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Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition
simple and lightweight humanpose estimation
This repository is the result of my curiosity to find out whether ShelfNet is an efficient CNN architecture for computer vision tasks other than semantic segmentation, and more specifically for the human pose estimation task. The answer is a clear yes,
Image augmentation for machine learning experiments.
Gaze estimatin code. The Pytorch Implementation of "Eye Tracking for Everyone".
JSON for Modern C++
This is the official location of the Kaldi project.
The Kalibr visual-inertial calibration toolbox
KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.
Pruning and other network surgery for trained Keras models.
Training and Detecting Objects with YOLO3
A Keras implementation of YOLOv3 (Tensorflow backend)
use keras to do image classification tasks
A Clear SSD Implementation in Keras and TensorFlow with Training and Predict.
General code to convert a trained keras model into an inference tensorflow model
5th place solution for the Kaggle Kuzushiji Recognition Challenge
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Gaze Estimation via Deep Neural Networks
An open source library for face detection in images. The face detection speed can reach 1000FPS.
This is an official pytorch implementation of Lite-HRNet: A Lightweight High-Resolution Network.
[CVPR2023] Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation
[CVPR'22] Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation
专门面向中文用户的机器学习相关的学习资料大集合
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Multiscale Combinatorial Grouping - Object Proposals and Segmentation
A research project for text detection and recognition using PyTorch 1.2.
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.