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### 💡 Your Question
Is it possible in model.prediction to **use the original file name** to store ?
when accessing prediction results and something was predicted I want to save to same file name.
…
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This is just an expression of our admiration for the outstanding performance of your open-source YOLO-NAS model. I am writing this on behalf of "EdgeStore", a company that specializes in enabling user…
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### 💡 Your Question
After converting the YoloNAS_S model to ONNX format (using export_quantized_module_to_onnx ) and while performing the inference using onnxruntime-gpu , after I execute
`ort…
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### 💡 Your Question
As ↑ point.
### Versions
_No response_
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Hi there,
starting my journey with CAUSICA, any plans to add examples with this other 3 datasets?
https://github.com/d909b/perfect_match/tree/master
Cheers.
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### 💡 Your Question
I am trying to use multigpu training using distributed data parallel strategy
```python
import torch
import os
from PIL import Image
from super_gradients.training imp…
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En Firefox aun no se actualiza, probe desinstalando y reinstalando el plugin y nada. Sigue en la version 3.13. En Chrome si se actualizo
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[/usr/local/lib/python3.10/dist-packages/super_gradients/training/processing/processing.py](https://localhost:8080/#) in preprocess_image(self, image)
72 processed_image, metadata_lst = …
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### 💡 Your Question
There is much written about using INT8 quantization (QAT and PTQ) with YOLO-NAS.
However, I can find nothing about using it with NPUs.
It seems to be designed for CPU use and to…
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Hola!
Genial que te pusiste con esto, mas commits y mejor explicacion que ML, que parece que mucho no les interesa...
Me vino genial tu implementación para ver que onda, porque tengo que hacer alg…