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Nov 8, 2020 - Python
pretrained-models
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Oct 8, 2020 - Python
🐛 Bug
File "/home/ubuntu/vqa/GMN/mmf/mmf/datasets/builders/visual_genome/dataset.py", line 44, in init
scene_graph_file = self._get_absolute_path(scene_graph_file)
AttributeError: 'VisualGenomeDataset' object has no attribute '_get_absolute_path'
Command that i run in shell
CUDA_VISIBLE_DEVICES="0" mmf_run config=projects/gmn/configs/visual_genome/defaults.yaml model=gm
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Hi
when I do classification with the pretrained vggface2 model, how do I match a probability to a name? do you have a list of labels for the trained model?
Thanks
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Is your feature request related to a problem? Please describe.
With the new flexible Pipelines introduced in deepset-ai/haystack#596, we can build way more flexlible and complex search routes.
One common challenge that we saw in deployments: We need to distinguish between real questions and keyword queries that come in. We only want to route questions to the Reader b
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Please can you train ghostnet.
(i don't have the imagenet dataset)