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carnd-advanced-lane-lines

cutmix-pytorch

Official Pytorch implementation of CutMix regularizer

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deeplearningflappybird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

detectauto

自动标注

faceverloss

人脸验证的损失代码解读

ga-optimized-neural-network

python 用GA算法优化BP神经网络

garbage_classify

最严垃圾分类政策自7月1日颁布，如何进行垃圾分类已经成为居民生活的灵魂拷问。但是，没关系！AI在垃圾分类的应用可以成为居民的得力助手。本次垃圾分类挑战杯，目的在于构建基于深度学习技术的图像分类模型，实现垃圾图片类别的精准识别，大赛参考深圳垃圾分类标准，按可回收物、厨余垃圾、有害垃圾和其他垃圾四项分类。本项目包含完整的分类网络、数据增强、SVM等各种分类增强策略，后续还会继续更新新的分类技巧。

huawei-garbage

2019 Huawei Cloud garbage Classification Competition online score 2th place

kmeans-anchor-boxes

k-means clustering with the Intersection over Union (IoU) metric as described in the YOLO9000 paper

learnopencv4

OpenCV 4相关文件

lio-sam

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

mask-face-detection

极市口罩检测 1st

mobile-yolov5-pruning-distillation

mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！

msnhnet

🔥 (yolov3 yolov4 yolov5 unet ...)A mini pytorch inference framework which inspired from darknet.

opencv

Find squares in an image with OpenCV C++

pt-dec

PyTorch implementation of DEC (Deep Embedding Clustering)

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

pytorch-deeplab-xception

DeepLab v3+ model in PyTorch. Support different backbones.

pytorchnethub

加注释的网络模型（便于理解）

qt_canny

qt_object_detection

resnest

ResNeSt: Split-Attention Networks

tensorflow-serving-yolov3

本项目主要对原tensorflow-yolov3版本做了许多细节上的改进,增加了TensorFlow-Serving工程部署,训练了多个数据集，包括Visdrone2019, 安全帽等, 安全帽mAP在98%左右, 推理速度1080上608的尺寸大概25fps.

tobacco_planting_project

Unet and Yolov3 were used for remote sensing image recognition

ultra-fast-lane-detection

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

yolact

A simple, fully convolutional model for real-time instance segmentation.

yolo-fastest

:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+

yolo-tensorrt

Support Yolov5s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.

yolov3-channel-and-layer-pruning

yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝，通道剪枝，知识蒸馏