Meme

Meme objects contain the information you need to analyze a meme.

class meme_get.memesites.Meme(pic_url, time, title=None, caption=None, raw_pic_url=None, origin=<Origins.NA: 0>, tags=[], score=-1)

A class for representing memes

This class provides a high-level abstraction for memes.

Attributes:

• _pic_url (str): A string representing the url of the picture
• _caption (str): A string representing the caption of the meme
• _time (datetime object): The time of creation of the meme
• _origin (Orgins Enum): The origins enum object representing the origin
• _tags (list): A list of string representing the categories of the meme

get_caption()

Get caption of the meme

Returns:The captions of the meme. Return type:str

get_origin()

Return the origin of the meme

get_pic_url()

Get url to the picture

Returns:The url to the meme picture. Notice that this picture contains the captions. Return type:str

get_raw_pic_url()

Return the url of the meme’s picture without caption

Returns:The url pointing to the meme’s background picture Return type:str Raises:ValueError – if the meme does not have a empty background picture

get_tags()

Representing a list of tags for the meme

get_time()

Return the meme’s creation time

Returns:The creation time of the meme Return type:datetime object

get_title()

Get the title of the meme

Returns:The title of the meme Return type:str Raises:ValueError – if the meme does not have a title

ocr_caption(method='Tesseract', **kwargs)

Use ocr to update self caption

OCR Methods Available

• Tesseract: Open-source OCR Engine
• FontMatching: Using Impact Font and template matching to conduct OCR

When using Tesseract, users need to provide two keyword arguments:

• thres (bool): a boolean indicating whether we need to threshold the image
• cfg (str): a string representing the configuration to use for Tesseract