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.o&H' `"MbHMMMMMMMMMMMHo. General: "3rd year undergraduate MSci computer science student"
.o"" ' vodM*$&&HMMMMMMMMMM?. Aspirations: ["Artificial Intelligence", "Data Science",
,' $M&ood,~'`(&##MMMMMMH\ "Machine Learning"
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& ?MMMMMMMMMMMMMMMMM7MMM$R*Hk Occupation: "Mathematics and English Tutor"
?$. :MMMMMMMMMMMMMMMMMMM/HMMM|`*L Location: "United Kingdom"
| |MMMMMMMMMMMMMMMMMMMMbMH' T, Interests: ["Computer vision", "Human pose estimation",
$H#: `*MMMMMMMMMMMMMMMMMMMMb#}' `? "Generative AI", "Image recognition",
]MMH# ""*""""*#MMMMMMMMMMMMM' - "Data analysis", "Evolutionary algorithms",
MMMMMb_ |MMMMMMMMMMMP' : "Arch Linux", "Simulations", "Fractals", "Mazes"
HMMMMMMMHo `MMMMMMMMMT . ]
?MMMMMMMMP 9MMMMMMMM} - Favourite Language: "Python"
-?MMMMMMM |MMMMMMMMM?,d- ' Current Status: "Completed EoY exams, looking for internships"
:|MMMMMM- `MMMMMMMT .M|. :
.9MMM[ &MMMMM*' `' .
:9MMk `MMM#* - contact me
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`&. . LinkedIn: "linkedin.com/in/talhaahussain/"
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talhaahussain / yolo-nas-pose-simplified Goto Github PK
View Code? Open in Web Editor NEWA simpler (and working) notebook and repo for convinient use of YOLO-NAS-POSE, a human pose estimation model by Deci AI. Aims to run in a less resource intensive manner, by eliminating real-time capture and playback, and instead reading from and writing to permanent image and video files.
License: MIT License