Page 618 - MDP2020-1

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url = baseUrl + quote_plus(plusUrl) # 한글 검색 자동 변환
html = urlopen(url)
soup = bs(html, "html.parser")
img = soup.find_all(class_='_img')

n = 1
for i in img:
print(n)

imgUrl = i['data-source']
with urlopen(imgUrl) as f:
with open(‘/‘ + plusUrl + str(n)+'..jpg) as h: #이미지 저장
img = f.read()
h.write(img)
n += 1

if n > crawl_num:
break

print('Image Crawling is done.') #저장 완료후 확인 메시지 출력

이미지 분석을 위한 딥러닝 과정
가. 이미지 파일 학습(입력) 데이터로 변경
import os, re, glob

import cv2
import numpy as np

from sklearn.model_selection import train_test_split

groups_folder_path = '/tmp/TT/' #이미지 파일 경로
categories = ["wildboar", "humans"] #카테고리

num_classes = len(categories)

image_w = 28 #이미지 사이즈 결정

image_h = 28

X = []

Y = []