Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Php Opencv Examples | 421 | a year ago | 6 | PHP | ||||||
Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation) | ||||||||||
Proctoring Ai | 397 | a year ago | 10 | mit | Python | |||||
Creating a software for automatic monitoring in online proctoring | ||||||||||
People Counting In Real Time | 365 | 8 months ago | 3 | mit | Python | |||||
People Counting in Real-Time with an IP camera. | ||||||||||
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 | ||||||||||
Play_with_tflite | 225 | 2 years ago | apache-2.0 | C++ | ||||||
Sample projects for TensorFlow Lite in C++ with delegates such as GPU, EdgeTPU, XNNPACK, NNAPI | ||||||||||
Human Pose Estimation Opencv | 154 | 6 years ago | 6 | apache-2.0 | Python | |||||
Perform Human Pose Estimation in OpenCV Using OpenPose MobileNet | ||||||||||
Mobilenet Ssd | 84 | 5 years ago | 1 | mit | Python | |||||
MobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy. | ||||||||||
Tpu Mobilenetssd | 62 | 5 years ago | 2 | mit | Python | |||||
Edge TPU Accelerator / Multi-TPU + MobileNet-SSD v2 + Python + Async + LattePandaAlpha/RaspberryPi3/LaptopPC | ||||||||||
Object Detection | 49 | 2 years ago | 2 | mit | Python | |||||
Object detection on Jetson Nano, Raspberry Pi and Laptop | ||||||||||
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) |