Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Proctoring Ai | 397 | a year ago | 10 | mit | Python | |||||
Creating a software for automatic monitoring in online proctoring | ||||||||||
Mobilenet Ssd Realsense | 284 | 4 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 | ||||||||||
Mobilenet In Fpga | 96 | 2 years ago | 3 | Verilog | ||||||
Generator of verilog description for FPGA MobileNet implementation | ||||||||||
Tpu Mobilenetssd | 62 | 5 years ago | 2 | mit | Python | |||||
Edge TPU Accelerator / Multi-TPU + MobileNet-SSD v2 + Python + Async + LattePandaAlpha/RaspberryPi3/LaptopPC | ||||||||||
Lightdenseyolo | 20 | 6 years ago | C++ | |||||||
A real-time object detection app based on lightDenseYOLO Our lightDenseYOLO is the combination of two components: lightDenseNet as the CNN feature extractor and YOLO v2 as the detection module | ||||||||||
Tpu Posenet | 14 | 4 years ago | mit | Python | ||||||
Edge TPU Accelerator / Multi-TPU / Multi-Model + Posenet/DeeplabV3/MobileNet-SSD + Python + Sync / Async + LaptopPC / RaspberryPi | ||||||||||
Real Time Human Pose Estimation By Pytorch | 11 | 5 years ago | 1 | Jupyter Notebook | ||||||
A reimplementation of real time human pose estimation using Pytorch. Both CMU's original model and mobilenet backbone are provided. The code is optimized for a faster inference time ! | ||||||||||
Realtime Object Detection | 11 | 5 years ago | mit | Python | ||||||
Shufflenet V2 Pytorch | 8 | 5 years ago | Jupyter Notebook | |||||||
implement the shufflenetv2, and test the performance | ||||||||||
Jetson_nano_trt_tf_ssd | 7 | 4 years ago | other | Python | ||||||
How to run SSD Mobilenet V2 object detection on Jetson Nano at 20+ FPS |