Dear Sir or Madam,
I am currently training sugarcane images collected in the field for detecting diseases on the leaves. A few details as requested are shown as follows.
• Network Type_Mask_rcnn
• TLT Version:
Configuration of the TAO Toolkit Instance
• Training spec file (see attached
maskrcnn_train_resnet50.txt (2.1 KB)
• How to reproduce the issue ? (see attached
maskrcnn_sugarcane.ipynb (581.9 KB)
As you can see in the uploaded Jupyter notebook, when executing the training command, it shows the error ¨AssertionError: Results do not correspond to current coco set¨.
This error always occurs no matter how I reorganise the data I have. I have confirmed that the dataset has the correct COCO format as I did a test in the Detectron2 and the training and interference were both successful.
I have also checked the class names and their sequence of the training set, which match those of the validation set.
Please help have a look and it will be great if I can use TAO to make a successful training.