| php-opencv/php-opencv-examples |
421 |
|
0 |
0 |
about 3 years ago |
0 |
|
6 |
|
PHP |
| Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation) |
| vardanagarwal/Proctoring-AI |
397 |
|
0 |
0 |
over 3 years ago |
0 |
|
10 |
mit |
Python |
| Creating a software for automatic monitoring in online proctoring |
| saimj7/People-Counting-in-Real-Time |
365 |
|
0 |
0 |
almost 3 years ago |
0 |
|
3 |
mit |
Python |
| People Counting in Real-Time with an IP camera. |
| PINTO0309/MobileNet-SSD-RealSense |
284 |
|
0 |
0 |
over 6 years ago |
0 |
|
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 |
| iwatake2222/play_with_tflite |
225 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
apache-2.0 |
C++ |
| Sample projects for TensorFlow Lite in C++ with delegates such as GPU, EdgeTPU, XNNPACK, NNAPI |
| quanhua92/human-pose-estimation-opencv |
154 |
|
0 |
0 |
almost 8 years ago |
0 |
|
6 |
apache-2.0 |
Python |
| Perform Human Pose Estimation in OpenCV Using OpenPose MobileNet |
| PINTO0309/MobileNet-SSD |
84 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
mit |
Python |
| MobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy. |
| PINTO0309/TPU-MobilenetSSD |
62 |
|
0 |
0 |
almost 7 years ago |
0 |
|
2 |
mit |
Python |
| Edge TPU Accelerator / Multi-TPU + MobileNet-SSD v2 + Python + Async + LattePandaAlpha/RaspberryPi3/LaptopPC |
| cristianpb/object-detection |
49 |
|
0 |
0 |
over 4 years ago |
0 |
|
2 |
mit |
Python |
| Object detection on Jetson Nano, Raspberry Pi and Laptop |
| PINTO0309/MobileNet-SSDLite-RealSense-TF |
43 |
|
0 |
0 |
over 7 years ago |
0 |
|
2 |
mit |
Python |
| RaspberryPi3(Raspbian Stretch) + MobileNetv2-SSDLite(Tensorflow/MobileNetv2SSDLite) + RealSense D435 + Tensorflow1.11.0 + without Neural Compute Stick(NCS) |
