install_ncnn_gpu.bash

## Commands

# 1) sudo apt install build-essential git cmake libprotobuf-dev protobuf-compiler libvulkan-dev vulkan-utils libopencv-dev
# 2) Check gpu using command `vulkaninfo | grep deviceType` it will give output deviceType     = DISCRETE_GPU

# 3) sudo chmod +x install_ncnn_gpu.sh
# 4) ./install_ncnn_gpu.sh

sudo mkdir -p /opt/tools
sudo chmod -R 777 /opt/tools
cd /opt/tools
git clone https://github.com/Tencent/ncnn.git
cd ncnn
git submodule init && git submodule update

mkdir -p build && cd build

# set DNCNN_VULKAN=ON on GPU
sudo cmake -DCMAKE_BUILD_TYPE=Release -DNCNN_VULKAN=ON -DNCNN_PYTHON=ON -DNCNN_SYSTEM_GLSLANG=OFF -DNCNN_BUILD_EXAMPLES=ON ..
sudo make -j$(nproc)

# -------------------------------------------------
# python
# -------------------------------------------------
#     Install

#         cd /pathto/ncnn/python
#         pip install .

#     if you use conda or miniconda, you can also install as following:

#         cd /pathto/ncnn/python
#         python3 setup.py install

cd ../python
python3 -m pip install .

# ------------------------------------------------------
# Model Zoo
# -----------------------------------------------------

# install requirements

#     pip install -r requirements.txt

# then you can import ncnn.model_zoo and get model list as follow:

#     import ncnn
#     import ncnn.model_zoo as model_zoo

#     print(model_zoo.get_model_list())

python3 -m pip install -r requirements.txt

# ---------------------------------------------------
# cmd usage
# ---------------------------------------------------
# python examples/retinaface.py  "path/to/image"