My question is: Can I somehow force the models from trt_pose to detect only 1 human, either during training or during inference?
My 2 cents are that since models from trt_pose are trained on the MSCOCO dataset which contains crowds of people on a lot of images, the model is going to be trained to detect multiple people, which will on rare occasions lead to false positives when there is only one person present.
Am I correct? Do you have any suggestions or ideas as to how could I force a model to predict only one person, either during training or inference?
Thank you in advance!