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C++ library based on tensorrt integration
Tengine is a lite, high performance, modular inference engine for embedded device
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…
PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎）
Support for Armbian in Amlogic, Rockchip and Allwinner boxes. Support a311d, s922x, s905x3, s905x2, s912, s905d, s905x, s905w, s905, s905l, rk3588, rk3568, rk3399, rk3328, h6, etc.
这是一个retinaface-pytorch的源码，可以用于训练自己的模型。
⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end…
a lightweight C++ cross-platform vision inference library,support YOLOv10 YOLOv11 PaddleOCR EasyOCR ,using ONNXRuntime/TVM with multiple exectuion providers.
A collection of pre-trained, state-of-the-art models in the ONNX format
This project implements YOLOv11 inference on the RK3588 platform using the RKNN framework. With deep optimization of the official code and RGA hardware acceleration for image preprocessing, it achi…
This repository is based on shouxieai/tensorRT_Pro, with adjustments to support YOLOv8.
2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
TOOD: Task-aligned One-stage Object Detection, ICCV2021 Oral
Algorithm Engineer Toolbox, for the purpose of quickly iterating new ideas
Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST
A sample android application of live object detection for any YOLOv8 detection model
YOLOv8, YOLOv9, YOLOv10, YOLOv11 in Mobile Devices, run different machine learning model inside Android and iOS.
The minimal opencv for Android, iOS, ARM Linux, Windows, Linux, MacOS, HarmonyOS, WebAssembly, watchOS, tvOS, visionOS
Real time yolov8 Android demo by ncnn
[CVPR 2023] DepGraph: Towards Any Structural Pruning
Effortless data labeling with AI support from Segment Anything and other awesome models.
Tflite VX Delegate i.MX Machine Learning