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You are reading the documentation for MMSelfSup 0.x, which will soon be deprecated by the end of 2022. We recommend you upgrade to MMSelfSup 1.0.0rc versions to enjoy fruitful new features and better performance brought by OpenMMLab 2.0. Check out the changelog, code and documentation of MMSelfSup 1.0.0rc for more details.

Source code for mmselfsup.utils.misc

# Copyright (c) OpenMMLab. All rights reserved.
import glob
import os.path as osp
import warnings

import mmcv
import numpy as np


def tensor2imgs(tensor, mean=(0, 0, 0), std=(1, 1, 1), to_rgb=True):
    assert tensor.dim() == 4
    num_imgs = tensor.size(0)
    mean = np.array(mean, dtype=np.float32)
    std = np.array(std, dtype=np.float32)
    imgs = []
    for img_id in range(num_imgs):
        img = tensor[img_id, ...].cpu().numpy().transpose(1, 2, 0)
        img = mmcv.imdenormalize(
            img, mean, std, to_bgr=to_rgb).astype(np.uint8)
        imgs.append(np.ascontiguousarray(img))
    return imgs


[docs]def find_latest_checkpoint(path, suffix='pth'): """Find the latest checkpoint from the working directory. Args: path(str): The path to find checkpoints. suffix(str): File extension. Defaults to pth. Returns: latest_path(str | None): File path of the latest checkpoint. References: .. [1] https://github.com/microsoft/SoftTeacher /blob/main/ssod/utils/patch.py .. [2] https://github.com/open-mmlab/mmdetection /blob/master/mmdet/utils/misc.py#L7 """ if not osp.exists(path): warnings.warn('The path of checkpoints does not exist.') return None if osp.exists(osp.join(path, f'latest.{suffix}')): return osp.join(path, f'latest.{suffix}') checkpoints = glob.glob(osp.join(path, f'*.{suffix}')) if len(checkpoints) == 0: warnings.warn('There are no checkpoints in the path.') return None latest = -1 latest_path = None for checkpoint in checkpoints: count = int(osp.basename(checkpoint).split('_')[-1].split('.')[0]) if count > latest: latest = count latest_path = checkpoint return latest_path
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