Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Tensorflow Object Detection On The Raspberry Pi | 834 | 5 years ago | 48 | apache-2.0 | Python | |||||
A tutorial showing how to set up TensorFlow's Object Detection API on the Raspberry Pi | ||||||||||
Thor | 256 | 2 years ago | 8 | other | C++ | |||||
thor: C++ helper library, for deep learning purpose | ||||||||||
Mobilenet Ssdlite Realsense Tf | 43 | 5 years ago | 2 | mit | Python | |||||
RaspberryPi3(Raspbian Stretch) + MobileNetv2-SSDLite(Tensorflow/MobileNetv2SSDLite) + RealSense D435 + Tensorflow1.11.0 + without Neural Compute Stick(NCS) | ||||||||||
Play_with_mnn | 19 | 2 years ago | apache-2.0 | C++ | ||||||
Sample projects to use MNN. PoseNet, SemanticSegmentation, etc. | ||||||||||
Autopilot Tool | 18 | 3 years ago | 2 | apache-2.0 | C++ | |||||
This is a tool for software engineers to view,record and analyse data(sensor data and module data) In the process of software development. | ||||||||||
Rvaf | 15 | 6 years ago | bsd-2-clause | C++ | ||||||
Robot Vision Algorithm Framework | ||||||||||
Efficienthierarchicalgraphbasedvideosegmentationexporter | 11 | 9 years ago | C++ | |||||||
This repository contains C++ code to export the video segmentations from the system described in the paper Efficient Hierarchical Graph-Based Video Segmentation. The system described in this paper returns segmentations as Protocol Buffer files. The exporter contained in this repository converts these Protocol Buffer files into image sequences. | ||||||||||
Face.ncnn | 10 | 5 years ago | C++ | |||||||
基于 ncnn 框架搭建 win 及 android 端的人脸检测工程 | ||||||||||
Caffe_install | 7 | 8 years ago | Shell | |||||||
caffe在Ubuntu14.04和CentOS6.7上的自动安装脚本。 | ||||||||||
Gender And Age Detection Using Opencv | 5 | 4 years ago | Python | |||||||
Automatically predict age and gender in static image files and real-time video streams with reasonably high accuracy. |