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PyCharm Docs Inspect fixes (#18432)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Muhammad Rizwan Munawar 2024-12-29 23:19:05 +05:00 • committed by GitHub
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22
docs/en/help/FAQ.md
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@ -195,22 +195,22 @@ Performing inference with a trained Ultralytics YOLO model is straightforward:
1. Load the Model:
```python
from ultralytics import YOLO
```python
from ultralytics import YOLO
model = YOLO("path/to/your/model.pt")
```
model = YOLO("path/to/your/model.pt")
```
2. Run Inference:
```python
results = model("path/to/image.jpg")
```python
results = model("path/to/image.jpg")
for r in results:
print(r.boxes) # print bounding box predictions
print(r.masks) # print mask predictions
print(r.probs) # print class probabilities
```
for r in results:
print(r.boxes) # print bounding box predictions
print(r.masks) # print mask predictions
print(r.probs) # print class probabilities
```
For advanced inference techniques, including batch processing, video inference, and custom preprocessing, refer to the detailed [prediction guide](https://docs.ultralytics.com/modes/predict/).