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ac

Machine learning and deep learning were used to conduct affective computing on DEAP data sets and AMIGOS data sets.

adminfortrain

java project

antonkomarev

c-3-framework

An open-source PyTorch code for crowd counting

c-learning

C++ Learning record

datastructure

Data structure learning&The Code

dorapy

Dorapy is a deep learning framework that focuses on data pre-processing.🛸

dotnets

Create simple drawings of neural networks using graphviz

fire-smoke-detect-yolov4

fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测，烟雾检测

gylaf

Guess You Like About Food🍗.Canteen automatic settlement and intelligent meal recommendation system.

gymms

Gym management system based on SSM.

lanenet-lane-detection

Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mytools

🤖The all-inclusive Python toolkit🛠️.

opencv-python-tutorial

📖 OpenCV-Python image processing tutorial for beginners

paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

pgcai

puguang-cai

蔡普光的个人主页

skalskip

solar_wind

Prediction of solar wind.

stereo-matching-python

Python implementation of various stereo matching algorithms.

tdam

Implementation code for the paper "Solar Wind Speed Prediction With Two-Dimensional Attention Mechanism"

tinynn

A lightweight deep learning library

unipose

We propose UniPose, a unified framework for human pose estimation, based on our “Waterfall” Atrous Spatial Pooling architecture, that achieves state-of-art-results on several pose estimation metrics. Current pose estimation methods utilizing standard CNN architectures heavily rely on statistical postprocessing or predefined anchor poses for joint localization. UniPose incorporates contextual seg- mentation and joint localization to estimate the human pose in a single stage, with high accuracy, without relying on statistical postprocessing methods. The Waterfall module in UniPose leverages the efficiency of progressive filter- ing in the cascade architecture, while maintaining multi- scale fields-of-view comparable to spatial pyramid config- urations. Additionally, our method is extended to UniPose- LSTM for multi-frame processing and achieves state-of-the- art results for temporal pose estimation in Video. Our re- sults on multiple datasets demonstrate that UniPose, with a ResNet backbone and Waterfall module, is a robust and efficient architecture for pose estimation obtaining state-of- the-art results in single person pose detection for both sin- gle images and videos.