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I'm having issue with:
File "/data/raccoon/broken_heart/Co-DETR/mmdet/models/dense_heads/anchor_free_head.py", line 350, in aug_test
return self.aug_test_bboxes(feats, img_metas, rescale=resca…
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Is there a feature for test time augmentation? Ie, run the same image through the network after applying different transformations?
If it doesn't exist, I'm willing to try my hand at implementing …
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Hello! As written on README, I am trying to run `!bash scripts/Retriever/pre_pipeline.sh` on Colab to get LM-preferred and human-preferred documents for the augmentation-adapted training.
I think I …
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Based on a Slack discussion between me and @ttattl I now understand better the reasoning behind applying data augmentation to the validation & test dataset. We should definitely consider some sort of …
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We need to scan the image from top to bottom and output all bounding boxes within it. We can probably use test time augmentation and a similar approach as we used in the previous competition.
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I'd like to do TTA with imgaug with a NN to predict bounding boxes.
So, at predicting time, let's say I'll predict 10 different versions (augmentations) of the image, and average the output.
Aug…
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Currently, the prediction is executed only once. Do we want to support test-time augmentation at some point?
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test time augmentation has the potential to improve model performance without any changes to the model parameters.
before implementing this, let's consider how best to implement it. i imagine the `…
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- BIT paper
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**Proposed Algorithm:**
Get duration of the background file (bg_file) in seconds.
Sample a random value from the range [0, bg_file_seconds - event_file_seconds).
Read the background f…