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Functions1,142 in github.com/EGO4D/episodic-memory

Methodtrain_epoch
Do one epoch for each loader.
EgoTracks/tools/trainers/starkst_trainer.py:178
Functiontrain_main
(args)
EgoTracks/tools/train_net.py:89
Methodtransform_att
2020.12.24 Added to deal with attention masks
EgoTracks/tracking/dataset/transforms.py:187
Methodtransform_att
(self, att)
EgoTracks/tracking/dataset/transforms.py:211
Methodtransform_att
(self, att, brightness_factor)
EgoTracks/tracking/dataset/transforms.py:249
Methodtransform_att
(self, att, do_flip)
EgoTracks/tracking/dataset/transforms.py:333
Methodtransform_bbox
Assumes [x, y, w, h]
EgoTracks/tracking/dataset/transforms.py:159
Functiontransform_box_to_crop
Transform the box co-ordinates from the original image co-ordinates to the co-ordinates of the cropped image args: box - the box for which
EgoTracks/tracking/dataset/processing/processing_utils.py:170
Methodtransform_coords
(self, coords, image_shape, do_flip)
EgoTracks/tracking/dataset/transforms.py:319
Methodtransform_coords
we should use 1 rather than image_shape
EgoTracks/tracking/dataset/transforms.py:349
Methodtransform_image
Must be deterministic
EgoTracks/tracking/dataset/transforms.py:151
Methodtransform_image
(self, image)
EgoTracks/tracking/dataset/transforms.py:195
Methodtransform_image
(self, image, brightness_factor)
EgoTracks/tracking/dataset/transforms.py:233
Methodtransform_image
(self, image)
EgoTracks/tracking/dataset/transforms.py:267
Methodtransform_image
(self, image, do_grayscale)
EgoTracks/tracking/dataset/transforms.py:282
Methodtransform_image
(self, image)
EgoTracks/tracking/dataset/transforms.py:295
Methodtransform_image
(self, image, do_flip)
EgoTracks/tracking/dataset/transforms.py:312
Methodtransform_mask
Must be deterministic
EgoTracks/tracking/dataset/transforms.py:183
Methodtransform_mask
(self, mask, brightness_factor)
EgoTracks/tracking/dataset/transforms.py:243
Methodtransform_mask
(self, mask, do_flip)
EgoTracks/tracking/dataset/transforms.py:326
Methodtransfrom_mask
(self, mask)
EgoTracks/tracking/dataset/transforms.py:207
Functiontriangulate_with_track_feat
(inputs)
VQ3D/camera_pose_estimation/sfm_api_wsuperglue.py:266
Functiontrivial_batch_collator
A batch collator that does nothing.
EgoTracks/tools/eval_datasets/eval_ego4d_lt_tracking.py:28
Methodunroll
(self)
EgoTracks/tracking/utils/tensor.py:194
Functionupdate_config_from_file
(filename)
EgoTracks/tracking/models/stark_tracker/config/stark_st2/config.py:301
Methodupdate_ip_camera
(self)
VQ3D/camera_pose_estimation/SuperGlueMatching/models/utils.py:220
Methodupdate_template
Update an attribute of the TemplateImage object with the given value. For example, `update_template("features", value)` means `self.
EgoTracks/tracking/models/template.py:45
Methodupdate_tracker
(self, res)
EgoTracks/tracking/models/multiple_object_tracker.py:25
Methodupdate_tracker
This function is used to update tracking information as the model runs through the video. Typical updates can be: update the local tr
EgoTracks/tracking/models/tracker.py:220
Methodupdate_tracker
(self, results)
EgoTracks/tracking/models/stark_tracker/stark_tracker.py:393
Functionvideo_to_clip_fn
(inputs)
VQ2D/convert_videos_to_clips.py:134
Functionvideo_to_image_fn
(inputs)
VQ2D/convert_videos_to_images.py:107
Functionvisual_query_dataset_function
()
VQ2D/vq2d/baselines/dataset.py:31
Functionvisualize_bbox
(frames: List, bboxes: List, texts: List = None)
EgoTracks/tracking/utils/utils.py:23
Methodviz_particles
(self, observed)
VQ2D/vq2d/tracking/pfilter.py:481
Methodvolume
(self)
VQ3D/annotation_API/API/bounding_box.py:39
Functionwide_resnet101_2
r"""Wide ResNet-101-2 model from `"Wide Residual Networks" <https://arxiv.org/pdf/1605.07146.pdf>`_ The model is the same as ResNet except for
EgoTracks/tracking/models/stark_tracker/resnet.py:304
Functionwide_resnet50_2
r"""Wide ResNet-50-2 model from `"Wide Residual Networks" <https://arxiv.org/pdf/1605.07146.pdf>`_ The model is the same as ResNet except for
EgoTracks/tracking/models/stark_tracker/resnet.py:287
Methodwork
(self, task_queue, results_queue)
VQ2D/extract_vq_detection_scores.py:175
Methodwork
(self, task_queue, results_queue)
VQ2D/perform_vq_inference.py:258
Functionworker
( worker_data, vfeat_lens, word_dict, char_dict, max_pos_len,
NLQ/VSLNet/utils/data_gen.py:155
Functionwrapper_segment_iou
Compute intersection over union btw segments Parameters ---------- target_segments : ndarray 2-dim array in format [m x 2:=[init,
MQ/Evaluation/utils.py:53
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