#计算机科学#MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
翻译 - MNN是一个快速，轻量级的深度学习框架，已通过阿里巴巴的关键业务用例进行了实战测试
MNNKit is a collection of AI solutions for mobile developers, powered by MNN engine.
翻译 - MNN工具包演示
MNN applications by MNN, JNI exec, RK3399. Support tflite\tensorflow\caffe\onnx models.
#人脸识别# 💎1MB lightweight face detection model (1MB轻量级人脸检测模型)
alibaba MNN, mobilenet classifier, centerface detecter, ultraface detecter, pfld landmarker and zqlandmarker, mobilefacenet
Code for the MNN manuscript figures
🛠 A lite C++ toolkit of 100+ Awesome AI models, support ORT, MNN, NCNN, TNN and TensorRT. 🎉🎉
翻译 - 🍅🍅A lite C++ 工具包，包含具有 ONNXRuntime、NCNN、MNN 和 TNN 的出色 AI 模型。 YOLOX、YOLOP、YOLOv5、YOLOR、NanoDet、YOLOX、SCRFD、YOLOX。 MNN、NCNN、TNN、ONNXRuntime、CPU/GPU。
An implementation of MNN (Mutual Nearest Neighbors) correct in python.
SuperGlue MNN C++部署，SuperGlue C++ Inference with MNN
MNN MTCNN C++
Model Compression 1. Pruning(BN Pruning) 2. Knowledge Distillation (Hinton) 3. Quantization (MNN) 4. Deployment (MNN)
mnn based mtcnn c++ realize.
Imported from https://gitee.com/techshoww/mnn-yolov5.
MNN demo of Strongeryolo, including channel pruning, android support...
🍅 YOLO5Face 2021 with MNN/NCNN/TNN/ONNXRuntime
Sample projects to use MNN. PoseNet, SemanticSegmentation, etc.
Lane detection model for mobile device via MNN project
android application, mtcnn face detection based on MNN framework