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Update comet from init() to login() (#14793)

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Glenn Jocher 2024-07-30 03:35:28 +02:00 • committed by GitHub
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15
docs/en/integrations/comet.md
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@ -53,7 +53,7 @@ Then, you can initialize your Comet project. Comet will automatically detect the
```python
import comet_ml
comet_ml.init(project_name="comet-example-yolov8-coco128")
comet_ml.login(project_name="comet-example-yolov8-coco128")
```
If you are using a Google Colab notebook, the code above will prompt you to enter your API key for initialization.
@ -72,7 +72,7 @@ Before diving into the usage instructions, be sure to check out the range of [YO
# Load a model
model = YOLO("yolov8n.pt")
# train the model
# Train the model
results = model.train(
data="coco8.yaml",
project="comet-example-yolov8-coco128",
@ -200,7 +200,7 @@ To integrate Comet ML with Ultralytics YOLOv8, follow these steps:
```python
import comet_ml
comet_ml.init(project_name="comet-example-yolov8-coco128")
comet_ml.login(project_name="comet-example-yolov8-coco128")
```
4. **Train your YOLOv8 model and log metrics**:
@ -210,7 +210,12 @@ To integrate Comet ML with Ultralytics YOLOv8, follow these steps:
model = YOLO("yolov8n.pt")
results = model.train(
data="coco8.yaml", project="comet-example-yolov8-coco128", batch=32, save_period=1, save_json=True, epochs=3
data="coco8.yaml",
project="comet-example-yolov8-coco128",
batch=32,
save_period=1,
save_json=True,
epochs=3,
)
```
@ -255,7 +260,7 @@ Comet ML allows for extensive customization of its logging behavior using enviro
os.environ["COMET_EVAL_LOG_CONFUSION_MATRIX"] = "false"
```
For more customization options, refer to the [Customizing Comet ML Logging](#customizing-comet-ml-logging) section.
Refer to the [Customizing Comet ML Logging](#customizing-comet-ml-logging) section for more customization options.
### How do I view detailed metrics and visualizations of my YOLOv8 training on Comet ML?