ultralytics 8.0.54 TFLite export improvements and fixes (#1447)

Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Glenn Jocher 2023-03-16 15:42:44 +01:00 committed by GitHub
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30 changed files with 198 additions and 166 deletions

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@ -26,9 +26,9 @@ Use a trained YOLOv8n/YOLOv8n-seg model to run tracker on video streams.
from ultralytics import YOLO
# Load a model
model = YOLO("yolov8n.pt") # load an official detection model
model = YOLO("yolov8n-seg.pt") # load an official segmentation model
model = YOLO("path/to/best.pt") # load a custom model
model = YOLO('yolov8n.pt') # load an official detection model
model = YOLO('yolov8n-seg.pt') # load an official segmentation model
model = YOLO('path/to/best.pt') # load a custom model
# Track with the model
results = model.track(source="https://youtu.be/Zgi9g1ksQHc", show=True)
@ -60,7 +60,7 @@ to [predict page](https://docs.ultralytics.com/modes/predict/).
```python
from ultralytics import YOLO
model = YOLO("yolov8n.pt")
model = YOLO('yolov8n.pt')
results = model.track(source="https://youtu.be/Zgi9g1ksQHc", conf=0.3, iou=0.5, show=True)
```
=== "CLI"
@ -82,7 +82,7 @@ any configurations(expect the `tracker_type`) you need to.
```python
from ultralytics import YOLO
model = YOLO("yolov8n.pt")
model = YOLO('yolov8n.pt')
results = model.track(source="https://youtu.be/Zgi9g1ksQHc", tracker='custom_tracker.yaml')
```
=== "CLI"