Tensorrt5.0 For Ssd
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Mobile Lpr | 432 | 3 years ago | 14 | C++ | ||||||
| Mobile-LPR 是一个面向移动端的准商业级车牌识别库，以NCNN作为推理后端，使用DNN作为算法核心，支持多种车牌检测算法，支持车牌识别和车牌颜色识别。 | ||||||||||
| Proctoring Ai | 397 | a year ago | 10 | mit | Python | |||||
| Creating a software for automatic monitoring in online proctoring | ||||||||||
| People Counting In Real Time | 365 | 9 months ago | 3 | mit | Python | |||||
| People Counting in Real-Time with an IP camera. | ||||||||||
| Object Detection Opencv | 346 | 2 years ago | 23 | mit | Python | |||||
| YOLO Object detection with OpenCV and Python. | ||||||||||
| Mobilenet Ssd Realsense | 284 | 5 years ago | 14 | mit | Python | |||||
| [High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering | ||||||||||
| Person Detection And Tracking | 231 | a year ago | 4 | mit | Python | |||||
| A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking | ||||||||||
| Naruto Handsigndetection | 211 | 10 months ago | mit | Python | ||||||
| 物体検出を用いてNARUTOの印(子～亥、壬、合掌)を検出するモデルとサンプルプログラムです。このリポジトリでは、YOLOXを使用しています(This is a model and sample program that detects NARUTO's hand sign using object detection. This repository use YOLOX.) | ||||||||||
| Handpose | 207 | 2 years ago | 4 | mit | Python | |||||
| A python program to detect and classify hand pose using deep learning techniques | ||||||||||
| New Ssd | 165 | 3 years ago | Python | |||||||
| High precision and fast speed for SSD | ||||||||||
| Rpi Image | 113 | 8 months ago | 5 | bsd-3-clause | ||||||
| Raspberry Pi 4 Buster 64-bit OS with deep learning examples | ||||||||||
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