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Does the dataset only support batch size 1, any plan to fix this?
def retrieve_outputs(augmented_images, augmented_bbox):
outputs_dict = {}
image_shape = None
# We expect only …
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and found no similar bug report.
### Ultralytics YOLO Component
…
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Nice job. I am trying to reproduce your work with `mmdetection` and before it could you help me to confirm some details?
1) The input scale of the training images. Does line https://github.com/fac…
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## Still to be done
- [x] Images of the products should be aligned, possibly in a grid, possibly minimized ?
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- [x] Buttons should be centered and separated by a few horizontal pixels in mo…
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I tried using Datapipeline to generated augmented images along with its mask. But even after successfull execution I cannot see any output folder in neither my image directory nor my labels directeory…
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I see the bboxes can be projected to rescaled images. But for croped or padded images, there is no way out.
I have an image augmented by padding, crop, rescale ... then I can get one augmented b…
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### Project Name
RAG Precision Farming
### Description
This project leverages AI-powered techniques to transform modern farming through Precision Agriculture. By utilizing Retrieval-Augmented Gener…
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When I apply following data augmentation technique
> iaa.Sequential([iaa.Fliplr(0.5)])
will the augmentation be applied to each training set and both non augmented and augmented images are used…
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I see that the student is trained on the augmented unlabeled data. Is the student able to produce reliable labels for these augmented images that it was trained on, or is it only able to produce relia…
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Create datasets that can be used for consistent DeepSSM benchmarking.
Training data must include:
- Original and groomed images
- Original and groomed shapes (meshes or binary segmentations)
- …