🤗A PyTorch-native and Flexible Inference Engine with Hybrid Cache Acceleration and Parallelism for DiTs.

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …

Unofficial implemention of lanenet model for real time lane detection

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba. Full multimodal LLM Android App:[MNN-LLM-Android](./apps/Android/MnnLlmChat/READ…

tf-openpose and unity IK

Framework for building Statistical Image And Shape Models

CainCamera is an Android Project to learn about development of beauty camera, image and short video

FeatherCNN is a high performance inference engine for convolutional neural networks.

The Android-Video-Trimmer project implements the selection of clips for long and short videos. It uses MediaMetadataRetriever to obtain video frames, and uses ffmpeg for video cropping and video co…

FFmpegMediaMetadataRetriever provides a unified interface for retrieving frame and meta data from an input media file.

Porting caffe to android platform

iOS开发进阶 - 用AVFoundation自定义视频录制功能

ncnn is a high-performance neural network inference framework optimized for the mobile platform

A neural network toolkit for Metal

Tensorflow implementation of Automatic Portrait Matting on paper "Automatic Portrait Segmentation for Image Stylization"

Deep Residual Learning for Image Recognition

Fully Convolutional Instance-aware Semantic Segmentation

XDoG: An eXtended difference-of-Gaussians compendium iincluding advanced image stylization. From https://code.google.com/p/xdog-demo/

Caffe2 is a lightweight, modular, and scalable deep learning framework.

Predict facial landmarks with Deep CNNs powered by Caffe.

Minimal runtime core of Caffe, Forward only, GPU support and Memory efficiency.

Supervised Descent Method Apply to Face Alignment, and Head Pose Estimation with Linear Regression. It is cross-platfrom, easily compile in windows, ubuntu, even in Android & iOS.

Caffe: a fast open framework for deep learning, iOS version

MXNet WhatThis Example for iOS

Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.

An Android project that try new things, new ideas, research purpose... Just a playground.