cmdbug / MNN_Demo
🥭 移动端MNN部署学习笔记。支持Android与iOS。
☆92Updated 4 years ago
Alternatives and similar repositories for MNN_Demo
Users that are interested in MNN_Demo are comparing it to the libraries listed below
Sorting:
- 🍉 移动端TNN部署学习笔记,支持Android与iOS。☆73Updated 4 years ago
- 在Android使用深度学习模型实现图像识别,本项目提供了多种使用方式,使 用到的框架如下:Tensorflow Lite、Paddle Lite、MNN、TNN☆164Updated 4 months ago
- alibaba MNN, mobilenet classifier, centerface detecter, ultraface detecter, pfld landmarker and zqlandmarker, mobilefacenet☆206Updated 3 years ago
- 基于ncnn的手机端轻量级人脸检测和关键点定位模型☆52Updated 3 years ago
- The squeezenet image classification android example☆171Updated 2 weeks ago
- ncnn在Android的一个测试,包含了人脸检测(face detection),人脸属性(face attributes),人脸识别(face recognition)。车辆检测(Vehicle detection),车牌检测(plate detection),车牌识别…☆58Updated 5 years ago
- ☆228Updated 2 weeks ago
- Android BlazePose demo by ncnn☆81Updated 3 years ago
- Android hand detect and pose estimation by ncnn☆95Updated 3 years ago
- Examples and tools for deep learning deployment☆57Updated 4 years ago
- Android face detect and segmentation,facemesh by ncnn☆172Updated 2 years ago
- Light-weight face detection on Android with pytorch model☆20Updated 4 years ago
- ☆91Updated 5 years ago
- ☆64Updated 2 years ago
- mobilenet-ssd snpe demo☆40Updated 3 years ago
- 移动端开源人像分割☆52Updated 3 years ago
- deep-sdm is appied for face landmark.☆73Updated 4 years ago
- mnn based mtcnn c++ realize.☆30Updated 5 years ago
- ☆81Updated 2 years ago
- Android face detection 30+ FPS, pretrained weight 1MB.☆120Updated 5 years ago
- YOLO5Face 2021 with MNN/NCNN/TNN/ONNXRuntime☆56Updated 2 years ago
- Retinaface pytorch face-pose-detect face-key-point-detect☆36Updated 4 years ago
- Mobile Detection Benchmark☆43Updated 3 years ago
- InsightFaceRecognition_Demo_AndroidNCNN☆63Updated 5 years ago
- pytorch face_landmark☆26Updated 2 years ago
- Face Recognition Project on mobile phone, using ncnn to deploy it.☆80Updated 5 years ago
- MNN demo of Strongeryolo, including channel pruning, android support...☆104Updated 5 years ago
- ☆27Updated 5 years ago
- ☆120Updated 2 years ago
- 使用mtcnn和o网络跟踪+光流跟踪进行多目标人脸跟踪,单目标人脸光流跟踪是0.5ms左右☆119Updated 5 years ago