<commit_before>doodle
======

A library to segment objects in an image in a semi-automated fashion.

As of now, the library can segment objects manually. If you are using `skimage`,
you can find a similar function in the `future` module in the developmental
version.

Semi-automated approaches to segmentation will be available soon.

Installation
------------

Using `pip`:
	
	$ pip install doodle

For the developmental version:
	
	$ git clone https://github.com/pskeshu/doodle.git
	$ pip install -e .

Example
-------

	>>> import doodle
	>>> from skimage import data, io
	>>> camera = data.camera()
	>>> seg = doodle.manual(camera)
	>>> io.imshow(seg)
	>>> io.show()<commit_msg>changed the scope of the project<commit_after>doodle
======

A library to interact with images in Python.

Installation
------------

Using `pip`:
	
	$ pip install doodle

For the developmental version:
	
	$ git clone https://github.com/pskeshu/doodle.git
	$ pip install -e .
{'fraction_non_alphanumeric': 0.13270637408568442, 'fraction_numerical': 0.0, 'mean_word_length': 3.374429223744292, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 21, 'https://': 2, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '6356876', 'n_tokens_mistral': 309, 'n_tokens_neox': 286, 'n_words': 108}