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Running the demo cv/example_demo.ipynb with the original configuration and images from DAVIS2017 challenge and captions, give significantly different results than the Online Demo.
For example, the first frame from girl-dog sequence the following candidates are obtained:
An example using a black dog as caption is showed below:
ONLINE DEMO:
Using RefCOCO Pre-trained model weights, the results using cv/example_demo.ipynb with different captions for dog don't seem to change, they always return the girl, while the online demo works fine.
EXAMPLE DEMO:
I tried with the weights provided with several captions. RefCOCO+ works for dog but not wheelchair captions, while RefCOCOg works for wheelchair but not dog captions. The results are never the same than those in the Online Demo, which works fine with all captions.
Is there a different configuration available that replicates those results?
The text was updated successfully, but these errors were encountered:
Would it be possible to release the model that is used in the demo online? If this model is better than the ones released, it would be benefitial for the comunity.
Running the demo
cv/example_demo.ipynb
with the original configuration and images from DAVIS2017 challenge and captions, give significantly different results than the Online Demo.For example, the first frame from
girl-dog
sequence the following candidates are obtained:An example using
a black dog
as caption is showed below:ONLINE DEMO:
Using RefCOCO Pre-trained model weights, the results using
cv/example_demo.ipynb
with different captions for dog don't seem to change, they always return the girl, while the online demo works fine.EXAMPLE DEMO:
I tried with the weights provided with several captions. RefCOCO+ works for dog but not wheelchair captions, while RefCOCOg works for wheelchair but not dog captions. The results are never the same than those in the Online Demo, which works fine with all captions.
Is there a different configuration available that replicates those results?
The text was updated successfully, but these errors were encountered: