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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-04-05 16:17:15 +02:00
parent 7b001d13c1
commit 65eccee4ef
1 changed files with 3 additions and 2 deletions
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train.py
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@ -76,7 +76,8 @@ def train(
cutoff = load_darknet_weights(model, weights + 'darknet53.conv.74') cutoff = load_darknet_weights(model, weights + 'darknet53.conv.74')
# Set scheduler (reduce lr at epoch 250) # Set scheduler (reduce lr at epoch 250)
scheduler = torch.optim.lr_scheduler.MultiStepLR(optimizer, milestones=[250], gamma=0.1, last_epoch=start_epoch - 1) scheduler = torch.optim.lr_scheduler.MultiStepLR(optimizer, milestones=[218, 245], gamma=0.1,
last_epoch=start_epoch - 1)
# Dataset # Dataset
dataset = LoadImagesAndLabels(train_path, img_size=img_size, augment=True) dataset = LoadImagesAndLabels(train_path, img_size=img_size, augment=True)
@ -216,7 +217,7 @@ def train(
if __name__ == '__main__': if __name__ == '__main__':
parser = argparse.ArgumentParser() parser = argparse.ArgumentParser()
parser.add_argument('--epochs', type=int, default=270, help='number of epochs') parser.add_argument('--epochs', type=int, default=273, help='number of epochs')
parser.add_argument('--batch-size', type=int, default=16, help='size of each image batch') parser.add_argument('--batch-size', type=int, default=16, help='size of each image batch')
parser.add_argument('--accumulate', type=int, default=1, help='accumulate gradient x batches before optimizing') parser.add_argument('--accumulate', type=int, default=1, help='accumulate gradient x batches before optimizing')
parser.add_argument('--cfg', type=str, default='cfg/yolov3-spp.cfg', help='cfg file path') parser.add_argument('--cfg', type=str, default='cfg/yolov3-spp.cfg', help='cfg file path')