Custom gst-nvinfer (DEMO)

This is a custom gst-nvinfer plugin to do some preprocess and postprocess.

Requirements

• Deepstream 6.0+
• Opencv

Notice

This demo supports models:

• Retinaface
• Retina_License_Plate
• Hyperlpr

If want to use other models, codes in tensor_extractor.cpp should be modified for extracting landmarks from original tensor-output and align_funcitons.

Feature

for detector

1. add landmarks in nvdsinfer so it can be processed together with bondingboxes in nvdsinfer_customparser
2. if numLmks not 0, we concat landmarks to the end of labels
3. decode landmarks in attach_metadata_detector and attach them to user metadata

for classifier

3. decode landmarks in object_user_metadata
4. use opencv to do alignment and replace original surface in gpu memory
5. Done!

Usage

A backup is strongly recommended!!!!

1. replace nvdsinfer.h. It's under /opt/nvidia/deepstream/deepstream/sources/includes in official docker.
2. set cuda environment

export CUDA_VER=11.6

3. modify nvdsinfer_parser set oinfo.numLmks and oinfo.landmarks properties
4. compile nvdsinfer

cd nvdsinfer
make
make install

NOTE: To compile the sources, run make with "sudo" or root permission.

5. compile gst-nvinfer

cd gst-nvinfer
make
make install

6. set config file

for all detectors, set cluster-mode=4 since we only modify fillUnclusteredOutput.

cluster-mode=4

for detector which output landmarks

enable-output-landmark = 1

for classifier which generate feature use kyewords

• alignment-type:
  • 1: face -> Retinaface
  • 2: license plate -> Retina_License_Plate
• alignment-pics-path: path to save pictures

Example

alignment-type=2

Comparison

License Plate Saved input NvBufSurface

TODO

• use npp to do alignment
• improve stucture of passing lmks