Index

A

accumulate() (discopat.nn_training.torch_detection_utils.coco_eval.CocoEvaluator method), [1] add_meter() (discopat.nn_training.torch_detection_utils.utils.MetricLogger method), [1] (discopat.nn_training.utils.MetricLogger method), [1] all_gather() (in module discopat.nn_training.torch_detection_utils.utils), [1] Annotation (class in discopat.core), [1] (class in discopat.core.entities.annotation), [1]

annotation_factory() (in module discopat.core.entities.annotation), [1] Array (class in discopat.core), [1] (class in discopat.core.entities.array), [1] associate_detections_to_trackers() (in module discopat.tracking), [1] avg (discopat.nn_training.torch_detection_utils.utils.SmoothedValue property), [1] (discopat.nn_training.utils.SmoothedValue property), [1]

B

batch_size (discopat.core.DataLoader property), [1] (discopat.core.entities.data.DataLoader property), [1]

Box (class in discopat.core), [1] (class in discopat.core.entities.annotation), [1] build() (discopat.nn_models.faster_rcnn.TorchNetBuilder method), [1]

C

CDModel (class in discopat.core), [1] (class in discopat.core.entities.detection), [1] CocoDetection (class in discopat.nn_training.torch_detection_utils.coco_utils), [1] COCOevalIoMean (class in discopat.nn_training.torch_detection_utils.coco_eval), [1] CocoEvaluator (class in discopat.nn_training.torch_detection_utils.coco_eval), [1] collate_fn() (in module discopat.nn_training.torch_detection_utils.utils), [1] Compose (class in discopat.nn_training.torch_detection_utils.transforms), [1] compute_ap() (in module discopat.metrics), [1] (in module discopat.nn_training.evaluation), [1] (in module discopat.nn_training.evaluation.base), [1] compute_center_distance_matrix() (in module discopat.nn_training.evaluation.matching), [1] compute_iomean() (in module discopat.metrics), [1] compute_iomean_matrix() (in module discopat.nn_training.evaluation.matching), [1] compute_iou() (in module discopat.metrics), [1] compute_iou_matrix() (in module discopat.metrics), [1] (in module discopat.nn_training.evaluation.matching), [1]

computeIoMean() (discopat.nn_training.torch_detection_utils.coco_eval.COCOevalIoMean method), [1] computeIoU() (discopat.nn_training.torch_detection_utils.coco_eval.COCOevalIoMean method), [1] ComputingDevice (class in discopat.core), [1] (class in discopat.core.value_objects), [1] convert_bbox_to_z() (in module discopat.tracking), [1] convert_coco_poly_to_mask() (in module discopat.nn_training.torch_detection_utils.coco_utils), [1] convert_to_coco_api() (in module discopat.nn_training.torch_detection_utils.coco_utils), [1] convert_to_xywh() (in module discopat.nn_training.torch_detection_utils.coco_eval), [1] convert_x_to_bbox() (in module discopat.tracking), [1] ConvertCocoPolysToMask (class in discopat.nn_training.torch_detection_utils.coco_utils), [1] count (discopat.tracking.KalmanBoxTracker attribute), [1] cpu (discopat.core.ComputingDevice attribute), [1] (discopat.core.value_objects.ComputingDevice attribute), [1] create_common_coco_eval() (in module discopat.nn_training.torch_detection_utils.coco_eval), [1]

D

data_source (discopat.repositories.local.LocalRepository attribute), [1] (discopat.repositories.osf.OSFRepository attribute), [1] (discopat.repositories.repository.Repository attribute), [1] DataLoader (class in discopat.core), [1] (class in discopat.core.entities.data), [1] Dataset (class in discopat.core), [1] (class in discopat.core.entities.data), [1] dataset (discopat.core.DataLoader property), [1] (discopat.core.entities.data.DataLoader property), [1] DataSource (class in discopat.core), [1] (class in discopat.core.value_objects), [1] discopat module, [1] discopat.basics module, [1] discopat.cdl module, [1] discopat.core module, [1] discopat.core.entities module, [1] discopat.core.entities.annotation module, [1] discopat.core.entities.array module, [1] discopat.core.entities.data module, [1] discopat.core.entities.detection module, [1] discopat.core.entities.frame module, [1] discopat.core.entities.metadata module, [1] discopat.core.entities.movie module, [1] discopat.core.entities.tracking module, [1] discopat.core.value_objects module, [1] discopat.datasets module, [1] discopat.datasets.torch module, [1] discopat.display module, [1] discopat.manual_annotations module, [1] discopat.manual_annotations.cvat module, [1] discopat.manual_annotations.operations module, [1] discopat.manual_annotations.yolo module, [1]

