Topic: "template-matching"
rmislam/PythonSIFT
A clean and concise Python implementation of SIFT (Scale-Invariant Feature Transform)
Language: Python - Size: 364 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 971 - Forks: 259
DennisLiu1993/Fastest_Image_Pattern_Matching
C++ implementation of a ScienceDirect paper "An accelerating cpu-based correlation-based image alignment for real-time automatic optical inspection"
Language: C++ - Size: 113 MB - Last synced at: 21 days ago - Pushed at: about 2 months ago - Stars: 952 - Forks: 222
kelltom/OS-Bot-COLOR 📦
A lightweight desktop client & toolkit for writing, controlling and monitoring color-based automation scripts.
Language: Python - Size: 117 MB - Last synced at: 10 days ago - Pushed at: about 1 year ago - Stars: 266 - Forks: 149
latsic/imgalign
Webapplication for image stitching and aligning
Language: C++ - Size: 228 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 265 - Forks: 42
slyautomation/osrs_basic_botting_functions
Functions for automating osrs botting using Python.
Language: Python - Size: 19.2 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 216 - Forks: 77
multi-template-matching/MultiTemplateMatching-Python
Object-recognition using multiple templates in python
Language: Jupyter Notebook - Size: 40.1 MB - Last synced at: 1 day ago - Pushed at: about 2 months ago - Stars: 207 - Forks: 43
stb-tester/stb-tester
Automated Testing for Set-Top Boxes and Smart TVs
Language: Python - Size: 24.9 MB - Last synced at: 26 days ago - Pushed at: 27 days ago - Stars: 183 - Forks: 100
eqcorrscan/EQcorrscan
Earthquake detection and analysis in Python.
Language: Python - Size: 284 MB - Last synced at: 10 days ago - Pushed at: about 1 month ago - Stars: 175 - Forks: 90
hakaboom/image_registration
基于opencv的图像识别基础库
Language: Python - Size: 22.9 MB - Last synced at: 2 days ago - Pushed at: almost 3 years ago - Stars: 153 - Forks: 42
kamata1729/QATM_pytorch
Pytorch Implementation of QATM:Quality-Aware Template Matching For Deep Learning
Language: Jupyter Notebook - Size: 4.06 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 151 - Forks: 44
mohammaduzair9/Basic-Image-Processing
Implementation of Basic Digital Image Processing Tasks in Python / OpenCV
Language: Python - Size: 31.2 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 142 - Forks: 43
cozheyuanzhangde/Invariant-TemplateMatching
Rotation & scale invariant template matching
Language: Python - Size: 1.25 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 100 - Forks: 29
paulonteri/play-game-with-computer-vision 📦
A simple python bot (powered by computer vision) used to play a game (City Island 5). The bot is able to play the game and collect points without any human intervention.
Language: Python - Size: 34.9 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 90 - Forks: 7
spyking-circus/spyking-circus
Fast and scalable spike sorting in python
Language: Python - Size: 13 MB - Last synced at: 13 days ago - Pushed at: over 1 year ago - Stars: 89 - Forks: 55
hakaboom/py_image_registration 📦
图像配准算法。包括 SIFT、ORB、SURF、AKAZE、BRIEF、matchTemplate
Language: Python - Size: 10.7 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 63 - Forks: 11
codeperfectplus/ComputerVision-Essentials
Computer Vision Essentials in Python Programming Language :tada:
Language: Python - Size: 24.5 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 61 - Forks: 26
sair-lab/KCC
Kernel Cross-Correlator (KCC) for Tracking and Recognition (AAAI 2018)
Language: Matlab - Size: 1.71 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 49 - Forks: 16
felixchenfy/ros_yolo_as_template_matching
Run 3 scripts to (1) Synthesize images (by putting few template images onto backgrounds), (2) Train YOLOv3, and (3) Detect objects for: one image, images, video, webcam, or ROS topic.
