from PIL import ImageColor
print(ImageColor.getcolor('red', 'RGBA'))
# 也可以只以RBG的方式查看
print(ImageColor.getcolor('black', 'RGB'))

(255, 0, 0, 255)
(0, 0, 0)

from PIL import Image

im_path = r'F:\Jupyter Notebook\csv_time_datetime_PIL\rabbit.jpg'
im = Image.open(im_path)
width, height = im.size
# 宽高
print(im.size, width, height)
# 格式，以及格式的详细描述
print(im.format, im.format_description)

im.save(r'C:\Users\Administrator\Desktop\rabbit_copy.jpg')
im.show()

(1920, 1080) 1920 1080
JPEG JPEG (ISO 10918)

# 通常使用RGB模式就可以了
newIm= Image.new('RGB', (100, 100), 'red')
newIm.save(r'C:\Users\Administrator\Desktop\1.jpg')

# 也可以用RGBA模式，还有其他模式查文档吧
blcakIm = Image.new('RGB',(200, 100), 'red')
blcakIm.save(r'C:\Users\Administrator\Desktop\2.jpg')
# 十六进制颜色
blcakIm = Image.new('RGBA',(200, 100), '#FF0000')
blcakIm.save(r'C:\Users\Administrator\Desktop\3.jpg')
# 传入元组形式的RGBA值或者RGB值
# 在RGB模式下，第四个参数失效，默认255，在RGBA模式下，也可只传入前三个值，A值默认255
blcakIm = Image.new('RGB',(200, 100), (255, 255, 0, 120))
blcakIm.save(r'C:\Users\Administrator\Desktop\4.jpg')

im = Image.open(im_path)
cropedIm = im.crop((700, 100, 1200, 1000))
cropedIm.save(r'C:\Users\Administrator\Desktop\cropped.jpg')

im = Image.open(im_path)
cropedIm = im.crop((700, 100, 1200, 1000))
im.paste(cropedIm, (0, 0))
im.show()
im.save(r'C:\Users\Administrator\Desktop\paste.jpg')

im = Image.open(im_path)
cropedIm = im.crop((700, 100, 1200, 1000))
copyIm = im.copy()
copyIm.paste(cropedIm, (0, 0))
im.show()
copyIm.save(r'C:\Users\Administrator\Desktop\paste.jpg')

im = Image.open(im_path)
cropedIm = im.crop((700, 100, 1200, 1000))

crop_width, crop_height = cropedIm.size
width, height = im.size

copyIm = im.copy()
for left in range(0, width, crop_width):
  for top in range(0, height, crop_height):
    copyIm.paste(cropedIm, (left, top))

copyIm.save(r'C:\Users\Administrator\Desktop\dupli-rabbit.jpg')

im = Image.open(im_path)
width, height = im.size
resizedIm = im.resize((width, height+(1920-1080)))
resizedIm.save(r'C:\Users\Administrator\Desktop\resize.jpg')

im = Image.open(im_path)
im.rotate(90).save(r'C:\Users\Administrator\Desktop\rotate90.jpg')
im.rotate(270).save(r'C:\Users\Administrator\Desktop\rotate270.jpg')
im.rotate(180).save(r'C:\Users\Administrator\Desktop\rotate180.jpg')
im.rotate(20).save(r'C:\Users\Administrator\Desktop\rotate20.jpg')
im.rotate(20, expand=True).save(r'C:\Users\Administrator\Desktop\rotate20_expand.jpg')

im90 = Image.open(r'C:\Users\Administrator\Desktop\rotate90.jpg')
im270 = Image.open(r'C:\Users\Administrator\Desktop\rotate270.jpg')
# 宽高信息并没有改变
print(im90.size, im270.size)

(1920, 1080) (1920, 1080)

im = Image.open(im_path)
im.transpose(Image.FLIP_LEFT_RIGHT).save(r'C:\Users\Administrator\Desktop\transepose_lr.jpg')
im.transpose(Image.FLIP_TOP_BOTTOM).save(r'C:\Users\Administrator\Desktop\transepose_tb.jpg')

from PIL import Image, ImageFilter

im = Image.open(im_path)
# 高斯模糊
im.filter(ImageFilter.GaussianBlur).save(r'C:\Users\Administrator\Desktop\GaussianBlur.jpg')
# 普通模糊
im.filter(ImageFilter.BLUR).save(r'C:\Users\Administrator\Desktop\BLUR.jpg')
# 边缘增强
im.filter(ImageFilter.EDGE_ENHANCE).save(r'C:\Users\Administrator\Desktop\EDGE_ENHANCE.jpg')
# 找到边缘
im.filter(ImageFilter.FIND_EDGES).save(r'C:\Users\Administrator\Desktop\FIND_EDGES.jpg')
# 浮雕
im.filter(ImageFilter.EMBOSS).save(r'C:\Users\Administrator\Desktop\EMBOSS.jpg')
# 轮廓
im.filter(ImageFilter.CONTOUR).save(r'C:\Users\Administrator\Desktop\CONTOUR.jpg')
# 锐化
im.filter(ImageFilter.SHARPEN).save(r'C:\Users\Administrator\Desktop\SHARPEN.jpg')
# 平滑
im.filter(ImageFilter.SMOOTH).save(r'C:\Users\Administrator\Desktop\SMOOTH.jpg')
# 细节
im.filter(ImageFilter.DETAIL).save(r'C:\Users\Administrator\Desktop\DETAIL.jpg')