PeopleNet v1.0 unpruned model shows very bad results on COCO dataset

Accelerated Computing Intelligent Video Analytics TAO Toolkit
13
  1. For detectnet_v2, its tlt-infer result does not support showing the score of bbox yet.
  2. If you want to run tlt-evaluate against the pruned peoplenet model, please refer to my spec and the command in People Net - - #5 by Morganh, and also please prepare some images whose labels are People or Bag or Face.
    The KITTI dataset does not contain the same class. So you get the mAP=0
  3. Please paste your command and log for “If i tlt-infer first and evaluate myself, I got 53% precision.”