Pinned Repositories
98-FaceLandmarks
98 landmark detection
a.vim
Alternate Files quickly (.c --> .h etc)
aom
test
apm
基于Linux命令行的账号密码管理软件
awesome-c-cn
C 资源大全中文版，包括了：构建系统、编译器、数据库、加密、初中高的教程/指南、书籍、库等。
Bash
Linux下Bash脚本编程学习记录
BigCity-SmallLove.github.io
BlazeFace-PyTorch
The BlazeFace face detector model implemented in PyTorch
CS-Notes
:books: Computer Science Learning Notes
programmer-job-blacklist
:see_no_evil:程序员找工作黑名单，换工作和当技术合伙人需谨慎啊
mch0dmin's Repositories
mch0dmin/CS-Notes
:books: Computer Science Learning Notes
mch0dmin/programmer-job-blacklist
:see_no_evil:程序员找工作黑名单，换工作和当技术合伙人需谨慎啊
mch0dmin/98-FaceLandmarks
98 landmark detection
mch0dmin/aom
test
mch0dmin/apm
基于Linux命令行的账号密码管理软件
mch0dmin/awesome-c-cn
C 资源大全中文版，包括了：构建系统、编译器、数据库、加密、初中高的教程/指南、书籍、库等。
mch0dmin/BigCity-SmallLove.github.io
mch0dmin/BlazeFace-PyTorch
The BlazeFace face detector model implemented in PyTorch
mch0dmin/configurefile
mch0dmin/deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
mch0dmin/facelandmarks
light-weight 98 points face landmark超轻98点人脸关键点检测模型
mch0dmin/facemesh.pytorch
This is the PyTorch implementation of paper Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs (https://arxiv.org/pdf/1907.06724.pdf)
mch0dmin/iris-detection-using-py-mediapipe
MediaPipeのIris(虹彩検出)をPythonで動作させるデモです。
mch0dmin/Iris_Landmarks_PyTorch
Iris landmarks localization
mch0dmin/less
mch0dmin/libvpx
test
mch0dmin/LinuxTool
Linux下常用工具及其命令介绍
mch0dmin/linuxtools_rst
Linux工具快速教程
mch0dmin/mch0dmin.github.io
mch0dmin/mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
mch0dmin/mediapipe_pytorch
PyTorch implementation of Google's Mediapipe model. Iris Landmark model | Face Mesh Model
mch0dmin/MediaPipePyTorch
Port of MediaPipe tflite models to PyTorch
mch0dmin/myTest
mch0dmin/opencv-blog
Code for blog posts from OpenCV.AI
mch0dmin/PINTO_model_zoo
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
mch0dmin/Python-100-Days
Python - 100天从新手到大师
mch0dmin/Soft-Tools
SkySeraph Awesome Soft Tools ~~
mch0dmin/test
mch0dmin/test02
mch0dmin/uandp