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Docs Colab, OBB and typos fixes (#10366)

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Co-authored-by: Olivier Louvignes <olivier@mg-crea.com>
Co-authored-by: RainRat <rainrat78@yahoo.ca>
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Glenn Jocher 2024-04-27 13:16:40 +02:00 • committed by GitHub
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8
docs/en/guides/coral-edge-tpu-on-raspberry-pi.md
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@ -82,7 +82,7 @@ To use the Edge TPU, you need to convert your model into a compatible format. It
from ultralytics import YOLO
# Load a model
model = YOLO('path/to/model.pt') # Load a official model or custom model
model = YOLO('path/to/model.pt') # Load an official model or custom model
# Export the model
model.export(format='edgetpu')
@ -91,7 +91,7 @@ To use the Edge TPU, you need to convert your model into a compatible format. It
=== "CLI"
```bash
yolo export model=path/to/model.pt format=edgetpu # Export a official model or custom model
yolo export model=path/to/model.pt format=edgetpu # Export an official model or custom model
```
The exported model will be saved in the `<model_name>_saved_model/` folder with the name `<model_name>_full_integer_quant_edgetpu.tflite`.
@ -108,7 +108,7 @@ After exporting your model, you can run inference with it using the following co
from ultralytics import YOLO
# Load a model
model = YOLO('path/to/edgetpu_model.tflite') # Load a official model or custom model
model = YOLO('path/to/edgetpu_model.tflite') # Load an official model or custom model
# Run Prediction
model.predict("path/to/source.png")
@ -117,7 +117,7 @@ After exporting your model, you can run inference with it using the following co
=== "CLI"
```bash
yolo predict model=path/to/edgetpu_model.tflite source=path/to/source.png # Load a official model or custom model
yolo predict model=path/to/edgetpu_model.tflite source=path/to/source.png # Load an official model or custom model
```
Find comprehensive information on the [Predict](../modes/predict.md) page for full prediction mode details.