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mmsegmentation/requirements/runtime.txt

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init commit
2020-07-07 20:52:19 +08:00
matplotlib
[Feature] Support ConvNext (#1216) * upload original backbone and configs * ConvNext Refactor * ConvNext Refactor * convnext customization refactor with mmseg style * convnext customization refactor with mmseg style * add ade20k_640x640.py * upload files for training * delete dist_optimizer_hook and remove layer_decay_optimizer_constructor * check max(out_indices) < num_stages * add unittest * fix lint error * use MMClassification backbone * fix bugs in base_1k * add mmcls in requirements/mminstall.txt * add mmcls in requirements/mminstall.txt * fix drop_path_rate and layer_scale_init_value * use logger.info instead of print * add mmcls in runtime.txt * fix f string && delete * add doctring in LearningRateDecayOptimizerConstructor and fix mmcls version in requirements * fix typo in LearningRateDecayOptimizerConstructor * use ConvNext models in unit test for LearningRateDecayOptimizerConstructor * add unit test * fix typo * fix typo * add layer_wise and fix redundant backbone.downsample_norm in it * fix unit test * give a ground truth lr_scale and weight_decay * upload models and readme * delete 'backbone.stem_norm' and 'backbone.downsample_norm' in get_num_layer() * fix unit test and use mmcls url * update md2yml.py and metafile * fix typo
2022-03-04 15:52:01 +08:00
mmcls>=0.20.1
init commit
2020-07-07 20:52:19 +08:00
numpy
[Fix] Update digit_version (#778) * update digit_version * add unittest * fix import
2021-08-12 14:34:02 +08:00
packaging
add metric mFscore (#509) * add mFscore and refactor the metrics return value * fix linting * some docstring and name fix
2021-05-01 02:34:57 +08:00
prettytable