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read_pic.py
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read_pic.py
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# -*- coding: utf-8 -*-
import os
import numpy as np
import PIL.Image as Image
import PIL.ImageDraw as ImageDraw
import skimage
import cv2
import matplotlib.pyplot as plt
"""PIL.Image.open 不直接返回numpy对象，可以用numpy提供的函数进行转换"""
def PIL_read():
img_name = "G:\Chinobot\programs\python\image-similarity\images\save_bbox\DJI_0031360_3.jpg"
img = Image.open(img_name)
img_array = np.array(img)
img.show()
img.save("./PIL_save.jpg")
pixel = img.getpixel((7, 7))
# for pixel in img.getdata():
# print("pixel: ", pixel)
print("img.mode: ", img.mode)
#print("img.dtype: ", img.dtype) # no dtype
#print("type(img): ", type(img)) # no type
print("img.size: ", img.size)
#print("img.shape: ", img.shape)
print("img: ", img)
print("img_array.dtype: ", img_array.dtype)
print("type(img_array): ", type(img_array))
print("img_array.size: ", img_array.size)
print("img_array.shape: ", img_array.shape)
print("img_array: ", img_array)
print("img_array[img_array > 0]: ", img_array[img_array > 0])
img_width = img_array.shape[1]
img_height = img_array.shape[0]
print("img_width: ", img_width, "img_height: ", img_height)
img_gray = img.convert('L')
print("img_gray: ", img_gray)
print("img_gray_array: ", np.array(img_gray))
# for p in img_gray.getdata():
# print("p: ", p)
img_resize = img.resize((64, 64), Image.BILINEAR)
print("img_resize.size: ", img_resize.size)
img_crop = img.crop((10, 10, 100, 100))
img_crop.show()
draw = ImageDraw.Draw(img)
draw.line((0, 0, 60, 60), 'cyan')
draw.rectangle((10,10,70,90), outline = 'red')
img.show()
del draw
"""而skimage.io读出来的数据是numpy.ndarray格式的, 通道顺序为RGB"""
def skimage_read():
img_name = "G:\Chinobot\programs\python\image-similarity\images\save_bbox\DJI_0031360_3.jpg"
img = skimage.io.imread(img_name)
skimage.io.imshow(img)
skimage.io.imsave("./io_img.jpg", img)
pixel = img[20, 10, 2]
print("img.dtype: ", img.dtype)
print("type(img): ", type(img))
print("img.size: ", img.size)
print("img.shape: ", img.shape)
print("img: ", img)
print("pixel: ", pixel)
img_width = img.shape[1]
img_height = img.shape[0]
print("img_width: ", img_width, "img_height: ", img_height)
img_gray = skimage.color.rgb2gray(img)
img_resize = skimage.transform.resize(img, (64, 64))
img_rescale = skimage.transform.rescale(img, [0.5, 0.25])
img_crop = img[0:64, 0:128, :]
print("img_gray: ", img_gray)
print("img_resize.shape: ", img_resize.shape)
print("img_rescale.shape: ", img_rescale.shape)
skimage.io.imshow(img_crop)
rr, cc = skimage.draw.line(0, 0, 80, 80)
print("rr: ", rr)
print("cc: ", cc)
img[rr, cc] = (45, 230, 34)
skimage.io.imshow(img)
"""使用opencv读取图像，直接返回numpy.ndarray对象，通道顺序为BGR ，注意是BGR，通道值默认范围0-255"""
def opencv_read():
img_name = "G:\Chinobot\programs\python\image-similarity\images\save_bbox\DJI_0031360_3.jpg"
img = cv2.imread(img_name)
cv2.imshow("ori", img)
cv2.imwrite("./cv2.jpg", img)
pixel = img[10, 20 ,2]
print("img.dtype: ", img.dtype)
print("type(img): ", type(img))
print("img.size: ", img.size)
print("img.shape: ", img.shape)
print("img: ", img)
print("pixel: ", pixel)
img_width = img.shape[1]
img_height = img.shape[0]
print("img_width: ", img_width, "img_height: ", img_height)
img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
img_resize = cv2.resize(img, (64, 64), cv2.INTER_AREA)
img_crop = img[0:64, 0:128]
print("img_gray: ", img_gray)
print("img_resize.shape: ", img_resize.shape)
cv2.imshow("img_crop", img_crop)
cv2.line(img, (20, 20), (50, 50), (0, 0, 255), 2)
cv2.rectangle(img, (45, 45), (88, 88), (0, 255, 0), 2)
cv2.namedWindow(img_name, 0)
cv2.resizeWindow(img_name, 640, 480)
cv2.imshow(img_name, img)
k = cv2.waitKey(0)
cv2.destroyAllWindows()
"""通过上面三个函数可以读取出图片的numpy数据，利用plt模块可以实现显示以及保存"""
def plt_fun():
image = np.array([0.313660827978, 0.365348418405, 0.423733120134,
0.365348418405, 0.439599930621, 0.525083754405,
0.423733120134, 0.525083754405, 0.651536351379]).reshape(3,3)
plt.imshow(image)
#plt.imshow(image, interpolation = 'nearest', cmap = 'bone', origin = 'lower')
"""在plt.show()之前调用plt.savefig(), 因为在plt.show()后实际上已经创建了一个新的空白的图片（坐标轴）"""
plt.savefig('./plt_fig.jpg')
plt.show()
if __name__ == '__main__':
#PIL_read()
#skimage_read()
#opencv_read()
plt_fun()