How can I create bounding box annotations for specific classes only. For example, I’ve trained a model for cats, dogs and apes. but only want annotated images with bounding boxes for cats. I’ve tried editing out various sections of the config file, without success
What determines the if class name / confidence is shown on the bounding boxes ??
The sample detectnet_v2_inference_kitti_etlt_qat.txt seems to generate them, but not detectnet_v2_inference_kitti_tlt.txt, but I can’t see any relevant difference in the config file
Do you mean my config should have target_classes
in the inferencer_config section for cat, dog & ape but I hide some bboxes with a setting (such as a high threshold) for classwise_bbox_handler_config say for cats & dogs
Which parameter in particular ? There is nothing in either the postprocessing_config or bbox_handler_config sections
Thanks for the reply & sorry for the slow response.
I’ve since tried a Yolov4 model in TAO, rather than DetectNet & getting way better inference results- and the BBOXes are produced correctly in the inference output- so I think I’ll stick with this.