TLT YOLOv4 (CSPDakrnet53) - TensorRT INT8 model gives wrong predictions (0 mAP)

Accelerated Computing Intelligent Video Analytics TAO Toolkit
23

Hi,
I cannot reproduce 0 mAP against trt int8 engine. You can try with my step.
My step:

  • Run a training with cspdarknet19 backbone(I forget to set to 53, I will try later) with KITTI dataset.
    Only run for 10 epochs. Then get the tlt model.
  • Generate etlt model and trt int8 engine

yolo_v4 export -k nvidia_tlt -m epoch_010.tlt -e spec.txt --engine_file 384_1248.engine --data_type int8 --batch_size 8 --batches 10 --cal_cache_file export/cal.bin --cal_data_file export/cal.tensorfile --cal_image_dir /kitti_path/training/image_2 -o 384_1248.etlt

  • Run evaluation

yolo_v4 evaluate -e spec.txt -m 384_1248.engine