From 9491d6793e11688953a89ab7e4107cc35189746a Mon Sep 17 00:00:00 2001 From: inter Date: Sun, 21 Sep 2025 20:18:46 +0800 Subject: [PATCH] Add File --- pcdet/models/detectors/voxelnext.py | 44 +++++++++++++++++++++++++++++ 1 file changed, 44 insertions(+) create mode 100644 pcdet/models/detectors/voxelnext.py diff --git a/pcdet/models/detectors/voxelnext.py b/pcdet/models/detectors/voxelnext.py new file mode 100644 index 0000000..f452422 --- /dev/null +++ b/pcdet/models/detectors/voxelnext.py @@ -0,0 +1,44 @@ +from .detector3d_template import Detector3DTemplate + +class VoxelNeXt(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): + + for cur_module in self.module_list: + batch_dict = cur_module(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, tb_dict = self.dense_head.get_loss() + + return loss, tb_dict, disp_dict + + def post_processing(self, batch_dict): + post_process_cfg = self.model_cfg.POST_PROCESSING + batch_size = batch_dict['batch_size'] + final_pred_dict = batch_dict['final_box_dicts'] + recall_dict = {} + for index in range(batch_size): + pred_boxes = final_pred_dict[index]['pred_boxes'] + + recall_dict = self.generate_recall_record( + box_preds=pred_boxes, + recall_dict=recall_dict, batch_index=index, data_dict=batch_dict, + thresh_list=post_process_cfg.RECALL_THRESH_LIST + ) + + return final_pred_dict, recall_dict