* [Feature] Add SegVisualizer
* change name to visualizer_example
* fix inference api
* fix video demo and refine inference api
* fix
* mmseg compose
* set default device to cuda:0
* fix import
* update dir
* rm engine/visualizer ut
* refine inference api and docs
* rename
Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
* 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
* replace the unavailable pspnet model download address with the updated address
* replace the unavailable pspnet model download address with the updated address
* Add support for Pascal Context 59 classes (#459)
* Create PascalContextDataset59 class in mmseg/datasets/pascal_context.py;
* Set reduce_zero_label=True for train_pipeline and PascalContextDataset59;
* Add some configs for Pascal-Context 59 classes training and testing;
* Try to solve the problem about "fence(IoU)=nan grass(IoU)=0";
* Continue(1): Try to solve the problem about "fence(IoU)=nan grass(IoU)=0";
* ignore files and folders named tempxxx;
* Continue(2): Try to solve the problem about "fence(IoU)=nan grass(IoU)=0";
* Modify the calculation of IoU;
* Modify the CLASSES order of PascalContextDataset;
* Add "fcn", "deeplabv3", "deeplabv3+", "pspnet" config file for model training based on PascalContextDataset59;
Add some ignore items in ".gitignore";
* fix the bug "test_cfg specified in both outer field and model field " of pspnet config file;
* * Clean unnecessary codes;
* Add weighs link, config link, log link and evaluation results about PascalContextDataset59 in README.md
* Add command line argument: "-p | --port", this arg can change the transmit port when you transmit data to distributed machine.
* * Remove rebundant config files;
* Remove "-p|--port" command argument;
Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com>
Miao Zheng
VoyagerXvoyagerx
谢昕辰
MengzhangLI
zhengmiao
jere357
Andrey
Nemo Xiong
andife
jyh
irvingzhang0512
VoyagerXVoyagerXisavailable
Pedro Machado
Junjun2016
sennnnn
Jerry Jiarui XU
David de la Iglesia Castro