vanly89

Pinned Repositories

ar_track_alvar
Language:C++00
caffe-mobilenet-v3
Caffe Implementation of MobileNets V3
00
CAFFE_SSD
Language:C++0 0 00
CNN_face_detection_models
Language:Shell00
facenet_caffe
face recognition
Language:Python00
issue
Language:Python00
Leetcode
Play Leetcode with different programming language
Language:C++00
lx-music-desktop
一个基于 electron 的音乐软件
Language:Vue00
MobileNet-Caffe
Caffe Implementation of Google's MobileNets (v1 and v2)
Language:Python00
MTCNN
MTCNN in practice
Language:C++00

vanly89's Repositories

vanly89/ar_track_alvar
Language:C++00
vanly89/caffe-mobilenet-v3
Caffe Implementation of MobileNets V3
00
vanly89/CAFFE_SSD
Language:C++0 0 00
vanly89/CNN_face_detection_models
Language:Shell00
vanly89/facenet_caffe
face recognition
Language:Python00
vanly89/issue
Language:Python00
vanly89/Leetcode
Play Leetcode with different programming language
Language:C++00
vanly89/lx-music-desktop
一个基于 electron 的音乐软件
Language:Vue00
vanly89/MobileNet-Caffe
Caffe Implementation of Google's MobileNets (v1 and v2)
Language:Python00
vanly89/MTCNN
MTCNN in practice
Language:C++00
vanly89/MTCNN-1
Repository for "Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks", implemented with Caffe, C++ interface.
vanly89/mtcnn-caffe
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
vanly89/SSD-Pruning-and-quantization
Pruning and quantization for SSD. Model compression.
vanly89/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。
vanly89/ZY-Player
▶️ 跨平台桌面端视频资源播放器.简洁无广告.免费高颜值. 🎞