YoloV7 + DeepSORT tracking with TRT C++
Budget: $30 – $250 SGD
Create an object detection pipeline, to track the objects using YoloV7 and DeepSORT with the tensorRT model in C++.
You can use the pre-trained Coco model given at https://github.com/WongKinYiu/yolov7. Create a pipeline in such a way that it can be used for other computer vision tasks further.
The input of the pipeline is a video, and the output of the pipeline is a frame with object ids and their classes.
You can use the pre-trained Coco model given at https://github.com/WongKinYiu/yolov7. Create a pipeline in such a way that it can be used for other computer vision tasks further.
The input of the pipeline is a video, and the output of the pipeline is a frame with object ids and their classes.
Related categories:
Machine Learning (ML)
C++ Programming
Artificial Intelligence
Computer Vision
Deep Learning