Alessio Grancini
commited on
Update image_segmenter.py
Browse files- image_segmenter.py +2 -2
image_segmenter.py
CHANGED
|
@@ -40,10 +40,10 @@ class ImageSegmenter:
|
|
| 40 |
# params
|
| 41 |
objects_data = []
|
| 42 |
image = image.copy()
|
| 43 |
-
|
| 44 |
# Use the original image resolution (1512x1008) instead of default YOLO resize
|
| 45 |
# predictions = self.model.predict(image, imgsz=(1512, 1008), conf=self.confidence_threshold)
|
| 46 |
-
predictions = self.model.predict(image, imgsz=(1536, 1024), conf=self.confidence_threshold)
|
| 47 |
|
| 48 |
cls_ids = predictions[0].boxes.cls.cpu().numpy()
|
| 49 |
bounding_boxes = predictions[0].boxes.xyxy.int().cpu().numpy()
|
|
|
|
| 40 |
# params
|
| 41 |
objects_data = []
|
| 42 |
image = image.copy()
|
| 43 |
+
predictions = self.model.predict(image)
|
| 44 |
# Use the original image resolution (1512x1008) instead of default YOLO resize
|
| 45 |
# predictions = self.model.predict(image, imgsz=(1512, 1008), conf=self.confidence_threshold)
|
| 46 |
+
# predictions = self.model.predict(image, imgsz=(1536, 1024), conf=self.confidence_threshold)
|
| 47 |
|
| 48 |
cls_ids = predictions[0].boxes.cls.cpu().numpy()
|
| 49 |
bounding_boxes = predictions[0].boxes.xyxy.int().cpu().numpy()
|