discopat.metrics module, [1] discopat.nn_models module, [1] discopat.nn_models.faster_rcnn module, [1] discopat.nn_training module, [1] discopat.nn_training.evaluation module, [1] discopat.nn_training.evaluation.base module, [1] discopat.nn_training.evaluation.matching module, [1] discopat.nn_training.nn_trainer module, [1] discopat.nn_training.torch module, [1] discopat.nn_training.torch_detection_utils module, [1] discopat.nn_training.torch_detection_utils.coco_eval module, [1] discopat.nn_training.torch_detection_utils.coco_utils module, [1] discopat.nn_training.torch_detection_utils.engine module, [1] discopat.nn_training.torch_detection_utils.transforms module, [1] discopat.nn_training.torch_detection_utils.utils module, [1] discopat.nn_training.utils module, [1] discopat.repositories module, [1] discopat.repositories.factory module, [1] discopat.repositories.hdf5 module, [1] discopat.repositories.local module, [1] discopat.repositories.mot module, [1] discopat.repositories.osf module, [1] discopat.repositories.png module, [1] discopat.repositories.repository module, [1] discopat.tokam module, [1] discopat.tracking module, [1] discopat.utils module, [1]

E

evaluate() (in module discopat.nn_training.evaluation), [1] (in module discopat.nn_training.evaluation.base), [1] (in module discopat.nn_training.torch_detection_utils.coco_eval), [1] (in module discopat.nn_training.torch_detection_utils.engine), [1]

F

FasterRCNNModel (class in discopat.nn_models), [1] (class in discopat.nn_models.faster_rcnn), [1] FixedSizeCrop (class in discopat.nn_training.torch_detection_utils.transforms), [1] forward() (discopat.nn_training.torch_detection_utils.transforms.FixedSizeCrop method), [1] (discopat.nn_training.torch_detection_utils.transforms.PILToTensor method), [1] (discopat.nn_training.torch_detection_utils.transforms.RandomHorizontalFlip method), [1] (discopat.nn_training.torch_detection_utils.transforms.RandomIoUCrop method), [1] (discopat.nn_training.torch_detection_utils.transforms.RandomPhotometricDistort method), [1] (discopat.nn_training.torch_detection_utils.transforms.RandomShortestSize method), [1] (discopat.nn_training.torch_detection_utils.transforms.RandomZoomOut method), [1] (discopat.nn_training.torch_detection_utils.transforms.ScaleJitter method), [1] (discopat.nn_training.torch_detection_utils.transforms.SimpleCopyPaste method), [1] (discopat.nn_training.torch_detection_utils.transforms.ToDtype method), [1] Frame (class in discopat.core), [1] (class in discopat.core.entities.frame), [1]

frame_to_pil() (in module discopat.display), [1] Framework (class in discopat.core), [1] (class in discopat.core.value_objects), [1] from_dict() (discopat.core.Box class method), [1] (discopat.core.entities.annotation.Box class method), [1] (discopat.core.entities.annotation.Keypoint class method), [1] (discopat.core.entities.detection.Model class method), [1] (discopat.core.entities.frame.Frame class method), [1] (discopat.core.entities.metadata.Metadata class method), [1] (discopat.core.entities.movie.Movie class method), [1] (discopat.core.Frame class method), [1] (discopat.core.Keypoint class method), [1] (discopat.core.Model class method), [1] (discopat.core.Movie class method), [1] (discopat.nn_models.faster_rcnn.FasterRCNNModel class method), [1] (discopat.nn_models.FasterRCNNModel class method), [1]

