A Minimal Sample to use onnxruntime from C++.
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Updated
Jan 2, 2021 - CMake
A Minimal Sample to use onnxruntime from C++.
Python scripts for performing Image Inpainting using the MST model in ONNX
C++ example applications for deploying deep learning models using frameworks like PyTorch, Tensorflow, ONNX, NCNN.
Dog Breed Classification app trained with ResNet18 and EfficientNetB0, achieved ~90% accuracy
Classify images using ONNX Runtime and Blazor
Application to switch keyboard layout automatically - Hebrew, English, Russian
A Visual Studio project demonstrating how to perform object tracking across video frames with YOLOX, ONNX Runtime, and the ByteTrack-Eigen library.
end-to-end model based on EfficientDet
Template to serve, optimize and scale 🤗 pipeline in production with Torchserve & Docker
Real-time chessboard processor (Raspberry Pi's version)
Simple onnxruntime example using C++ API. Inferring MNIST dataset samples and show results.
Simple NER model using Docker, FastAPI, ONNX and Multilingual Mini-LM.
The pbrain-Z2I is just a gomoku engine which use the protocol of gomocup. (最新权重在咸鱼有售)
Machine Learning API built using Fast API.
A browser interface for NudeNet classifier.
Lane detection in Euro Truck Simulator 2 using Ultra-Fast-Lane-Detection V1 & V2
The project is a Dockerized microservice utilizing YOLO for object detection, managed with Docker Compose. It exposes a REST API for detection tasks, ensuring scalability and ease of deployment. Developed with FastAPI, it accurately detects and reports objects within images, prioritizing code quality, containerization efficiency, and clear document
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