Tsebi Projects Forum

Mostly following the steps here:-

https://blog.roboflow.com/train-yolor-o ... m-dataset/

All git clones take place in the Nextcloud/python directory. The training images are placed inside of:-
Consequently, the Nextcloud/python/yolor/training/yaml.cfg file will need to be edited so that the train and valid paths point to the correct places, namely:-

At this point, we have two major tasks to complete:-

1. Creating a custom training set using Roboflow, and annotate with the right kinds of classes/categories. This should correspond to the types of fish that we want to identify in the aquarium. So, we need to know:-
a. number of images
b. size of images
c. boundary marking
d. labelling and annotation
e. formatting with Roboflow
f. exporting

2. We will need to automate the detection and generate the output accordingly. This may involve:-
a. running the detection command/process in a python script
b. marking out the boundaries (if necessary) and generating a resultant detection image
c. keeping track of location and count of detections