updates
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train.py
8
train.py
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@ -122,6 +122,10 @@ def train(
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else:
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cutoff = load_darknet_weights(model, weights + 'darknet53.conv.74')
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# Remove old results
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for f in glob.glob('*_batch*.jpg') + glob.glob('results.txt'):
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os.remove(f)
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# Scheduler https://github.com/ultralytics/yolov3/issues/238
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# lf = lambda x: 1 - x / epochs # linear ramp to zero
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# lf = lambda x: 10 ** (hyp['lrf'] * x / epochs) # exp ramp
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@ -170,10 +174,6 @@ def train(
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from apex import amp
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model, optimizer = amp.initialize(model, optimizer, opt_level='O1')
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# Remove old results
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for f in glob.glob('*_batch*.jpg') + glob.glob('results.txt'):
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os.remove(f)
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# Start training
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model.hyp = hyp # attach hyperparameters to model
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model.class_weights = labels_to_class_weights(dataset.labels, nc).to(device) # attach class weights
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