updates
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@ -333,11 +333,10 @@ def compute_loss(p, targets, model, giou_loss=True): # predictions, targets, mo
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def build_targets(model, targets):
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# targets = [image, class, x, y, w, h]
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iou_thres = model.hyp['iou_t'] # hyperparameter
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multi_gpu = type(model) in (nn.parallel.DataParallel, nn.parallel.DistributedDataParallel)
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nt = len(targets)
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txy, twh, tcls, tbox, indices, av = [], [], [], [], [], []
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multi_gpu = type(model) in (nn.parallel.DataParallel, nn.parallel.DistributedDataParallel)
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for i in model.yolo_layers:
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# get number of grid points and anchor vec for this yolo layer
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if multi_gpu:
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@ -364,7 +363,7 @@ def build_targets(model, targets):
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# reject anchors below iou_thres (OPTIONAL, increases P, lowers R)
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reject = True
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if reject:
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j = iou > iou_thres
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j = iou > model.hyp['iou_t'] # iou threshold hyperparameter
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t, a, gwh = t[j], a[j], gwh[j]
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# Indices
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