基于PX4、ROS和Gazebo的无人机通用仿真平台
This is the implementation of YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design
Caffe: a fast open framework for deep learning.
天池竞赛Baseline分享（2018广东工业智造大数据创新大赛——智能算法赛，线上0.921无调参）
Wind Turbine Blade Image Dateset
China Wind Turbine Blade Image Dateset
can calculate +-*/ by c++ program
Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.
Repository for OpenCV's extra modules
Secure Multi Trading Client
deepsort using retinanet and visDrone
This page is for the SlimYOLOv3: Narrower, Faster and Better for UAV Real-Time Applications
mathtype for office 2013&16
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A caffe implementation of MobileNet-YOLO detection network
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
mobilenetv3 with pytorch，provide pre-train model
