Pysot demo.py载入模型报错 “Missing key(s) in state_dict”的解决方案

参考网址：Missing key(s) in state_dict how do i fix this problem? · Discussion #320 · STVIR/pysot · GitHub

def remove_prefix(state_dict, prefix):
    ''' Old style model is stored with all names of parameters
    share common prefix 'module.' '''
    logger.info('remove prefix \'{}\''.format(prefix))
    f = lambda x: x.split(prefix, 1)[-1] if x.startswith(prefix) else x
    return {f(key): value for key, value in state_dict.items()}

def check_keys(model, pretrained_state_dict):
    ckpt_keys = set(pretrained_state_dict.keys())
    model_keys = set(model.state_dict().keys())
    used_pretrained_keys = model_keys & ckpt_keys
    unused_pretrained_keys = ckpt_keys - model_keys
    missing_keys = model_keys - ckpt_keys
    # filter 'num_batches_tracked'
    missing_keys = [x for x in missing_keys
                    if not x.endswith('num_batches_tracked')]
    if len(missing_keys) > 0:
        logger.info('[Warning] missing keys: {}'.format(missing_keys))
        logger.info('missing keys:{}'.format(len(missing_keys)))
    if len(unused_pretrained_keys) > 0:
        logger.info('[Warning] unused_pretrained_keys: {}'.format(
            unused_pretrained_keys))
        logger.info('unused checkpoint keys:{}'.format(
            len(unused_pretrained_keys)))
    logger.info('used keys:{}'.format(len(used_pretrained_keys)))
    assert len(used_pretrained_keys) > 0, \
        'load NONE from pretrained checkpoint'
    return True


# load model 加载自己训练的模型
ckpt = torch.load(args.snapshot, map_location=lambda storage, loc: storage.cpu())
ckpt_model_dict = remove_prefix(ckpt['state_dict'], 'module.')
check_keys(model, ckpt_model_dict)
model.load_state_dict(ckpt_model_dict, strict=False)

#load model  加载作者给出的模型 model.pth
model.load_state_dict(torch.load(args.snapshot,map_location=lambda storage, loc: storage.cpu()))