MSE-CNN Implementation: src/msecnn_raulkviana/utils.py File Reference

MSE-CNN Implementation 1

Code database with the implementation of MSE-CNN, from the paper 'DeepQTMT: A Deep Learning Approach for Fast QTMT-based CU Partition of Intra-mode VVC'

Loading...

Searching...

No Matches

Namespaces
namespace	msecnn_raulkviana

namespace	msecnn_raulkviana.utils

Functions
	msecnn_raulkviana.utils.echo (string, padding=80)
	Prints and clears.

	msecnn_raulkviana.utils.update_docstring (path)
	Creates and updates the beginning docstring of python file.

	msecnn_raulkviana.utils.functions_used_from_each_module (str_file)
	Detect the functions associated with each import.

	msecnn_raulkviana.utils.multi_thresholding (rs, preds)

Variables
str	msecnn_raulkviana.utils.DOCSTRING_BEGINNING_CREATE

str	msecnn_raulkviana.utils.DOCSTRING_BEGINNING_UPDATE

str	msecnn_raulkviana.utils.STRING_PATH_1 = "updated_docs"

str	msecnn_raulkviana.utils.STRING_PATH_1_2 = "created_docs"

str	msecnn_raulkviana.utils.STRING_PATH_2 = ".py"

str	msecnn_raulkviana.utils.NONE_STRING = "- None"

str	msecnn_raulkviana.utils.AUTHOR = "Raul Kevin Viana"