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Types & classes30 in github.com/ais-lab/d2s

↓ 9 callersClassCamera
CameraModel(model_id=0, model_name="SIMPLE_PINHOLE", num_params=3), CameraModel(model_id=1, model_name="PINHOLE", num_params=4), CameraMo
datasets/_base.py:18
↓ 7 callersClassPose
datasets/_base.py:63
↓ 4 callersClassImage_Class
datasets/_base.py:102
↓ 3 callersClassCollection_Loader
datasets/dataloader.py:8
↓ 3 callersClassPipeline
models/pipeline.py:9
↓ 2 callersClassCriterionPoint
# original implementation from https://arxiv.org/abs/2307.15250 Criterion for point only
models/util_learner.py:5
↓ 2 callersClassDataCollection
datasets/data_collection.py:14
↓ 2 callersClassDualLogger
util/logger.py:4
↓ 2 callersClassImage
util/read_write_model.py:49
↓ 2 callersClassShowLosses
runners/trainer.py:152
↓ 2 callersClassVis_Infor
Store and Merge the 3D lines output from the model (by remove line with high uncertainty) lines3D: (N, 6) points3D: (N, 3) Visualize
util/help_evaluation.py:7
↓ 1 callersClassAttentionalGNN
models/d2s.py:82
↓ 1 callersClassAttentionalPropagation
models/d2s.py:71
↓ 1 callersClassEvaluator
runners/evaluator.py:15
↓ 1 callersClassHis_Loss
runners/trainer.py:140
↓ 1 callersClassLine3D
datasets/_base.py:56
↓ 1 callersClassMultiHeadedAttention
Multi-head attention to increase model expressivitiy
models/d2s.py:53
↓ 1 callersClassOptimizer
Wrapper around torch.optim + learning rate
models/util_learner.py:194
↓ 1 callersClassPose_Estimator
util/pose_estimator.py:9
↓ 1 callersClassReproLoss
Original from: https://github.com/nianticlabs/ace Compute per-pixel reprojection loss using different configurable approaches. - tanh:
models/util_learner.py:104
↓ 1 callersClassSAVING_MAP
util/io.py:18
↓ 1 callersClassSuperPoint
SuperPoint Convolutional Detector and Descriptor SuperPoint: Self-Supervised Interest Point Detection and Description. Daniel DeTone, Tomasz
detectors/point2d/SuperPoint/superpoint.py:98
↓ 1 callersClassTrain_Log
runners/trainer.py:88
↓ 1 callersClassTrainer
runners/trainer.py:11
↓ 1 callersClassfakezero
models/util_learner.py:44
ClassBaseModel
models/base_model.py:16
ClassBase_Collection
datasets/_base.py:117
ClassD2S
models/d2s.py:13
ClassD2S
models/mlp.py:13
ClassMetaModel
models/base_model.py:5