neuralib.imglib.io

neuralib.imglib.io.read_sequences(avi_file, grey_scale=True)[source]

Read an sequences file (i.e., AVI/MP4) into an array, converting to grayscale if specified.

Parameters:

avi_file (str | Path | bytes | BinaryIO | BufferedIOBase | BufferedReader) – Path to the AVI file.
grey_scale (bool) – Whether to convert frames to grayscale.

Returns:

Sequences array. Array[uint8, [F, W, H]|[F, W, H, 3]]

Return type:

ndarray

neuralib.imglib.io.read_pdf(file, single_image=True, poppler_path=None, **kwargs)[source]

Read pdf as an image array

Parameters:

file (PathLike)
single_image (bool)
poppler_path (str | None) –
if poppler not installed in a system level. Specify the path. for example: Release-23.08.0-0\poppler-23.08.0\Libraryin

See also

https://stackoverflow.com/questions/53481088/poppler-in-path-for-pdf2image
kwargs – pass through convert_from_path

Returns:

Image array

Return type:

np.ndarray

neuralib.imglib.io.write_avi(file_path, frames, fps=30.0)[source]

Write a sequence of frames to an AVI file.

Parameters:

file_path (str) – The path where the AVI file will be saved.
frames (ndarray) – Array[uint, [F, W, H]|[F, W, H, 3]] containing the frames.
fps (int) – The frames per second (frame rate) of the output video.

Return type:

None

neuralib.imglib.io.tif_to_gif(image_file, output_path, fps=30, **kwargs)[source]

Convert tif sequences to GIF

Parameters:

image_file (str | Path | bytes | BinaryIO | BufferedIOBase | BufferedReader)
output_path (str | Path | bytes | BinaryIO | BufferedIOBase | BufferedReader)
fps (int)

Return type:

None

neuralib.imglib.io.gif_show(file)[source]

Display GIF file in a cv2 window

Parameters:: file (str | Path | bytes | BinaryIO | BufferedIOBase | BufferedReader) – Path to the GIF file to be displayed.
Raises:: ValueError – If the provided file is not a GIF.
Return type:: None