I am trying to train my own data set that I have curated on my pc thosuands of images, using labelimage to label them.
I notice that when using the provided train_ssd.py it looks for specific label csv files. I am guessing they are generated when using the camera capture app or something but there does not seem to be a tool for generating these labels from a custom labelled data set! Am I missing something?
What label format does it use and how would I convert the standard labelimage csvs into the correct format for train_ssd?
No such file or directory: 'data\\training/sub-train-annotations-bbox.csv'
so the first line of my train_labels.csv looks like this:
I downloaded the example data set of fruit in the tutorial and the label csv files are weird there are two sets for each data set, this is first line from sub-train-annotations-bbox.csv:
and this is first line from train-annotations-bbox.csv:
I have managed to train custom model using object detection API but it is not the same as using dysty-nvs tools as it is much more useful to using TRT on the jetson. I would like to train it using the correct tools so everything runs smooth on deployment.