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Hello, I trained a model in Bonsai and a ProtoNN using the python codes presented in the examples. I would like to know if there is a way to only predict results in python with the trained model.
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Hello,
While trying to generate the arduino sketch for ProtoNN trained on ups10 dataset as explained in the given example here: https://github.com/microsoft/EdgeML/blob/f04237c664eea1e821733928101…
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Hi,
So as to evaluate a saved Bonsai model on the test set. I am using loadModel(currDir) which returns a dicts with all parameters and hyper-parameters.
My question is how can we feed all those…
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I am trying to retrain an image classifier on my coral edgeTPU device. Therefore I followed the steps explained on the Coral's "Retrain an image classification model on-device" tutorial:
## embed…
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Hi,
While running the PyTorch example for FastCells, I got the following error:
```
Traceback (most recent call last):
File "fastcell_example.py", line 94, in
main()
File "fastce…
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Dear every one;
When I run this command python bonsai_example.py -dir usps10/. This source appears a this error
![image](https://user-images.githubusercontent.com/43333942/69107422-49fa1400-0aac…
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IHT routine fails in BonsaiTrainer due to use of np.copy() on Torch tensor.
```
Epoch Number: 32
Classification Train Loss: 0.1960460032439894
Training accuracy (Classification): 0.98222219281…
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I'd like to make a case for Espressif to open source their training code for ESP wake word programming, and open their neural net distillation toolchain for ESP32.
This will accomplish two salient …
maxsu updated
4 years ago
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@metastableB , in the process_google.py file, I think the right way to create multiple versions of the datasets with different classes should be based on the classes listed in the labelmap rather than…
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When going through the Arduino/ProtoNN tutorial and running it on the device it seems to always predict label '9'.
```
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Average prediction time:
35994.77
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