Language: Python - Size: 36.6 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 46 - Forks: 10
Geod-Geom/py2DIC
Python 2D Digital Image Correlation (DIC) Software
Language: Python - Size: 252 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 45 - Forks: 34
octu0/blurry
fast, high peformance image processing library for golang
Language: C++ - Size: 57.3 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 44 - Forks: 5
PennyHow/PyTrx
PyTrx is a Python object-oriented programme created for the purpose of calculating real-world measurements from oblique images and time-lapse image series. Its primary purpose is to obtain velocities, surface areas, and distances from oblique, optical imagery of glacial environments.
Language: Python - Size: 1.17 GB - Last synced at: 2 days ago - Pushed at: about 2 years ago - Stars: 43 - Forks: 25
pageauc/cam-track
Windows, Unix, Raspberry Pi Computer python program to Track Camera X, Y Movements and Convert to Camera Pointing Position. Useful for Stabilization or Robotics Course Correction
Language: Python - Size: 44.9 KB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 41 - Forks: 9
m-hamza-mughal/Aerial-Template-Matching
This project focuses on development of an algorithm for Template Matching on aerial images by implementing classical Computer Vision based techniques and deep-learning based techniques.
Language: Python - Size: 15.5 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 40 - Forks: 10
YijianZhou/MESS
Matched filter earthquake detector
Language: Python - Size: 22.5 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 39 - Forks: 17
abnan/DRMIME
DRMIME - Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration
Language: Jupyter Notebook - Size: 26.8 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 37 - Forks: 10
multi-template-matching/MultiTemplateMatching-Fiji
Fiji plugin for object(s) detection using template(s) matching
Language: Python - Size: 10.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 35 - Forks: 8
andreped/super-ml-pets
🐢 AI for Super Auto Pets
Language: Python - Size: 275 MB - Last synced at: 1 day ago - Pushed at: over 1 year ago - Stars: 35 - Forks: 16
KudryashevLab/TomoBEAR
TomoBEAR is a configurable and customizable modular pipeline for streamlined processing of cryo-electron tomographic data for subtomogram averaging.
Language: MATLAB - Size: 2.96 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 28 - Forks: 6
MinhasKamal/SkinDetector
Detects Human Skin From Image (color-region-segmentation-photo-detection-extraction-detect)
Language: Java - Size: 19.4 MB - Last synced at: 2 months ago - Pushed at: over 8 years ago - Stars: 28 - Forks: 7
strarsis/node-opencv-templatematching-test
Test for template matching using node-opencv
Language: JavaScript - Size: 22.5 KB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 25 - Forks: 3
multi-template-matching/mtm-python-oop
A more object-oriented python implementation of multi-template matching (mtm), relying on scikit-image and shapely.
Language: Jupyter Notebook - Size: 38.4 MB - Last synced at: 5 days ago - Pushed at: over 3 years ago - Stars: 24 - Forks: 3
Yeaseen/ML_Pattern
:trident: Some recognized algorithms[Decision Tree, Adaboost, Perceptron, Clustering, Neural network etc. ] of machine learning and pattern recognition are implemented from scratch using python. Data sets are also included to test the algorithms.
Language: Python - Size: 6.44 MB - Last synced at: about 2 months ago - Pushed at: about 6 years ago - Stars: 23 - Forks: 3
stgl/scarplet
Topographic edge detection of fault scarps and other landforms in digital elevation data
Language: Python - Size: 30.4 MB - Last synced at: 9 days ago - Pushed at: over 5 years ago - Stars: 22 - Forks: 7
michaeltroger/template-matching-android
Augmented Reality Template Matching using OpenCV 4 for >= Android 5
Language: Kotlin - Size: 231 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 19 - Forks: 10
urholaukkarinen/template-matching
GPU-accelerated template matching for Rust
Language: Rust - Size: 65.4 KB - Last synced at: 18 days ago - Pushed at: almost 2 years ago - Stars: 18 - Forks: 4
UCSD-E4E/PyHa
A repo designed to convert audio-based "weak" labels to "strong" intraclip labels. Provides a pipeline to compare automated moment-to-moment labels to human labels. Methods range from DSP based foreground-background separation, cross-correlation based template matching, as well as bird presence sound event detection deep learning models!
