updates
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train.py
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train.py
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@ -182,7 +182,7 @@ if __name__ == '__main__':
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parser.add_argument('--epochs', type=int, default=100, help='number of epochs')
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parser.add_argument('--epochs', type=int, default=100, help='number of epochs')
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parser.add_argument('--batch-size', type=int, default=16, help='size of each image batch')
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parser.add_argument('--batch-size', type=int, default=16, help='size of each image batch')
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parser.add_argument('--accumulated-batches', type=int, default=1, help='number of batches before optimizer step')
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parser.add_argument('--accumulated-batches', type=int, default=1, help='number of batches before optimizer step')
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parser.add_argument('--cfg', type=str, default='cfg/yolov3-tiny.cfg', help='cfg file path')
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parser.add_argument('--cfg', type=str, default='cfg/yolov3.cfg', help='cfg file path')
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parser.add_argument('--data-cfg', type=str, default='cfg/coco.data', help='coco.data file path')
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parser.add_argument('--data-cfg', type=str, default='cfg/coco.data', help='coco.data file path')
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parser.add_argument('--multi-scale', action='store_true', help='random image sizes per batch 320 - 608')
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parser.add_argument('--multi-scale', action='store_true', help='random image sizes per batch 320 - 608')
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parser.add_argument('--img-size', type=int, default=32 * 13, help='pixels')
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parser.add_argument('--img-size', type=int, default=32 * 13, help='pixels')
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