Problem generating the true detections in CenterNet when running test.py

[jhonjam]

@xingyizhou Why the result.json file generated from the test.py execution contains for each associated image_id different category_id. This can be seen in the following figure.

For a better observation, I organize for each "image_id" the values corresponding to "category_id", "score" and "bbox" in a .txt file. As can be seen, there are too many "category_id" for each of the classes, which is an error, since in the image that I am using there are no more than 8 objects to detect. I would like to know, how can I get the true corresponding values "category_id", "score" and "bbox" for each real object in each image?

Tanks you