Language: Jupyter Notebook - Size: 373 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 17 - Forks: 11
MinhasKamal/AlphabetRecognizer
Simple Optical Character Recognizer (english-ocr-image-to-text-recognition-sample-trainig-alphabet-photo-data-database-dataset)
Language: Java - Size: 3.43 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 17 - Forks: 11
robertarvind/Interactive-Semi-Automatic-Image-2D-Bounding-Box-Annotation-Tool-using-Multi-Template_Matching
Interactive Semi Automatic Image 2D Bounding Box Annotation and Labelling Tool using Multi Template Matching An Interactive Semi Automatic Image 2D Bounding Box Annotation/Labelling Tool to aid the Annotater/User to rapidly create 2D Bounding Box Single Object Detection masks for large number of training images in a semi automatic manner in order to train an object detection deep neural network such as Mask R-CNN or U-Net. As the Annotater/User starts annotating/labelling by drawing a bounding box for a few number of images in the selected folder then the algorithm suggests bounding box predictions for the rest of the yet to be annotated/labelled images in the folder. If the predictions are right then the user/annotater can simply press the keyboard key 'y' which indicates that the detected bounding box is correct. If the prediction is wrong then the user/annotater can manually draw a rectangular 2D bounding box over the correct ROI (Region of interest) in the image and then press the key 'y' to proceed further to the rest of the images in the folder. If the user/annotater made a mistake while drawing the 2D bounding box, then he/she can press the key 'n' in order to remove the incorrectly marked 2D bounding box and he/she can repeat the process for the same image until he/she draws the correct 2D bounding box and then after drawing the correct 2D bounding box, the user/annotater may press the key 'y' to continue to the rest of the images. The 2D bounding box prediction over the whole image data set improves as the user/annotater annotates/labels more number of images by drawing 2D bounding boxes. This tool allows the user/annotater to not only interactively and rapidly annotate large number of images but also to validate the predictions at the same time interactively. This tool helps the user/annotater to save a lot of time when annotating/labelling and validating the predictions for a large number of training images in a folder. Instructions to use:- 1. If the training images are in JPEG or any other format, then convert them to PNG format using some other tool or program before using these images for annotation. 2. All the training images must contain the object of interest which is to be annotated. 3. Currently the application only supports 2D bounding box annotation for single object detection per image, but in the future semantic segmentation based annotation features will be added which will allow precise boundary segmentation masks of an object in an image. 4. If some or all of the training images have varying dimensions(shapes/resolutions), then resize them to the same dimensions using this tool by providing the height and width to which all the training images need to be resized to. The height and width are inputed separately in two different dialog boxes which pop up once the program is executed. If the training images need not be resized then press the cancel button in the dialog boxes requesting the height and width. 5. Select the folder containing the training images by navigating to the folder containing the training images through a dialog box which pops up after the program is executed. If the images need to be resized then two dialog boxes pop up. The first dialog box is to navigate to the destination folder containing the unresized raw training images and after resizing another dialog box pops up to navigate to the folder containing the saved resized training images named as "resized_data". If the images need not be resized then only one dialog box pops up so that the user can navigate to the raw training images folder directly. 6. The images in the folder pop up one by one. After drawing the correct 2D bounding box over the ROI (region of Interest), press the 'y' key. Except the first image, the rest of the images will have a 2D bounding box drawn over them. If the predicted box is accurate, then continue by pressing the 'y' key. If the prediction is incorrect, then draw the accurate bounding box and press the 'y' key. If any mistake occured while drawing the 2D box, then reset the image by removing the incorrect drawing by pressing the 'n' key and then draw the correct box and press the 'y' key. 7. The output images are stored in four different folders in the same directory containing the training images folder. among the four folders, one contains the cropped templates of the bounding boxes, black and white mask images, training images and the images with 2D box detection markings.
