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  1. 10 maj 2011 · I'm trying to split a photo into multiple pieces using PIL. im = Image.open(input) imgwidth = im.size[0] imgheight = im.size[1] for i in range(0,imgheight-height/2,height-2): print i. for j in range(0,imgwidth-width/2,width-2): print j. box = (j, i, j+width, i+height) a = im.crop(box) a.save(os.path.join(Path,"PNG","%s" % page,"IMG-%s.png" % k))

  2. The SQL Dump Splitter is a Python tool designed to split large SQL dump files into smaller files based on specific conditions such as 'DROP TABLE' and 'CREATE TABLE IF NOT EXISTS'. This tool is useful for managing large SQL databases where dumps can be excessively large for efficient handling.

  3. Image splitter that splits a 2:1 image into two 1:1 images. Split images can be used as matching avatars on discord or any other social media platform. This is a python program which splits an image input into multiple images for printing or decorating purposes.

  4. ImageSplit is a utility for splitting very large image volumes into slices or multiple overlapping sub-volumes, and for recombining sub-volumes into a one or more volumes. ImageSplit can also convert the underlying data types.

  5. pypi.org › project › split-imagesplit-image - PyPI

    29 lis 2022 · split-image. Quickly split an image into rows and columns (tiles). split-image is a Python package that you can use from the command line to split an image into tiles. Installation. pip install split-image. Usage. From the command line: split-image [-h] [-s] image_path rows cols As a regular module import:

  6. 27 sty 2023 · In this article, we are going to see how to divide images into equal parts using OpenCV in Python. We are familiar with python lists and list slicing in one dimension. But here in the case of images, we will be using 2D list comprehension since images are a 2D matrix of pixel intensity.

  7. 28 lut 2024 · Dividing images into blocks is a handy technique for localized image analysis. With just a few lines of Python code leveraging OpenCV and NumPy, you can break an image down into patches and extract features like histograms from each block.