728x90 ๋ฐ์ํ image3 individual bands of image.py from PIL import Imageimport numpy as np im = Image.open('heartbleed.png') # In this case, it's a 3-band (red, green, blue) image# so we'll unpack the bands into 3 separate 2D arrays.r, g, b = np.array(im).T # Let's make an alpha (transparency) band based on where blue is < 100a = np.zeros_like(b)a[b Language 2016. 12. 21. image GPS.py from PIL import Imagefrom PIL.ExifTags import TAGS filename = "sunset.jpg"extension = filename.split('.')[-1]if (extension == 'jpg') | (extension == 'JPG') | (extension == 'jpeg') | (extension == 'JPEG') | (extension == 'PNG') |(extension == 'png'): try: img = Image.open(filename) info = img._getexif() exif = {} for tag, value in info.items(): decoded = TAGS.get(tag, tag) exif[decoded] = value #.. Language 2016. 12. 21. base image.py from PIL import Image img = Image.open("filename.jpg")print(img.size)print(img.format) img.show() Language 2016. 12. 21. ์ด์ 1 ๋ค์ 728x90 ๋ฐ์ํ