I have checked cloned the jetson inference using
$ git clone -b python https://github.com/dusty-nv/jetson-inference jetson-inference-python
in order to find the optimum threshold I would like to save the camera input as video (e.g. .mpg, or mp4, etc) and the then run the network (SSD mobilenet v2) for different threshold on the saved video sequence.
I found example detectnet-console.py which takes an image and not a video? Is there a sample code for saving camera input as a video file and then if there is a sample code to run object detection on the saved video file?
The only solution I thought is to save the input images as jpg then extend the detectnet-console.py to run on a number of images rather than one jpg, is this a good solution?