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Can we use it? if image has multiple masks of same class #44

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Can we use it? if image has multiple masks of same class #44

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Commits on Mar 16, 2017

  1. my changes to the original repo

    Saeed Izadi committed Mar 16, 2017
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  2. .gitignore now works

    Saeed Izadi committed Mar 16, 2017
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  3. dummy change

    Saeed Izadi committed Mar 16, 2017
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Commits on Mar 17, 2017

  1. adds validation loss and accuracy while training

    Saeed Izadi committed Mar 17, 2017
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  2. adds plots for train and loss

    Saeed Izadi committed Mar 17, 2017
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  3. fixes plot and adds cross_val function

    Saeed Izadi committed Mar 17, 2017
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  4. cross validation for hyper-parameters works

    Saeed Izadi committed Mar 17, 2017
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Commits on Mar 18, 2017

  1. cross validation works well

    Saeed Izadi committed Mar 18, 2017
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Commits on Mar 19, 2017

  1. plots and saves loss and accuracy figures while training

    Saeed Izadi committed Mar 19, 2017
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  2. cleans README.md

    Saeed Izadi committed Mar 19, 2017
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Commits on Mar 21, 2017

  1. replaces binary with jaccard acc

    Saeed Izadi committed Mar 21, 2017
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Commits on Mar 22, 2017

  1. computes trains loss/acc for a subset of training set

    Saeed Izadi committed Mar 22, 2017
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Commits on Mar 24, 2017

  1. chnages disciminator configuration

    Saeed Izadi committed Mar 24, 2017
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  2. adds cross_val fro gan

    Saeed Izadi committed Mar 24, 2017
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Commits on Apr 1, 2017

  1. adds vgg16 with upsampling decoder

    Saeed Izadi committed Apr 1, 2017
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  2. bilinear interpolation works but nan loss

    Saeed Izadi committed Apr 1, 2017
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Commits on Apr 4, 2017

  1. saves npy for prediction to ease the evaluation

    Saeed Izadi committed Apr 4, 2017
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Commits on Apr 8, 2017

  1. jaccard works well for bce and salgan

    Saeed Izadi committed Apr 8, 2017
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Commits on Apr 11, 2017

  1. corrects prediction and adds evaluation metrics

    Saeed Izadi committed Apr 11, 2017
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