<commit_before>Feature Detection
=================

.. highlight:: cpp



Canny
---------
Finds edges in an image using the [Canny86]_ algorithm.

.. ocv:function:: void Canny( InputArray image, OutputArray edges, double threshold1, double threshold2, int apertureSize=3, bool L2gradient=false )

.. ocv:pyfunction:: cv2.Canny(image, threshold1, threshold2[, edges[, apertureSize[, L2gradient]]]) -> edges

.. ocv:cfunction:: void cvCanny( const CvArr* image, CvArr* edges, double threshold1, double threshold2, int aperture_size=3 )

    :param image: single-channel 8-bit input image.

    :param edges: output edge map; it has the same size and type as  ``image`` .
<commit_msg>Change Canny input image description, we can use multichannel image now<commit_after>﻿Feature Detection
=================

.. highlight:: cpp



Canny
---------
Finds edges in an image using the [Canny86]_ algorithm.

.. ocv:function:: void Canny( InputArray image, OutputArray edges, double threshold1, double threshold2, int apertureSize=3, bool L2gradient=false )

.. ocv:pyfunction:: cv2.Canny(image, threshold1, threshold2[, edges[, apertureSize[, L2gradient]]]) -> edges

.. ocv:cfunction:: void cvCanny( const CvArr* image, CvArr* edges, double threshold1, double threshold2, int aperture_size=3 )

    :param image: 8-bit input image.

    :param edges: output edge map; single channels 8-bit image, which has the same size as  ``image`` .

{'fraction_non_alphanumeric': 0.13925822253324002, 'fraction_numerical': 0.020293911826452064, 'mean_word_length': 4.542635658914729, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 5, 'https://': 0, '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': '5888198', 'n_tokens_mistral': 455, 'n_tokens_neox': 413, 'n_words': 153}