updates
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3
train.py
3
train.py
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@ -337,7 +337,7 @@ if __name__ == '__main__':
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parser.add_argument('--batch-size', type=int, default=32, help='batch size')
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parser.add_argument('--batch-size', type=int, default=32, help='batch size')
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parser.add_argument('--accumulate', type=int, default=2, help='number of batches to accumulate before optimizing')
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parser.add_argument('--accumulate', type=int, default=2, help='number of batches to accumulate before optimizing')
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parser.add_argument('--cfg', type=str, default='cfg/yolov3-spp.cfg', help='cfg file path')
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parser.add_argument('--cfg', type=str, default='cfg/yolov3-spp.cfg', help='cfg file path')
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parser.add_argument('--data', type=str, default='data/coco_64img.data', help='coco.data file path')
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parser.add_argument('--data', type=str, default='data/coco.data', help='coco.data file path')
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parser.add_argument('--multi-scale', action='store_true', help='train at (1/1.5)x - 1.5x sizes')
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parser.add_argument('--multi-scale', action='store_true', help='train at (1/1.5)x - 1.5x sizes')
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parser.add_argument('--img-size', type=int, default=416, help='inference size (pixels)')
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parser.add_argument('--img-size', type=int, default=416, help='inference size (pixels)')
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parser.add_argument('--rect', action='store_true', help='rectangular training')
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parser.add_argument('--rect', action='store_true', help='rectangular training')
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@ -350,7 +350,6 @@ if __name__ == '__main__':
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parser.add_argument('--evolve', action='store_true', help='evolve hyperparameters')
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parser.add_argument('--evolve', action='store_true', help='evolve hyperparameters')
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parser.add_argument('--bucket', type=str, default='', help='gsutil bucket')
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parser.add_argument('--bucket', type=str, default='', help='gsutil bucket')
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parser.add_argument('--img-weights', action='store_true', help='select training images by weight')
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parser.add_argument('--img-weights', action='store_true', help='select training images by weight')
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opt = parser.parse_args()
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opt = parser.parse_args()
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print(opt)
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print(opt)
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