mmsegmentation

Commit Graph

Author	SHA1	Message	Date
谢昕辰	a3a144a361	[Refactor] Update config names (#1964 ) * rename ann configs * update ann yml * update * update * update * update * update * update ann readme * update * update deeplabv3 * update readme * fix yml * fix beit	2022-08-26 18:48:56 +08:00
xiexinch	28a3d89b7a	Update pre-commit yaml and md2yml.py	2022-07-05 15:58:48 +08:00
MengzhangLI	2c4bcbd7c6	[Fix] Remove _delete_=True in optimizer	2022-06-20 17:53:36 +08:00
zhengmiao	b23982d1b3	[Refactory] Refactory BaseSegmentor based BaseModel	2022-06-19 06:32:09 +00:00
limengzhang.vendor	4062e90206	[Fix] Remove OptimizerHook and Add it in OptimWrapper	2022-06-16 13:24:19 +00:00
limengzhang.vendor	34711422ac	[Fix] Fix batch size of val_dataloader to 1.	2022-06-12 09:10:26 +00:00
linfangjian.vendor	dd9c411335	[Refactor] Refactor decode_head and segmentors and add preprocess_cfg	2022-06-10 14:02:40 +00:00
limengzhang.vendor	fcb9cb4571	[Refactor] Refactor lr_config	2022-06-08 09:25:00 +00:00
limengzhang.vendor	c84a58b7b5	[Refactor] Refacor default_hooks and train & val & test loops in configs	2022-06-08 06:28:35 +00:00
limengzhang.vendor	5b9c29f992	[Refactor] Refactor Dataset and its Transform Config files	2022-05-31 14:28:42 +00:00
MengzhangLI	c1d2ea345b	[Docs] Change ConvNeXt journal infomation (#1350 )	2022-03-05 10:48:25 +08:00
MengzhangLI	67e0f9dd15	Bump v0.22.0 (#1347 ) * change version to v0.22.0 * change version to v0.22.0 * add mmcls version in get_started.md * add mmcls installation and move PR1299 into enhancement * add mmcls installation and move PR1299 into enhancement * remove MMCLS and make mmcv <=1.5.0 version in get_started.md * fix typo	2022-03-04 22:17:29 +08:00
MengzhangLI	befdc93dc3	[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

13 Commits (2d38bc8554b31cf2f3961ae3ddb65d23033e6aec)