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Visualization:reimplement demo.py #628

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Visualization:reimplement demo.py #628

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Commits on Aug 31, 2016

  1. Add config vars. to resize images 

    - Add `SCALE_MUTIPLES_OF` to make image sizes be multiples of a given number
    Sanghoon Hong committed Aug 31, 2016
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  2. Make anchor ratio to be configurable in a prototxt

    Sanghoon Hong committed Aug 31, 2016
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Commits on Sep 1, 2016

  1. Add bounding box voting

    Sanghoon Hong committed Sep 1, 2016
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  2. Update README.md

    Sanghoon Hong committed Sep 1, 2016
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  3. Update README.md and downloading script

    Sanghoon Hong committed Sep 1, 2016
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Commits on Sep 2, 2016

  1. Update the link to Caffe submodule

    @kyehyeon
    kyehyeon committed Sep 2, 2016
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  2. Correct deprecated variables (param_str_ -> param_str)

    @kyehyeon
    kyehyeon committed Sep 2, 2016
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  3. Add PVANET prototxts and a script for downloading caffemodels

    @kyehyeon
    kyehyeon committed Sep 2, 2016
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  4. Update README

    @kyehyeon
    kyehyeon committed Sep 2, 2016
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  5. Update README

    @kyehyeon
    kyehyeon committed Sep 2, 2016
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  6. Update README

    @kyehyeon
    kyehyeon committed Sep 2, 2016
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  7. Update README

    @kyehyeon
    kyehyeon committed Sep 2, 2016
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  8. Update submodule 'caffe' 

    - Now it's an up-to-date Caffe with additional layers for Faster R-CNN
    Sanghoon Hong committed Sep 2, 2016
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Commits on Sep 13, 2016

  1. Update a script for downloading original caffemodels

    @kyehyeon
    kyehyeon committed Sep 13, 2016
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Commits on Sep 19, 2016

  1. Add PVANET ImageNet pretrained models, PVANET-lite models, and their … 

    …download scripts; Update README
    @kyehyeon
    kyehyeon committed Sep 19, 2016
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  2. Update the download script for ImageNet pretrained models

    @kyehyeon
    kyehyeon committed Sep 19, 2016
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Commits on Sep 28, 2016

  1. Add Google Drive download links for PVANET models

    @kyehyeon
    kyehyeon authored and Sanghoon Hong committed Sep 28, 2016
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Commits on Sep 30, 2016

  1. Update README.md

    Sanghoon Hong committed Sep 30, 2016
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  2. Add training prototxts 

    - They're different from the one we've used.
    Sanghoon Hong committed Sep 30, 2016
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Commits on Oct 11, 2016

  1. Fix a bug in training examples

    Sanghoon Hong committed Oct 11, 2016
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Commits on Oct 21, 2016

  1. Add a hotfix to enable 'average_loss' 

    - This bug originates from the py-faster-rcnn code
    Sanghoon Hong committed Oct 21, 2016
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  2. Update README.md

    Sanghoon Hong committed Oct 21, 2016
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Commits on Nov 2, 2016

  1. Add a tool to merge 'Conv-BN-Scale' into a single 'Conv' layer.

    Sanghoon Hong committed Nov 2, 2016
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Commits on Nov 21, 2016

  1. Update README.md

    Sanghoon Hong committed Nov 21, 2016
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Commits on Dec 8, 2016

  1. Update README.md (adding an arXiv link for EMDNN-accepted version)

    Sanghoon Hong committed Dec 8, 2016
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Commits on Dec 9, 2016

  1. aUpdate README.md (adding BibTeX)

    Sanghoon Hong committed Dec 9, 2016
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Commits on Dec 26, 2016

  1. Merge branch 'master' into develop

    Sanghoon Hong committed Dec 26, 2016
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Commits on Dec 27, 2016

  1. Add PVANet 9.1 

    - Added new resources in 'models/pvanet'
- Moved the old resources into 'models/pvanet_obsolete'
    Sanghoon Hong committed Dec 27, 2016
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  2. Add weighted box scoring (vote heuristics)

    Sanghoon Hong committed Dec 27, 2016
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  3. Update README.md

    Sanghoon Hong committed Dec 27, 2016
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  4. Add a training example

    Sanghoon Hong committed Dec 27, 2016
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Commits on Dec 28, 2016

  1. Add a prototxt for ImageNet classification (192x192 model)

    Sanghoon Hong committed Dec 28, 2016
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  2. Fix PVA9.1 prototxt (eliminated missing layers)

    Sanghoon Hong committed Dec 28, 2016
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Commits on Jan 5, 2017

  1. Update README.md 

    - Added Google Drive links for caffemodels
    Sanghoon Hong committed Jan 5, 2017
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Commits on Jan 16, 2017

  1. Fix README.md

    Sanghoon Hong committed Jan 16, 2017
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Commits on Jun 8, 2017

  1. Update demo.py

    @ygren
    ygren authored Jun 8, 2017
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  2. Create README.md

    @ygren
    ygren authored Jun 8, 2017
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