TNN - TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server

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TNN: A high-performance, lightweight neural network inference framework open sourced by Tencent Youtu Lab. It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. At the same time, it refers to the high performance and good scalability characteristics of the industry's mainstream open source frameworks, and expands the support for X86 and NV GPUs. On the mobile phone, TNN has been used by many applications such as mobile QQ, weishi, and Pitu. As a basic acceleration framework for Tencent Cloud AI, TNN has provided acceleration support for the implementation of many businesses. Everyone is welcome to participate in the collaborative construction to promote the further improvement of the TNN reasoning framework. Chinese OCR demo is the TNN implementation of chineseocr_lite project. It is lightweight and supports tilted, rotated and vertical text recognition.

ocr deep-learning tensorflow inference pytorch tengine face-detection tensorrt mnn coreml ncnn openvino hairsegmentaion

Ultra-Light-Fast-Generic-Face-Detector-1MB - 💎1MB lightweight face detection model (1MB轻量级人脸检测模型)

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This model is a lightweight facedetection model designed for edge computing devices. The training set is the VOC format data set generated by using the cleaned widerface labels provided by Retinaface in conjunction with the widerface data set (PS: the following test results were obtained by myself, and the results may be partially inconsistent).

arm inference face-detection mnn ncnn

AoE - AoE (AI on Edge，终端智能，边缘计算) 是一个终端侧AI集成运行时环境 (IRE)，帮助开发者提升效率。

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AoE (AI on Edge，终端智能，边缘计算) 是一个终端侧AI集成运行时环境 (IRE)，帮助开发者提升效率。

machine-learning ai aoe android ios tensorflow deep-learning mnist squeezenet edge mnn ncnn mace demo didi ml tools benchmark ire device

ncnn-benchmark - The benchmark of ncnn that is a high-performance neural network inference framework optimized for the mobile platform

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2.Loop a hundred times to take the minimum value of Inference time-consuming. If you build demo for linux success,and want to run the benchmark demo.

ncnn demo benchmark inference arm deeplearning

mobilefacenet-mxnet - 基于insightface训练mobilefacenet的相关步骤及ncnn转换流程

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基于insightface训练mobilefacenet的相关步骤及ncnn转换流程

mobilefacnet insightface ncnn

mtcnn_ncnn - 基于ncnn框架搭建win及android端的MTCNN人脸检测工程

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基于ncnn框架搭建win及android端的MTCNN人脸检测工程

ncnn mtcnn mobile

FeatherCNNEx - Fork from Tencent FeatherCNN, but we do some extensions such as memory reduce, half float winograd conv (max 30% speedup), fix16 sgemm support (max 20% speedup), and support model crypto feature

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Thanks Tencent FeatherCNN & NCNN team.

arm inference tencent-feathercnn ncnn cnn neon high-performance simd

Real-ESRGAN-ncnn-vulkan - NCNN implementation of Real-ESRGAN

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Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration. We also optimize it for anime images. If Real-ESRGAN is helpful in your photos/projects, please help to ⭐ this repo or recommend it to your friends. Thanks😊 Other recommended projects: ▶️ Real-ESRGAN: A practical algorithm for general image restoration ▶️ GFPGAN: A practical algorithm for real-world face restoration ▶️ BasicSR: An open-source image and video restoration toolbox ▶️ facexlib: A collection that provides useful face-relation functions. ▶️ HandyView: A PyQt5-based image viewer that is handy for view and comparison.

anime amd gpu vulkan intel nvidia super-resolution image-restoration denoise ncnn esrgan real-esrgan jpeg-compresion