{"@attributes":{"version":"2.0"},"channel":{"title":"Documentation \u2013 Preparing content for recognition","link":"https:\/\/docs.aspose.com\/ocr\/python-net\/ocrinput\/","description":"Recent content in Preparing content for recognition on Documentation","generator":"Hugo -- gohugo.io","lastBuildDate":"Fri, 25 Aug 2023 00:00:00 +0000","item":{"title":"Python: Providing an image as pixel array","link":"https:\/\/docs.aspose.com\/ocr\/python-net\/ocrinput\/image-by-pixel\/","pubDate":"Sun, 27 Aug 2023 00:00:00 +0000","guid":"https:\/\/docs.aspose.com\/ocr\/python-net\/ocrinput\/image-by-pixel\/","description":"\n \n \n

Aspose.OCR for Python via .NET allows you to provide<\/a> an image for recognition as an array of pixels. This can be useful when working with unsupported<\/a> file formats or with raw bitmap data.<\/p>\n

Pixels are listed from left to right (by line), and each line is added to the array from top to bottom.<\/p>\n

\"Color<\/p>\n

Adding color image<\/h2>\n

The color image is added as a flat byte array representing the amount of each color per pixel. The amount ranges from 0 to 255, where 0 means no that color and 255 is the maximum amount of that color. For example, 2x2 pixels color bitmap is represented as the following byte array in RGB color model:<\/p>\n

\"RGB<\/p>\n

Because the pixel array does not contain an image header, you must directly specify the image’s width and height, as well as its color model.<\/p>\n\n\n\n\n\n\n\n
Color model<\/th>\nBytes per pixel<\/th>\nPixel color order<\/th>\n<\/tr>\n<\/thead>\n
PixelType.RGB<\/code><\/td>\n3<\/td>\n
  1. Red<\/li>
  2. Green<\/li>
  3. Blue<\/li><\/ol><\/td>\n<\/tr>\n
PixelType.BGR<\/code><\/td>\n3<\/td>\n
  1. Blue<\/li>
  2. Green<\/li>
  3. Red<\/li><\/ol><\/td>\n<\/tr>\n
PixelType.RGBA<\/code><\/td>\n4<\/td>\n
  1. Red<\/li>
  2. Green<\/li>
  3. Blue<\/li>
  4. Opacity<\/li><\/ol><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    Example<\/h3>\n
    input<\/span> =<\/span> OcrInput<\/span>(<\/span>InputType<\/span>.<\/span>SINGLE_IMAGE<\/span>)<\/span>\n<\/span><\/span>pixels<\/span> =<\/span> [<\/span>pixel_1_red<\/span>,<\/span> pixel_1_green<\/span>,<\/span> pixel_1_blue<\/span>,<\/span> ...<\/span>,<\/span> pixel_n_red<\/span>,<\/span> pixel_n_green<\/span>,<\/span> pixel_n_blue<\/span>]<\/span>\n<\/span><\/span>input<\/span>.<\/span>add<\/span>(<\/span>bytearray<\/span>(<\/span>pixels<\/span>),<\/span> image_width<\/span>,<\/span> image_height<\/span>,<\/span> PixelType<\/span>.<\/span>RGB<\/span>)<\/span>\n<\/span><\/span><\/code><\/pre><\/div>
    Adding grayscale image<\/h2>\n
    The image is provided as a flat byte array, where each byte represents the degree of pixel brightness (one byte per pixel). The number ranges from 0 to 255, where 0 means black and 255 means white.<\/p>\n
    \"Grayscale<\/p>\n
    Because the pixel array does not contain an image header, you must directly specify the image’s width and height, as well as the grayscale (PixelType.BYTE<\/code>) color model.<\/p>\n
    Example<\/h3>\n
    input<\/span> =<\/span> OcrInput<\/span>(<\/span>InputType<\/span>.<\/span>SINGLE_IMAGE<\/span>)<\/span>\n<\/span><\/span>pixels<\/span> =<\/span> [<\/span>pixel_1<\/span>,<\/span> pixel_2<\/span>,<\/span> ...<\/span>,<\/span> pixel_n<\/span>]<\/span>\n<\/span><\/span>input<\/span>.<\/span>add<\/span>(<\/span>bytearray<\/span>(<\/span>pixels<\/span>),<\/span> image_width<\/span>,<\/span> image_height<\/span>,<\/span> PixelType<\/span>.<\/span>BYTE<\/span>)<\/span>\n<\/span><\/span><\/code><\/pre><\/div>\n      "}}}