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ncnn

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

ncnn_example

ncnn example: mask detection: anticonv face detection: retinaface&&mtcnn&&centerface, track: iou tracking, landmark: zqcnn, recognize: mobilefacenet classifier: mobilenet object detecter: mobilenetssd

ncnn_face

MobileNet-SSD Face Detection by ncnn

ndk_opengles_3_0

Android OpenGLES 3.0 开发极简教程

nsrmhand

Pytorch implementation of WACV 2020 paper Nonparametric Structure Regularization Machine for 2D Hand Pose Estimation

orb_slam2_ssd_semantic

动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库

peppa_pig_face_engine

A simple face detect and alignment method, which is easy and stable.

pfld-lite

A re-implementation of PFLD, https://arxiv.org/abs/1902.10859

pfld-pytorch

PFLD pytorch Implementation

pfld_106_face_landmarks

106点人脸关键点检测的PFLD算法实现

photo2cartoon

人像卡通化探索项目 (photo-to-cartoon translation project)

pose-residual-network

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network (ECCV 2018)' paper

prnet

Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)

pysot

python-100-days

Python - 100天从新手到大师

python_interview_question

关于python的面试题

pytorch-cartoongan

Pytorch implementation of CartoonGAN (CVPR 2018)

pytorch_face_landmark

Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100FPS landmark inference on CPU.

sbd_mask

sbd_mask

seetaface2

SeetaFace 2

shape_predictor_81_face_landmarks

Custom shape predictor model trained to find 81 facial feature landmarks given any image

siammask

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

sort

Simple, online, and realtime tracking of multiple objects in a video sequence.

super-slomo

PyTorch implementation of Super SloMo by Jiang et al.

supervision-by-registration

Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors

tengine

Tengine is a lite, high performance, modular inference engine for embedded device

tf-pose-estimation

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

ugatit-pytorch

Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

ultra-light-fast-generic-face-detector-1mb

💎 一款超轻量级通用人脸检测模型（模型文件大小仅1MB，320x240输入下计算量仅90MFlops）适用于边缘计算设备、移动端设备以及PC

unilm

UniLM - Unified Language Model Pre-training