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View Code? Open in Web Editor NEWA pytorch Implementation of Open Vocabulary Object Detection with Pseudo Bounding-Box Labels
License: BSD 3-Clause "New" or "Revised" License
A pytorch Implementation of Open Vocabulary Object Detection with Pseudo Bounding-Box Labels
License: BSD 3-Clause "New" or "Revised" License
Hi,
I get this error when trying to load the model :
magic_number = pickle_module.load(f, **pickle_load_args)
_pickle.UnpicklingError: invalid load key, '<'.
I had to change some imports from transformers to match the new version of transformers, and change PY3 references to PY37.
Dear author, Thanks for your work! I'm interested in the Pseudo Label Generation part.
I have generated Pseudo Label with supervised proposal generator MaskRCNN with ResNet50 train on COCO2017. We get good results with supervised proposal generator:
I wonder how I can reproduce the results in an unsupervised proposal generator (Selective Search)? Can you release this part of the code? Thanks!
Dear Sir:
Your team did a great job. And Thank you for opening the source code. I recently do research on you project, I see the Activation Map in your paper. Can you provide the code of this visualization of this part?
Thanks again.
Hi,
I'm confused that:
How to generate proposals containing (numpy.ndarray) of a certain category in the proposal detector? (the *.pkl and *_infor.pkl)
Thanks
When I runovd_install.sh
, the packages in requirements.txt
conflict.
The transformers 3.4.0 requires tqdm>=4.27, while the torchvision 0.2.2 requires tqdm==4.19.9.
How to solve it? By change ovd_install.sh
like this?
from
for line in $(cat requirements.txt)
do
pip install $line
done
to
for line in $(cat requirements.txt)
do
conda install $line
done
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