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Converting Tiff file to JPG or Png python

Hi i am trying to convert the Tiff file into png or jpg file but the ouput that i am getting is noisy and not what i expected. Below is the code that i have tried :
from PIL import Image
im = Image.open('/content/img.tif')
import numpy as np
imarray = np.array(im)
print(imarray)
from matplotlib import pyplot as plt
plt.imshow(imarray, interpolation='nearest')
plt.show() # To see how the tiff file looks like
import cv2
from PIL import Image, ImageOps
img = (np.maximum(imarray, 0) / imarray.max()) * 255.0
print(img)
img = 255 - img #Inverting the pixel
print("********************************************************************")
print(img)
img = Image.fromarray(np.uint8(img))
img.save(f'/content/img.png')
please find the sample tiff file here
https://drive.google.com/file/d/1Gfyo4dCo_4pfYvUn6_a6lD0SfxZOzUwK/view?usp=sharing
Output png/jpg image i was getting is this
Can anyone please help me in converting the tiff into jpg or png
Thanks

The code below worked for me to read .tiff image and save layers as .jpeg:
from PIL import Image, ImageSequence
#open tiff image
im = Image.open("YOUR IMAGE PATH")
#navigate to the folder were the layers are going to be saved
%cd YOUR DIRECTORY
#loop over layers and export jpeg instances
for i, page in enumerate(ImageSequence.Iterator(im)):
page.mode = 'I'
page.point(lambda i:i*(1./256)).convert('L').save(str(i)+'.jpeg')

How to put text on multiple images using python?

from PIL import Image, ImageDraw, ImageFont
import glob
import os
images = glob.glob("directory_path/*.jpg")
for img in images:
images = Image.open(img)
draw = ImageDraw.Draw(images)
font = ImageFont.load_default() #Downloaded Font from Google font
text = "Text on all images from directory"
draw.text((0,150),text,(250,250,250),font=font)
images.save(img)
I have to put text on all images , I have tried above code but its not working

This code worked for me just fine, but the text was hard to read because it was small and white. I did change directory_path to images and put my images in there. The images looked like this, the text is small and on the left side:

Here is the solution
from PIL import Image,ImageDraw,ImageFont
import glob
import os
images=glob.glob("path/*.jpg")
for img in images:
images=Image.open(img)
draw=ImageDraw.Draw(images)
font=ImageFont.load_default()
text="Whatever text"
draw.text((0,240),text,(250,250,250),font=font)
images.save(img)

one possible problem with the code may be that you are using the images variable for saving the list of images and also to iterate through the images.
Try this code, this will work for sure.
from PIL import Image, ImageDraw, ImageFont
import glob
import os
images = glob.glob("new_dir/*.jpg")
print(images)
for img in images:
image = Image.open(img)
draw = ImageDraw.Draw(image)
font = ImageFont.load_default() #Downloaded Font from Google font
text = "Text on all images from directory"
draw.text((0,150),text,fill = 'red' ,font=font)
image.save(img)

Why cannot python PIL show two images in one program

Here is my code:
img = Image.open('data/img.jpg')
lb = Image.open('data/label.png')
img.show('img')
img.close()
lb.show('lb')
lb.close()
After running this program, the first image is successfully showed, but the second image will not be shown unless I comment the code associated with the first image. What is the cause of this problem.

You can multithread to display both at once:
#!/usr/local/bin/python3
from PIL import Image
from threading import Thread
def display(im):
im.show()
im1 = Image.open('1.jpg')
im2 = Image.open('2.jpg')
t1=Thread(target=display,args=(im1,))
t1.start()
t2=Thread(target=display,args=(im2,))
t2.start()
Or you can temporarily concatenate the images into one:
#!/usr/local/bin/python3
from PIL import Image
import numpy as np
im1 = Image.open('1.jpg')
im2 = Image.open('2.jpg')
Image.fromarray(np.hstack((np.array(im1),np.array(im2)))).show()

Jython: get image dimensions from URL

I'm new to Jython (but not to Python) and I'm trying to get the dimensions of an image from a URL.
For example the input would be https://www.w3schools.com/w3images/fjords.jpg
and it would return (600, 400).
I know in Python it can be done with PIL:
from PIL import Image
from io import BytesIO
import requests
data = requests.get(url).content
im = Image.open(BytesIO(data))
print(im.size)
But how to do this in Jython since PIL is not supported by Jython?

You can use the ImageIO class.
from java.net import URL
from javax.imageio import ImageIO
img = ImageIO.read(URL("https://www.w3schools.com/w3images/fjords.jpg"))
print img.getWidth()
print img.getHeight()

image to text conversion using Tesseract

I am trying to load all images in a folder and extract text from images. I keep getting error message for the second for loop. For example,
AttributeError: 'numpy.ndarray' object has no attribute 'read'
It seems I cannot access list Img. Any idea?
# import OpenCV, Numpy, Python image library, Tesseract OCR
import os
import cv2
import numpy
from PIL import Image
import pytesseract
import glob
#set tesseract path
pytesseract.pytesseract.tesseract_cmd = 'C:/Program Files (x86)/Tesseract-OCR/tesseract.exe'
#read all image with .jpg format in a specifying folder
img = []
for i in glob.glob("C:\\Users\\daizhang\\Desktop\\Deloitte Development\\Python\\Reports\\Image\\*.jpg"):
n= cv2.imread(i,0) #convert image to grayscale
print(i)
img.append(n)
for j in img:
im = Image.open(j)
text = pytesseract.image_to_string (j, lang='eng')
with open("C:\\Users\\daizhang\\Desktop\\Deloitte Development\\Python\Reports\\Image\\test.txt", "w") as f:
f.write(text.encode('utf8'))

I have Mac OSX but you can adjust this code to file Window's path directory.
import os
from os import path
from glob import glob
from pytesseract import image_to_string
from PIL import Image, ImageEnhance, ImageFilter
def enhance_img(filename):
# Enhance image and save as under new name
im = im.filter(ImageFilter.MedianFilter())
enhancer = ImageEnhance.Contrast(im)
im = enhancer.enhance(2)
im = im.convert('1')
im.save('newfilename')
def convert_img(filename):
image = Image.open(filename)
# Convert image to text
file = open ('parsing.txt', 'a')
file.write(image_to_string(image))
file.close
def find_ext(dir, ext):
return glob(path.join(dir, "*.{}".format(ext)))
# use the following for change directory
# os.chdir(path)
filename = find_ext("","png")
for file in filename:
# convert image to text
convert_img(file)
If you want to enhance the image then include the following block and adjust the code above to loop through the new filenames.
def enhance_img(filename):
# Enhance image and save as under new name
im = im.filter(ImageFilter.MedianFilter())
enhancer = ImageEnhance.Contrast(im)
im = enhancer.enhance(2)
im = im.convert('1')
im.save('newfilename')
For file in filename:
# to enhance image if needed
newfilename = filename[-3] + '_1.png'
enhance_img(file)