104 skills found · Page 1 of 4
openvinotoolkit / Open Model ZooPre-trained Deep Learning models and demos (high quality and extremely fast)
PINTO0309 / PINTO Model ZooA repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
open-edge-platform / Training ExtensionsTrain, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
openvinotoolkit / Model ServerA scalable inference server for models optimized with OpenVINO™
openvinotoolkit / Openvino.genaiRun Generative AI models with simple C++/Python API and using OpenVINO Runtime
PINTO0309 / Openvino2tensorflowThis script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and pb. PyTorch (NCHW) -> ONNX (NCHW) -> OpenVINO (NCHW) -> openvino2tensorflow -> Tensorflow/Keras (NHWC/NCHW) -> TFLite (NHWC/NCHW). And the conversion from .pb to saved_model and from saved_model to .pb and from .pb to .tflite and saved_model to .tflite and saved_model to onnx. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support.
PINTO0309 / Tflite2tensorflowGenerate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support. Supports inverse quantization of INT8 quantization model.
intel / Ros2 Openvino ToolkitThis repository provides a set of tools and libraries to integrate Intel® OpenVINO™ Toolkit with ROS 2 (Robot Operating System), enabling efficient deployment of deep learning models for computer vision applications on Intel® hardware.
guojin-yan / DeploySharpDeploying deep learning models on multiple platforms (OpenVINO/ONNX Runtime, etc.)
intel-iot-devkit / People Counter PythonCreate a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.
guojin-yan / PaddleOCR OpenVINO CSharpDeploying PaddleOCR model based on OpenVINO C# API.
TalkUHulk / Image Animation Turbo BoostAim to accelerate the image-animation-model inference through the inference frameworks such as onnx、tensorrt and openvino.
Yulv-git / Model Inference DeploymentA curated list of awesome inference deployment framework of artificial intelligence (AI) models. OpenVINO, TensorRT, MediaPipe, TensorFlow Lite, TensorFlow Serving, ONNX Runtime, LibTorch, NCNN, TNN, MNN, TVM, MACE, Paddle Lite, MegEngine Lite, OpenPPL, Bolt, ExecuTorch.
intel-iot-devkit / People Counter CppCreate a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.
guojin-yan / InferenceAt OpenVINO ™、 TensorRT, ONNX runtime, and OpenCV Dnn deployment platforms are based on C # language deployment models.
openvino-dev-samples / YOLOv7 OpenVINO Cpp PythonThis repository will demostrate how to deploy a offical YOLOv7 pre-trained model with OpenVINO runtime api
open-edge-platform / Model ApiRun Computer Vision AI models with simple Python API and using OpenVINO Runtime
hampen2929 / PyvinoThis is the python implementation of openvino models.
TNTWEN / Pruned OpenVINO YOLODeploy the pruned YOLOv3/v4/v4-tiny/v4-tiny-3l model on OpenVINO embedded devices
guojin-yan / RT DETR OpenVINODeploy RT-DETR model based on OpenVINO.
