imagenie package

imagenie package#

Submodules#

imagenie.augment module#

imagenie.augment.augment(images, operations)[source]#

Applies a sequence of augmentation operations to a list of images.

Parameters:#

imageslist of np.ndarray

A list of images (as NumPy arrays) to process.

operationslist of tuple

A list of operations to apply, where each operation is a tuple (function, *args, **kwargs). Example: [(flip, 1), (scale, 0.5), (blur, 5)]

Returns:#

list of np.ndarray

The list of augmented images.

imagenie.blur module#

imagenie.blur.blur(image, stdev=1.0)[source]#

Add noise to image using a Gaussian filter.

Parameters:

  • image (np.ndarray) –

    The input image to be blurred, represented as a NumPy array

    or similar format.

  • stdev (Float) –

    Standard deviation for Gaussian/Normal distribution used to

    calculate the value of image pixels after filtering. Default is 1.0 for Standard Normal Distribution.

Returns:

The blurred image as a NumPy array.

Return type:

np.ndarray

Examples

>>> print(image)
    [0.10196079, 0.627451  , 0.74509805],
    [0.11372549, 0.6666667 , 0.78431374],
    [0.1254902 , 0.7058824 , 0.81960785]
>>> blur(image)
    [0.2991612 , 0.5070358 , 0.66973376],
    [0.30862695, 0.52062243, 0.6859944 ],
    [0.31771535, 0.53367144, 0.70153326]
>>> print(image2)
    [0.09803922, 0.5882353 , 0.70980394],
    [0.1254902 , 0.70980394, 0.8235294 ],
    [0.1254902 , 0.70980394, 0.8235294 ]
>>> blur(image2,stdev=2)
    [0.49137527, 0.5290323 , 0.56662756],
    [0.49490717, 0.53276986, 0.5705702 ],
    [0.4977027 , 0.5357282 , 0.5736908 ]

imagenie.flip module#

imagenie.flip.flip(image, direction=0)[source]#

Flips an image either horizontally or vertically.

Parameters:#

imagenp.ndarray

The input image to be flipped, represented as a NumPy array or similar format.

directionstr, optional

The direction in which to flip the image: - 0: for horizontal flip (default) - 1: vertical flip

Returns:#

np.ndarray

The flipped image as a NumPy array.

Raises:#

ValueError

If the specified direction is not 1 or 0. If image exceeds size limits.

Examples:#

Flip an image horizontally: >>> flipped_image = flip_image(image)

Flip an image vertically: >>> flipped_image = flip_image(image, 1)

imagenie.grayscale module#

imagenie.grayscale.grayscale(image)[source]#

Converts an image to grayscale.

Parameters:#

imagenp.ndarray

The input image, represented as a NumPy array. It can be a 3D array (RGB) or a 2D array (already grayscale).

Returns:#

np.ndarray

The grayscale image as a 2D NumPy array (dtype=uint8).

Raises:#

TypeError

If the input is not a NumPy array.

ValueError

If the input is not a 2D or 3D NumPy array, or if the 3D array does not have 3 channels.

imagenie.imagenie module#

imagenie.scale module#

imagenie.scale.scale(image, N=None)[source]#

Scale an image file by a factor of N.

Parameters:

  • image (np.ndarray) – The input image to be scaled. Must be a NumPy array.

  • N (float) – An positive float specifying the scaling factor.

Returns:

The scaled image that is represented as np array.

Return type:

np.ndarray

Examples

Scale the image 2 times larger. >>> img = scale(image, 2)

Module contents#