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Hi Guys,
first, I do want to say thank you for such a great work.
We would like to test the model in our product, but the GNU GPL-3.0 license would be a problem for us. Because if we make use …
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these warnings appear during inference. How can I solve it?
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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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setup:
* Jetson Xavier
* deepstream 6.1.0
* cuda 11.4
Hi,
thank you for the great Git, I run Yolo-nas on coco weights, and everything works fine. When I convert the file.pth to file.onnx I do …
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Adding the `class_id` value to the inference response would help simplify the API between supervision and inference. [`sv.Detections`](https://roboflow.github.io/supervision/detection/core/#supervisio…
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How to get the input and output from YOLO-NAS in the form of frames where model predictions are with classes and bounding boxes included?
I saw a recent update in documentation which indicates acc…
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### 🐛 Describe the bug
python3 app.py
The console stream is logged into /home/sacramentos/sg_logs/console.log
[2023-07-03 02:48:24] INFO - crash_tips_setup.py - Crash tips is enabled. You can set …
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### 💡 Your Question
I try to use yolo_nas_l on my data set, and the result of running 100 epoch is as follows. My question is as the title, and my training code is like this.
`
1. The dataset is …
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This is a more general question and less issue I will be happy if you can help me.
My question is how I make transfer learning on my weights train, I will be more concrete if I train from scratch yol…
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I have used to following code for testing (available in documentation):
```
import super_gradients
yolo_nas = super_gradients.training.models.get("yolo_nas_l", pretrained_weights="coco").cuda()…