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Hello sir,
I tried to run your model on a single sample image. When the topk value = 900, the model detects most of the objects( with confidence > 0.5), but when I reduce the topk value to 100, mor…
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- Name of layer type:
deform_conv2d
- Is this a PyTorch or a TensorFlow layer type:
PyTorch
- Your version of coremltools:
7.0b1
- Your version of PyTorch/TensorFlow:
PyTorch 2.0.1
- I…
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## Current Behavior
ITKElastix accepts a generic `ExternalInitialTransform` to provide a generic `itk.Transform` as the initial forward transform to use. However, ITKElastix fails to run registrati…
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@waleedka
I just red [this article](https://arxiv.org/pdf/1711.10370.pdf) mentioning that adding an MLP to the very end of the mask branch gave better results than FCN left alone. I would like to…
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```
What steps will reproduce the problem?
1. Open an armature-animated 3d model with blender. Such as
http://www.blendswap.com/blends/view/72521
2. In object mode, shift-RMB select the mesh object a…
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Thank you for your great work. Does this algorithm and repo support multi-class as well?
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Hello, if I set the input image as [1, None, None, 3] instead of [-1,28,28,1], there will come out to the following bugs:
offset_map = tf.reshape(offset_map, [batch, i_h, i_w, f_h, f_w, 2])
TypeEr…
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Thanks for this great work!
I noticed the loss functions adopted are dependent on **no_obj**. Could you please explain when **no_obj** is true and why the loss functions are dependent on it?
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Is it convenient to provide reasoning files?
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In some cases I'm getting this error for Extended MultiPass registration:
Exception has occurred: RuntimeError
Registration error. Additional details: Cml0azo6RXhjZXB0aW9uT2JqZWN0ICgwMDAwMDBENDM1RE…