Namespace(DUMP_DIR='eval_imvotenet_best_mAP_dataset_in_0_select', ap_iou_thresholds='0.25,0.5', batch_size=8, checkpoint_path='./log_extrinsic_revised/checkpoint_best_mAP_dataset_in_0.tar', cluster_sampling='seed_fps', conf_thresh=0.05, dump_dir='eval_imvotenet_best_mAP_dataset_in_0_select', faster_eval=False, max_imvote_per_pixel=3, nms_iou=0.25, no_height=False, num_point=20000, num_target=256, per_class_proposal=True, shuffle_dataset=False, use_3d_nms=True, use_cls_nms=True, use_color=False, use_imvotenet=True, use_old_type_nms=False, use_sunrgbd_v2=False, vote_factor=1)
Loaded checkpoint ./log_extrinsic_revised/checkpoint_best_mAP_dataset_in_0.tar (epoch: 88)
2024-03-01 02:53:58.015611
eval mean loss: 91.963396
eval mean pc_img_box_loss: 8.516943
eval mean pc_img_center_loss: 0.047430
eval mean pc_img_heading_cls_loss: 1.720675
eval mean pc_img_heading_reg_loss: 0.116998
eval mean pc_img_loss: 91.963396
eval mean pc_img_neg_ratio: 0.489790
eval mean pc_img_obj_acc: 0.552111
eval mean pc_img_objectness_loss: 0.221908
eval mean pc_img_pos_ratio: 0.278178
eval mean pc_img_sem_cls_loss: 1.977741
eval mean pc_img_size_cls_loss: 18.248610
eval mean pc_img_size_reg_loss: 6.355587
eval mean pc_img_vote_loss: 0.370668
eval toilet Average Precision: 0.597332
eval bed Average Precision: 0.299219
eval chair Average Precision: 0.116894
eval sofa Average Precision: 0.238486
eval dresser Average Precision: 0.005059
eval table Average Precision: 0.073562
eval cabinet Average Precision: 0.012771
eval bookshelf Average Precision: 0.000725
eval pillow Average Precision: 0.055922
eval sink Average Precision: 0.277432
eval bathtub Average Precision: 0.431320
eval refrigerator Average Precision: 0.140428
eval desk Average Precision: 0.149090
eval night stand Average Precision: 0.001119
eval counter Average Precision: 0.002710
eval door Average Precision: 0.015406
eval curtain Average Precision: 0.005885
eval box Average Precision: 0.005382
eval lamp Average Precision: 0.093821
eval bag Average Precision: 0.006166
eval mAP: 0.126436
eval toilet Recall: 0.920863
eval bed Recall: 0.746622
eval chair Recall: 0.712756
eval sofa Recall: 0.667879
eval dresser Recall: 0.426752
eval table Recall: 0.625644
eval cabinet Recall: 0.444596
eval bookshelf Recall: 0.355705
eval pillow Recall: 0.546218
eval sink Recall: 0.607023
eval bathtub Recall: 0.763066
eval refrigerator Recall: 0.636364
eval desk Recall: 0.677639
eval night stand Recall: 0.358306
eval counter Recall: 0.306763
eval door Recall: 0.390691
eval curtain Recall: 0.358079
eval box Recall: 0.485755
eval lamp Recall: 0.472222
eval bag Recall: 0.468912
eval AR: 0.548593
eval toilet Average Precision: 0.150676
eval bed Average Precision: 0.010045
eval chair Average Precision: 0.008969
eval sofa Average Precision: 0.102504
eval dresser Average Precision: 0.000017
eval table Average Precision: 0.000775
eval cabinet Average Precision: 0.000082
eval bookshelf Average Precision: 0.000005
eval pillow Average Precision: 0.002013
eval sink Average Precision: 0.009070
eval bathtub Average Precision: 0.077489
eval refrigerator Average Precision: 0.018313
eval desk Average Precision: 0.002342
eval night stand Average Precision: 0.000022
eval counter Average Precision: 0.000011
eval door Average Precision: 0.000232
eval curtain Average Precision: 0.000935
eval box Average Precision: 0.000334
eval lamp Average Precision: 0.005704
eval bag Average Precision: 0.000558
eval mAP: 0.019505
eval toilet Recall: 0.398082
eval bed Recall: 0.116554
eval chair Recall: 0.177730
eval sofa Recall: 0.294545
eval dresser Recall: 0.031847
eval table Recall: 0.076703
eval cabinet Recall: 0.053352
eval bookshelf Recall: 0.036913
eval pillow Recall: 0.073529
eval sink Recall: 0.096990
eval bathtub Recall: 0.212544
eval refrigerator Recall: 0.174825
eval desk Recall: 0.069240
eval night stand Recall: 0.029316
eval counter Recall: 0.014493
eval door Recall: 0.054302
eval curtain Recall: 0.037118
eval box Recall: 0.079772
eval lamp Recall: 0.111111
eval bag Recall: 0.101036
eval AR: 0.112000
