updates
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@ -840,13 +840,13 @@ def apply_classifier(x, model, img, im0):
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d[:, :4] = xywh2xyxy(b).long()
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# Rescale boxes from img_size to im0 size
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scale_coords(img.shape[2:], d[:, :4], im0.shape)
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scale_coords(img.shape[2:], d[:, :4], im0[i].shape)
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# Classes
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pred_cls1 = d[:, 6].long()
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pred_cls1 = d[:, 5].long()
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ims = []
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for j, a in enumerate(d): # per item
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cutout = im0[int(a[1]):int(a[3]), int(a[0]):int(a[2])]
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cutout = im0[i][int(a[1]):int(a[3]), int(a[0]):int(a[2])]
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im = cv2.resize(cutout, (224, 224)) # BGR
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# cv2.imwrite('test%i.jpg' % j, cutout)
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