xlearn.transform

Module containing model, predict and train routines

Functions:

model(dim_img, nb_filters, nb_conv)	the cnn model for image transformation
train(img_x, img_y, patch_size, patch_step, ...)	Function description.
predict(mdl, img, patch_size, patch_step, ...)	the cnn model for image transformation

xlearn.transform.model(dim_img, nb_filters, nb_conv)

the cnn model for image transformation

Parameters

• dim_img (int) – The input image dimension

• nb_filters (int) – Number of filters

• nb_conv (int) – The convolution weight dimension

Returns

mdl – Description.

xlearn.transform.predict(mdl, img, patch_size, patch_step, batch_size, dim_img)

the cnn model for image transformation

Parameters

• img (array) – The image need to be calculated

• patch_size ((int, int)) – The patches dimension

• dim_img (int) – The input image dimension

Returns

img_rec – Description.

xlearn.transform.train(img_x, img_y, patch_size, patch_step, dim_img, nb_filters, nb_conv, batch_size, nb_epoch)

Function description.

Parameters

• parameter_01 (type) – Description.

• parameter_02 (type) – Description.

• parameter_03 (type) – Description.

Returns

return_01 – Description.