G

get_bounding_box() (in module discopat.manual_annotations.operations), [1] get_center_path() (in module discopat.display), [1] get_coco() (in module discopat.nn_training.torch_detection_utils.coco_utils), [1] get_coco_api_from_dataset() (in module discopat.nn_training.torch_detection_utils.coco_utils), [1] get_device() (in module discopat.utils), [1] get_image_dimensions() (discopat.manual_annotations.yolo.YoloAnnotationImporter method), [1] get_rank() (in module discopat.nn_training.torch_detection_utils.utils), [1]

get_state() (discopat.tracking.KalmanBoxTracker method), [1] get_world_size() (in module discopat.nn_training.torch_detection_utils.utils), [1] (in module discopat.nn_training.utils), [1] global_avg (discopat.nn_training.torch_detection_utils.utils.SmoothedValue property), [1] (discopat.nn_training.utils.SmoothedValue property), [1] gpu (discopat.core.ComputingDevice attribute), [1] (discopat.core.value_objects.ComputingDevice attribute), [1]

H

HDF5PotentialRepository (class in discopat.repositories.hdf5), [1]

HDF5Repository (class in discopat.repositories.hdf5), [1]

I

init_distributed_mode() (in module discopat.nn_training.torch_detection_utils.utils), [1] iou_batch() (in module discopat.tracking), [1]

is_dist_avail_and_initialized() (in module discopat.nn_training.torch_detection_utils.utils), [1] (in module discopat.nn_training.utils), [1] is_main_process() (in module discopat.nn_training.torch_detection_utils.utils), [1]

K

KalmanBoxTracker (class in discopat.tracking), [1] Keypoint (class in discopat.core), [1] (class in discopat.core.entities.annotation), [1]

keypoint_to_box() (in module discopat.manual_annotations.operations), [1]

L

linear_assignment() (in module discopat.tracking), [1] load_model() (in module discopat.tokam), [1] load_movie() (in module discopat.tokam), [1] load_set() (in module discopat.tokam), [1] local (discopat.core.DataSource attribute), [1] (discopat.core.value_objects.DataSource attribute), [1]

LocalFrameRepository (class in discopat.repositories.local), [1] LocalMovieRepository (class in discopat.repositories.local), [1] LocalNNModelRepository (class in discopat.repositories.local), [1] LocalRepository (class in discopat.repositories.local), [1] log_every() (discopat.nn_training.torch_detection_utils.utils.MetricLogger method), [1] (discopat.nn_training.utils.MetricLogger method), [1]

M

make_box_from_tensors() (discopat.nn_models.faster_rcnn.FasterRCNNModel method), [1] (discopat.nn_models.FasterRCNNModel method), [1] make_movie() (discopat.manual_annotations.yolo.YoloAnnotationImporter method), [1] (in module discopat.display), [1] make_target() (discopat.datasets.torch.TorchBoxDataset method), [1] (discopat.datasets.torch.TorchDataset method), [1] (discopat.datasets.torch.TorchKeypointDataset method), [1] make_tracks() (discopat.core.entities.tracking.Tracker method), [1] match_groundtruths_and_predictions() (in module discopat.nn_training.evaluation.matching), [1] max (discopat.nn_training.torch_detection_utils.utils.SmoothedValue property), [1] (discopat.nn_training.utils.SmoothedValue property), [1] median (discopat.nn_training.torch_detection_utils.utils.SmoothedValue property), [1] (discopat.nn_training.utils.SmoothedValue property), [1] merge() (in module discopat.nn_training.torch_detection_utils.coco_eval), [1] Metadata (class in discopat.core.entities.metadata), [1] MetricLogger (class in discopat.nn_training.torch_detection_utils.utils), [1] (class in discopat.nn_training.utils), [1] mkdir() (in module discopat.nn_training.torch_detection_utils.utils), [1] Model (class in discopat.core), [1] (class in discopat.core.entities.detection), [1] module discopat, [1] discopat.basics, [1] discopat.cdl, [1] discopat.core, [1] discopat.core.entities, [1] discopat.core.entities.annotation, [1] discopat.core.entities.array, [1] discopat.core.entities.data, [1] discopat.core.entities.detection, [1] discopat.core.entities.frame, [1] discopat.core.entities.metadata, [1] discopat.core.entities.movie, [1] discopat.core.entities.tracking, [1] discopat.core.value_objects, [1] discopat.datasets, [1] discopat.datasets.torch, [1] discopat.display, [1] discopat.manual_annotations, [1] discopat.manual_annotations.cvat, [1] discopat.manual_annotations.operations, [1] discopat.manual_annotations.yolo, [1] discopat.metrics, [1] discopat.nn_models, [1] discopat.nn_models.faster_rcnn, [1] discopat.nn_training, [1] discopat.nn_training.evaluation, [1] discopat.nn_training.evaluation.base, [1] discopat.nn_training.evaluation.matching, [1] discopat.nn_training.nn_trainer, [1] discopat.nn_training.torch, [1] discopat.nn_training.torch_detection_utils, [1] discopat.nn_training.torch_detection_utils.coco_eval, [1] discopat.nn_training.torch_detection_utils.coco_utils, [1] discopat.nn_training.torch_detection_utils.engine, [1] discopat.nn_training.torch_detection_utils.transforms, [1] discopat.nn_training.torch_detection_utils.utils, [1] discopat.nn_training.utils, [1] discopat.repositories, [1] discopat.repositories.factory, [1] discopat.repositories.hdf5, [1] discopat.repositories.local, [1] discopat.repositories.mot, [1] discopat.repositories.osf, [1] discopat.repositories.png, [1] discopat.repositories.repository, [1] discopat.tokam, [1] discopat.tracking, [1] discopat.utils, [1]

