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

Comet ML Docs - Fix link, naming and formatting (#16941)

Browse source 
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
This commit is contained in:
Jan Knobloch 2024-10-15 17:50:16 +02:00 • committed by GitHub
parent a622b404ef
commit f87b92dbc3
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
1 changed files with 12 additions and 8 deletions
Download patch file Download diff file Expand all files Collapse all files

20
docs/en/integrations/comet.md
View file

@ -50,17 +50,21 @@ After installing the required packages, you'll need to sign up, get a [Comet API
Then, you can initialize your Comet project. Comet will automatically detect the API key and proceed with the setup. Then, you can initialize your Comet project. Comet will automatically detect the API key and proceed with the setup.
```python !!! example "Initialize Comet project"
import comet_ml
comet_ml.login(project_name="comet-example-yolov8-coco128") === "Python"
```
```python
import comet_ml
comet_ml.login(project_name="comet-example-yolo11-coco128")
```
If you are using a Google Colab notebook, the code above will prompt you to enter your API key for initialization. If you are using a Google Colab notebook, the code above will prompt you to enter your API key for initialization.
## Usage ## Usage
Before diving into the usage instructions, be sure to check out the range of [YOLO11 models offered by Ultralytics](../models/index.md). This will help you choose the most appropriate model for your project requirements. Before diving into the usage instructions, be sure to check out the range of [YOLO11 models offered by Ultralytics](../models/yolo11.md). This will help you choose the most appropriate model for your project requirements.
!!! example "Usage" !!! example "Usage"
@ -75,7 +79,7 @@ Before diving into the usage instructions, be sure to check out the range of [YO
# Train the model # Train the model
results = model.train( results = model.train(
data="coco8.yaml", data="coco8.yaml",
project="comet-example-yolov8-coco128", project="comet-example-yolo11-coco128",
batch=32, batch=32,
save_period=1, save_period=1,
save_json=True, save_json=True,
@ -200,7 +204,7 @@ To integrate Comet ML with Ultralytics YOLO11, follow these steps:
```python ```python
import comet_ml import comet_ml
comet_ml.login(project_name="comet-example-yolov8-coco128") comet_ml.login(project_name="comet-example-yolo11-coco128")
``` ```
4. **Train your YOLO11 model and log metrics**: 4. **Train your YOLO11 model and log metrics**:
@ -211,7 +215,7 @@ To integrate Comet ML with Ultralytics YOLO11, follow these steps:
model = YOLO("yolo11n.pt") model = YOLO("yolo11n.pt")
results = model.train( results = model.train(
data="coco8.yaml", data="coco8.yaml",
project="comet-example-yolov8-coco128", project="comet-example-yolo11-coco128",
batch=32, batch=32,
save_period=1, save_period=1,
save_json=True, save_json=True,