August 2021
Beginner to intermediate
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Content preview from fastai와 파이토치가 만나 꽃피운 딥러닝
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467
11
fastai의 중간 수준 API로 데이터 변환하기
splitter=GrandparentSplitter(valid_name=’test’)
).dataloaders(path)
단지 지금은 모든 부분을 사용자 정의하는 방법을 배웠습니다!
그러면 지금까지 배운 중간 수준
API
를 영상 처리용 데이터 전처리에 적용하여 연습해보죠.
11.3
API
SiamesePair
Siamese
은 두 장의 이미지를 입력받아 이 둘이 같은 범주인지를 판단하는 모델입니다.
다시 반려동물 데이터셋을 사용해보죠. 단 이번에는 두 동물의 이미지가 같은 품종인지를 판단
하는 모델에 입력할 수 있는 형태로 데이터를 준비해야 합니다. 지금부터는
Siamese
모델에
입력할 데이터를 준비하는 방법을 다룹니다. 모델을 학습시키는 부분은
15
장에서 다룹니다.
우선 이미지 목록을 취득해야 합니다.
from fastai.vision.all import *
path = untar_data(URLs.PETS)
files = get_image_files(path/”images”)
데이터를 화면에 출력하는 부분을 고려하지 않는다면, 변형을 하나만 만들어도 이미지 파일 목
록을 완전히 전처리할 수 있습니다. 하지만 실제 이미지를 화면에 출력하려면 사용자 정의 자
료형을 만들어야만 ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.