-
Notifications
You must be signed in to change notification settings - Fork 2.6k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Upgrade pre commit hooks #2153
Closed
Closed
Upgrade pre commit hooks #2153
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
…mlab#1161) * fix export onnx inference difference type Cast error * fix export onnx inference difference type Cast error. * use yapf format * use same device type with pairwise_weight
…ze bigger than slide window (open-mmlab#1318) * [Feature] add setr_resize * fix a bug * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix
* generate and plot confusion matrix * fix typo * add usage and examples for confusion matrix * deal with nan values(pick pr#7147 mmdet) * fix md format
* 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
* 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
open-mmlab#1336) * [Fix] Fix the bug that when all pixels in an image is ignored, the accuracy calculation raises ZeroDivisionError * use eps * all close * add ignore test * add eps
* knet first commit * fix import error in knet * remove kernel update head from decoder head * [Feature] Add kenerl updation for some decoder heads. * [Feature] Add kenerl updation for some decoder heads. * directly use forward_feature && modify other 3 decoder heads * remover kernel_update attr * delete unnecessary variables in forward function * delete kernel update function * delete kernel update function * delete kernel_generate_head * add unit test & comments in knet.py * add copyright to fix lint error * modify config names of knet * rename swin-l 640 * upload models&logs and refactor knet_head.py * modify docstrings and add some ut * add url, modify docstring and add loss ut * modify docstrings
* [Feature] add nlc2nchw2nlc and nchw2nlc2nchw * add example * add test, add **kwargs to make it more universal
* Update get_flops.py argparse.ArgumentParser(description='Get the FLOPs of a segmentor') * Update get_flops.py
…en-mmlab#1376) * Support open-mmlab#1375: add demo/image_demo.py support for STARE * Update mmseg/core/evaluation/class_names.py Co-authored-by: MengzhangLI <mcmong@pku.edu.cn> Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
* Add training startup documentation * fix * fix * fix * fix * fix * fix * fix * fix * fix
…ab#1401) * add an argument for customizing `title' of the output figure * fix `color_theme' arguments not passing to plot function Signed-off-by: code14 <mob5566@gmail.com>
* colab notebook: fix outdated link for doc Fixed outdated link for how to customize your datasets by reorganizing data. * fix lint
…pen-mmlab#1407) * test * avoid windows path
* [Docs] add faq document * Update docs/en/faq.md Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn> * Update docs/zh_cn/faq.md Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn> * modify readme * modify index.rst Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
* support random seed for distributed sampler * move mmseg/utils/dist_util.py to mmseg/core/utils/dist_util.py * move mmseg/utils/dist_util.py to mmseg/core/utils/dist_util.py * change dist sampler * change dist sampler * fix docstring in sync_random_seed
…#1402) * [Feature] Support file_client in dataset initialization * docstring * revise osp.exist
* [Feature] Add BEiT backbone * fix * fix * fix * fix * add readme * fix * fix * fix * fix * fix * add link * fix memory * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix test_beit.py * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix
* inference, train_test tutorial * fix * add --work-dir
* [Fix] Fix several config file errors in 2.0 * change _base_ config file name in configs
* [WIP] Refine documentation * get started done * config refine * train_test * refine user guides * add contribution * add contribution * refine visualization * advanced tutorial * advanced guides * tricks * refine zh doc * refactor changelog
* [Fix] README for mmseg 1.x * typo * link and refine
* Bump 1.0.0rc0 * rephase * rephase
* [CI] Fix CI * fix wrong command * remove mmcv * fix lint error * add pytorch install * fix pytorch installation * fix mmengine error * fix mmcv installation in pr_stage * fix docstring coverage in lint and delete cu102 in pr_stage windows * fix lint.yml and reset test.yml * ignore some ut in build_windows of pr_stage * test merge stage test * fix mmseg dependencies in pr_stage_test.yml * delete redundant lines in pr_stage and fix mmseg dependencies in mr_stage * fix error in merge_stage * delete python -m in merge_stage * fix error in merge_stage * let mmcv installation before mmengine * fix error of mmcv not found * fix ut error in merge)stage_test.yml * fix build_windows ut in metge_stage * fix error * fix windows error of merge_stag * Update .github/workflows/merge_stage_test.yml * Update .github/workflows/merge_stage_test.yml * Update .github/workflows/merge_stage_test.yml * fix error * delete skip timm ut * add requitements/optinal.txt in test.yml * Update .github/workflows/merge_stage_test.yml Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>
* [Doc] Update Data Preparation and Visualization doc * upload visualization figure example * fix * fix * delete demo image * remove segvisualizer * fix * fix * fix
* [Refactor]Resume do not specify ckpt * add default false value
* [Docs] Add Overview * comments * refine * refine
* add pyupgrade hook * run pyupgrade precommit hook
…pen-mmlab#2090) * [Enhancement]Add `out_file` in add_datasample to for save vis image directly * comments * ut
* add out_channels * fix forward * add decode_head ut * add segmentor ut * refine postprocess * fix
* develop segmentor and remove custom optim * update segmentor example * add data preprocessor * refine intro
* [Doc] Add Data Structure chinese doc * Update docs/zh_cn/advanced_guides/structures.md * Update docs/zh_cn/advanced_guides/structures.md Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>
* [WIP] Fix MMSegmentation colab demo * wip * fix * revise config * seg branch * colab link * engine install * demo image * remove inference * fix inference pipeline * typo
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
related pr: open-mmlab/mmengine#576