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8.0.60 new HUB training syntax (#1753)

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Co-authored-by: Rafael Pierre <97888102+rafaelvp-db@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>
Co-authored-by: Semih Demirel <85176438+semihhdemirel@users.noreply.github.com>
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Glenn Jocher 2023-04-03 02:36:58 +02:00 • committed by GitHub
parent e7876e1ba9
commit 84948651cd
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25 changed files with 405 additions and 122 deletions
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ultralytics/yolo/utils/plotting.py
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@ -114,7 +114,7 @@ class Annotator:
self.im[:] = im_gpu.permute(1, 2, 0).contiguous().cpu().numpy() * 255
if im_gpu.device != masks.device:
im_gpu = im_gpu.to(masks.device)
colors = torch.tensor(colors, device=masks.device, dtype=torch.float32) / 255.0
colors = torch.tensor(colors, device=masks.device, dtype=torch.float32) / 255.0 # shape(n,3)
colors = colors[:, None, None] # shape(n,1,1,3)
masks = masks.unsqueeze(3) # shape(n,h,w,1)
masks_color = masks * (colors * alpha) # shape(n,h,w,3)