add yolo v10 and modify pipeline

ultralytics/models/yolov10/val.py

@@ -0,0 +1,24 @@
+from ultralytics.models.yolo.detect import DetectionValidator
+from ultralytics.utils import ops
+import torch
+
+class YOLOv10DetectionValidator(DetectionValidator):
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        self.args.save_json |= self.is_coco
+
+    def postprocess(self, preds):
+        if isinstance(preds, dict):
+            preds = preds["one2one"]
+
+        if isinstance(preds, (list, tuple)):
+            preds = preds[0]
+        
+        # Acknowledgement: Thanks to sanha9999 in #190 and #181!
+        if preds.shape[-1] == 6:
+            return preds
+        else:
+            preds = preds.transpose(-1, -2)
+            boxes, scores, labels = ops.v10postprocess(preds, self.args.max_det, self.nc)
+            bboxes = ops.xywh2xyxy(boxes)
+            return torch.cat([bboxes, scores.unsqueeze(-1), labels.unsqueeze(-1)], dim=-1)