Schlagwort-Archive: python

The Python nightmare: How to install mask_rcnn and detectron2

Coming from R the most exciting thing with Python is the incompatibility of the different modules…

While I can recommend the Anaconda Navigator, the following commands work only in the terminal.

Thanks to Nouman945 for help with the original mask_rcnn instructions.

conda create --name matterport python=3.6.13 tensorflow==1.15.0 Keras==2.2.4 h5py==2.8.0 pip
conda activate matterport
git clone
cd ./Mask_RCNN-master
python -m pip install -r requirements.txt
git clone
python -m pip install pycocotools
python -m pip install git+
wget > Mask_RCNN/mask_rcnn_coco.h5
conda deactivate

For detectron I follow basically

conda create --name detectron2 python=3.6.13 tensorflow==1.15.0 Keras==2.2.4 h5py==2.8.0 pip
conda activate detectron2
conda install pytorch==1.8.0 torchvision==0.9.0 torchaudio==0.8.0 -c pytorch
git clone
CC=clang CXX=clang++ ARCHFLAGS="-arch x86_64" python -m pip install -e detectron2
conda deactivate

Last but not least the installed apps:

From R to Python

It’s bit confusing if you are having long-term experience with R but need some OpenCV Python code. What worked for me

  1. download and install Python 3.8.3.
  2. pip install opencv-python
  3. pip install opencv-contrib-python
  4. although Spyder or Jupyter is recommended for data science, I went for PyCharm
  5. install Atom and follow the video instructions
  6. take care, numerous non working introductions out there, stick to recent version

python3 cv2 installation

Homebrew is struggling with the older python 2.7 version that is missing ssl support. Python 3.8 did not recognize cv2 but this finally worked

brew install python3
brew postinstall python3
pip3 install virtualenv virtualenvwrapper
virtualenv env_name --python="python3"
/Users/wjst/env_name/bin/pip3 install opencv-python
/Users/wjst/env_name/bin/pip3 install pandas scipy matplotlib Pillow tqdm sklearn imageio
/Users/wjst/env_name/bin/python3 -c "import cv2"

then I could finally run the image forgery detection from Github.

cd /Users/wjst/Desktop/image-copy-move-detection-master
> from copy_move_detection import detect
> ...