| | |
- format_time(secs)
- human_readable(number)
- log_env(debug, progress)
- mark_dot(image, dot, inner_rad=3, outer_rad=6, color=1)
- mark_dots(image, poses)
- memory_report()
- percent_normalize(image, percent=0.1)
- read_multicolumn(table, name, length_column=None)
- The complement function to write_multicolumn. Finds all columns like name + '_XX' where
XX is an integer and concatenates the columns to create a 2d array.
If there is also a column name + '_length' it will be used to create a
ragged array, where each row has a different length.
- sequence_plot(axis, sequences, separate=False)
- simple_progress(iterable, total=None)
- standardize_format(image, expected_dims)
- Converts an input image into the format
expected, this being:
(width, height), (channels, width, height), (cycle, channels, width, height)
depending on the expected_dims.
- to_rgb8(image, percent_norm=0.1, colormap=None)
- write_multicolumn(table, name, array, length_column=None)
- Splits a 2d array into multiple columns in a dataframe for saving to csv or
similar format. Writes N columns with names name + '_0' to name + '_N' where N is array.shape[1].
Also supports ragged arrays where not every row is the same length, in this case pass
a list of lists. Writes the different number of items in each row to another column named
length_column, which defaults to name + '_length'
The complement function to read_multicolumn which can be used to extract the 2d array
back from the table.
|