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I tried to train the raccoon dataset using the pytorch-ssd project. There is only one class in that raccoon dataset, `train_ssd.py` program's parameter are simply trained with mb1-ssd and so...

Hello, I'm using efficientnet well. When I use this model, the purpose is to extract the activation layer value of the feature extractor part (. In other words, can the...

Val_loss is required as a parameter, how can I construct it? Thank you

How do you approach when calculating score_map per batch in inference?

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How can you calculate when an image is received in a batch, unlike when inferring from the whole?

question about using the model. It seems that the model uses a template image to detect the difference by comparing the differences. Then, I don't think model can respond to...

When creating "patchcore patch_lib" variable, can we calculate it in batch units?

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Hi! The more image samples are, the greater the 28(Fmap_H)*28(Fmap_W)*num_samples, so it grows because it is projecting. Is there any way to reduce it? ```python def fit(self, train_dl): for sample,...

I wonder why i2c communication works with 12K clock.

I have a question about

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I know the input clock on the sccb interface is 24M, but where did you refer to handling the sio_c after that? I wonder which timing chart you checked because...

```python def Write_to_serial_port(value, *length): data = struct.pack('>B', value) if (verbose_mode): value = bytearray(data) #print(" "+hex(value[0]), end='') print(" "+"0x{:02x}".format(value[0]),end=' ') if(mem_write_active and (not verbose_mode)): print("#",end=' ') ser.write(data) ``` Q. Why did...

PaDiM Shared Performance

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How much is the difference in performance compare to original PaDiM?