optimize imports
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@ -316,7 +316,7 @@ def load_darknet_weights(self, weights, cutoff=-1):
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# Needed to write header when saving weights
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# Needed to write header when saving weights
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self.header_info = header
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self.header_info = header
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self.seen = header[3]
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self.seen = header[3] # number of images seen during training
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weights = np.fromfile(fp, dtype=np.float32) # The rest are weights
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weights = np.fromfile(fp, dtype=np.float32) # The rest are weights
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fp.close()
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fp.close()
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@ -365,7 +365,7 @@ def load_darknet_weights(self, weights, cutoff=-1):
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def save_weights(self, path, cutoff=-1):
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def save_weights(self, path, cutoff=-1):
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fp = open(path, 'wb')
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fp = open(path, 'wb')
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self.header_info[3] = self.seen
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self.header_info[3] = self.seen # number of images seen during training
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self.header_info.tofile(fp)
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self.header_info.tofile(fp)
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# Iterate through layers
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# Iterate through layers
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