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You are reading the documentation for MMClassification 0.x, which will soon be deprecated at the end of 2022. We recommend you upgrade to MMClassification 1.0 to enjoy fruitful new features and better performance brought by OpenMMLab 2.0. Check the installation tutorial, migration tutorial and changelog for more details.

Miscellaneous

Verify Dataset

tools/misc/verify_dataset.py can verify dataset, check whether there are broken pictures in the given dataset.

python tools/misc/verify_dataset.py \
    ${CONFIG} \
    [--out-path ${OUT-PATH}] \
    [--phase ${PHASE}] \
    [--num-process ${NUM-PROCESS}]
    [--cfg-options ${CFG_OPTIONS}]

Description of all arguments:

  • config : The path of the model config file.

  • --out-path : The path to save the verification result, if not set, defaults to ‘brokenfiles.log’.

  • --phase : Phase of dataset to verify, accept “train” “test” and “val”, if not set, defaults to “train”.

  • --num-process : number of process to use, if not set, defaults to 1.

  • --cfg-options: If specified, the key-value pair config will be merged into the config file, for more details please refer to Tutorial 1: Learn about Configs

Examples:

python tools/misc/verify_dataset.py configs/t2t_vit/t2t-vit-t-14_8xb64_in1k.py --out-path broken_imgs.log --phase val --num-process 8

FAQs

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