I am trying Object detection using YOLO - Deep Learning. On my PC(RAM - 16GB, i7 Processor, CUDA 7.0, GPU memory 3007MiB) the performance is 10fps. I wanted to improve the performance of the algorithm and hence used Jetson TX1 development kit. I have followed the github link of Dustin Franklin url[/url] for object detection using Tensor-rt. But using the development kit my performance got reduced to 5 - 6fps. Kindly help me with following queries:
- Whether Tensor-rt supports YOLO(as I have read that Tensor-rt works with caffe).
- Is there any way we can convert the Yolo files(weight and cfg files) to equivalent caffe(caffemodel and prototxt files).
- If yes to (1), then What can be possible reason for poor performance in TX1 development kit and how we can resolve the this issues.
- If no to (1), then what can be the alternative.
A big thanks in advance for taking your time out to help me. I have attached system details of my PC.