gst_license_plate_recognition/README
nqthai199@gmail.com df3dd9a705 first commit
2022-09-15 09:26:49 +07:00

52 lines
2.2 KiB
Plaintext
Executable File

################################################################################
# Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
#
# NVIDIA Corporation and its licensors retain all intellectual property
# and proprietary rights in and to this software, related documentation
# and any modifications thereto. Any use, reproduction, disclosure or
# distribution of this software and related documentation without an express
# license agreement from NVIDIA Corporation is strictly prohibited.
#
################################################################################
Refer to the DeepStream SDK documentation for a description of the plugin.
--------------------------------------------------------------------------------
Pre-requisites:
- GStreamer-1.0 Development package
- GStreamer-1.0 Base Plugins Development package
- OpenCV Development package
Install using:
sudo apt-get install libgstreamer-plugins-base1.0-dev libgstreamer1.0-dev \
libopencv-dev
--------------------------------------------------------------------------------
Compiling and installing the plugin:
Export or set in Makefile the appropriate cuda version using CUDA_VER
Run make and sudo make install
NOTE:
1. To compile the sources, run make with "sudo" or root permission.
2. This plugin contains additional optimized sample which supports batch processing
of buffers. Refer to the Makefile for using optimized sample.
3. OpenCV has been deprecated by default, so blur-objects will not work.
To enable OpenCV in dsexample, set `WITH_OPENCV=1` in the plugin Makefile
(/opt/nvidia/deepstream/deepstream/sources/gst-plugins/gst-dsexample/Makefile)
and follow compilation and installation instructions present in this README.
--------------------------------------------------------------------------------
Corresponding config file changes (Add the following section). GPU ID might need
modification based on the GPU configuration:
[ds-example]
enable=1
processing-width=640
processing-height=480
full-frame=0
#batch-size for batch supported optimized plugin
batch-size=1
unique-id=15
gpu-id=0
blur-objects=0
# Supported memory types for blur-objects are 1 and 3
nvbuf-memory-type=3