I am trying to verify a bytearray with Image.open and Image.verify() without writing it to disk first and then open it with im = Image.open(). I looked at the .readfrombuffer() and .readfromstring() method, but there I need the size of the image (which I could only get when converting the bytestream to an image).
I’m trying to make all white pixels transparent using the Python Image Library. (I’m a C hacker trying to learn python so be gentle)
I’ve got the conversion working (at least the pixel values look correct) but I can’t figure out how to convert the list into a buffer to re-create the image. Here’s the code
Trying to solve a problem of preventing duplicate images to be uploaded.
In numpy/scipy I have an image stored in an array. I can display it, I want to save it using savefig without any borders, axes, labels, titles,… Just pure image, nothing else.
I have an RGB image. I want to convert it to numpy array. I did the following
I am learning pygame and want a graphic for a button with the three states: normal, hover, and pressed. I have an image like this one …
I’m working on a project just for fun, and my goal is to play online poker and have the program identify the cards that are on the table. I am using OpenCV with python to isolate the area where the cards are going to be. I have been able to take an image of that area, grayscale and threshold it, and draw a contour around the edge of the card. I am now stuck on how to move forward.
I use Python-docx to generate Microsoft Word document.The user want that when he write for eg: “Good Morning every body,This is my %(profile_img)s do you like it?”
in a HTML field, i create a word document and i recuper the picture of the user from the database and i replace the key word %(profile_img)s by the picture of the user NOT at the END OF THE DOCUMENT. With Python-docx we use this instruction to add a picture:
When you add a PhotoImage or other Image object to a Tkinter widget,
you must keep your own reference to the image object. If you don’t,
the image won’t always show up.
I’m trying to compare images to each other to find out whether they are different. First I tried to make a Pearson correleation of the RGB values, which works also quite good unless the pictures are a litte bit shifted. So if a have a 100% identical images but one is a little bit moved, I get a bad correlation value.