runtime_source_add_delete
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################################################################################ # SPDX-FileCopyrightText: Copyright (c) 2021-2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved. # SPDX-License-Identifier: Apache-2.0 # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. ################################################################################ Prerequisites: - DeepStreamSDK 6.2 - Python 3.8 - Gst-python To run the test app: $ python3 deepstream-test-rt-src-add-del.py <uri> e.g. $ python3 deepstream_rt_src_add_del.py \ file:///opt/nvidia/deepstream/deepstream/samples/streams/sample_720p.mp4 This application demonstrates how to: * Add and delete sources at runtime. * Use a uridecodebin so that any type of input (e.g. RTSP/File), any GStreamer supported container format, and any codec can be used as input. * Configure the stream-muxer to generate a batch of frames and infer on the batch for better resource utilization. * Configure the tracker (referred to as nvtracker in this sample) using config file dstest_tracker_config.txt Refer to the deepstream-nvdsanalytics sample documentation for a description of stream-muxer configuration, tracker configuration, and multi-stream tiling. The sample generates the following pipeline for single source <uri> uridecodebin -> nvstreammux -> nvinfer -> nvtracker -> nvtiler -> nvvideoconvert -> nvdsosd -> displaysink For reference, here are the config files used for this sample: 1. Primary inference engine: dstest_pgie_config.txt 2. First secondary inference engine: dstest_sgie1_config.txt 3. Second secondary inference engine: dstest_sgie2_config.txt 4. Third secondary inference engine: dstest_sgie3_config.txt At runtime, after a timeout, a source will be added periodically. All the components are reconfigured during addition/deletion. After reaching of `MAX_NUM_SOURCES`, a random source is deleted periodically until a single source is present in the pipeline. The app exits when End of Stream is reached for the final source or if the last source is deleted.