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#!/bin/bash
### Install labelme
sudo apt install python3-pyqt5 -y
sudo pip3 install labelme
### Install required
pip3 install --user torch==1.10.1+cu111 torchvision==0.11.2+cu111 torchaudio===0.10.1 -f https://download.pytorch.org/whl/torch_stable.html
pip3 install cython pyyaml==5.3
pip3 install -U 'git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI'
pip3 install jupyter
pip3 install opencv-python
pip3 install -U fvcore
pip3 install nbclient==0.5.3 nbconvert==6.4.4 nbformat==5.3.0
pip3 install importlib-metadata==4.8.3 markdown==3.2
pip3 install scikit-image matplotlib imageio
pip3 install black isort flake8 flake8-bugbear flake8-comprehensions
pip3 install pickle5==0.0.11
pip3 install scikit-learn==0.22.2
pip3 install pandas
pip3 install h5py
pip3 install structlog
pip3 install baal==1.3.2 pytorch-lightning==1.5.10
pip3 install transformers
pip3 install datasets
pip3 install onnx==1.4.1
pip3 install xmltodict
pip3 install seaborn
pip3 install statsmodels
pip3 install cerberus
pip3 install darwin-py
pip3 install pyyaml numpy torch
pip3 install opencv-python pip install opencv-contrib-python
pip3 install tqdm cerberus fvcore torchvision
pip3 install pycocotools==2.0.2
pip3 install detectron2==0.1.3 -f https://dl.fbaipublicfiles.com/detectron2/wheels/cu101/torch1.5/index.html
pip3 install colorama
### Fix baal bug
sed -i \
"s@from structlog.dev import ConsoleRenderer, _has_colorama@from structlog.dev import ConsoleRenderer\ntry:\n import colorama\n _has_colorama = True\nexcept ImportError:\n _has_colorama = False@g" \
~/.local/lib/python3.8/site-packages/baal/utils/log_configuration.py
### Install maskal
# mkdir -p ~/lib && cd ~/lib
# git clone [email protected]:pieterblok/maskal.git
# cd maskal
# pip3 install -e .
### Install anaconda
# sudo apt install -y curl;
# mkdir -p ~/lib/anaconda_installation;
# cd ~/lib/anaconda_installation;
# curl -O https://repo.anaconda.com/archive/Anaconda3-5.2.0-Linux-x86_64.sh;
# chmod +x Anaconda3-5.2.0-Linux-x86_64.sh;
# ./Anaconda3-5.2.0-Linux-x86_64.sh;
# conda create --name maskAL python=3.6 pip
### Prepare Workspace
SCRIPT_DIR=$(cd $(dirname $0); pwd)
mkdir -p $SCRIPT_DIR/../maskal_ws/datasets
mkdir -p $SCRIPT_DIR/../maskal_ws/results
mkdir -p $SCRIPT_DIR/../maskal_ws/weights
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