Hello! have been following the Hello AI World video series on youtube very closely to teach myself about image classification and object detection for a University project on the Jetson Nano 2GB board.
Currently I am trying to train an object detection network to detect power lines and towers. My problem is I want to train the network with user defined boundary boxes like the Data Capture Control tool in “S3E5 - Training Object Detection Models”. However instead of using the live camera feed to capture images and draw to boundaries for training, testing and validation I want to use a set of images I have scrubbed google images for and have placed into a folder onto the Jetson.
Any help with how I use the ‘Data Capture Control’ tool for application on existing downloaded images would be awesome. Perhaps a different command? For example instead of ‘camera-capture csi://0’ (I have a raspberry pi v2 camera module), is there a command such as ‘images-capture’ that is valid where I can access my downloaded images?
Any help would be greatly appreciated