YOLOXYOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
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mediapipe plusThe purpose of this project is to apply mediapipe to more AI chips.
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mtomoMultiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation. Intel iHD GPU (iGPU) support. NVIDIA GPU (dGPU) support.
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InsightFace-RESTInsightFace REST API for easy deployment of face recognition services with TensorRT in Docker.
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Pytorch Yolov4PyTorch ,ONNX and TensorRT implementation of YOLOv4
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Deepstream ProjectThis is a highly separated deployment project based on Deepstream , including the full range of Yolo and continuously expanding deployment projects such as Ocr.
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TengineTengine is a lite, high performance, modular inference engine for embedded device
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deepvacPyTorch Project Specification.
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watsorObject detection for video surveillance
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libdeepvacUse PyTorch model in C++ project
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tensorrt-zooopenpose, yolov3 with tiny-tensorrt
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wonnxA GPU-accelerated ONNX inference run-time written 100% in Rust, ready for the web
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pytorch-android[EXPERIMENTAL] Demo of using PyTorch 1.0 inside an Android app. Test with your own deep neural network such as ResNet18/SqueezeNet/MobileNet v2 and a phone camera.
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YOLOv5-Lite🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~
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openvino pytorch layersHow to export PyTorch models with unsupported layers to ONNX and then to Intel OpenVINO
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optimum🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools
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flexinferA flexible Python front-end inference SDK based on TensorRT
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popartPoplar Advanced Runtime for the IPU
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yolov4-triton-tensorrtThis repository deploys YOLOv4 as an optimized TensorRT engine to Triton Inference Server
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SynapseMLSimple and Distributed Machine Learning
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pnnpnn is Darknet compatible neural nets inference engine implemented in Rust.
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ppqPPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.
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ONNX.jlRead ONNX graphs in Julia
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Unity Detection2ARLocalize 2D image object detection in 3D Scene with Yolo in Unity Barracuda and ARFoundation.
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kinferenceRunning ONNX models in vanilla Kotlin
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onnx2caffepytorch to caffe by onnx
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ngraph-onnxnGraph™ Backend for ONNX
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ros-yolo-sortYOLO v3, v4, v5, v6, v7 + SORT tracking + ROS platform. Supporting: YOLO with Darknet, OpenCV(DNN), OpenVINO, TensorRT(tkDNN). SORT supports python(original) and C++. (Not Deep SORT)
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