Module AmpliVision.src.objs.image.image

Classes

class GridImageNormalizer

Image Normalizer

Class to normalize the image of the grid by scanning the grid and making it square ratio.

Methods:

• scan(id: int, image: ndarray, resize_factor: float = 1) -> (Image, int)
  • This method scans the image and returns the scanned image.
• resize_2_std(img: ndarray, factor: float, w:int=None, h:int = None) -> ndarray
  • This method resizes the image to a given percentage of the current size.

Expand source code

class GridImageNormalizer:
    """
    ### Image Normalizer
    Class to normalize the image of the grid by scanning the grid and making it square ratio.

    #### Methods:
    - `scan(id: int, image: ndarray, resize_factor: float = 1) -> (Image, int)`
        - This method scans the image and returns the scanned image.
    - `resize_2_std(img: ndarray, factor: float, w:int=None, h:int = None) -> ndarray`
        - This method resizes the image to a given percentage of the current size.
    """
    @classmethod
    def scan(cls, image_name: str, image: ndarray, do_white_balance:bool):
        """
        ### Scan image
        Scan the image and return the scanned image.

        #### Args:
        * id : id of the image
        * image : image to be scanned

        #### Returns:
        * scanned image
        """
        print(f"{image_name} loaded")

        # Scan the image isolating the grid
        Image_i = ImageScanner.scan(
            image,
            do_white_balance=do_white_balance 
        )
        print(f"{image_name} scanned!")

        # Resize image so that its height and width are the same
        w, h = Image_i.shape[:2]
        Image_i = cls.resize(Image_i, 1, w, w)

        return Image_i

    @staticmethod
    def resize(img: ndarray, factor: float, w: int = None, h: int = None):
        """
        ### Resize
        Resize image to a given percentage of current size.

        #### Args:
        * img : image to be resized
        * factor : percentage of current size to resize to
        * w : width of image
        * h : height of image

        #### Returns:
        * resized image
        """

        # If width and height are not given, get them from the image
        if w == None and h == None:
            w, h = img.shape[:2]

        resized_image = cv.resize(
            img, (int(w*factor), int(h*factor)), interpolation=cv.INTER_CUBIC)

        return resized_image

Static methods

def resize(img: numpy.ndarray, factor: float, w: int = None, h: int = None)

Resize

Resize image to a given percentage of current size.

Args:

• img : image to be resized
• factor : percentage of current size to resize to
• w : width of image
• h : height of image

Returns:

• resized image

def scan(image_name: str, image: numpy.ndarray, do_white_balance: bool)

Scan image

Scan the image and return the scanned image.

Args:

• id : id of the image
• image : image to be scanned

Returns:

• scanned image