MOTRepository (class in discopat.repositories.mot), [1] Movie (class in discopat.core), [1] (class in discopat.core.entities.movie), [1]

N

NeuralNet (class in discopat.core), [1] (class in discopat.core.entities.detection), [1]

NNModel (class in discopat.core), [1] (class in discopat.core.entities.detection), [1] NNTrainer (class in discopat.nn_training.nn_trainer), [1]

O

osf (discopat.core.DataSource attribute), [1] (discopat.core.value_objects.DataSource attribute), [1]

OSFMovieRepository (class in discopat.repositories.osf), [1] OSFNNModelRepository (class in discopat.repositories.osf), [1] OSFRepository (class in discopat.repositories.osf), [1]

P

parse_args() (in module discopat.tracking), [1] parse_parameters() (discopat.nn_training.nn_trainer.NNTrainer static method), [1] path_to_frame() (discopat.manual_annotations.yolo.YoloAnnotationImporter method), [1] PILToTensor (class in discopat.nn_training.torch_detection_utils.transforms), [1] plot_annotation() (in module discopat.display), [1] plot_box() (in module discopat.display), [1] plot_frame() (in module discopat.display), [1] plot_keypoint() (in module discopat.display), [1] PNGRepository (class in discopat.repositories.png), [1] post_process() (discopat.core.entities.detection.Model method), [1] (discopat.core.Model method), [1] (discopat.nn_models.faster_rcnn.FasterRCNNModel method), [1] (discopat.nn_models.FasterRCNNModel method), [1] pre_process() (discopat.core.entities.detection.Model method), [1] (discopat.core.Model method), [1] (discopat.nn_models.faster_rcnn.FasterRCNNModel method), [1] (discopat.nn_models.FasterRCNNModel method), [1] predict() (discopat.core.entities.detection.Model method), [1] (discopat.core.entities.detection.NNModel method), [1] (discopat.core.Model method), [1] (discopat.core.NNModel method), [1] (discopat.tracking.KalmanBoxTracker method), [1]

