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We first get the object features by applying the RoI-align to the FPN features based on the ground-truth bounding boxes. Then, we classify the object features with the classification head of R-CNN, and calculate the classification accuracy for each category.
Hello, I'm confused that how you get the curve of classificaiton accuracy per class in inference.
Can you give me some suggestions or share the code?
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