Stars
Implementation of paper "Research on Adaptive Job Shop Scheduling Problems Based on Dueling Double DQN"
The filters for denoising non-local mean, diffusion, Gauss etc.
C++ implementation of several image contrast enhancement techniques.
Some of the fastest decoding range-based Asymetric Numeral Systems (rANS) codecs for x64
Learn OpenCV : C++ and Python Examples
Some example code and scripts to make OpenCV HW/SW Zynq applications using embedded linux. Developed for the CAS group @ Imperial College London
jhfmat / hls_rawtorgb
Forked from yxgi5/rgb2bayerAn axis rgb to raw converter ip
Denoise,HDR,Isppipeline,Image-processing(图形处理),camera, Isp ,HDRplus
An FPGA-based LZMA compressor for generic data compression. 基于FPGA的LZMA压缩器,用于通用数据压缩。
This is a resouce list for low light image enhancement
Microshift Compression: An Efficient Image Compression Algorithm for Hardware
NVDLA is an Open source DL/ML accelerator, which is very suitable for individuals or college students. This is the NOTES when I learn and try. Hope THIS PAGE may Helps you a bit. Contact Me:junning…
A pytorch implementation of dorefa quantization
Semantic JPEG image compression using deep convolutional neural network (CNN)
Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression
A PyTorch implementation of DVC(DVC: An End-to-end Deep Video Compression Framework)
This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.
Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
JiangYongYu1 / BEVDet
Forked from HuangJunJie2017/BEVDetOfficial code base of the BEVDet series .