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ultralytics 8.0.223 add YOLOv8-Ghost P2 and P6 variants (#6826)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: Burhan <62214284+Burhan-Q@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Muhammad Rizwan Munawar <chr043416@gmail.com>
Co-authored-by: Awsome <1579093407@qq.com>
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Glenn Jocher 2023-12-07 01:01:02 +01:00 • committed by GitHub
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docs/en/guides/isolating-segmentation-objects.md
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@ -24,7 +24,7 @@ After performing the [Segment Task](../tasks/segment.md), it's sometimes desirab
from ultralytics import YOLO
```
???+ tip "Ultralytics Install"
???+ tip "Ultralytics Install"
See the Ultralytics [Quickstart](../quickstart.md/#install-ultralytics) Installation section for a quick walkthrough on installing the required libraries.
@ -42,7 +42,7 @@ After performing the [Segment Task](../tasks/segment.md), it's sometimes desirab
result = model.predict()
```
??? question "No Prediction Arguments?"
??? question "No Prediction Arguments?"
Without specifying a source, the example images from the library will be used:
@ -53,7 +53,7 @@ After performing the [Segment Task](../tasks/segment.md), it's sometimes desirab
This is helpful for rapid testing with the `predict()` method.
For additional information about Segmentation Models, visit the [Segment Task](../tasks/segment.md#models) page. To learn more about `predict()` method, see [Predict Mode](../modes/predict.md) section of the Documentation.
For additional information about Segmentation Models, visit the [Segment Task](../tasks/segment.md#models) page. To learn more about `predict()` method, see [Predict Mode](../modes/predict.md) section of the Documentation.
---
@ -75,7 +75,7 @@ After performing the [Segment Task](../tasks/segment.md), it's sometimes desirab
1. To learn more about working with detection results, see [Boxes Section for Predict Mode](../modes/predict.md#boxes).
2. To learn more about `predict()` results see [Working with Results for Predict Mode](../modes/predict.md#working-with-results)
??? info "For-Loop"
??? info "For-Loop"
A single image will only iterate the first loop once. A single image with only a single detection will iterate each loop _only_ once.
@ -83,7 +83,8 @@ After performing the [Segment Task](../tasks/segment.md), it's sometimes desirab
4. Start with generating a binary mask from the source image and then draw a filled contour onto the mask. This will allow the object to be isolated from the other parts of the image. An example from `bus.jpg` for one of the detected `person` class objects is shown on the right.
![Binary Mask Image](https://github.com/ultralytics/ultralytics/assets/62214284/59bce684-fdda-4b17-8104-0b4b51149aca){ width="240", align="right" }
![Binary Mask Image](https://github.com/ultralytics/ultralytics/assets/62214284/59bce684-fdda-4b17-8104-0b4b51149aca){ width="240", align="right" }
``` { .py .annotate }
# Create binary mask
b_mask = np.zeros(img.shape[:2], np.uint8)
@ -146,9 +147,9 @@ After performing the [Segment Task](../tasks/segment.md), it's sometimes desirab
5. Next the there are 2 options for how to move forward with the image from this point and a subsequent option for each.
### Object Isolation Options
### Object Isolation Options
!!! Example ""
!!! example ""
=== "Black Background Pixels"
@ -251,7 +252,7 @@ After performing the [Segment Task](../tasks/segment.md), it's sometimes desirab
- Finally the image region for the bounding box is cropped using index slicing, where the bounds are set using the `[ymin:ymax, xmin:xmax]` coordinates of the detection bounding box.
??? question "What if I want the cropped object **including** the background?"
??? question "What if I want the cropped object **including** the background?"
This is a built in feature for the Ultralytics library. See the `save_crop` argument for [Predict Mode Inference Arguments](../modes/predict.md/#inference-arguments) for details.
@ -261,7 +262,7 @@ After performing the [Segment Task](../tasks/segment.md), it's sometimes desirab
- **NOTE:** this step is optional and can be skipped if not required for your specific use case.
??? example "Example Final Step"
??? example "Example Final Step"
```py
# Save isolated object to file