Search results for tensorflow openvino

28 search results found

Go package for computer vision using OpenCV 4 and beyond.

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts

Pinto_model_zoo ⭐ 3,121

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.

Berrynet ⭐ 1,563

Deep learning gateway on Raspberry Pi and other edge devices

Nncf ⭐ 725

Neural Network Compression Framework for enhanced OpenVINO™ inference

Adlik ⭐ 688

Adlik: Toolkit for Accelerating Deep Learning Inference

Model_server ⭐ 618

A scalable inference server for models optimized with OpenVINO™

Ultimatealpr Sdk ⭐ 550

World's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and NPUs using deep learning (Tensorflow, Tensorflow lite, TensorRT, OpenVX, OpenVINO). Multi-Charset (Latin, Korean, Chinese) & Multi-OS (Jetson, Android, Raspberry Pi, Linux, Windows) & Multi-Arch (ARM, x86).

Openvino Yolov3 ⭐ 530

YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO

Openvino2tensorflow ⭐ 262

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

Tflite2tensorflow ⭐ 186

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.

Openvino Yolov4 ⭐ 140

This is implementation of YOLOv4,YOLOv4-relu,YOLOv4-tiny,YOLOv4-tiny-3l,Scal and INT8 Quantization in OpenVINO2021.3

Bmw Anonymization Api ⭐ 137

This repository allows you to anonymize sensitive information in images/videos. The solution is fully compatible with the DL-based training/inference solutions that we already published/will publish for Object Detection and Semantic Segmentation.

Fast Pathology ⭐ 108

⚡ Open-source software for deep learning-based digital pathology

Keras Oneclassanomalydetection ⭐ 79

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

Mobilenetv2 Poseestimation ⭐ 59

Tensorflow based Fast Pose estimation. OpenVINO, Tensorflow Lite, NCS, NCS2 + Python.

Openvino Deeplabv3 ⭐ 30

[4-5 FPS / Core m3 CPU only] [11 FPS / Core i7 CPU only] OpenVINO+DeeplabV3+LattePandaAlpha/LaptopPC. CPU / GPU / NCS. RealTime semantic-segmentaion. Python3.5+Tensorflow v1.11.0+OpenCV3.4.3+PIL

Infery Examples ⭐ 28

A collection of demo-apps and inference scripts for various deep learning frameworks using infery (Python).

Keras_openvino ⭐ 26

How to run Keras model inference x3 times faster with CPU and Intel OpenVINO

Dl Benchmark ⭐ 21

Deep Learning Inference benchmark. Supports Intel® Distribution of OpenVINO™ Toolkit, Caffe, TensorFlow, TensorFlow Lite, ONNX Runtime, OpenCV DNN, MXNet, PyTorch and Apache TVM

Mtomo ⭐ 17

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.

Edge Ml ⭐ 9

Quantized Tensorflow Estimator for Google EdgeTpu Accelerator, Dev Board and Intel Neural Compute Stick 2

Yolo2openvino ⭐ 9

YoloV3, YoloV4, YoloV3-tiny, and YoloV4-tiny conversion to Tensorflow and OpenVINO.

Tensorflow Yolo ⭐ 8

YOLOv3 on TensorFlow Core API and Edge Deployment Using the Intel's Neural Compute Stick Series

Keras_to_tf_ncs2 ⭐ 8

Keras to Tensorflow test for Neural Compute Stick 2

Openvino Model Division And Simple Custom Layer ⭐ 8

Demonstrates how to divide a DL model into multiple IR model files (division) and introduce a simplest way to implement a custom layer works with OpenVINO IR models.

Porky ⭐ 6

The real-time object detecting autonomous robot. Create your own real-time object detection project using only a Raspberry Pi 3 B+ paired with an Intel Neural Compute Stick 2!

Yolo_various_framework ⭐ 6

run YOLO (object detection model) on various frameworks