Stars
Common used path planning algorithms with animations.
NvDsInferYolov7EfficientNMS for Gst-nvinferserver
`std::execution`, the proposed C++ framework for asynchronous and parallel programming.
🔀 Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
OpenAthena allows common drones to spot precise geodetic locations
My name is Mahshid Ghasemi, I am a PhD student at Columbia University. In my research which is developing real-time multimedia processing pipelines for various applications, I have used Nvidia GStr…
高性能车牌检测与识别开源代码,方便移植嵌入式和安卓端使用,支持12种车牌识别,支持港澳车牌识别,支持大角度车牌识别,准确率高达99%+
Transformer framework for edge computing based on C++.
ChatLaw:A Powerful LLM Tailored for Chinese Legal. 中文法律大模型
Labeling tool with SAM(segment anything model),supports SAM, SAM2, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Instructions for executing YOLOv7 on NVIDIA Deepstream
yolo model qat and deploy with deepstream&tensorrt
Sample apps to demonstrate how to deploy models trained with TAO on DeepStream
Switch the rootfs to a NVMe SSD on the Jetson Xavier NX and Jetson AGX Xavier
ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.
How to run yolov5 model using TensorRT.
🔥🔥🔥TensorRT for YOLOv8、YOLOv8-Pose、YOLOv8-Seg、YOLOv8-Cls、YOLOv7、YOLOv6、YOLOv5、YOLONAS......🚀🚀🚀CUDA IS ALL YOU NEED.🍎🍎🍎
NVIDIA DeepStream SDK 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
yolov5, yolov8, segmenations, face, pose, keypoints on deepstream
yolort is a runtime stack for yolov5 on specialized accelerators such as tensorrt, libtorch, onnxruntime, tvm and ncnn.
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
log4cplus / ThreadPool
Forked from progschj/ThreadPoolA simple C++11 Thread Pool implementation