befdc93dc3
* 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 |
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| .. | ||
| log_collector | ||
| batch_test_list.py | ||
| batch_train_list.txt | ||
| benchmark_evaluation.sh | ||
| benchmark_inference.py | ||
| benchmark_train.sh | ||
| check_urls.py | ||
| gather_benchmark_evaluation_results.py | ||
| gather_benchmark_train_results.py | ||
| gather_models.py | ||
| generate_benchmark_evaluation_script.py | ||
| generate_benchmark_train_script.py | ||
| md2yml.py | ||
| upload_modelzoo.py | ||