marenan Goto Github PK

retinaface-pytorch_latest

这是一个retinaface-pytorch的源码，可以用于训练自己的模型。

retinaface_caffe

完整版caffe-cpp实现

retinaface_ghost

This is a project based on retinaface face detection, including ghostnet and mobilenetv3

ring-buffer

A simple ring buffer (circular buffer) designed for embedded systems.

ring-buffer-1

Ring buffer library for C++17

ring-buffer-cpp-template

A simple ring buffer implementation as C++ template

ringbuf

Lock-free ring buffer (MPSC)

ringbuffer

Ring-Buffer Implementation in ANSI C

robustvideomatting

Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!

robustvideomatting-1

Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!

robustvideomatting-2

robustvideomatting-onnxruntime

使用ONNXRuntime部署鲁棒性视频抠图，包含C++和Python两种版本的程序

rosetta

Rosetta: A Realistic High-level Synthesis Benchmark Suite for Software Programmable FPGAs

rpi-mkimg

Create a distributable image from an SD card

rtl

RANSAC Template Library

sahi

A lightweight vision library for performing large scale object detection/ instance segmentation.

sclerasegnet

[ICB 2019] ScleraSegNet: an Improved U-Net Model with Attention for Accurate Sclera Segmentation

scrfd-opencv

使用OpenCV部署SCRFD人脸检测，包含C++和Python两种版本的程序实现，本套程序只依赖opencv库就可以运行， 从而彻底摆脱对任何深度学习框架的依赖。

sdaccel_examples

SDAccel Examples

sdkopengles

Open Source Software development Kit for Graphics GPU for Xilinx Zu+ Platform.

seetafaceengine

seetafaceengine2

sextans

An FPGA accelerator for general-purpose Sparse-Matrix Dense-Matrix Multiplication (SpMM).

sidewindowfilter

Side window is better than Full window

skynet

smoke-detect-by-yolov5

Yolov5 real time smoke detection system

socstitcher

FPGA implementation of the Image stitching using FAST. For CPU implementation visit tharaka27-ImageStitcherFAST.

solo

SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

spinalhdl_cnn_accelerator

CNN accelerator implemented with Spinal HDL

spoonn

FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)