updates
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train.py
2
train.py
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@ -221,7 +221,7 @@ def train():
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# Prebias
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# Prebias
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if prebias:
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if prebias:
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if epoch < 20: # prebias
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if epoch < 1: # prebias
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ps = 0.1, 0.9 # prebias settings (lr=0.1, momentum=0.9)
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ps = 0.1, 0.9 # prebias settings (lr=0.1, momentum=0.9)
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else: # normal training
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else: # normal training
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ps = hyp['lr0'], hyp['momentum'] # normal training settings
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ps = hyp['lr0'], hyp['momentum'] # normal training settings
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@ -593,10 +593,10 @@ def load_mosaic(self, index):
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# Augment
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# Augment
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# img4 = img4[s // 2: int(s * 1.5), s // 2:int(s * 1.5)] # center crop (WARNING, requires box pruning)
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# img4 = img4[s // 2: int(s * 1.5), s // 2:int(s * 1.5)] # center crop (WARNING, requires box pruning)
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img4, labels4 = random_affine(img4, labels4,
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img4, labels4 = random_affine(img4, labels4,
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degrees=self.hyp['degrees'] * 0,
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degrees=self.hyp['degrees'] * 1,
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translate=self.hyp['translate'] * 0,
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translate=self.hyp['translate'] * 1,
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scale=self.hyp['scale'] * 0,
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scale=self.hyp['scale'] * 1,
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shear=self.hyp['shear'] * 0,
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shear=self.hyp['shear'] * 1,
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border=-s // 2) # border to remove
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border=-s // 2) # border to remove
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return img4, labels4
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return img4, labels4
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