Found 126 repositories(showing 30)
angstsmurf
Updated fork of Spatterlight
hpcgarage
Benchmark for measuring the performance of sparse and irregular memory access.
k8spatterns
Website for k8spatterns.com
juandesant
Github repository from version 0.5 of Spatterlight
Attinger-D
Tool that counts and measures stains automatically, for spatter patterns with up to thousands of stains. It then outputs statistics on their shapes, number, and positions. See README.md for use and install. Tool is a set of Octave scripts. Software was presented and described at the 2023 IAI conference. Video presentation at URL below.
lanl
No description available
cuteDen-ECNU
No description available
HansongProgramming
AiCore is a software aimed to enhance bloodstain pattern analysis through means of Computer Vision, and 3D crime scene reconstructions.
hpcgarage
SST Element That Replays Spatter Traces
acocac
Data mining based tool for mapping spatial patterns of forest loss
rhuss
Source code for Kubernetes Patterns book: https://leanpub.com/k8spatterns
caoliu0706
Prediction of SLM spatter behavior by OpenFOAM
knowercoder
Particle system VFX and Decal for simulating the blood spatter
hpcgarage
Spatter results
dbetteb
spatter-tracking
stephansturges
overlay augmentations on training data
tempeparsons
zero-interpolation approach to performing pairwise differential abundance analysis on large, multi-condition, multi-replicate proteomics datasets that are spattered with missing values
scottres
This repository contains a method to reconstruct the motion, or swing, of cast-off spatter patterns. The method is based on stain inspection and Euclidean geometry. The reconstructed swing is represented as a three-dimensional region of statistical likelihood. See the README.md for instructions to install and run the repository scripts.
tobyberster
Binary Spatter Code - Word Sense Disambiguation
nimRobotics
Detection and tracking of spatter for the L-DED process
zfine87
Spatter is a SPA super basic version of Twitter.
KTT24
Spatter | A Forensic Science Experience
parandakbari
No description available
anna-poghosyan2
No description available
MMilorad1389
strytegyPeterln
imnothereanymore2
greece
SunYangtian
No description available
No description available
shrkocat
A deep learning project that utilizes YOLOv12 to automatically detect and segment weld defects — including cracks, porosity, spatters, and welding lines — trained on a 17,063-image dataset annotated via Roboflow.
使用YOLOv8训练一套用于金属表面缺陷检测的数据集，训练权重来识别_包括Crack（裂纹）、Porosity（气孔）、Spatters（飞溅）和Welding line（焊缝线）