cmd.txt

**[create your virtual environment]
conda create -n dense python=3.8
conda activate dense

pip install torch==1.13.1+cu117 torchvision==0.14.1+cu117 torchaudio==0.13.1 --extra-index-url https://download.pytorch.org/whl/cu117
pip install -U openmim
mim install mmcv-full
pip install mmsegmentation==0.30.0

pip install timm
pip install regex
pip install ftfy
pip install fvcore


**[download pretrain weight]
cd pretrained
bash download_clip_models.sh
cd ..


**[dataset download]
download ADE20k dataset from data.csail.mit.edu/places/ADEchallenge/ADEChallengeData2016.zip

The data structure should be as follows

├──YOUR_LOCAL_PATH   
│   ├── ade
│   │   ├── ADEChallengeData2016
│   │   │   ├── annotations
│   │   │   │   ├── training
│   │   │   │   ├── validation
│   │   │   ├── images
│   │   │   │   ├── training
│   │   │   │   ├── validation


**[quick implementation]
change the data_root in configs/_base_/datasets/ade20k_clip.py
bash dist_train.sh configs/denseclip_fpn_res50_512x512_80k.py 1