Update src/yolo/predict_pose.py
Browse files- src/yolo/predict_pose.py +2 -2
src/yolo/predict_pose.py
CHANGED
|
@@ -16,14 +16,14 @@ def predict_pose(
|
|
| 16 |
model_name: str,
|
| 17 |
) -> Image.Image:
|
| 18 |
"""
|
| 19 |
-
Predicts objects in an image using a
|
| 20 |
|
| 21 |
Args:
|
| 22 |
- img (str or numpy.ndarray): The input image or path to the image file.
|
| 23 |
- conf_threshold (float): The confidence threshold for object detection.
|
| 24 |
- iou_threshold (float): The Intersection Over Union (IOU) threshold for non-max suppression.
|
| 25 |
- max_detections (int): The maximum number of detections allowed.
|
| 26 |
-
- model_name (str): The name or path of the
|
| 27 |
|
| 28 |
Returns:
|
| 29 |
PIL.Image.Image: The image with predicted objects plotted on it.
|
|
|
|
| 16 |
model_name: str,
|
| 17 |
) -> Image.Image:
|
| 18 |
"""
|
| 19 |
+
Predicts objects in an image using a YOLO model with adjustable confidence and IOU thresholds.
|
| 20 |
|
| 21 |
Args:
|
| 22 |
- img (str or numpy.ndarray): The input image or path to the image file.
|
| 23 |
- conf_threshold (float): The confidence threshold for object detection.
|
| 24 |
- iou_threshold (float): The Intersection Over Union (IOU) threshold for non-max suppression.
|
| 25 |
- max_detections (int): The maximum number of detections allowed.
|
| 26 |
+
- model_name (str): The name or path of the YOLO model to be used for prediction.
|
| 27 |
|
| 28 |
Returns:
|
| 29 |
PIL.Image.Image: The image with predicted objects plotted on it.
|