Develop Reference

How do I add and print a image in the console in python with visual studio?

I dont know what to import and how to do this. How do I print and add a image in python.
I have tried nothing im just looking for suggestions.

In the console it's impossible, but you can use OpenCV, PIL, or matplotlib to display images.
With OpenCV you can display the pixel value in the console:

If you are interested in image manipulation check out Pillow. It's an image manipulation/processing library.
You can install it with:
python -m pip install Pillow
To load an image and show it use this:
from PIL import Image
im = Image.open("image.png")
im.show()
For more examples and information check out the official documentation.

opening an image in python using pyautogui module

I am trying to open an image using pyautogui so i can compare the images pixels. I have looked in the auto correction in visual studio code and I looked in a documentary about it. Can someone please tell me how to do it?

well you can do it by PIL (pillow) like -
from PIL import Image
im = Image.open(r"path\to\image.png")
im.show()

'libpng error: Read Error' by using open cv imread

I am currently using Anaconda 4.3.27, Python 3.6.2 and OpenCV 3.3.0
When I try
img1 = cv2.imread('D:\Images\3D-Matplotlib.png')
img2 = cv2.imread('D:\Images\mainsvmimage.png')
I get libpng error: Read Errorand a pop-up shows up, indicating that Python stopped working. I already tried replacing the '\' by '\\' and '/', but also in those cases the same error shows up. When I try to read a jpg instead of a png, I do not get the error. Does anybody have an idea what might be the problem here?
Thanks in advance!
Edit:
Also cv2.imwrite gives an error:
libpng error: Write Error

Had the same issue with Anaconda using Matplotlib with Latex. The solution was to update libpng.
https://github.com/ContinuumIO/anaconda-issues/issues/6271

try to add the flags (grayscale,...) that are required by cv2.imread ( https://docs.opencv.org/2.4/modules/highgui/doc/reading_and_writing_images_and_video.html )
and use r for the path
img2 = cv2.imread(r"D:\Images\mainsvmimage.png",0)
( the 0 loads image as grayscale )
OpenCV Python not opening images with imread()
if this is still not working maybe test with another image as it is possible that there is a problem with the image header cf. libpng error: Read Error or with your libpng version, cf. Libpng conflict on OpenCV?

I had broken images in my directory, removing those images solved the error.

To detect digits from an image using cv2 and python

I am trying to detect digits located inside a grid and to tell their positions in an image and don't know where to start. So any help is welcome. So far I have used GT Text software but it didn't solve the purpose. Any helper function, libraries, tutorials, links or anything is welcome.

You should check out the pytesseract module:
https://pypi.python.org/pypi/pytesseract/0.1
It has a one-liner for what you're trying to do:
try:
import Image
except ImportError:
from PIL import Image
import pytesseract as tes
results = tes.image_to_string(Image.open('test.png'),boxes=True)
This will give you results, which has each digit and the image coordinates of its bounding box.
You will need to install PIL (python image library, pip install PIL) and the tesseract c library (brew install tesseract if you have homebrew..) so it's not super trivial but once you have it working, this is the most straight forward OCR in python, and requires no training whatsoever.

How to make a screen recorder in python?

Is it possible to create a screen recorder in python, I found a way to capture still images, can I compile these images into a video format? Is there anything framework I can use? thank you for any suggestions, here is the script for single images:
from PIL import ImageGrab
import time
time.sleep(5)
ImageGrab.grab().save("screen_capture.jpg", "JPEG")

Yes, you can compile them to video format. FFMPEG is a phenomenal command-line tool that can be run from inside python provided it is installed and on your path.
Here is a great tutorial on how to take still images and turn them into a video:
http://hamelot.io/visualization/using-ffmpeg-to-convert-a-set-of-images-into-a-video/