↓ 2 callersMethod_process_batch(
self,
points: np.ndarray,
im_size: Tuple[int, ...],
crop_box: List[int],
Dynam3D_VLN/ultralytics/vit/sam/modules/mask_generator.py:250
↓ 2 callersMethod_process_batch Return correct prediction matrix Arguments: detections (array[N, 6]), x1, y1, x2, y2, conf, class labels (arr
Dynam3D_VLN/ultralytics/yolo/v8/segment/val.py:131
↓ 2 callersMethod_process_batch Return correct prediction matrix Arguments: detections (array[N, 6]), x1, y1, x2, y2, conf, class labels (arr
Dynam3D_VLN/ultralytics/yolo/v8/pose/val.py:110
↓ 2 callersMethod_process_batch(
self,
points: np.ndarray,
im_size: Tuple[int, ...],
crop_box: List[int],
Dynam3D_Pretrain/ultralytics/vit/sam/modules/mask_generator.py:250
↓ 2 callersMethod_process_batch Return correct prediction matrix Arguments: detections (array[N, 6]), x1, y1, x2, y2, conf, class labels (arr
Dynam3D_Pretrain/ultralytics/yolo/v8/segment/val.py:131
↓ 2 callersMethod_process_batch Return correct prediction matrix Arguments: detections (array[N, 6]), x1, y1, x2, y2, conf, class labels (arr
Dynam3D_Pretrain/ultralytics/yolo/v8/pose/val.py:110