Container mainly used for lists of torch tensors. Extends lists with pytorch functionality.

Container mainly used for dicts of torch tensors. Extends OrderedDict with pytorch functionality.

SuperPoint Convolutional Detector and Descriptor SuperPoint: Self-Supervised Interest Point Detection and Description. Daniel DeTone, Tomasz

List of sequences. Supports the addition operator to concatenate sequence lists.

Computes and stores the average and current value

GOT-10k dataset. Publication: GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild Lianghua Huang, X

Computes and stores the average and current value

Computes and stores the average and current value

EGO4D LTT dataset.

Define the InstanceRegistration class to hold all registered instances. The instance register will esentially be a dictionary containing all

Data loader. Combines a dataset and a sampler, and provides single- or multi-process iterators over the dataset. Note: The only differen

Very simple multi-layer perceptron (also called FFN)

A particle filter object which maintains the internal state of a population of particles, and can be updated given observations. Attributes:

The processing class used for training LittleBoy. The images are processed in the following way. First, the target bounding box is jittered by add

SuperGlue feature matching middle-end Given two sets of keypoints and locations, we determine the correspondences by: 1. Keypoint Encod

Class responsible for sampling frames from training sequences to form batches. The sampling is done in the following ways. First a dataset is sel

A callable which takes a dataset dict in Detectron2 Dataset format, and map it into a format used by the model. This is modified to load

Class to help manage printing simple timing of code execution.

ResNet backbone with frozen BatchNorm.

Corner Predictor module

Corner Predictor module (Lite version)

Ego4D VQ response track dataset.

Ego4D VQ response track dataset.

BatchNorm2d where the batch statistics and the affine parameters are fixed. Copy-paste from torchvision.misc.ops with added eps before rqsrt,

Joint encoding of visual appearance and location using MLPs

LaSOT dataset. Publication: LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking Heng Fan, Liting Lin, Fan Yang

The COCO dataset. COCO is an image dataset. Thus, we treat each image as a sequence of length 1. Publication: Microsoft COCO: Common Obje

This class assigns to each predicted "element" (e.g., a box) a ground-truth element. Each predicted element will have exactly zero or one mat

Image Matching Frontend (SuperPoint + SuperGlue)

Multi-head attention to increase model expressivitiy

An object instance with a list of TemplateImage template images. The ObjectInstance class organizes all template images for a given instance

Absolute pos embedding, learned.

No positional encoding.

This is a more standard version of the position embedding, very similar to the one used by the Attention is all you need paper, generalized t

Construct the embeddings from word, position and token_type embeddings.

' use set transformer ' Compares two image features to see if they correspond to the same object instance.

This is the base class for Transformer Tracking

This is the base class for Transformer Tracking

Class for the sequence in an evaluation.

Compares two image features to see if they correspond to the same object instance.