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Apply new Ruff actions to Python codeblocks (#13783)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Glenn Jocher 2024-06-18 20:51:37 +02:00 • committed by GitHub
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27
docs/en/guides/isolating-segmentation-objects.md
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@ -14,20 +14,7 @@ After performing the [Segment Task](../tasks/segment.md), it's sometimes desirab
## Recipe Walk Through
1. Begin with the necessary imports
```python
from pathlib import Path
import cv2
import numpy as np
from ultralytics import YOLO
```
???+ tip "Ultralytics Install"
See the Ultralytics [Quickstart](../quickstart.md/#install-ultralytics) Installation section for a quick walkthrough on installing the required libraries.
1. See the [Ultralytics Quickstart Installation section](../quickstart.md/#install-ultralytics) for a quick walkthrough on installing the required libraries.
***
@ -61,6 +48,10 @@ After performing the [Segment Task](../tasks/segment.md), it's sometimes desirab
3. Now iterate over the results and the contours. For workflows that want to save an image to file, the source image `base-name` and the detection `class-label` are retrieved for later use (optional).
```{ .py .annotate }
from pathlib import Path
import numpy as np
# (2) Iterate detection results (helpful for multiple images)
for r in res:
img = np.copy(r.orig_img)
@ -86,6 +77,8 @@ After performing the [Segment Task](../tasks/segment.md), it's sometimes desirab
![Binary Mask Image](https://github.com/ultralytics/ultralytics/assets/62214284/59bce684-fdda-4b17-8104-0b4b51149aca){ width="240", align="right" }
```{ .py .annotate }
import cv2
# Create binary mask
b_mask = np.zeros(img.shape[:2], np.uint8)
@ -178,12 +171,11 @@ After performing the [Segment Task](../tasks/segment.md), it's sometimes desirab
Additional steps required to crop image to only include object region.
![Example Crop Isolated Object Image Black Background](https://github.com/ultralytics/ultralytics/assets/62214284/103dbf90-c169-4f77-b791-76cdf09c6f22){ align="right" }
``` { .py .annotate }
```{ .py .annotate }
# (1) Bounding box coordinates
x1, y1, x2, y2 = c.boxes.xyxy.cpu().numpy().squeeze().astype(np.int32)
# Crop image to object region
iso_crop = isolated[y1:y2, x1:x2]
```
1. For more information on bounding box results, see [Boxes Section from Predict Mode](../modes/predict.md/#boxes)
@ -225,12 +217,11 @@ After performing the [Segment Task](../tasks/segment.md), it's sometimes desirab
Additional steps required to crop image to only include object region.
![Example Crop Isolated Object Image No Background](https://github.com/ultralytics/ultralytics/assets/62214284/5910244f-d1e1-44af-af7f-6dea4c688da8){ align="right" }
``` { .py .annotate }
```{ .py .annotate }
# (1) Bounding box coordinates
x1, y1, x2, y2 = c.boxes.xyxy.cpu().numpy().squeeze().astype(np.int32)
# Crop image to object region
iso_crop = isolated[y1:y2, x1:x2]
```
1. For more information on bounding box results, see [Boxes Section from Predict Mode](../modes/predict.md/#boxes)