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Hi,
First of all, thank you for this great project!
I am trying to work with a fully observable environment and I am doing so by making the following changes to env.py:
`def make_env(env_ke…
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I can not donwload onnx files from filez.com, is there any alternative for that?
```
./download_model.sh
--2024-05-18 15:42:23-- https://ftrg.zbox.filez.com/v2/delivery/data/95f00b0fc900458ba13…
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I trained a custom yoloV2 detector with 2 classes using the tools provided in this repository, but I've to modify the input size of the image to 416x416 to get better results for one of the classes du…
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Hi again,
I was able to reconstruct Figure 9 and the corresponding lines in Figure 8 (not exactly but closely)
(MaxMin Hinge 0.1, MaxMin Hinge 0.3, ReLU Hinge 0.1 and ReLU Hinge 0.3) by using `fc_c…
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I ran my dataset on a capsule network. My image size is **224 * 224**. I modified caps_ 2_ vec_ Len and upsample3= tf.image.resize_ nearest_ Neighbor (conv2, (224, 224)) and data_ handler, I'm a novic…
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Hi,
Thank you so much for the amazing work. I have one question about the implementation.
In the paper, the propagation rule in matrix form is
![image](https://user-images.githubusercontent.com/1…
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**Describe the bug**
I was converting a keras to ONNX through one library (tf2onnx)[https://github.com/onnx/tensorflow-onnx], however, I find out that: when giving a NaN input, `onnxruntime` will cor…
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class SE(nn.Module):
def __init__(self, w=8, c=896, c_tmp=56):
super().__init__()
self.w=w
self.c=c
self.c_tmp=c_tmp
self.fc1 = nn.Linear(self.c, …
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Hi, here is the speaker classifier. It might be slightly different from the one we used in this ariticle due to some code refactoring, but the result should be similar.
`c_in`: The dimension of the …
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hi, I tried to follow this project and wanted to train one-class object detector, but my model seemed to learn nothing. the .protoctxt is here:
name: "DetectNet"
layer {
name: "train#_data"
ty…