How to run

Without option to add your own images

cd paintings-animator
open index.html

With option to add your own images

Remove opencv from requirements.txt and build it from source if you would like to use CUDA.

cd paintings-animator
pip install -r requirements.txt
python src/api.py
open localhost:5000

CUDA

This section is needed only if you would like to use CUDA for transformation of images.

Installation

Install cuda toolkit v11.5

sudo apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
sudo sh -c 'echo "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 /" > /etc/apt/sources.list.d/cuda.list'
sudo apt-get update
sudo apt-get install -y cuda-toolkit-11-5

Validate installation

Check cuda devices

cd /usr/local/cuda/samples/1_Utilities/deviceQuery
sudo make
./deviceQuery

Your GPU should be present in the output.

Env varibales

You may be required to update env variables

export PATH=/usr/local/cuda/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH

opencv

Opencv needs to be built with cuda enabled.

First clone the source code:

git clone -b 4.5.5 https://github.com/opencv/opencv.git
git clone -b piecewiseAffineCuda https://github.com/jjustin/opencv_contrib.git

cd opencv 
mkdir build
cd build

Configure enviromental variables to your build. CUDA_ARCH_BIN can be found here. Call cmake:

export PYTHON_VERSION=3.8.12

cmake -D CMAKE_BUILD_TYPE=RELEASE \
-D CMAKE_INSTALL_PREFIX=/usr/local \
-D OPENCV_ENABLE_NONFREE=ON \
-D WITH_CUDA=ON \
-D WITH_CUDNN=ON \
-D OPENCV_DNN_CUDA=ON \
-D ENABLE_FAST_MATH=1 \
-D CUDA_FAST_MATH=1 \
-D CUDA_ARCH_BIN=8.6 \
-D WITH_CUBLAS=1 \
-D OPENCV_EXTRA_MODULES_PATH=$(pwd)/../../opencv_contrib/modules ..

# Optional additional parameters for building for pyenv, change `python3.8` to desired interpreter/version
-D PYTHON3_EXECUTABLE=$HOME/.pyenv/versions/$PYTHON_VERSION/bin/python3.8 \
-D PYTHON3_PACKAGES_PATH=$HOME/.pyenv/versions/$PYTHON_VERSION/lib/python3.8/site-packages \
-D PYTHON3_LIBRARY=$HOME/.pyenv/versions/$PYTHON_VERSION/lib/libpython3.8.a \
-D PYTHON3_INCLUDE_DIR=$HOME/.pyenv/versions/$PYTHON_VERSION/include \

# Optional additional parameter to generate pkg-config .pc file
-D OPENCV_GENERATE_PKGCONFIG=ON \

Ensure correct python environment is present in the output. And check CUDA is being built.

Build and install using:

make -j$(nproc)
sudo make install

See also