Il Riconoscimento Automatico con Python delle carte di Yu-Gi-Oh!

By masayume on Wed, 17/03/2021 - 00:00
categorie
giochi
boardgames
grafica
Resources

Morphing Jar | Card Details | Yu-Gi-Oh! trading card
Anthony Lowhur è stato intervistato sul suo rivoluzionario riconoscimento con python di oltre 10000 carte di Yu-Gi-Oh: Recognizing 10,000 Yugioh Cards with Computer Vision and Deep Learning. Questa tecnologia può essere molto utile anche per i collezionisti.

Antohony ha fatto uso di vari trucchi e strategie tra le quali:
- Siamese networks
- Triplet loss
- Keypoint matching for final reranking

wikipedia
Yu-Gi-Oh! API Guide - YGOPRODECK
ResNet101
Making Convolutional Networks Shift-Invariant Again
4 Point OpenCV getPerspective Transform Example
YOLO — You only look once, real time object detection explained
Deep Learning for Computer Vision with Python

Yu-Gi-Oh! Random Card
The Most Expensive Yugioh Cards of All Time

How to Use OpenCV and Python for Computer Vision and AI


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