log_eval_adapation_sunrgbd.txt

Namespace(DUMP_DIR='./log_005/eval_imvotenet_checkpoint_48', ap_iou_thresholds='0.25,0.5', batch_size=8, checkpoint_path='./log_imvotenet_indoorimage_pretrain_4stage_revise_2Dbranch_1203/checkpoint_48.tar', cluster_sampling='seed_fps', conf_thresh=0.05, dump_dir='./log_005/eval_imvotenet_checkpoint_48', 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_imvotenet_indoorimage_pretrain_4stage_revise_2Dbranch_1203/checkpoint_48.tar (epoch: 49)

eval mean loss: 30.946202
eval mean pc_img_box_loss: 2.390197
eval mean pc_img_center_loss: 0.107306
eval mean pc_img_heading_cls_loss: 4.678100
eval mean pc_img_heading_reg_loss: 0.162296
eval mean pc_img_loss: 30.946202
eval mean pc_img_neg_ratio: 0.520023
eval mean pc_img_obj_acc: 0.586888
eval mean pc_img_objectness_loss: 0.338889
eval mean pc_img_pos_ratio: 0.284099
eval mean pc_img_sem_cls_loss: 0.900174
eval mean pc_img_size_cls_loss: 8.513082
eval mean pc_img_size_reg_loss: 0.801477
eval mean pc_img_vote_loss: 0.444961
eval toilet Average Precision: 0.766988
eval bed Average Precision: 0.653614
eval chair Average Precision: 0.322052
eval bathtub Average Precision: 0.557669
eval sofa Average Precision: 0.500148
eval dresser Average Precision: 0.002046
eval scanner Average Precision: 0.029432
eval fridge Average Precision: 0.137665
eval lamp Average Precision: 0.262031
eval desk Average Precision: 0.115372
eval table Average Precision: 0.166769
eval stand Average Precision: 0.000827
eval cabinet Average Precision: 0.004716
eval counter Average Precision: 0.000289
eval bin Average Precision: 0.292120
eval bookshelf Average Precision: 0.001055
eval pillow Average Precision: 0.157110
eval microwave Average Precision: 0.207434
eval sink Average Precision: 0.302115
eval stool Average Precision: 0.028060
eval mAP: 0.225376
eval toilet Recall: 0.867550
eval bed Recall: 0.751381
eval chair Recall: 0.534964
eval bathtub Recall: 0.730769
eval sofa Recall: 0.777778
eval dresser Recall: 0.574074
eval scanner Recall: 0.622642
eval fridge Recall: 0.459119
eval lamp Recall: 0.678679
eval desk Recall: 0.519921
eval table Recall: 0.604499
eval stand Recall: 0.594488
eval cabinet Recall: 0.419048
eval counter Recall: 0.402439
eval bin Recall: 0.685315
eval bookshelf Recall: 0.153846
eval pillow Recall: 0.513173
eval microwave Recall: 0.652632
eval sink Recall: 0.585635
eval stool Recall: 0.480769
eval AR: 0.580436
eval toilet Average Precision: 0.200441
eval bed Average Precision: 0.292194
eval chair Average Precision: 0.016887
eval bathtub Average Precision: 0.052671
eval sofa Average Precision: 0.292172
eval dresser Average Precision: 0.000157
eval scanner Average Precision: 0.005168
eval fridge Average Precision: 0.002216
eval lamp Average Precision: 0.006463
eval desk Average Precision: 0.007906
eval table Average Precision: 0.020005
eval stand Average Precision: 0.000101
eval cabinet Average Precision: 0.000239
eval counter Average Precision: 0.000003
eval bin Average Precision: 0.017207
eval bookshelf Average Precision: 0.000073
eval pillow Average Precision: 0.005791
eval microwave Average Precision: 0.025488
eval sink Average Precision: 0.002099
eval stool Average Precision: 0.000519
eval mAP: 0.047390
eval toilet Recall: 0.357616
eval bed Recall: 0.419890
eval chair Recall: 0.074642
eval bathtub Recall: 0.211538
eval sofa Recall: 0.486698
eval dresser Recall: 0.157407
eval scanner Recall: 0.188679
eval fridge Recall: 0.044025
eval lamp Recall: 0.096096
eval desk Recall: 0.090999
eval table Recall: 0.155419
eval stand Recall: 0.200787
eval cabinet Recall: 0.097619
eval counter Recall: 0.030488
eval bin Recall: 0.139860
eval bookshelf Recall: 0.013378
eval pillow Recall: 0.079038
eval microwave Recall: 0.136842
eval sink Recall: 0.033149
eval stool Recall: 0.048077
eval AR: 0.153112