Metadata-Version: 2.1
Name: images-into-array
Version: 2.0.3
Summary: Convert Multiple Images into a Array and Different Color Spaces into a Array
Home-page: https://github.com/sujitmandal/images-into-array
Author: Sujit Mandal
Author-email: mandals974@gmail.com
License: MIT
Description: [![Downloads](https://pepy.tech/badge/images-into-array)](https://pepy.tech/project/images-into-array)  
        
        ## Package Installation : 
        ```
        pip install images-into-array
        ```
        [Package LInk](https://pypi.org/project/images-into-array/)
        
        ## Convert-Images-Into-Array:
        Convert Multiple Images into a Array and Different Color Spaces into a Array :
        ------------------------------------------------------------------------------
        This package fuction requres three argument one is path of the images folder and other is image_height and image_width.
        
        OpenCV Document :
        -----------------
        [OpenCV Document](https://docs.opencv.org/3.4/de/d25/imgproc_color_conversions.html)
        
        ## How to import the module:
        ```
        images_path = ('')
        
        image_height = Enter The Image Size [32, 64, 128]
        
        image_width = Enter The Image Size [32, 64, 128]
        ```
        ## NORMAL :
        ```
        from images_into_array.images_into_array import images
        
        array = images(images_path, image_height, image_width)
        
        print(array.shape)
        ```
        ## RGB ↔ GRAY :
        ```
        from images_into_array.images_into_array import rgb_gray
        
        gray = rgb_gray(images_path, image_height, image_width)
        
        print(array.shape)
        ```
        ## RGB ↔ CIE L*a*b* :
        ```
        from images_into_array.images_into_array import rgb_lab
        
        lav = rgb_lab(images_path, image_height, image_width)
        
        print(array.shape)
        ```
        ## RGB ↔ HLS :
        ```
        from images_into_array.images_into_array import rgb_hls
        
        hls = rgb_hls(images_path, image_height, image_width)
        
        print(array.shape)
        ```
        ## RGB ↔ CIE L*u*v* :
        ```
        from images_into_array.images_into_array import rgb_luv
        
        luv = rgb_luv(images_path, image_height, image_width)
        
        print(array.shape)
        ```
        ## RGB ↔ HSV :
        ```
        from images_into_array.images_into_array import rgb_hsv
        
        hsv = rgb_hsv(images_path, image_height, image_width)
        
        print(array.shape)
        ```
        ## RGB ↔ YCrCb JPEG (or YCC) :
        ```
        from images_into_array.images_into_array import rgb_ycrcb
        
        ycrcb = rgb_ycrcb(images_path, image_height, image_width)
        
        print(array.shape)
        
        
        ## Required package’s:
        ```
        • conda install -c conda-forge opencv=4.2.0
        
        • pip install shuffle
        
        • pip install numpy
        
        • pip install tqdm
        ```
        ## License:
        MIT Licensed
        
        ## Author:
        Sujit Mandal
        
        [GitHub](https://github.com/sujitmandal)
        
        [LinkedIn](https://www.linkedin.com/in/sujit-mandal-91215013a/)
        
        [Facebook](https://www.facebook.com/sujit.mandal.33671748)
        
        [Twitter](https://twitter.com/mandalsujit37)
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
