shape, im_mask, self.im.shape)
im_mask = (im_gpu * 255)
im_mask_np = im_mask.byte().cpu().numpy()
self.im[:] = im_mask_np if retina_masks else scale_image(im_gpu.shape, im_mask_np, self.im.shape)
if self.pil:
# convert im back to PIL and update draw
self.fromarray(self.im)