Pinned Repositories
A-Light-and-Fast-Face-Detector-for-Edge-Devices
A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......
aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
ALFNet
Code for 'Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization Fitting' in ECCV2018
algorithm-base
专门为刚开始刷题的同学准备的算法基地，没有最细只有更细，立志用动画将晦涩难懂的算法说的通俗易懂！
ArmNeonOptimization
Arm neon optimization practice
awesome-algorithm
结构化算法刷题训练指南 (希望大家支持一下！)
awesome-Face_Recognition
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
awesome-ml-for-cybersecurity
:octocat: Machine Learning for Cyber Security
Awesome-Pruning
A curated list of neural network pruning resources.
tiny-dnn
header only, dependency-free deep learning framework in C++14
goodgoodstudy92's Repositories
goodgoodstudy92/aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
goodgoodstudy92/algorithm-base
专门为刚开始刷题的同学准备的算法基地，没有最细只有更细，立志用动画将晦涩难懂的算法说的通俗易懂！
goodgoodstudy92/ArmNeonOptimization
Arm neon optimization practice
goodgoodstudy92/Binary-Learning
滴水逆向初、中级学习笔记，不定时更新，自用仓库，不喜勿喷；感谢滴水，有如此完整体系的学习视频，白嫖党嫖了一波...感谢海东老师，听课受益匪浅。
goodgoodstudy92/BTrack
A Real-Time Beat Tracker
goodgoodstudy92/CBIR
🏞 A content-based image retrieval (CBIR) system
goodgoodstudy92/CenterNet2
Two-stage CenterNet
goodgoodstudy92/CnC_Remastered_Collection
goodgoodstudy92/ComputeLibrary
The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs using SIMD technologies.
goodgoodstudy92/CPlusPlusThings
C++那些事
goodgoodstudy92/CVPR-2020-Semi-Low-Light
goodgoodstudy92/deep-sdm
deep-sdm is appied for face landmark.
goodgoodstudy92/DFQ
PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.
goodgoodstudy92/Dive-Into-Deep-Learning-PyTorch-PDF
本项目对中文版《动手学深度学习》中的代码进行了PyTorch实现并整理为PDF版本供下载
goodgoodstudy92/eq-ncnn
goodgoodstudy92/handpose_x
手部21个关键点检测，二维手势姿态，手势识别，pytorch,handpose
goodgoodstudy92/Low-light-Image-Enhancement
Python implementation of two low-light image enhancement techniques via illumination map estimation
goodgoodstudy92/model-compression
model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolution structure；4、batch-normalization folding for quantization)
goodgoodstudy92/nanodet
⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8mb and run 97FPS on cellphone🔥
goodgoodstudy92/network-slimming
Network Slimming (Pytorch) (ICCV 2017)
goodgoodstudy92/nnieqat-pytorch
A nnie quantization aware training tool on pytorch.
goodgoodstudy92/places365
The Places365-CNNs for Scene Classification
goodgoodstudy92/PyRetri
Open source deep learning based unsupervised image retrieval toolbox built on PyTorch🔥
goodgoodstudy92/pytorch_toys
Personal Pytorch toy script.
goodgoodstudy92/Self-Correction-Human-Parsing
An out-of-box human parsing representation extractor.
goodgoodstudy92/shufflev2-yolov5
shufflev2-yolov5: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 1.7M (int8) and 3.3M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~
goodgoodstudy92/Silent-Face-Anti-Spoofing
静默活体检测（Silent-Face-Anti-Spoofing）
goodgoodstudy92/SimpleCVReproduction
reproduce the simplest cv work including classification, object detection, segmentation, keypoint detection, tracking etc.
goodgoodstudy92/vedadet
A single stage object detection toolbox based on PyTorch
goodgoodstudy92/Yolo-Fastest
:zap: Yolo universal target detection model combined with EfficientNet-lite, the calculation amount is only 230Mflops(0.23Bflops), and the model size is 1.3MB