xdobro23/YOLOv8-16bit
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

ultralytics 8.0.136 refactor and simplify package (#3748)

Browse Source 
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
This commit is contained in:
Laughing
2023-07-16 23:47:45 +08:00
committed by GitHub
parent 8ebe94d1e9
commit 620f3eb218
383 changed files with 4213 additions and 4646 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
docs/datasets/segment/coco.md
View File

@ -29,12 +29,12 @@ COCO-Seg is widely used for training and evaluating deep learning models in inst
## Dataset YAML
A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. In the case of the COCO-Seg dataset, the `coco.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/coco.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/coco.yaml).
A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. In the case of the COCO-Seg dataset, the `coco.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco.yaml).
!!! example "ultralytics/datasets/coco.yaml"
!!! example "ultralytics/cfg/datasets/coco.yaml"
```yaml
--8<-- "ultralytics/datasets/coco.yaml"
--8<-- "ultralytics/cfg/datasets/coco.yaml"
```
## Usage

6
docs/datasets/segment/coco8-seg.md
View File

@ -19,12 +19,12 @@ and [YOLOv8](https://github.com/ultralytics/ultralytics).
## Dataset YAML
A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. In the case of the COCO8-Seg dataset, the `coco8-seg.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/coco8-seg.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/datasets/coco8-seg.yaml).
A YAML (Yet Another Markup Language) file is used to define the dataset configuration. It contains information about the dataset's paths, classes, and other relevant information. In the case of the COCO8-Seg dataset, the `coco8-seg.yaml` file is maintained at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco8-seg.yaml](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/coco8-seg.yaml).
!!! example "ultralytics/datasets/coco8-seg.yaml"
!!! example "ultralytics/cfg/datasets/coco8-seg.yaml"
```yaml
--8<-- "ultralytics/datasets/coco8-seg.yaml"
--8<-- "ultralytics/cfg/datasets/coco8-seg.yaml"
```
## Usage

4
docs/datasets/segment/index.md
View File

@ -104,7 +104,7 @@ If you have your own dataset and would like to use it for training segmentation
You can easily convert labels from the popular COCO dataset format to the YOLO format using the following code snippet:
```python
from ultralytics.yolo.data.converter import convert_coco
from ultralytics.data.converter import convert_coco
convert_coco(labels_dir='../coco/annotations/', use_segments=True)
```
@ -122,7 +122,7 @@ Auto-annotation is an essential feature that allows you to generate a segmentati
To auto-annotate your dataset using the Ultralytics framework, you can use the `auto_annotate` function as shown below:
```python
from ultralytics.yolo.data.annotator import auto_annotate
from ultralytics.data.annotator import auto_annotate
auto_annotate(data="path/to/images", det_model="yolov8x.pt", sam_model='sam_b.pt')
```