DeepStream Reference Application on GitHub
===============================================

Use case applications
----------------------
* `Face Mask Detection (TAO + DeepStream) <https://github.com/NVIDIA-AI-IOT/face-mask-detection>`_
* `Redaction with DeepStream <https://github.com/NVIDIA-AI-IOT/redaction_with_deepstream>`_
* `Using RetinaNet for face redaction <https://github.com/NVIDIA-AI-IOT/retinanet_for_redaction_with_deepstream>`_
* `People counting using DeepStream <https://github.com/NVIDIA-AI-IOT/deepstream-occupancy-analytics>`_
* `DeepStream Pose Estimation <https://github.com/NVIDIA-AI-IOT/deepstream_pose_estimation>`_
* `DeepStream License Plate detection and recognition <https://github.com/NVIDIA-AI-IOT/deepstream_lpr_app>`_

AI models with DeepStream
---------------------------
* `YoloV4 with DeepStream <https://github.com/NVIDIA-AI-IOT/yolov4_deepstream>`_
* `Deploy TensorFlow FasterRCNN model using Triton and DeepStream <https://github.com/NVIDIA-AI-IOT/deepstream_triton_model_deploy>`_
* `TAO model deployment in DeepStream <https://github.com/NVIDIA-AI-IOT/deepstream_tao_apps>`_

DeepStream features sample
----------------------------
* `Back to back detectors with DeepStream <https://github.com/NVIDIA-AI-IOT/deepstream_reference_apps/tree/master/back-to-back-detectors>`_
* `Runtime source addition/removal with DeepStream <https://github.com/NVIDIA-AI-IOT/deepstream_reference_apps/tree/master/runtime_source_add_delete>`_
* `Anomaly detection using NV Optical Flow using DeepStream <https://github.com/NVIDIA-AI-IOT/deepstream_reference_apps/tree/master/anomaly>`_
* `Custom Post-processing for SSD model in Python DeepStream app (Python) <https://github.com/NVIDIA-AI-IOT/deepstream_python_apps/tree/master/apps/deepstream-ssd-parser>`_
* `Save image metadata from DeepStream pipeline (Python) <https://github.com/NVIDIA-AI-IOT/deepstream_python_apps/tree/master/apps/deepstream-imagedata-multistream>`_