updates
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@ -616,6 +616,7 @@ def plot_images(imgs, targets, paths=None, fname='images.jpg'):
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# Plots training images overlaid with targets
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# Plots training images overlaid with targets
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imgs = imgs.cpu().numpy()
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imgs = imgs.cpu().numpy()
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targets = targets.cpu().numpy()
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targets = targets.cpu().numpy()
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# targets = targets[targets[:, 1] == 21] # plot only one class
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fig = plt.figure(figsize=(10, 10))
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fig = plt.figure(figsize=(10, 10))
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bs, _, h, w = imgs.shape # batch size, _, height, width
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bs, _, h, w = imgs.shape # batch size, _, height, width
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@ -626,7 +627,7 @@ def plot_images(imgs, targets, paths=None, fname='images.jpg'):
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boxes[[0, 2]] *= w
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boxes[[0, 2]] *= w
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boxes[[1, 3]] *= h
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boxes[[1, 3]] *= h
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plt.subplot(ns, ns, i + 1).imshow(imgs[i].transpose(1, 2, 0))
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plt.subplot(ns, ns, i + 1).imshow(imgs[i].transpose(1, 2, 0))
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plt.plot(boxes[[0, 2, 2, 0, 0]], boxes[[1, 1, 3, 3, 1]], '.-')
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plt.plot(boxes[[0, 2, 2, 0, 0]], boxes[[1, 1, 3, 3, 1]], 'w.-')
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plt.axis('off')
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plt.axis('off')
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if paths is not None:
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if paths is not None:
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s = Path(paths[i]).name
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s = Path(paths[i]).name
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