Language: Python - Size: 7.36 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 17 - Forks: 5
magesh-technovator/feature-matching-opencv-python
Image key points Extraction, Description, Feature Matching
Language: Python - Size: 6.64 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 16 - Forks: 9
swiss-seismological-service/scdetect
A computationally efficient earthquake detection module for SeisComP
Language: C++ - Size: 21.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 15 - Forks: 6
Hank-Tsou/Computer-Vision-OpenCV-Python
Language: Python - Size: 17 MB - Last synced at: 11 days ago - Pushed at: about 1 month ago - Stars: 13 - Forks: 3
eqcorrscan/RT_EQcorrscan
Real-Time implementation of EQcorrscan methods.
Language: Python - Size: 3.16 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 13 - Forks: 6
saimj7/Object-Detection-Algorithms
Detection algorithms and applications from famous papers; simple theory; solid code.
Language: Python - Size: 103 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 13 - Forks: 4
michaeltroger/feature-matching-native-android
Augmented Reality Template Matching (Feature Matching) using OpenCV 4 for >= Android 5 using the NDK and an async approach (Coroutines)
Language: Kotlin - Size: 440 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 12 - Forks: 6
dheesaur/Marker-Based-Localisation-UAVs
The aim of this project is to use a down facing camera as a range and bearing sensor for a quadcopter for localization purposes. The environment and robot is simulated in a robot simulator V-REP, the environment consists of a 10mx10m grid with colored markers placed at regular intervals. Performance of different algorithms for marker detection is evaluated based on the error in the localization accuracy. The algorithms used are contour detection, template matching and phase correlation.
Language: Python - Size: 7.55 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 12 - Forks: 6
Hank-Tsou/Template-Matching
Searching the location of a template or a target image.
Language: Python - Size: 130 KB - Last synced at: 11 days ago - Pushed at: almost 6 years ago - Stars: 12 - Forks: 2
giusalfieri/IPA_Project
Aircraft detection in satellite images using computer vision and machine learning.
Language: C++ - Size: 273 MB - Last synced at: 23 days ago - Pushed at: 11 months ago - Stars: 10 - Forks: 0
ManuelGil/vscode-moodle-snippets
🎓 This extension provides Moodle snippets for PHP, XML and Mustache files. It also provides commands to create new files for Moodle.
Language: JavaScript - Size: 2.2 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 3
ntthanh2603/finding-object
Size: 5.03 MB - Last synced at: 10 days ago - Pushed at: about 2 months ago - Stars: 9 - Forks: 0
ManuelGil/vscode-mustache-snippets
This extension provides Mustache template engine support for Visual Studio Code. It helps you to write your Mustache files with syntax highlighting and code completion.
Language: JavaScript - Size: 1.39 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 9 - Forks: 1
cheshire137/overwatch-counter-picker
"Should I go Hanzo? I should definitely go Hanzo." See which hero you should pick in Overwatch based on your team composition.
Language: Python - Size: 7.63 MB - Last synced at: 6 days ago - Pushed at: about 7 years ago - Stars: 9 - Forks: 1
CarsonScott/Adaptive-Template-Model
Adaptive Template Model of Intelligence
Language: Python - Size: 1.14 MB - Last synced at: over 2 years ago - Pushed at: almost 8 years ago - Stars: 9 - Forks: 0
alncat/opusTomo
structural heterogeneity analysis for cryo-ET subtomogram
Language: Python - Size: 15.3 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 8 - Forks: 0
michaeltroger/feature-matching-android
Augmented Reality Template Matching (Feature Matching) using OpenCV 4 for >= Android 5
Language: Kotlin - Size: 220 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 3
hansalemaos/usefuladbplus
Automation library for ADB / Android
Language: Python - Size: 205 KB - Last synced at: 20 days ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 1
PowercoderJr/lords-gifts-counter
Guild gifts counter for mobile game Lords Mobile for automatic accounting
Language: Python - Size: 58.6 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 8 - Forks: 4
Escapist-007/CVIP_Projects
The projects are part of the graduate-level course CSE-573 : Computer Vision and Image Processing [Spring 2019 @ UB_SUNY] Course Instructor : David Doerman (https://cse.buffalo.edu/~doermann/)
Language: Python - Size: 50.3 MB - Last synced at: 3 days ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 2
MahmudulAlam/Heart-Rate-Tracking
Heart rate tracking using the window method and template matching.
