NVIDIA DeepStream SDK 8.0 / 7.1 / 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models
Python Computer Vision & Video Analytics Framework With Batteries Included
based on yolo-high-level project (detect\pose\classify\segment\):include yolov5\yolov7\yolov8\ core ,improvement research ,SwintransformV2 and Attention Series. training skills, business customization, engineering deployment C
🔥🔥🔥🔥🔥🔥Docker NVIDIA Docker2 YOLOV5 YOLOX YOLO Deepsort TensorRT ROS Deepstream Jetson Nano TX2 NX for High-performance deployment(高性能部署)
Beginner's Guide to reComputer Jetson
NVIDIA DeepStream SDK 8.0 / 7.1 / 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 application for YOLO-Pose models
NVIDIA Deepstream 6.1 Python boilerplate
ROS 2 package for NVIDIA DeepStream applications on Jetson Platforms
Deepstream app use retinaface and arcface for face recognition.
NVIDIA DeepStream SDK 8.0 / 7.1 / 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 application for YOLO-Face models
Use Deepstream python API to extract the model output tensor and customize the post-processing of YOLO-Pose
People flow analysis system for Jetson Nano, Xavier NX, and AGX Xavier.
An Implementation of Fatigue Driving Detect, Huawei Cloud Track, 18th Challenge Cup
Osprey is a dynamic, multi-stream video analytics platform built on NVIDIA DeepStream 8.0. Add and remove RTSP/file sources at runtime via REST API — each stream gets GPU-accelerated inference (YOLO-det, YOLO-seg, or RT-DETR), multi-object tracking, and an independent RTSP output with zero downtime
Video streaming inference framework, integrating image algorithms and models for real-time/offline video structuring, lightweight NVIDIA DeepStream. 视频流式推理框架，结合图像算法和模型进行实时/离线视频结构化，轻量版 NVIDIA DeepStream
The Purpose of this repository is to create a DeepStream/Triton-Server sample application that utilizes yolov7, yolov7-qat, yolov9 models to perform inference on video files or RTSP streams.
Implementation of Nvidia DeepStream 7 with YOLOv9 Models.
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