Finds the movie frame that matches best the given signature. Will try all movie frames except the ones designated as forbidden (which

Returns the squared distance (matching error) between a frame and a signature.

applies a function to each element of a 2D-ish array. So this array: [ [ [A11] [A12] ] [ [A21] [A22] ] ] becomes this: [

applies tqdm (progress bar) to the list to iterate, only if VERBOSE=True.

Extract all members from the archive to the current working directory and set owner, modification time and permissions on directories afterwards. `pat

Returns the signature of the image. [ [ RGB1, RGB2, RGB3] [ RGB4, RGB5, RGB6] ] and returns [R1 G1 B1 R2 G2 B2 R3 G3 B3... R6 G6 B6]

Download setuptools from a specified location and return its filename `version` should be a valid setuptools version number that is available as an e

Splits a 2D-ish array into a mosaic of smaller arrays. In short, this array: [ [ A ] ] is splitted like this [ [ [A11] [A12] ]

Build the arguments to 'python setup.py install' on the setuptools package

Replaces some frames to avoid that frames too close in the movie end up too close in the mosaic.

See method .make_mosaic

Diversifies the mosaic by replacing the overused frames by different (and non optimal) frames. Parameters ==========

Parse the command line for options

Install or upgrade setuptools and EasyInstall

Returns the sum of the squared distance of each pixel to the nearest color in the movie_kmeans set.

Finds the frames whose colors resemble most the main colors of the movie, and thus would make good candidates for a mosaic. This is

Extracts frames from a movie and turns them into thumbnails. Parameters ========== filename Name of the l

Makes a mosaic file from the best_matches found. Finds the right frames to reconstitute the given image, in three steps:

Returns [R,G,B], mean color of the WxHx3 numpy image ``arr``.

Reconstitutes a splitted array. Kind of the inverse of split-array. In short, this array [ [ [A11] [A12] ] [ [A21] [A22] ] ]