sditeng's repositories
across
Across the Great Wall we can reach every corner in the world
caffe-model
Caffe models (including classification, detection and segmentation) and deploy files for famouse networks
caffe-yolov3
A real-time object detection framework of Yolov3 based on caffe
CrossStagePartialNetworks
Cross Stage Partial Networks
libfacedetection
An open source library for face detection in images. The face detection speed can reach 1500FPS.
markdown-marchhappy.tech
Markdowns and media files for https://marchhappy.tech
markdown-preview-enhanced
One of the 'BEST' markdown preview extensions for Atom editor!
MHTifier
Un/packs an MHT (MHTML) archive into/from separate files, writing/reading them in directories to match their Content-Location.
mobilefacenet-caffe
a caffe implementation of mobilefacenet,with the record of trainnig log
MobileNet-Caffe
Caffe Implementation of Google's MobileNets (v1 and v2)
MobileNet-YOLO
A caffe implementation of MobileNet-YOLO detection network
MobileNetv2-SSDLite
Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.
mtcnn_ncnn
基于ncnn框架搭建win及android端的MTCNN人脸检测工程
netron
Visualizer for neural network, deep learning, and machine learning models
Person_reID_baseline_pytorch
A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
practicalAI
📚A practical approach to learning and using machine learning.
proxy2
HTTP/HTTPS proxy in a single python script
PytorchConverter
Pytorch model to caffe & ncnn
ResNet-18-Caffemodel-on-ImageNet
ResNet-18 Caffemodel @ilsvrc12 shrt 256 with Top-1 69% Top-5 89%
resnet-imagenet-caffe
train resnet on imagenet from scratch with caffe
TNN
TNN: developed by Tencent Youtu Lab and Guangying Lab, a lightweight and high-performance deep learning framework for mobile inference. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework. TNN：由腾讯优图实验室和光影实验室协同打造，移动端高性能、轻量级推理框架，同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化，同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地，欢迎大家参与协同共建，促进TNN推理框架进一步完善。
waymo-open-dataset
Waymo Open Dataset
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+
YOLOV3
The realization of yolov3 target detection based on Caffe and the optimization of target detection effect based on klaman multi-target tracking(base on caffe)
YOLOv3-caffe
A YOLOv3 model in caffe
ZQCNN-MTCNN-vs-libfacedetection
对比ZQCNN-MTCNN与libfacedetection