From b428262db7549a59b26443b0a9575f5783536095 Mon Sep 17 00:00:00 2001
From: inter <inter@qq.com>
Date: Sun, 21 Sep 2025 20:18:48 +0800
Subject: [PATCH] Add File

---
 pcdet/models/detectors/pv_rcnn_plusplus.py | 53 ++++++++++++++++++++++
 1 file changed, 53 insertions(+)
 create mode 100644 pcdet/models/detectors/pv_rcnn_plusplus.py

diff --git a/pcdet/models/detectors/pv_rcnn_plusplus.py b/pcdet/models/detectors/pv_rcnn_plusplus.py
new file mode 100644
index 0000000..2c64e67
--- /dev/null
+++ b/pcdet/models/detectors/pv_rcnn_plusplus.py
@@ -0,0 +1,53 @@
+from .detector3d_template import Detector3DTemplate
+
+
+class PVRCNNPlusPlus(Detector3DTemplate):
+    def __init__(self, model_cfg, num_class, dataset):
+        super().__init__(model_cfg=model_cfg, num_class=num_class, dataset=dataset)
+        self.module_list = self.build_networks()
+
+    def forward(self, batch_dict):
+        batch_dict = self.vfe(batch_dict)
+        batch_dict = self.backbone_3d(batch_dict)
+        batch_dict = self.map_to_bev_module(batch_dict)
+        batch_dict = self.backbone_2d(batch_dict)
+        batch_dict = self.dense_head(batch_dict)
+
+        batch_dict = self.roi_head.proposal_layer(
+            batch_dict, nms_config=self.roi_head.model_cfg.NMS_CONFIG['TRAIN' if self.training else 'TEST']
+        )
+        if self.training:
+            targets_dict = self.roi_head.assign_targets(batch_dict)
+            batch_dict['rois'] = targets_dict['rois']
+            batch_dict['roi_labels'] = targets_dict['roi_labels']
+            batch_dict['roi_targets_dict'] = targets_dict
+            num_rois_per_scene = targets_dict['rois'].shape[1]
+            if 'roi_valid_num' in batch_dict:
+                batch_dict['roi_valid_num'] = [num_rois_per_scene for _ in range(batch_dict['batch_size'])]
+
+        batch_dict = self.pfe(batch_dict)
+        batch_dict = self.point_head(batch_dict)
+        batch_dict = self.roi_head(batch_dict)
+
+        if self.training:
+            loss, tb_dict, disp_dict = self.get_training_loss()
+
+            ret_dict = {
+                'loss': loss
+            }
+            return ret_dict, tb_dict, disp_dict
+        else:
+            pred_dicts, recall_dicts = self.post_processing(batch_dict)
+            return pred_dicts, recall_dicts
+
+    def get_training_loss(self):
+        disp_dict = {}
+        loss_rpn, tb_dict = self.dense_head.get_loss()
+        if self.point_head is not None:
+            loss_point, tb_dict = self.point_head.get_loss(tb_dict)
+        else:
+            loss_point = 0
+        loss_rcnn, tb_dict = self.roi_head.get_loss(tb_dict)
+
+        loss = loss_rpn + loss_point + loss_rcnn
+        return loss, tb_dict, disp_dict