# Parallelized image resizing function using OpenCV and multiprocessing
## pip install multicv2resize
### Tested against Python 3.11 / Windows 10
```python
Parallelized image resizing function using OpenCV and multiprocessing.
This function utilizes the `multiprocnomain` library for parallelizing the resizing process of a batch of images.
The resizing parameters for each image in the batch are specified in a list of dictionaries,
allowing for flexibility in resizing options.
Parameters:
- pics (list): A list of dictionaries, each containing the following keys:
- 'img' (Any): Accepts almost any image format
- 'width' (int, optional): The target width of the resized image. If None, the original width is maintained. - IMPORTANT: (pass either width, height, width and height, or percentage)
- 'height' (int, optional): The target height of the resized image. If None, the original height is maintained. - IMPORTANT: (pass either width, height, width and height, or percentage)
- 'percent' (int, optional): The percentage by which to scale the image. - IMPORTANT: (pass either width, height, width and height, or percentage)
- 'interpolation' (int, optional): The interpolation method to use during resizing.
Defaults to cv2.INTER_AREA.
- processes (int, optional): The number of parallel processes to use for resizing. Defaults to 5.
- chunks (int, optional): The number of chunks to divide the resizing tasks into for better load balancing. Defaults to 1.
- print_stderr (bool, optional): If True, prints stderr messages during the resizing process. Defaults to True.
- print_stdout (bool, optional): If True, prints stdout messages during the resizing process. Defaults to False.
Returns:
- dict: A dictionary containing resized images corresponding to the input batch. The keys are generated based on the input image paths.
Example:
pics0 = [{'img':r"C:\Users\hansc\Pictures\cgea.png",'width':None,'height':None,'percent':percentage,'interpolation':cv2.INTER_AREA} for percentage in range(50,150,1)]
pics1 = [{'img':r"C:\Users\hansc\Pictures\cgea.png",'width':100+addwidth,'height':100,'percent':None,'interpolation':cv2.INTER_AREA} for addwidth in range(50,150,1)]
pics=pics0+pics1
pic=resize_image(pics,processes=5,chunks=1,print_stderr=True, print_stdout=False)
for k, v in pic.items():
cv2.imwrite(rf'C:\resi\{k}.png', v)
```
Raw data
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"description": "\r\n# Parallelized image resizing function using OpenCV and multiprocessing\r\n\r\n## pip install multicv2resize\r\n\r\n### Tested against Python 3.11 / Windows 10\r\n\r\n```python\r\n\r\nParallelized image resizing function using OpenCV and multiprocessing.\r\n\r\nThis function utilizes the `multiprocnomain` library for parallelizing the resizing process of a batch of images.\r\nThe resizing parameters for each image in the batch are specified in a list of dictionaries,\r\nallowing for flexibility in resizing options.\r\n\r\nParameters:\r\n\t- pics (list): A list of dictionaries, each containing the following keys:\r\n\t\t- 'img' (Any): Accepts almost any image format\r\n\t\t- 'width' (int, optional): The target width of the resized image. If None, the original width is maintained. - IMPORTANT: (pass either width, height, width and height, or percentage)\r\n\t\t- 'height' (int, optional): The target height of the resized image. If None, the original height is maintained. - IMPORTANT: (pass either width, height, width and height, or percentage)\r\n\t\t- 'percent' (int, optional): The percentage by which to scale the image. - IMPORTANT: (pass either width, height, width and height, or percentage)\r\n\t\t- 'interpolation' (int, optional): The interpolation method to use during resizing.\r\n\t\t Defaults to cv2.INTER_AREA.\r\n\r\n\t- processes (int, optional): The number of parallel processes to use for resizing. Defaults to 5.\r\n\r\n\t- chunks (int, optional): The number of chunks to divide the resizing tasks into for better load balancing. Defaults to 1.\r\n\r\n\t- print_stderr (bool, optional): If True, prints stderr messages during the resizing process. Defaults to True.\r\n\r\n\t- print_stdout (bool, optional): If True, prints stdout messages during the resizing process. Defaults to False.\r\n\r\nReturns:\r\n\t- dict: A dictionary containing resized images corresponding to the input batch. The keys are generated based on the input image paths.\r\n\r\nExample:\r\n\r\n\tpics0 = [{'img':r\"C:\\Users\\hansc\\Pictures\\cgea.png\",'width':None,'height':None,'percent':percentage,'interpolation':cv2.INTER_AREA} for percentage in range(50,150,1)]\r\n\tpics1 = [{'img':r\"C:\\Users\\hansc\\Pictures\\cgea.png\",'width':100+addwidth,'height':100,'percent':None,'interpolation':cv2.INTER_AREA} for addwidth in range(50,150,1)]\r\n\tpics=pics0+pics1\r\n\r\n\tpic=resize_image(pics,processes=5,chunks=1,print_stderr=True, print_stdout=False)\r\n\tfor k, v in pic.items():\r\n\t\tcv2.imwrite(rf'C:\\resi\\{k}.png', v)\r\n```\r\n",
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