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transformers/examples/lxmert
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Antonio V Mendoza e0e0675ac7
Demoing LXMERT with raw images by incorporating the FRCNN model for roi-pooled extraction and bounding-box predction on the GQA answer set. (#6986) 
* adding demo

* Update examples/lxmert/requirements.txt

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Update examples/lxmert/checkpoint.sh

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* added user input for .py demo

* updated model loading, data extrtaction, checkpoints, and lots of other automation

* adding normalizing for bounding boxes

* Update requirements.txt

* some optimizations for extracting data

* added data extracting file

* added data extraction file

* minor fixes to reqs and readme

* Style

* remove options

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: Lysandre <lysandre.debut@reseau.eseo.fr>
2020-09-14 10:07:04 -04:00
..
demo.ipynb Demoing LXMERT with raw images by incorporating the FRCNN model for roi-pooled extraction and bounding-box predction on the GQA answer set. (#6986) 2020-09-14 10:07:04 -04:00
extracting_data.py Demoing LXMERT with raw images by incorporating the FRCNN model for roi-pooled extraction and bounding-box predction on the GQA answer set. (#6986) 2020-09-14 10:07:04 -04:00
modeling_frcnn.py Demoing LXMERT with raw images by incorporating the FRCNN model for roi-pooled extraction and bounding-box predction on the GQA answer set. (#6986) 2020-09-14 10:07:04 -04:00
processing_image.py Demoing LXMERT with raw images by incorporating the FRCNN model for roi-pooled extraction and bounding-box predction on the GQA answer set. (#6986) 2020-09-14 10:07:04 -04:00
README.md Demoing LXMERT with raw images by incorporating the FRCNN model for roi-pooled extraction and bounding-box predction on the GQA answer set. (#6986) 2020-09-14 10:07:04 -04:00
requirements.txt Demoing LXMERT with raw images by incorporating the FRCNN model for roi-pooled extraction and bounding-box predction on the GQA answer set. (#6986) 2020-09-14 10:07:04 -04:00
utils.py Demoing LXMERT with raw images by incorporating the FRCNN model for roi-pooled extraction and bounding-box predction on the GQA answer set. (#6986) 2020-09-14 10:07:04 -04:00
visualizing_image.py Demoing LXMERT with raw images by incorporating the FRCNN model for roi-pooled extraction and bounding-box predction on the GQA answer set. (#6986) 2020-09-14 10:07:04 -04:00

README.md

LXMERT DEMO

  1. make a virtualenv: virtualenv venv and activate source venv/bin/activate
  2. install reqs: pip install -r ./requirements.txt
  3. usage is as shown in demo.ipynb