open-edge-platform / model_api
Run Computer Vision AI models with simple C++/Python API and using OpenVINO Runtime
☆30Updated last week
Alternatives and similar repositories for model_api:
Users that are interested in model_api are comparing it to the libraries listed below
- OpenVINO™ Explainable AI (XAI) Toolkit: Visual Explanation for OpenVINO Models☆32Updated last month
- Repository for OpenVINO's extra modules☆119Updated last week
- Software Development Kit (SDK) for the Intel® Geti™ platform for Computer Vision AI model training.☆81Updated last week
- The framework to generate a Dockerfile, build, test, and deploy a docker image with OpenVINO™ toolkit.☆65Updated last week
- How to export PyTorch models with unsupported layers to ONNX and then to Intel OpenVINO☆27Updated last month
- ☆79Updated 3 years ago
- Count number of parameters / MACs / FLOPS for ONNX models.☆90Updated 5 months ago
- ResNet Implementation, Training, and Inference Using LibTorch C++ API☆39Updated 10 months ago
- The Triton backend that allows running GPU-accelerated data pre-processing pipelines implemented in DALI's python API.☆132Updated last week
- Scailable ONNX python tools☆97Updated 5 months ago
- How to deploy open source models using DeepStream and Triton Inference Server☆79Updated 9 months ago
- Implementation of YOLOv9 QAT optimized for deployment on TensorRT platforms.☆106Updated last month
- AI-related samples made available by the DevTech ProViz team☆29Updated last year
- Inference of quantization aware trained networks using TensorRT☆80Updated 2 years ago
- ☆52Updated 4 years ago
- OpenVINO Post-Training Optimization Toolkit Tutorial☆16Updated 4 years ago
- This repository serves as an example of deploying the YOLO models on Triton Server for performance and testing purposes☆61Updated 10 months ago
- This repository utilizes the Triton Inference Server Client, which streamlines the complexity of model deployment.☆17Updated 7 months ago
- Deep Learning Inference benchmark. Supports OpenVINO™ toolkit, TensorFlow, TensorFlow Lite, ONNX Runtime, OpenCV DNN, MXNet, PyTorch, Apa…☆31Updated last week
- Sample app code for deploying TAO Toolkit trained models to Triton☆87Updated 7 months ago
- ☆53Updated 3 years ago
- A very simple tool that compresses the overall size of the ONNX model by aggregating duplicate constant values as much as possible.☆52Updated 2 years ago
- OpenVINO Tokenizers extension☆32Updated last week
- Model compression for ONNX☆91Updated 5 months ago
- C++ application to perform computer vision tasks using Nvidia Triton Server for model inference☆23Updated this week
- Adds "face" bounding boxes to the COCO images dataset.☆46Updated 5 years ago
- Yolov5 TensorRT Implementations☆67Updated 2 years ago
- ONNX converter and optimizer scirpts for Kneron hardware.☆39Updated last year
- Computer Vision deployment tools for dummies and experts. CVU aims at making CV pipelines easier to build and consistent around platform…☆88Updated last year
- Parallel CUDA implementation of NON maximum Suppression☆79Updated 4 years ago