Hello,
I am very new to python and OpenCV.
My project is to grade images of samples from a scratch test.
heavy scratching grade 0
no scractching grade 5
So after acquision of images for training grades 0 to 5 I have to train a model,
which afterwards tells me the grading of an arbitrary sample.
Can this model building be achieved in OpenCV by itself or do
I require addition packages like ImageAI or similar.
Any advice where to start from is welcome. Thank you.
Michael
related:
OpenCV can do the inference on deep neural networks (i.e. run the classification), but not train them.
So you’ll need a DNN library (like PyTorch or Tensorflow), a network architecture (check the model zoo) and a database to train the network.
Then use the same framework - or OpenCV* to run the classification.
[*] sometimes there are compatibility problems, and OpenCV won’t read correctly the network from other frameworks. So better stay with the same framework.