MSE-CNN Implementation: src/msecnn_raulkviana/msecnn.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'

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Classes
class	msecnn_raulkviana.msecnn.QP_half_mask

class	msecnn_raulkviana.msecnn.MseCnnStg1

class	msecnn_raulkviana.msecnn.MseCnnStgX

class	msecnn_raulkviana.msecnn.LossFunctionMSE

class	msecnn_raulkviana.msecnn.LossFunctionMSE_Ratios

Namespaces
namespace	msecnn_raulkviana

namespace	msecnn_raulkviana.msecnn

Functions
	msecnn_raulkviana.msecnn.init_weights_seq (m)
	Initializes a given sequential model with the Xavier Initialization (with uniform distribution)

	msecnn_raulkviana.msecnn.init_weights_single (m)
	Initializes a given layer with the Xavier Initialization (with uniform distribution)