ximiluuuu's starred repositories
Solar_Cell_parameter_extraction_method
Solar Cell parameter extraction method (fitting with a LambertW curve)
anyRTC-RTMP-OpenSource
RTMP 推流器,RTMP(HLS)秒开播放器,直播点播,跨平台(Win,IOS,Android)开源代码
rtmp_video_stream
A Python based Streamer for streaming RTMP stream
Shockley-Queisser-limit
Calculation and visualization tools for theoretical solar cell efficiencies based on the Shockley Queisser limit with options to change temperature, light intensity, and radiative efficiency
Intrinsic-Image-Decomposition
Implementation of single image intrinsic decomposition
Non-Local-Means
Python implementation of the Non Local Means algorithm for image denoising.
PV_Pipeline
PyTorch models and pipeline developed for "DeepSolar for Germany". For reference, the paper can found at https://ieeexplore.ieee.org/document/9203258
PyQt5-SerialPort-Stable
PyQt5 写的 GUI 串口调试助手稳定版
G2R-ShadowNet
CVPR2021 From Shadow Generation to Shadow Removal
ST-CGAN_Stacked_Conditional_Generative_Adversarial_Networks
Unofficial implementation of ''Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal'' with PyTorch
Photovoltaic-Model
Photovoltaic-Model: calculates the current-voltage characteristic of a solar cell using the two-diode model, with a possibility to fit an experimental characteristic
Reliable-frequency-regulation-through-vehicle-to-grid
Code and data for the article "Reliable frequency regulation through vehicle-to-grid: Encoding legislation with robust constraints" by Dirk Lauinger, François Vuille, and Daniel Kuhn available at https://pubsonline.informs.org/doi/10.1287/msom.2022.0154 and https://arxiv.org/pdf/2005.06042v4.pdf. This project was funded by the Institut VEDECOM.
Mask-ShadowGAN
ICCV 2019
ImageEnhancement
Various models for handling underexposure, overexposure, super-resolution, shadow removal, etc.
PV_defect_detection
Multi-label defect detection for Solar Cells from Electroluminescence images of the modules, using Deep Learning
SegLossOdyssey
A collection of loss functions for medical image segmentation
Awesome-Knowledge-Distillation
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
yolov5_prune
yolov5 prune,Support V2, V3, V4 and V6 versions of yolov5
involution
[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
Image-Dehazing
图像去雾论文和代码的总结
Cholmod-Scikit-Sparse-Windows
Set up cholmod and scikit-sparse python package on Windows.
CVPR2024-Papers-with-Code
CVPR 2024 论文和开源项目合集