prepare() (discopat.nn_training.torch_detection_utils.coco_eval.CocoEvaluator method), [1] prepare_for_coco_detection() (discopat.nn_training.torch_detection_utils.coco_eval.CocoEvaluator method), [1] prepare_for_coco_keypoint() (discopat.nn_training.torch_detection_utils.coco_eval.CocoEvaluator method), [1] prepare_for_coco_segmentation() (discopat.nn_training.torch_detection_utils.coco_eval.CocoEvaluator method), [1] prepare_image_tensor() (discopat.datasets.torch.TorchDataset method), [1] printable_fields() (discopat.core.Annotation class method), [1] (discopat.core.Box class method), [1] (discopat.core.entities.annotation.Annotation class method), [1] (discopat.core.entities.annotation.Box class method), [1] (discopat.core.entities.annotation.Keypoint class method), [1] (discopat.core.entities.frame.Frame class method), [1] (discopat.core.entities.metadata.Metadata class method), [1] (discopat.core.entities.movie.Movie class method), [1] (discopat.core.Frame class method), [1] (discopat.core.Keypoint class method), [1] (discopat.core.Movie class method), [1]

R

RandomHorizontalFlip (class in discopat.nn_training.torch_detection_utils.transforms), [1] RandomIoUCrop (class in discopat.nn_training.torch_detection_utils.transforms), [1] RandomPhotometricDistort (class in discopat.nn_training.torch_detection_utils.transforms), [1] RandomShortestSize (class in discopat.nn_training.torch_detection_utils.transforms), [1] RandomZoomOut (class in discopat.nn_training.torch_detection_utils.transforms), [1] read() (discopat.repositories.hdf5.HDF5PotentialRepository method), [1] (discopat.repositories.hdf5.HDF5Repository method), [1] (discopat.repositories.local.LocalFrameRepository method), [1] (discopat.repositories.local.LocalMovieRepository method), [1] (discopat.repositories.local.LocalNNModelRepository method), [1] (discopat.repositories.mot.MOTRepository method), [1] (discopat.repositories.osf.OSFMovieRepository method), [1] (discopat.repositories.osf.OSFNNModelRepository method), [1] (discopat.repositories.png.PNGRepository method), [1] (discopat.repositories.repository.Repository method), [1]

reduce_dict() (in module discopat.nn_training.torch_detection_utils.utils), [1] Repository (class in discopat.repositories.repository), [1] repository_factory() (in module discopat.repositories), [1] (in module discopat.repositories.factory), [1] rescale() (discopat.core.Annotation method), [1] (discopat.core.Box method), [1] (discopat.core.entities.annotation.Annotation method), [1] (discopat.core.entities.annotation.Box method), [1] (discopat.core.entities.annotation.Keypoint method), [1] (discopat.core.Keypoint method), [1] resize() (discopat.core.entities.frame.Frame method), [1] (discopat.core.Frame method), [1] reversed_label_map (discopat.nn_models.faster_rcnn.FasterRCNNModel property), [1] (discopat.nn_models.FasterRCNNModel property), [1]

S

save_on_master() (in module discopat.nn_training.torch_detection_utils.utils), [1] ScaleJitter (class in discopat.nn_training.torch_detection_utils.transforms), [1] set_data_dir() (discopat.repositories.png.PNGRepository method), [1] set_default_lr_scheduler() (discopat.nn_training.nn_trainer.NNTrainer method), [1] (discopat.nn_training.torch.TorchNNTrainer method), [1] set_default_optimiser() (discopat.nn_training.nn_trainer.NNTrainer method), [1] (discopat.nn_training.torch.TorchNNTrainer method), [1] set_device() (discopat.core.entities.detection.NNModel method), [1] (discopat.core.NNModel method), [1] (discopat.nn_models.faster_rcnn.FasterRCNNModel method), [1] (discopat.nn_models.FasterRCNNModel method), [1]

setup_for_distributed() (in module discopat.nn_training.torch_detection_utils.utils), [1] SimpleCopyPaste (class in discopat.nn_training.torch_detection_utils.transforms), [1] SmoothedValue (class in discopat.nn_training.torch_detection_utils.utils), [1] (class in discopat.nn_training.utils), [1] Sort (class in discopat.tracking), [1] SORTTracker (class in discopat.core.entities.tracking), [1] summarize() (discopat.nn_training.torch_detection_utils.coco_eval.CocoEvaluator method), [1] synchronize_between_processes() (discopat.nn_training.torch_detection_utils.coco_eval.CocoEvaluator method), [1] (discopat.nn_training.torch_detection_utils.utils.MetricLogger method), [1] (discopat.nn_training.torch_detection_utils.utils.SmoothedValue method), [1] (discopat.nn_training.utils.MetricLogger method), [1] (discopat.nn_training.utils.SmoothedValue method), [1]

