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Commits on Oct 29, 2020

• Update README.md

  shamangary

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• Update README.md

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Commits on Aug 11, 2020

• Update README.md

  shamangary

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Commits on Aug 9, 2020

• Update requirements.txt

  shamangary

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Commits on Apr 28, 2020

• Update requirements.txt

  shamangary

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Commits on Oct 24, 2019

• Update requirements.txt

  shamangary

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Commits on Oct 23, 2019

• Update run_fsanet_train.sh

  shamangary

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Commits on Oct 6, 2019

• Update module explanation

  shamangary

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• Update README.md

  shamangary

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• converted tf pb model upload

  shamangary

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• Update README.md

  shamangary

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• Merge pull request shamangary#22 from ksachdeva/keras-latest

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  shamangary

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Commits on Oct 1, 2019

• docs - add a section in README.md to show the example on how to convert to tensorflow frozen model

  ksachdeva

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• fix - in keras_to_tf.py, make sure to first manually load weights in the constructed model else an empty tf graph is getting saved

  ksachdeva

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• fix - in SSRLayer, make sure to implement compute_output_shape else the guessed shape by keras is wrong

  ksachdeva

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• Merge branch 'master' into keras-latest

  shamangary

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Commits on Sep 30, 2019

• fix - report the usage of constant for map dimensions instead of hard coded value

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  ksachdeva

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• feat - add a script to convert existing models to tensorflow frozen model (.pb)

  ksachdeva

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• feat - decorate various custom layers with register_keras_custom_object

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  ksachdeva

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• fix - use the older version of batch_dot from keras in capsule layer

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  ksachdeva

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• refactor - introduce AggregatedFeatureExtractionLayer and use it from various models / no more Lambda layers usage in the model anymore.

  ksachdeva

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• refactor - introduce PrimCapsLayer and use it when building the S Model instead of Lambda layers

  ksachdeva

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• refactor - introduce MatrixNormLayer and use it in place of Lambda layer when building S Model

  ksachdeva

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• refactor - introduce MatrixMultipleLayer to replace the Lambda layers that use tf.matmul

  ksachdeva

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• refactor - introduce MomenetsLayer that compute the variance on the input data and use it instead of the Lambda layer

  ksachdeva

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• refactor - introduce FeatSliceLayer that replaces the lambda layer used for slicing the features in F model

  ksachdeva

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• refactor - introduce a custom keras layer for SSR instead of lambda function

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Commits on Sep 27, 2019

• Replace fix parameter with self.map_xy_size

  shamangary

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• refactor - remove not needed layers and code from capsulelayers.py

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  ksachdeva

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• import cv2

  shamangary

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• Fix link of module explanation

  shamangary

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• remove misc and fix some (x,y) mix up

  shamangary

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• preserve the old version

  shamangary

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• Update README.md

  shamangary

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• Update demo_FSANET.py

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