Compute the point Jacobian Parameters ---------- X : ndarray of shape (3,) 3D point p : ndarray of shape (7,) Ca

Multi-layer perceptron

Gets the number of templates Args: None Returns: int: the length of the templates list

Forward logic of the siam prediction branch. If `self.train_on_pred_boxes is True`, the function puts predicted boxes in the `pro

Forward logic of the siam prediction branch. If `self.train_on_pred_boxes is True`, the function puts predicted boxes in the `pro

Standard binary cross entropy loss between predictions and ground-truth boxes. Args: same as :meth: `losses()` Returns:

Standard binary cross entropy loss between predictions and ground-truth boxes. Args: same as :meth: `losses()` Returns:

Create a list of default :class:`Augmentation` from config. Now it includes resizing and flipping. Returns: list[Augmentation]

:param center: Center or np.array 4*N :return: Corner or np.array 4*N

Compute model performance on the visual query task. Includes the following metrics: * Temporal AP * SpatioTemporal AP * S

Converts an array of images from numpy to pytorch after normalization. Parameters: ----------- image: (B, H, W, 3) numpy array

Create a parser with some common arguments used by tracking. Args: epilog (str): epilog passed to ArgumentParser describing the usag

hs: output embeddings (1, B, N, C) memory: encoder embeddings (HW1+HW2, B, C)

Get a copy of the default config. Returns: a detectron2 CfgNode instance.

Take a list of functions that each draw n samples from a distribution and concatenate the result into an n, d matrix Parameters: ---------

Run tracking model on a video sequence. Args: video: either a torch Tensor that contains a sequence of images, [N, 3, H,

Initialise the filter by drawing samples from the prior. Parameters: ----------- mask : array, optional boolean m

This function is used to initilize SOT with first frame annotation Args: image: this is one image where we used to initi

Interpolated AP - VOCdevkit from VOC 2011.

Interpolated AP - VOCdevkit from VOC 2011.

Same as `torch.nn.functional.kl_div`, but returns 0 (instead of nan) for empty inputs. `flip_class` inverts the target since the positive cla

Run 'func' on one or more GPUs, specified in cfg Args: cfg (NamedTuple): configs. Details can be found in types.py init_metho

Pure Python NMS baseline.

Normalize keypoints locations based on image image_shape

Normalize, pad and batch the input images.

To reset the tracker after done running on one video. Clear any intermediate variables to get a clean setup for next video.

image_shape is the shape of the image after rotation

Most tracking models run frame by frame. This function runs a single forward of the tracking model. Args: image: this is

Extracts a square crop centered at target_bb box, of area search_area_factor^2 times target_bb area args: im - cv image target_bb

r""" Selects good frames for intrinsics parameter estimation using COLMAP. A good frame is non-blury - it has a variance of Laplacian

Returns 0 (instead of nan) for empty inputs. `flip_class` inverts the target since the positive class is 0 and the negative/background class

This function is used to update tracking information as the model runs through the video. In SOT, the most important update is to upd