2023 Spring SNU Computer Vision Project by
Jihwan Kim
[email protected]
Hojune Kim
[email protected]
git clone
cd 2023S_SNU_CV_Project
conda env create -f "environment.yaml"
conda activate cvproject
cd liegroups
pip install .
cd ..
If conda doesn't work, try :
conda create -n "happy"
conda activate happy
pip install numpy opencv-python matplotlib
cd liegroups
pip install .
cd ..
and then,
python main.py
Note that you should click one more point on second plot
To verify camera calibration,
python main.py -c
To choose other video,
python main.py -v="./core/data/short.MOV"
To designate output video path,
python main.py -o="./core/results/output.mp4"
To see optical flow processes for each frame,
python main.py -d
Then you can find results in
./core/results/VIDEO_NAME
all files should be located in ./core without main.py
all images, data files should be located in ./core/data
all results should be located in ./core/results