HongChuang/ultralytics-ascend
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

Reformat Markdown code blocks (#12795)

Browse source 
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
This commit is contained in:
Glenn Jocher 2024-05-18 18:58:06 +02:00 • committed by GitHub
parent 2af71d15a6
commit fceea033ad
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
128 changed files with 1067 additions and 1018 deletions
Download patch file Download diff file Expand all files Collapse all files

6
docs/en/guides/coral-edge-tpu-on-raspberry-pi.md
View file

@ -82,10 +82,10 @@ 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 an 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')
model.export(format="edgetpu")
```
=== "CLI"
@ -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 an 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")