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Hi! thanks for you code, it is very useful as an introduction to Faster-RCNN.
I have trained the model on my dataset and I tested it producing corresponding images in the "results_imgs" folder. I wonder, which metrics I can use to test numerically the accuracy of the classification and bounding boxes predictions on the test set? Is there a part of the code I am missing?
thanks a lot
The text was updated successfully, but these errors were encountered:
Hi! thanks for you code, it is very useful as an introduction to Faster-RCNN.
I have trained the model on my dataset and I tested it producing corresponding images in the "results_imgs" folder. I wonder, which metrics I can use to test numerically the accuracy of the classification and bounding boxes predictions on the test set? Is there a part of the code I am missing?
thanks a lot
The text was updated successfully, but these errors were encountered: