predict.py 文件源码

def main():
    parser = argparse.ArgumentParser()
    parser.add_argument('dataset', nargs='?',
                        choices=['pascal_voc', 'camvid', 'kitti', 'cityscapes'])
    parser.add_argument('input_path', nargs='?', default='',
                        help='Required path to input image')
    parser.add_argument('-o', '--output_path', default=None)
    parser.add_argument('--gpu', type=int, default=-1,
                        help='GPU ID to run CAFFE. '
                             'If -1 (default), CPU is used')
    args = parser.parse_args()
    if args.input_path == '':
        raise IOError('Error: No path to input image')
    if not exists(args.input_path):
        raise IOError("Error: Can't find input image " + args.input_path)
    if args.gpu >= 0:
        caffe.set_mode_gpu()
        caffe.set_device(args.gpu)
        print('Using GPU ', args.gpu)
    else:
        caffe.set_mode_cpu()
        print('Using CPU')
    if args.output_path is None:
        args.output_path = '{}_{}.png'.format(
                splitext(args.input_path)[0], args.dataset)
    predict(args.dataset, args.input_path, args.output_path)