Language: MATLAB - Size: 163 KB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 8 - Forks: 3
nmssilva/augmented_perception
Semi-automatic detection, tracking and labelling of active targets for autonomous driving.
Language: C++ - Size: 481 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 8 - Forks: 0
gholomia/CTMC
Implementation and optimization of image template matching with CUDA.
Language: C++ - Size: 194 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 7 - Forks: 4
alesiong/template-matching
Simple template matching by GPU (CUDA)
Language: Cuda - Size: 787 KB - Last synced at: about 2 months ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 3
AkhilRai28/Arrow-Detection
Arrow Detection using OpenCV and Python for controlling a rover based on detected arrow directions.
Language: C - Size: 41 KB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 6 - Forks: 3
unvermuthet/waldo-lib
Javascript library for fast and simple template matching without weird opencv bindings!
Language: TypeScript - Size: 875 KB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 6 - Forks: 0
spyking-circus/spyking-circus-ort
Offline real time (ort) implementation of SpyKING CIRCUS
Language: Python - Size: 68.2 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 2
njh27/spikesorting_fullpursuit
Neural spike sorting algorithm based on iso-cut clustering and template matching in raw voltage space for the detection of near-simultaneous spike events.
Language: Python - Size: 3.48 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 1
cvankir2/nsf_auburn
Information and relevant research from 2021 Auburn University REU on Smart UAVs. Computer Vision through terrain image processing, specifically through implementations of SIFT (feature matching) and template matching.
Language: Python - Size: 133 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 3
frallebini/particle-swarm-optimization
An implementation of particle swarm optimization and its application to the computer vision task of object detection via template matching
Language: Python - Size: 53.8 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 5 - Forks: 0
yashodeepchikte/Multi-Template-Matching
A versatile Methodology or pipeline for object-localization in microscopy images using Template Matching
Language: Python - Size: 47 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 0
prakass1/detect-traffic-signs
Recognizing Traffic signs from GTSRB dataset ||:red_circle:||:small_red_triangle:||:small_red_triangle_down:||
Language: Python - Size: 42.7 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 3
sunsided/convolution-template-matching
Template Matching by Convolution in MATLAB
Language: Matlab - Size: 325 KB - Last synced at: 3 months ago - Pushed at: almost 9 years ago - Stars: 5 - Forks: 2
SurfaceMan/gray_match
template match base gray model (Normalized cross correlation)
Language: C++ - Size: 2.46 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 4 - Forks: 0
Neucrede/libsmod
2D shape model based template matching
Language: C++ - Size: 25.6 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 4 - Forks: 2
ephell/Sadidauto-Dofus-Retro-Bot
Sadidauto is a bot tailored for the Sadida class in Dofus Retro.
Language: Python - Size: 21.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0
SmilyOrg/findimg
Simple Go-based image template matching command line tool
Language: Go - Size: 157 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0
marvk/sigmarsgarden
Opus Magnum's Sigmar's Garden Autosolver, using OpenCV Template Matching
Language: Java - Size: 216 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0
llllTnTlll/EarlyBird
基于机器视觉的脚本框架
Language: Python - Size: 101 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 3
wangliang1989/gfmf
GFMF：一个基于理论波形（格林函数）的匹配滤波方法
Language: Fortran - Size: 40 KB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0
AmirNiaraki/TreeDetection
A color-based classifier to detect the trees in google image data along with tree visual localization and crown size calculations via OpenCV.
Language: Python - Size: 13.2 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 2
neemiasbsilva/object-detection-opencv
This repository was created to show some techniques using Python and OpenCv
Language: Jupyter Notebook - Size: 13.3 MB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 2
zhangchicheng/Credit_Card_OCR
Apply OCR to recognize the sixteen digits on the credit card.
