deploy insightface for face detection

conda create -n insightface python=3.8
conda activate insightface
pip install insightface
git clone https://github.com/deepinsight/insightface.git
cd insightface/python-package
pip install numpy opencv-python 
pip install onnxruntime-gpu
touch model_test.py
cd insightface/thirdparty/face3d/mesh/cython
python setup.py build_ext -i

the following codes for model_test.py

import cv2
import numpy as np
import insightface
from insightface.app import FaceAnalysis
from insightface.data import get_image as ins_get_image

app = FaceAnalysis(providers=['CUDAExecutionProvider', 'CPUExecutionProvider'])
app.prepare(ctx_id=0, det_size=(640, 640))
img = ins_get_image('t1')
faces = app.get(img)
rimg = app.draw_on(img, faces)
cv2.imwrite("./t1_output.jpg", rimg)

then run python model_test.py, you will get the result.

For the video, you may modify model.test.py and set the input value as every frame.