I've tried to import a png file in Python 3.6 with Jupyter Notebook with no success.
I've seen some examples that don't work, at least not anymore, i.e.
import os,sys
import Image
jpgfile = Image.open("picture.jpg")
There is no module called Image that I can install with either:
conda install Image
or
pip install Image
Any simple solution would be greatly appreciated!
You can display an image from file in a Jupyter Notebook as follows:
from IPython.display import Image
img = 'fig31_Drosophila.jpg'
Image(url=img)
where img = 'fig31_Drosophila.jpg' is the path and filename of the image you want. (here, the image is in the same folder as the main script)
alternatively:
from IPython.display import Image
img = 'fig31_Drosophila.jpg'
Image(filename=img)
You can specify optional args (for width and height for instance:
from IPython.display import Image
img = 'fig31_Drosophila.jpg'
Image(url=img, width=100, height=100)
Related
i have a app which convert the image to pencil sketch here i am trying to download the output image in browser previously i have done but its downloading inside the browser
Is there any other way to download the image in browser
import streamlit as st
import numpy as np
from PIL import Image,ImageDraw
import cv2
if st.button("Download Sketch Images"):
im_pil = Image.fromarray(final_sketch)
im_pil.save('Pencil Sketch.jpeg')
st.write('Download completed')
There seems to be a widget included in streamlit to do what you ask for.
st.download_button(label="Download Sketch Images", data=im_pil.tobytes(), file_name='Pencil Sketch.jpeg')
https://docs.streamlit.io/library/api-reference/widgets/st.download_button
# Create an ImageJ gateway with the newest available version of ImageJ.
import imagej
import pathlib
import numpy
ij = imagej.init()
# Load an image.
img_path = pathlib.Path('C:/Users/Bernardo/TCC/thyroid/1_1.jpg')
image = ij.io().open(str(img_path))
ij.py.show(image, cmap='gray')
I wanna plot a histogram using pyimagej, after reading this image.
well, you can just use matplotlib:
# Create an ImageJ gateway with the newest available version of ImageJ.
import imagej
import pathlib
import numpy
ij = imagej.init()
# Load an image.
img_path = pathlib.Path('C:/Users/Bernardo/TCC/thyroid/1_1.jpg')
image = ij.io().open(str(img_path))
ij.py.show(image, cmap='gray')
import matplotlib.pyplot as plt
plt.hist(image.flatten())
Recently, I took a project. Converting a scanned PDF to searchable PDF/word using Python tesseract.
After few attempts, I could able to convert scanned PDF to PNG image files and afterwards, I'm struck could anyone please help me to convert the PNG files to Word/PDF searchable.my piece of code attached
Please find the attached image for reference.
Import os
Import sys
from PIL import image
Import pytesseract
from pytesseract import image_to_string
Libpath =r'_______' #site-package
Pop_path=r'_______' #poppler dlls
Sys.path.insert(0,LibPath)
from pdf2image import convert_from_path
Pdfpath=r'_______' # PDF file directory
imgpath=r'_______' #image output path
images= convert_from_path(pdf_path = pdfpath,
dpi=500, poppler_path= pop_path)
for idx, of in enumerate (images):
pg.save(imgPath+'PDF_Page_'+'.png',"PNG")
print('{} page converted'.format(str(idx)))
try:
from PIL import image
except ImportError:
import image
import pytesseract
def ocr-core(images):
Text =
pytesseract.image_to_string(image.open(images))
return text
print(ocr_core("image path/imagename))
that's it, I've written.....then I got multiple ".PNG" images...now I can only able to convert one PNG images to text.
How to convert all the images and save it in CSV/word?
from PIL import image
from pdf2image import convert_from_path
import pytesseract
import OS
import sys
Pdf_file_path = '_______' #your file path
Images = convert_from_path(Pdf_file_path, dpi=500)
Counter=1
for page in Images:
idx= "image_"+str(Counter)+".jpg" ##or ".png"
page.save(idx, 'JPEG')
Counter = Counter+1
file=Counter-1
Output= '_____' #where you want to save and file name
f=open(output, "w")
for i in range(1,file+1):
idx= "image_"+str(Counter)+".jpg" ##or ".png"
text=str(pytesseract.image_to_string(Image.open(idx)))
f.write(text)
f.close()
I want to retrieve an image from the url using the dlib library.
I have tried the following code:
win = dlib.image_window()
img = dlib.load_rgb_image(urllib.request.urlopen(url).read())
win.set_image(img)
But the window opens empty, when I expected the image from the url to open.
After a lot of trial and error, this seems to display the image for me:
import urllib.request
import dlib
import numpy
import io
from PIL import Image
win = dlib.image_window()
img = numpy.array(Image.open(io.BytesIO(urllib.request.urlopen(url).read())))
win.set_image(img)
I'm new to python and open cv. I'm trying to find out how to load an image in opencv with python. Can any one provide an example (with code) explaining how to load the image and display it?
import sys
import cv
from opencv.cv import *
from opencv.highgui import *
ll="/home/pavan/Desktop/iff pics/out0291.tif"
img= cvLoadImage( ll );
cvNamedWindow( “Example1”, CV_WINDOW_AUTOSIZE );
cvShowImage( “Example1”, img );
cvWaitKey(10);
cvDestroyWindow( “Example");
There have been quite a few changes in the openCV2 API:
import cv
ll = "/home/pavan/Desktop/iff pics/out0291.tif"
img = cv.LoadImage(ll)
cv.NamedWindow("Example", cv.CV_WINDOW_AUTOSIZE )
cv.ShowImage("Example", img )
cv.WaitKey(10000)
cv.DestroyWindow("Example")
It is a simpler, quite cleaner syntax!
Also, you don't need trailing ; à-la-matlab. Last, be careful about the quotes you use.
For the newer openCV3 API, you should see the other answer to this question.
import cv2
image_path = "/home/jay/Desktop/earth.jpg"
img = cv2.imread(image_path) # For Reading The Image
cv2.imshow('image', img) # For Showing The Image in a window with first parameter as it's title
cv2.waitKey(0) #waits for a key to be pressed on a window
cv2.destroyAllWindows() # destroys the window when the key is pressed
There are 2 possible approaches to this:
Using argparse (recommended):
import cv2
import argparse
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", required = True,help = "Path to the image")
args = vars(ap.parse_args())
image = cv2.imread(args["image"])
This will take the image as an argument, will then convert the argument, add it to ap and the load it using the imread function()
To run it.
Go to your required folder
source activate your environment
python filename.py -i img.jpg
Hardcoding the image location:
import cv2
img = cv2.imread("\File\Loca\img.jpg")
cv2.imshow("ImageName",img)
cv2.waitKey(0)
cv2.destroyAllWindows()
Run this similarly, omitting the arguments.