Language: C++ - Size: 448 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 4 - Forks: 0
arunabh98/Fiducial-Localization
6th Inter-IIT Tech Meet 2018
Language: Python - Size: 18.6 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 0
vitowalteranelli/OpenCV-GPU-matchTemplate
The OpenCV matchTemplate primitive for gpu has been adapted in order to enable calculations on 32-bit floating-point raw data.
Language: C++ - Size: 23.4 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 2
CrossyChainsaw/brawl-template-matcher
Application that uses Computer Vision to scan an .mp4 for a given image, capturing screenshots and timestamps of matches.
Language: Python - Size: 179 MB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 3 - Forks: 0
efecanxrd/Signature-Recognition
Signature recognition using template matching and correlation
Language: Python - Size: 147 KB - Last synced at: 4 months ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0
magicsih/grpc-opencv-recognizer
gRPC based Template matching and OCR server with OpenCV
Language: C++ - Size: 23.4 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0
sonipuneet/object-x-detection
Language: Jupyter Notebook - Size: 37.5 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0
Randulfe/Turtlebot-CV-AI-project
Project using ROS and CV to navigate with a turtlebot a maze and identify pictures of cluedo characters.
Language: Python - Size: 24.4 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 0
ShiroHirano/DiallelX
DiallelX is a CPU-oriented modern fortran program to approximate Network Cross-Correlation coefficients (NCCs) among multiple continuous records and template waveforms observed at multiple seismic stations. The results, relatively less accurate but sufficient to find new seismic events, are obtained several-fold faster than a conventional scheme.
Language: Fortran - Size: 252 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0
q-viper/Neural-Template-Matching
A repo to perform template matching based on neural networks.
Language: Jupyter Notebook - Size: 86.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0
nomadsdev/veil-sight-python
VeilSight is a tool for automating window detection, image recognition, and text extraction on Windows, designed to boost productivity by simplifying repetitive tasks.
Language: Python - Size: 123 KB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 1
himanshumahajan138/FraudGuard
This system utilizes Optical Character Recognition (OCR) extracts text, while computer vision techniques map document layout. Then, SIFT (Scale-Invariant Feature Transform) cleverly matches documents to pre-defined templates, even with variations. This intelligent matching helps identify potential fraud for further investigation.
Language: Python - Size: 171 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 2 - Forks: 0
KroSheChKa/BasketBot
A bot that plays basketball for you (OpenCV + mss).
Language: Python - Size: 205 KB - Last synced at: 26 days ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0
KroSheChKa/FootBot
Automated bot, which performs the role of goalkeeper in mini soccer.
Language: Python - Size: 35.2 KB - Last synced at: 26 days ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0
philongbuile/lug_detection
Genetic Algorithms' Applications in Lug Detection
Language: Python - Size: 48.8 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
enesozi/template_matching
OpenCV Template Matching
Language: Python - Size: 16.4 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
Adk2001tech/Biometric-Backdoors
Research work on biometric security and template updation using Machine Learning.
Language: Jupyter Notebook - Size: 28.8 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0
brugr9/Crosswalk 📦
Meet The Beatles at Abbey Road for Image Processing.
Language: Jupyter Notebook - Size: 946 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0
mashadab/drop-dynamics
A MATLAB code which reads numbers in a video, references, and calculates drop dynamics' characteristics
Size: 20.7 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 3
srajan-kiyotaka/HackTheGames
All The Codes Used in The Workshop of HackTheGames Event in the Cepheus'22.
Language: Jupyter Notebook - Size: 8.29 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0
FrancescoScandiffio/Foucault-pendulum-tracking-system
Tracking system with perspective correction for a Foucault pendulum. Sphere recognition is achieved through template matching (ZNCC). When running on Raspberry-Pi4 it extracts 10 points per second.
Language: C++ - Size: 41.9 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0
