Abbas Elmas (abbaselmas)

abbaselmas

Geek Repo

Company:Çukurova University

Location:Turkey

Home Page:https://aa.bbs.tr/

Twitter:@aabbstr

Github PK Tool:Github PK Tool


Organizations
cengcu
cukurovablock

Abbas Elmas's repositories

tradingview-indicator-combination

tradingview free version hack, combination of multiple indicators in 2 indicators

Comparative-study-of-detectors-descriptors-and-matching-of-points-of-interest

In this project, we tested and evaluated the performance of several most used interest point detectors such as (SIFT, AKAZE, ORB, BRISK, KAZE, FAST, STAR and MSER), several descriptors such as (SIFT, AKAZE, ORB, BRISK, KAZE, FREAK, LATCH, LUCID and BRIEF) and several matching methods such as (Brute-Force L1, Brute-Force L2 and Brute-Force HAMMING),

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EdgeBreaker

EdgeBreaker implementation of Dinesh Shikhare (dinesh@ncst.ernet.in)

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3D-Model-Dataset

MSc 3D Mesh Compression Dataset

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aabbstr

Academic site of Abbas Elmas on netlify

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abbaselmas

Config files for my GitHub profile.

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AirSim-config

AirSim config file for PhD thesis syntetic data collection

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Assignment

Assignment template

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colmap-parameters

Some information about parameters and options available in COLMAP - SfM & MVS software. https://colmap.github.io

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feature-combinations

PhD thesis python code

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colmap_3d_recon

🏡 Structure-from-Motion (SfM) and Multi-View Stereo (MVS)

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Datasets-of-MVS-reconstruction

collation of sites of open source datasets for 3d mvs reconstrucion

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GEOCEN

Geographic Data Processing PhD course practices

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geometry-photogrammetric-reconstructions

An independent tool for managing sparse photogrammetric reconstructions

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glance

A self-hosted dashboard that puts all your feeds in one place

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google-coding-competitions-archive

Google Coding Competitions problem archive

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MarkerlessDetector

MarkerlessDetection using homography, enabling to choose between lots of detectors, descriptors and match and homography methods (using templates from la Coupe de France de Robotique 2019)

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Matching-of-extremely-variant-image-pairs

This repository provides the MATLAB Code (which uses MEX files of OpenCV Library) for Matching 10 Extremely Variant Image Pairs. This code was used for experiments in the research paper entitles: "Potential of SIFT, SURF, KAZE, AKAZE, ORB, BRISK, AGAST, and 7 More Algorithms for Matching Extremely Variant Image Pairs".

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NodeCM

GPU-enabled photogrammetry pipeline to generate point clouds, orthophotos and elevation models from aerial images using COLMAP.

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notebooks

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

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Pix2Model

Photogrammetry for everyone!

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super-colmap

SuperPoint replace the sift in colmap framework

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ublock-filters

ublock filters for local news sites

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