This database allow you to create a new database composed by aggregating different other database.
This database allows you to select interactively which database you want to use.
Its implementation is really minimal for the moment, but it may act as memo
when you search of the name of databasse.
None
None
None
None
This is database allow to shuffle entries in a database
* Returns elements from vector database as a set for doing some learning on it.
This is a database decorator that selects for you a random part of the database according to a random seed. If you pass the same parameters to the traindb database you can obtain the corresponding training set.
None
This is a filter database that allows you to limit the number of elements extracted in a database. This avoid developpers to include this useful feature in all the database.
This database either DEPRECATED either to be up UPDATED.
This create a dabase from another database by exploding all the elements of the initial database according to specified structure.
This database allows you to reagglomerate an exploded database
When your features are heavy to compute, it is smart to precompute them in a trackfile.
You may then access the computed features through this module.
None
This is a database decorator that selects for you a random part of the database according to a random seed. If you pass the same parameters to the testdb database you can obtain the corresponding testdatabase.
This is a metadatabase use to run "once" only a pipeline that actually does not need any input
This allows you to apply some model on the database before to explore it.
None
None
None
None
None
* Returns elements from vector database as a set for doing some learning on it.
* Create noise images
This database returns a set of 2d points that are distributed according to an input image coming from an inputdatabase when this input database is considered as a Probability Density Function.
None
None
None
None
None
None
None
None
This is a reference database object specification.
None
None
Returns a database composed by image stored in different subdirectories of specified directory. The directory name may later be used as label for classification.
None
None
None
Extract the pages of PDF as a database of image.
This may be useful for testing OCR algorithm.
None
None
alternative database where we extact sequence of images assumed to be close to each other by reading file linearly and dropping useless frames, since it is faster than seeking in some case
Displays all the kanjis from the database, you may specify the size of the destination area, the size of the rendering area, the size
of the font, and an upper bound on the number of kanjis that we want to see displayed.
The rendering engine is QT. So you need to have a working display somewhere.
None
Provide a way to use strucutred directory as database of images.
File may be filtered by name, randomized in order , and rescale.
TODO:
* provide more complex file selection schemes (recursion ..)
None
Returns a database whose files contain a user specified listing of files. This may also be used in a pipe mode locate ".jpg" | pycvf_dbshow --db "image.files()" locate ".jpg" | pycvf_build_index --db "image.files()"
None
None
This database returns the videoshots of another video database according to some keyframe model.
The keyframe model is expected to return a generator for getting the next keyframe according to a video
object.
None
None
None
None
This database allows you to apply easily some model to each of the frame of a video
(Maybe it would be better as a node, and thus it may be deprecated)
None
Returns a database whose files contain a user specified listing of files. This may also be used in a pipe mode locate ".mpg" | pycvf_dbshow --db "video.files()" ... locate ".mpg" | pycvf_build_index --db "video.files()" ...
None
None
* Create noise images
* Create noise images
* Rotation configuration according to my PhD Thesis (Bertrand Nouvel)
= For some particular angles autosimilar pattern occur see thesis for more details
* Create space-time diagram of Cellular Automata working on $\ZZ^2$