Leverage GStreamer's flexibility and scalability with pre-trained deep learning models and achieve high performance AI. GstInference is an ongoing open-source project from RidgeRun that allows easy integration of state-of-the-art deep learning inference into your existing pipeline.
Latest version v0.6.0 includes: - Supported architectures - GoogleNet's Inception V1, V2, V3 and V4 classification architecture - TinyYolo V2 and V3 detection architecture - FaceNet V1 recognition architecture - ResNet50 V1 classification architecture - MobileNet V2 classification architecture - Graphic debugging overlay elements - Supported backends: - TensorFlow (CPU) - TensorFlow (GPU) - NCSDK - Supported architectures: - x86 - Jetson Xavier, TX2, TX1, Nano - i.MX8
Learn more in our developer's wiki: https://developer.ridgerun.com/wiki/index.php?title=GstInference
Monitor the project progress in the project's GitHub repository: https://github.com/RidgeRun/gst-inference