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Head vs breakz
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1330번 a,b = map(int, input().split()) if a>b : print(">") elif a < b : print("
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YOLO CODE import cv2 as cv import argparse import numpy as np import os.path from matplotlib import pyplot as plt %matplotlib inline # Initialize the parameters confThreshold = 0.5 #Confidence threshold nmsThreshold = 0.4 #Non-maximum suppression threshold inpWidth = 416 #Width of network's input image inpHeight = 416 #Height of network's input image # Load names of classes classesFile =..
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ArXiv에서 개인적으로 본 논문에 대한 abstract정리를 이제는 짝꿍과 같이 시작하였습니다. 저와 짝꿍이 관심을 가지고 보고 있는 논문을 여기서 확인 할 수 있습니다 : ) 아티히어로 artihero.tistory.com
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https://arxiv.org/abs/1910.09798v1 Improving Siamese Networks for One Shot Learning using Kernel Based Activation functions The lack of a large amount of training data has always been the constraining factor in solving a lot of problems in machine learning, making One Shot Learning one of the most intriguing ideas in machine learning. It aims to learn information about object c arxiv.org