pypocquant.lib.utils

Module Contents

Functions

create_quality_control_images(results_folder_path: str, basename: str, map_of_images: dict, extension: str = '.png', quality: int = 100)	Save the list of requested quality control images.
get_project_root() → Path	Returns project root folder.
get_data_folder() → Path	Returns the value of the environment variable DATA_FOLDER or,
image_format_converter(directory, filename, output_dir=None, image_format='tif')	Converts a image in raw format (.’nef’) to the specified open format. Default is ‘.tif’.
get_iso_date_from_image(image_path)	Returns the date in iso-date format for the image at the given path.
get_exif_details(image_path)	Returns the Exif metadata for the image at the given path. In particular EXIF ExposureTime, EXIF FNumber,
get_orientation_from_image(image_path)	Returns the image orientation for the image at the given path from the EXIF metadata.
is_on_path(prog)	Returns true if a certain program is on the environment variable PATH.
set_tesseract_exe()	Sets the path to the executable of tesseract.
remove_filename_duplicates(data_frame)	Removes duplicates entry from a pandas data frame based on the column NAME.

pypocquant.lib.utils.create_quality_control_images(results_folder_path: str, basename: str, map_of_images: dict, extension: str = '.png', quality: int = 100)

Save the list of requested quality control images.

Parameters:

• results_folder_path (str) – Full path to the folder where to save the quality control images.

• basename (str) – Common base name for all quality control images.

• map_of_images (dict) – Dictionary of keys to be appended to the base name with the corresponding image as value.

• extension (str) – File extension (format). Optional, default is .png.

• quality (int) – Image compression quality. Optional, default is 100. This is only considered if format is “.jpg”.

pypocquant.lib.utils.get_project_root() → Path

Returns project root folder.

Returns:

project_root

Return type:

Path

pypocquant.lib.utils.get_data_folder() → Path

Returns the value of the environment variable DATA_FOLDER or, if not found, the value if get_project_root().

Returns:

data_folder

Return type:

Path

pypocquant.lib.utils.image_format_converter(directory, filename, output_dir=None, image_format='tif')

Converts a image in raw format (.’nef’) to the specified open format. Default is ‘.tif’.

rawpy API: https://letmaik.github.io/rawpy/api/rawpy.RawPy.html,

https://letmaik.github.io/rawpy/api/rawpy.Params.html

Parameters:

• directory – Image directory

• filename (str) – Filename of the image to be converted

• output_dir – Output directory to write the converted image to.

• image_format (str) – Format of the image such as i.e. tif

pypocquant.lib.utils.get_iso_date_from_image(image_path)

Returns the date in iso-date format for the image at the given path.

Parameters:

image_path (str) – Path to an image.

Returns:

iso_date

Returns:

iso_time

pypocquant.lib.utils.get_exif_details(image_path)

Returns the Exif metadata for the image at the given path. In particular EXIF ExposureTime, EXIF FNumber, EXIF FocalLengthIn35mmFilm, EXIF ISOSpeedRatings.

Parameters:

image_path (str) – Path to an image.

Returns:

exp_time

Returns:

f_number

Returns:

focal_length_35_mm

Returns:

iso_speed

pypocquant.lib.utils.get_orientation_from_image(image_path)

Returns the image orientation for the image at the given path from the EXIF metadata.

Parameters:

image_path (str) – Path to an image.

Returns:

orientation

pypocquant.lib.utils.is_on_path(prog)

Returns true if a certain program is on the environment variable PATH.

param prog:

Name of a program

type prog:

str

Return type:

boolean

pypocquant.lib.utils.set_tesseract_exe()

Sets the path to the executable of tesseract.

pypocquant.lib.utils.remove_filename_duplicates(data_frame)

Removes duplicates entry from a pandas data frame based on the column NAME. :param data_frame:

Pandas data frame

Returns:

data_frame

Return type:

pd.DataFrame