T

to_dict() (discopat.core.Annotation method), [1] (discopat.core.entities.annotation.Annotation method), [1] (discopat.core.entities.detection.Model method), [1] (discopat.core.entities.frame.Frame method), [1] (discopat.core.entities.metadata.Metadata method), [1] (discopat.core.entities.movie.Movie method), [1] (discopat.core.Frame method), [1] (discopat.core.Model method), [1] (discopat.core.Movie method), [1] (discopat.nn_models.faster_rcnn.FasterRCNNModel method), [1] (discopat.nn_models.FasterRCNNModel method), [1] to_int() (in module discopat.basics), [1] (in module discopat.display), [1] to_np_array() (in module discopat.nn_training.evaluation.matching), [1] ToDtype (class in discopat.nn_training.torch_detection_utils.transforms), [1] torch (discopat.core.Framework attribute), [1] (discopat.core.value_objects.Framework attribute), [1]

TorchBoxDataset (class in discopat.datasets.torch), [1] TorchDataset (class in discopat.datasets.torch), [1] TorchKeypointDataset (class in discopat.datasets.torch), [1] TorchNetBuilder (class in discopat.nn_models.faster_rcnn), [1] TorchNNTrainer (class in discopat.nn_training.torch), [1] Track (class in discopat.core), [1] (class in discopat.core.entities.annotation), [1] Tracker (class in discopat.core.entities.tracking), [1] train() (discopat.nn_training.nn_trainer.NNTrainer method), [1] (discopat.nn_training.torch.TorchNNTrainer method), [1] train_one_epoch() (in module discopat.nn_training.torch_detection_utils.engine), [1] turn_keypoints_into_boxes() (in module discopat.manual_annotations.operations), [1] txt_to_box() (discopat.manual_annotations.yolo.YoloAnnotationImporter method), [1] txt_to_frame() (discopat.manual_annotations.yolo.YoloAnnotationImporter method), [1] type (discopat.core.Annotation property), [1] (discopat.core.entities.annotation.Annotation property), [1]

U

update() (discopat.nn_training.torch_detection_utils.coco_eval.CocoEvaluator method), [1] (discopat.nn_training.torch_detection_utils.utils.MetricLogger method), [1] (discopat.nn_training.torch_detection_utils.utils.SmoothedValue method), [1] (discopat.nn_training.utils.MetricLogger method), [1] (discopat.nn_training.utils.SmoothedValue method), [1] (discopat.tracking.KalmanBoxTracker method), [1] (discopat.tracking.Sort method), [1]

V

value (discopat.nn_training.torch_detection_utils.utils.SmoothedValue property), [1] (discopat.nn_training.utils.SmoothedValue property), [1]

W

write() (discopat.repositories.hdf5.HDF5PotentialRepository method), [1] (discopat.repositories.hdf5.HDF5Repository method), [1] (discopat.repositories.local.LocalFrameRepository method), [1] (discopat.repositories.local.LocalMovieRepository method), [1] (discopat.repositories.local.LocalNNModelRepository method), [1] (discopat.repositories.mot.MOTRepository method), [1] (discopat.repositories.osf.OSFRepository method), [1] (discopat.repositories.png.PNGRepository method), [1] (discopat.repositories.repository.Repository method), [1]

X

xmax (discopat.core.Box property), [1] (discopat.core.entities.annotation.Box property), [1] xmin (discopat.core.Box property), [1] (discopat.core.entities.annotation.Box property), [1]

xyxy_to_xywh() (discopat.nn_models.faster_rcnn.FasterRCNNModel static method), [1] (discopat.nn_models.FasterRCNNModel static method), [1]

Y

ymax (discopat.core.Box property), [1] (discopat.core.entities.annotation.Box property), [1]

ymin (discopat.core.Box property), [1] (discopat.core.entities.annotation.Box property), [1] YoloAnnotationImporter (class in discopat.manual_annotations.yolo), [1]