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a-light-and-fast-face-detector-for-edge-devices

A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......

aceloss

Implementations of "Learning Euler's Elastica Model for Medical Image Segmentation"

active-boundary-loss

Official repository for Active Boundary Loss for Semantic Segmentation.

adassourrondview

The C++ code demo for surround view of car

ai-platform

AI开发者平台。目的是要搭建一个采集视频图像并调用API进行智能化数据标注，训练完成之后进行自动化测试的平台。

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

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。

astra-toolbox-for-cone-beam

This is a collection of Python scripts for implementing ASTRA Toolbox for cone-beam X-ray CT reconstruction.

cameracalibration

Fisheye or Normal Camera Intrinsic and Extrinsic Calibration. Surround Camera Bird Eye View Generator.

cbct-interactive-segmentation-tool-based-on-mitk

口腔CBCT交互式分割工具

centerface

face detection

centerface.pytorch

unofficial version of centerface, which achieves the best balance between speed and accuracy at face detection

centernet

Object detection, 3D detection, and pose estimation using center point detection:

centernet-darknet

Darknet implementation of CenterNet

centernet-lite

A resnet18 version of CenterNet（objects as points）

centernet_mobilenetv2_ncnn

centernet_mobilenetv2 inference by ncnn

centernet_ncnn

centernet_pro_max

Experiments based on CenterNet (more backbones, TensorRT deployment and mask head)

chineseocr_lite

超轻量级中文ocr，支持竖排文字识别, 支持ncnn推理 , psenet(8.5M) + crnn(6.3M) + anglenet(1.5M) 总模型仅17M

cnn_depth_tensorflow

depth estimation using tensorflow

darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

darknet_face_with_landmark

加入关键点的darknet训练框架，使用yolov3实现了轻量级的人脸检测

dbface

DBFace is a real-time, single-stage detector for face detection, with faster speed and higher accuracy

dbface_ncnn_demo

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

depth-vo-feat

Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

determined

Determined: Deep Learning Training Platform

dif-net

MICCAI 2023: Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction

easyface

A lightweight face recognition, high accuracy, real-time, cross-platform

easyquant