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Running
| dataset: [ '12Scenes' ] | |
| network_1: "segnet" | |
| network: "segnetvit" | |
| local_rank: 0 | |
| gpu: [ 0 ] | |
| feature: "sfd2" | |
| save_path: '/scratches/flyer_2/fx221/exp/pram' | |
| landmark_path: "/scratches/flyer_3/fx221/exp/pram/landmarks/sfd2-gml" | |
| dataset_path: "/scratches/flyer_3/fx221/dataset" | |
| config_path: 'configs/datasets' | |
| image_dim: 3 | |
| feat_dim: 128 | |
| min_inliers: 32 | |
| max_inliers: 512 | |
| random_inliers: true | |
| max_keypoints: 512 | |
| ignore_index: -1 | |
| output_dim: 1024 | |
| output_dim_: 2048 | |
| jitter_params: | |
| brightness: 0.5 | |
| contrast: 0.5 | |
| saturation: 0.25 | |
| hue: 0.15 | |
| blur: 0 | |
| scale_params: [ 0.5, 1.0 ] | |
| pre_load: false | |
| train: true | |
| inlier_th: 0.5 | |
| lr: 0.0001 | |
| min_lr: 0.00001 | |
| optimizer: "adamw" | |
| seg_loss: "cew" | |
| seg_loss_nx: "cei" | |
| cls_loss: "ce" | |
| cls_loss_: "bce" | |
| ac_fn: "relu" | |
| norm_fn: "bn" | |
| workers: 8 | |
| layers: 15 | |
| log_intervals: 50 | |
| eval_n_epoch: 10 | |
| do_eval: false | |
| use_mid_feature: true | |
| norm_desc: false | |
| with_score: false | |
| with_aug: true | |
| with_dist: true | |
| batch_size: 32 | |
| its_per_epoch: 1000 | |
| decay_rate: 0.999992 | |
| decay_iter: 60000 | |
| epochs: 500 | |
| cluster_method: 'birch' | |
| weight_path: null | |
| weight_path_1: '20230719_220620_segnet_L15_T_resnet4x_B32_K1024_relu_bn_od1024_nc193_adamw_cew_md_A_birch/segnet.499.pth' | |
| weight_path_2: '20240202_145337_segnetvit_L15_T_resnet4x_B32_K512_relu_bn_od1024_nc193_adam_cew_md_A_birch/segnetvit.499.pth' | |
| resume_path: null | |
| n_class: 193 | |
| eval_max_keypoints: 1024 | |
| localization: | |
| loc_scene_name: [ 'apt1/kitchen' ] | |
| save_path: '/scratches/flyer_2/fx221/exp/localizer/loc_results' | |
| seg_k: 20 | |
| threshold: 8 | |
| min_kpts: 128 | |
| min_matches: 4 | |
| min_inliers: 64 | |
| matching_method_: "mnn" | |
| matching_method_1: "spg" | |
| matching_method_2: "gm" | |
| matching_method: "gml" | |
| matching_method_5: "adagml" | |
| save: false | |
| show: true | |
| show_time: 1 | |
| max_vrf: 1 | |
| with_original: true | |
| with_extra: false | |
| with_compress: true | |
| semantic_matching: true | |
| do_refinement: true | |
| refinement_method_: 'matching' | |
| refinement_method: 'projection' | |
| pre_filtering_th: 0.95 | |
| covisibility_frame: 20 | |
| refinement_radius: 20 | |
| refinement_nn_ratio: 0.9 | |
| refinement_max_matches: 0 | |