This structure stores a list of bezier curves as a Nx16 torch.Tensor. It will support some common methods about bezier shapes (`area`, `c

Intersetion Over Union (IoU) loss which supports three different IoU computations: * IoU * Linear IoU * gIoU

This module is used in FCOS to generate extra layers

This module is used in RetinaNet and FCOS to generate extra layers, P6 and P7 from C5 or P5 feature.

Same as :class:`DetectronCheckpointer`, but is able to convert models in AdelaiDet, such as LPF backbone.

This caller enables the default Detectron2 mapper to read an additional basis semantic label

Dataloader for Local Mask. Arguments: root (string): filepath to dataset folder. dataset (string): mask to use (eg. 'train',

r"""NaiveGroupNorm implements Group Normalization with the high-level matrix operations in PyTorch. It is a temporary solution to export GN by ONN

A predictor that runs the model asynchronously, possibly on >1 GPUs. Because rendering the visualization takes considerably amount of time,

This module implements Feature Pyramid Network. It creates pyramid features built on top of some input feature maps.

Implement FCOS (https://arxiv.org/abs/1904.01355).

This caller enables the default Detectron2 mapper to read an additional basis semantic label

Large Kernel Matters -- https://arxiv.org/abs/1703.02719

Class to calculate mean-iou using fast_hist method

Should freeze bn

To do the mask encoding of PCA. components_: (tensor), shape (n_components, n_features) if agnostic=True

Instance-aware cropping.

This module implements Feature Pyramid Network. It creates pyramid features built on top of some input feature maps.

Evaluate text proposals and recognition.

ROIPooler with option to assign level by max length. Used by top modules.

This is the same Trainer except that we rewrite the `build_train_loader`/`resume_or_load` method.

A modified version of FCOS with Bezier regression

Main class for BlendMask architectures (see https://arxiv.org/abd/1901.02446).

Main class for CondInst architectures (see https://arxiv.org/abs/2003.05664).

Deformable convolutional layer with configurable deformable groups, dilations and groups. Code is from: https://github.com/facebookr

Implement MEInst (https://arxiv.org/abs/2003.11712).

Same as :class:`detectron2.modeling.ProposalNetwork`. Uses "instances" as the return key instead of using "proposal".

Same as :class:`detectron2.modeling.ProposalNetwork`. Use one stage detector and a second stage for instance-wise prediction.

SOLOv2 model. Creates FPN backbone, instance branch for kernels and categories prediction, mask branch for unified mask features. Calcula

TextHead performs text region alignment and recognition. It is a simplified ROIHeads, only ground truth RoIs are used during trainin