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365-days-computer-vision-learning-linkedin-post

365 Days Computer Vision Learning Linkedin Post

all_sky_cloud_detection

find clouds on allsky images using skimage and astropy

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

basemap

bifacialvf_mismatch

Bifacial PV View Factor model for system performance calculation

biomedical-image-segmentation-via-cmm-net

Biomedical Image Segmentation via RMSPP-UNet

brightsolarmodel

The Bright Solar Model (SIG, and SDSIG) as detailed in the Journal of Solar Energy

bsrn_matlab_extractor

Process and extract all BSRN data from the raw format straight from ftp download. It includes the unzipping of .data.gz files, the removal of older versions, the reading of the .dat files and the combining of each site into a a single .csv.

building-machine-learning-pipelines

Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson

bundlefusion

[Siggraph 2017] BundleFusion: Real-time Globally Consistent 3D Reconstruction using Online Surface Re-integration

clear-sky-models

A library of clear-sky irradiance models

cloud-base-reconstruction

Algorithm estimating 3D models of the base of clouds in real world coordinates. It uses two images captured at the same time by two whole sky imagers positioned about 100 meters away.

cloud-coverage-calculator

This project involves analyzing images of clouds using OpenCV.

cloud-rain-monitor

Device to measure sky conditions (rain and cloud) for an astronomical observatory

cloudynight

Code and example data repository for Mommert (2020): Cloud Identification from All-sky Camera Data with Machine Learning, Astronomical Journal, 159

csd-library

Clear-sky irradiance detection methodologies from literature

curso-qgis-python

deq-flow

[CVPR 2022] Deep Equilibrium Optical Flow Estimation

drn

Dilated Residual Networks

engerer2-separation-model

Code for the Engerer2 diffuse fraction separation model following the newly parameterised version published in the Journal of Renewable and Sustainable Energy. The model estimates the diffuse horizontal irradiance from inputs of global horizontal irradiance, latitude, longitude and time.

fast-sza-and-saa-computation

The implementation of the fast algorithm for computation of the Solar Zenith Angle (aka SZA) and Solar Azimut Angle (aka SAA) based on the logic proposed by Roberto Grena in 2012 (https://doi.org/10.1016/j.solener.2012.01.024). The precision of the algorithm is 0.3 degrees for the SZA and 0.5 degrees for the SAA (mean-average error).

fisheyemodel

Python project based on OpenCV module to model FishEye camera and undistort acquired images

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

fred-gencumsky

gma

Learning to Estimate Hidden Motions with Global Motion Aggregation (ICCV 2021)

hdr-cloud-segmentation

Segmentation of sky/cloud images using HDR Imaging

kubric

A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

nn-svg

Publication-ready NN-architecture schematics.

orac

Optimal Retrieval of Aerosol and Cloud

pvsc_bibliometrics