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Hi,
[Train_a_linear_classifier_on_top_of_DINOv2_for_semantic_segmentation](https://github.com/NielsRogge/Transformers-Tutorials/blob/master/DINOv2/Train_a_linear_classifier_on_top_of_DINOv2_for_sem…
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Hi, I want to know how to make multi scale training?
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We have vectors and we have `ScaleFactor`, which is 1D. What we are missing is an ability to scale vectors by a non-uniform scale with potential change of space. This would be helpful for code in http…
kvark updated
6 years ago
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Multi-scale models with hierarchical grids should be possible here. Essentially this just requires relaxing the "All grids are the same size" rule, and allowing users to write interactions between dif…
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recently i want to try multi-scale testing.
since the `rpn` network does not support multi-scale or `batchsize > 1`, so i set `batchsize = 1` and loop for multi-scale to stack the results of each sca…
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from the code, i found that "multi-scale training" means : randomly select a scale from multiple scales. u only need to train once. is that right??
Because in the past, I always thought that "multi-s…
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the code of multi-scale testing strategy?
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Hi,
your project looks very interesting and I wonder if I can use it in my Kubernetes-based multi instance setup. But after reading the docs I am a bit confused.
Quoting from the README:
```
…
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How do I change the config to start training at multiple scales? The min image size parameter in the config does not accept multiple values and throws error when training starts.
ghost updated
4 years ago
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The objects I am trying to segment substantially vary in size. Some could be 8x8 pixels and some could be 500x500 pixels, in a 700x700 image.
So far Mask-RCNN does a very good job detecting small o…