abdullahtarek/football_analysis
This repository contains a comprehensive computer vision/machine learning football project that uses YOLO for object detection, Kmeans for pixel segmentation, optical flow for motion tracking, and perspective transformation to analyze player movements in football videos
Jupyter Notebook
Stargazers
- 0xMiguel@millionscard
- ai-in-pm
- ashwinnair14Mobius Labs GmbH
- bekmarcLGG
- christiankremserFlashEyeStudio
- codevoyager1984ai.infmonkeys.com
- colinjonesx
- cpoptic
- CtrCodexKingston, JA
- EmileJ11
- felipeadsmBrasil
- Gobishangar1SenzMate
- gogog01-29-2021ITM
- guquandaju012
- jefferson-norberto2
- JonanOribe@Quantum-Mads @Eurohelp
- Korck-labFlorianĂłpolis, Brazil
- llIllIllllIIIlllllll
- mahavatara
- mladen-borovicUM FERI
- mr-pablinho
- nano996
- nggocnnHa Noi, Vietnam
- nodoyuna09
- PhylumChordata
- raulgomisSenior Engineering Manager @Atlassian
- saarimshaikhLovely Professional University
- selflara12
- sooch27
- SultanRafi22
- thealper2Istanbul, Turkey
- TheScorpoi@detiuaveiro
- TranTop2806
- txctxcXi'an JiaoTong University
- upgraide
- xuezhou08