tf-trt

There are 0 repository under tf-trt topic.

• PINTO_model_zoo

  PINTO0309 / PINTO_model_zoo

  A 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.

  tensorflowtensorflow-liteopenvinoedgetpumediapipecoremltensorflowjstf-trtonnxpytorchtflitetfjsmodel-zoomodelskerascomputer-visioncaffepretrained-modelsmodeltflite-models
  Language:Python 3288
• openvino2tensorflow

  PINTO0309 / openvino2tensorflow

  This 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.

  openvinotensorflowpytorchonnxtensorflow-litekerascoremltf-trttensorrtedgetpucaffemxnettflitetfjstensorflowjsconvertermodels-converterdocker
  Language:Python 331
• tflite2tensorflow

  PINTO0309 / tflite2tensorflow

  Generate 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.

  tflitetensorflowtensorflow-liteconvertermodels-convertercoremltf-trttfjstensorflowjsedgetpumodels-convertensorflow-modelsmediapipeonnxopenvinodepthaitensorrtdocker
  Language:Python 250

• PINTO0309 / mtomo

  Multiple 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.

  tensorflowpytorchopenvinotensorrtonnxtensorflowjsmyriadmxnetedgetputf-trtdepthaitensorflowlitetflitemodelsmodels-converter
  Language:Dockerfile 24

• waterviewsrl / swiss-army-keras

  A library to help with the development of AI models with Keras, with a focus on edge / IoT applications. Based originally on https://github.com/yingkaisha/keras-unet-collection

  albumentationsclassificationcoral-tpudeeplab-v3-plusdeeplabv3edgeedge-aiedgetpuefficientnet-liteiotkerasneural-networkquantizationsegmentationtensorflow2tf-datatf-trttfliteunet
  Language:Python 0

• Chakib08 / TensorFlow-TensorRT-YOLOv3

  The pupose of this project is to do the inference of models YOLOv3 and YOLOv3-Tiny using the the TF-TRT (TensorFlow-TensorRT) Python API with TensorFlow v1.15

  yolov3tensorrttensorflowobject-detectiontf-trttensorflow-tensorrtnvidiajetson-nanojetson-xavierdeep-learningmachine-learningartificial-intelligence
  Language:Python