Function make_transforms_for_crowdhuman

tutorials/motr/joint.py:233–263

(image_set, args=None)

def make_transforms_for_crowdhuman(image_set, args=None):

    normalize = T.MotCompose([
        T.MotToTensor(),
        T.MotNormalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])
    ])
    scales = [608, 640, 672, 704, 736, 768, 800, 832, 864, 896, 928, 960, 992]

    if image_set == 'train':
        return T.MotCompose([
            T.MotRandomHorizontalFlip(),
            T.FixedMotRandomShift(bs=1),
            T.MotRandomSelect(
                T.MotRandomResize(scales, max_size=1536),
                T.MotCompose([
                    T.MotRandomResize([400, 500, 600]),
                    T.FixedMotRandomCrop(384, 600),
                    T.MotRandomResize(scales, max_size=1536),
                ])
            ),
            normalize,

        ])

    if image_set == 'val':
        return T.MotCompose([
            T.MotRandomResize([800], max_size=1333),
            normalize,
        ])

    raise ValueError(f'unknown {image_set}')


def build_dataset2transform(args, image_set):