Vehicle detection examples with OpenVINO running on Raspberry Pi 3 Model B (RPi) and Intel® Core™ i7-4790K CPU @ 4.00GHz × 8 (desktop)
- Raspberry Pi 3 Model B
- Movidius Neural Compute Stick 2 (not tested yet on NCS)
- Webcam
- Display (Optional)
- realtime_vehicledetection.py (model: vehicle-detection-adas-0002
- realtime_objectdetection.py (model: mobilenet-ssd)
- realtime_objectdetection_and_tracking.py (model: mobilenet-ssd)
To install the Intel® Distribution of OpenVINO™ Toolkit for Raspbian, follow these instructions
mobilenet-ssd from model zoo has been transformed to IR with model optimizer with following command:
python3 ~/intel/computer_vision_sdk/deployment_tools/model_optimizer/mo.py --input_model ~/workspace/open_model_zoo/model_downloader/object_detection/common/mobilenet-ssd/caffe/mobilenet-ssd.caffemodel --input_proto ~/workspace/open_model_zoo/model_downloader/object_detection/common/mobilenet-ssd/caffe/mobilenet-ssd.prototxt --data_type FP16
Change path according to your installation.
| task (model) | Device | FPS |
|---|---|---|
| Vehicle Detection (vehicle-detection-adas-0002) | desktop | 6.46 |
| Object Detection (mobilenet-ssd) | desktop | 18.31 |
| Object Detection And Tracking with default configuration (mobilenet-ssd) | desktop | 30.27 |
| Vehicle Detection (vehicle-detection-adas-0002) | RPi | - |
| Object Detection (mobilenet-ssd) | RPi | 6.90 |
| Object Detection And Tracking with default configuration (mobilenet-ssd) | RPi | 10.17 |
Thanks to Adrian Rosenbrock for the following helpful tutorials: