Implementation of object detection and semantic segmentation of traffic objects in the front facing car camera using OpenVINO's pretrained models.
- Object Detection: Identify vehicles by drawing the bounding boxes on the detected objects. vehicle-detection-adas-0002
- Semantic Segmentation: Classify objects as roads, sidewalks, buildings, walls, fences, poles, traffic lights, traffic signs, vegetation, terrain, sky, people, passengers, cars, trucks, buses, trains, motorcycles, bicycles, or electric vehicles. semantic-segmentation-adas-0001
- Road Segmentation: Classify objects as roads, curbs, painted lines, or backgrounds. road-segmentation-adas-0001
- Setup OpenVINO. OpenVINO™ toolkit Documentation
- Download the models
Required args:
python app.py -m {model_name} -t {model_type}
For more details:
python app.py -h