* fixed a couple of issues that made the notebook not work in colab
i fixed a couple of issues that made the notebook not work in colab
1. it downloaded incompatible versions of pytorch and cuda + the conda command doesnt do anything in colab since there is no conda in colab idk w y wanna do about that - The commit of 2 days ago only changes the conda command version and not the pip command which is used while isntaling mcvv
2. /demo.png doesnt exist in colab so i added a wget to download some cityscapes photo from the internet and run inference on that photo
3. i think it would be optimal to have 2 notebooks. 1 for running locally when cloning your git branch and one to run in google colab.
* Update demo/MMSegmentation_Tutorial.ipynb
* Update demo/MMSegmentation_Tutorial.ipynb
* Update demo/MMSegmentation_Tutorial.ipynb
* Update demo/MMSegmentation_Tutorial.ipynb
* Update demo/MMSegmentation_Tutorial.ipynb
Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>
* update pytorch and cudatoolkit versions for colab
Previous version was throwing an error after calling for mmseg.apis import (line 147) due to incompatible cudatoolkit version in colab.
* Update description about versions used
* [Feature] Provide URLs of Swin Transformer pretrained models
* [Feature] Add multi machine `dist_train`. (#1383)
* Add training startup documentation
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* fix
* delete pretrained=None in all six config files
* [Fix] make arguments effective in tools/confusion_matrix.py (#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* colab notebook: fix outdated link for doc (#1392)
* colab notebook: fix outdated link for doc
Fixed outdated link for how to customize your datasets by reorganizing data.
* fix lint
* fix typo (#1405)
* [Fix] Fix windows-style path in `md2yml.py` in Windows pre-commit. (#1407)
* test
* avoid windows path
* [Fix] fix the config name style description (#1414)
Co-authored-by: FangjianLin <93248678+linfangjian01@users.noreply.github.com>
Co-authored-by: Cody Wong <mob5566@gmail.com>
Co-authored-by: Nemo Xiong <xiongnemo@126.com>
Co-authored-by: Xiangxu-0103 <xuxiang0103@gmail.com>
Co-authored-by: Rockey <41846794+RockeyCoss@users.noreply.github.com>
* Update Dockerfile
Compatible with the latest version of MMCV and PyTorch for compatibility with Python3.10
* Update Dockerfile for serve
Compatible with the latest version of MMCV and PyTorch for compatibility with Python3.10
* Updating to the last version of supported Python
* Update Dockerfile
* Update get_started.md
* Update docs/zh_cn/get_started.md
Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>
Co-authored-by: Miao Zheng <76149310+MeowZheng@users.noreply.github.com>
* [Fix] Add avg_non_ignore in cross entropy loss
* [Fix] Add avg_non_ignore in cross entropy loss
* add docstring
* fix ut
* fix docstring and comments
* fix
* fix bce
* fix avg_factor in BCE and add more ut
* add avg_non_ignore
* add more ut
* fix part of ut
* fix part of ut
* test avg_non_ignore would not affect ce/bce when reduction none/sum
* test avg_non_ignore would not affect ce/bce when reduction none/sum/mean
* re-organize ut
* re-organize ut
* re-organize ut
* re-organize hardcode case
* fix parts of comments
* fix another parts of comments
* fix
* 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
* 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>
* Support #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>
* 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
* [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
* 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
* 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
jere357
Miao Zheng
Wang Xinjiang
FangjianLin
MengzhangLI
Rockey
panfeng-hover
Pan Zhang
Yzichen
Andrey
AmirMasoud Nourollah
kahkeng
jiangyitong
CCODING
Xiangxu-0103
Nemo Xiong
Cody Wong
wangliujun
andife