Hi I follow the TORCHVISION OBJECT DETECTION FINETUNING TUTORIAL:https://pytorch.org/tutorials/intermediate/torchvision_tutorial.html to finish prediction. I want to compute the box mAP of my test data(about 100). How to compute the mAP for test data? Is there a function to compute it?
The tutorial shows the IoU metric at the end using the CocoEvaluator. Could you just reuse the
evaluate method or the linked class?
thanks for your answer. I want to predict my a new test data, and get prediction box data, and mAP result of prediction.