onnxruntime-gpu

An OBS plugin for removing background in portrait images (video), making it easy to replace the background when recording or streaming.

It is a simple library to speed up CLIP inference up to 3x (K80 GPU)

Age and gender estimation from face images in Python. One pip install: no compiler, pretrained dlib models bundled and running on ONNX Runtime. Works with any face detector: OpenCV, MediaPipe, face_recognition.

Python scripts for performing 6D pose estimation and shape reconstruction using the CenterSnap model in ONNX

「PyTorch Implementation of AnimeGANv2」のPythonでのONNX推論サンプル

Yolo object detection browser, Power by onnxruntime-web, Support WebGPU, wasm(cpu). Webcam support for live detection, Add your custom model

Tennis match analysis via computer vision techniques.

「PyTorch Implementation of AnimeGANv2」を用いて、生成した顔画像を元の画像に上書きするデモ

Tools for simple inference testing using TensorRT, CUDA and OpenVINO CPU/GPU and CPU providers. Simple Inference Test for ONNX.

Supercharge Your PyTorch Image Models: Bag of Tricks to 8x Faster Inference with ONNX Runtime & Optimizations

Python scripts for performing Image Inpainting using the MST model in ONNX

The installation of the InsightFace package on a Windows environment, including the necessary dependencies and configurations.

Drop-in replacement for onnxruntime-node with GPU support using CUDA or DirectML

Адаптированный ASR pipeline для удобной интеграции в другие приложения на Windows, Linux и Mac

Python scripts performing semantic segmentation using the TopFormer model in ONNX.

ONNX deploys for Florence 2 visual multimodal

YOLOv8 inference using ONNX Runtime

Perform inference with TwinLiteNet model using ONNX Runtime. TwinLiteNet is a lightweight and efficient deep learning model designed for drivable area and lane segmentation

This project makes it easier to make detections using onnx models and cuda's speed.

This repo installs ComfyUI and auto-provisions 80+ workflows for your multimedia needs on the DGX-Spark or equivalent GB10 computers. Updated ~ once a month. This is a hobby project.