I am novice in deep learning and currently working on object detection on Jetson TK1 with real-time video from a webcam. The two frameworks or applications I tired are
Darknet Yolo: Got 5-6 frames per second with Tiny-yolo configuration and tiny-yolo weights
Single shot multibox detector (works on caffe): got 5 fps
Has anyone used these or any other framework for object detection (classification and localization of objects in an image) for real-time video on the Jetsons? If yes, then what was the maximum frame rate achieved?
Are there better frameworks for the same?
Any help would be greatly appreciated.