return get_yolo_layers()
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@ -224,7 +224,7 @@ class Darknet(nn.Module):
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self.module_defs = parse_model_cfg(cfg)
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self.module_list, self.routs = create_modules(self.module_defs, img_size)
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self.yolo_layers = torch_utils.find_modules(self, mclass=YOLOLayer)
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self.yolo_layers = get_yolo_layers(self)
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# torch_utils.initialize_weights(self)
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# Darknet Header https://github.com/AlexeyAB/darknet/issues/2914#issuecomment-496675346
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@ -333,6 +333,10 @@ class Darknet(nn.Module):
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torch_utils.model_info(self, verbose)
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def get_yolo_layers(model):
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return [i for i, m in enumerate(model.module_list) if m.__class__.__name__ == 'YOLOLayer'] # [89, 101, 113]
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def load_darknet_weights(self, weights, cutoff=-1):
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# Parses and loads the weights stored in 'weights'
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