Implement confusion matrix in the semantic segmentation results (one-vs-the-rest approach) -- 2

I have a code that performs the segmentation of images in five classes. I have already done the training using a one-vs-the-rest (OvR) approach and implemented some standard Keras metrics, such as IoU, recall and accuracy. However, when I tried to implement the confusion matrix between all classes, the results do not match those produced by standard metrics.

I need the confusion matrix to be implemented correctly. I provide access to my code (in Google Colab), training weights, and, if necessary, the dataset.

Habilidades: Python, Machine Learning (ML), Keras, Computer Vision

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Acerca do Empregador:
( 0 comentários ) Rio de Janeiro, Brazil

ID do Projeto: #29467025

9 freelancers estão ofertando em média $58 nesse trabalho


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Code def func_calConfusionMatrix(predY, trueY): """ Function to return accuracy, precison and recall of both the classes """ #creating a matrix of zeroes of size 2 x 2 K = len([login to view URL](t Mais

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