Add a new object template to the list of templates. Args: image: the image to be used as a template bbox: th

:param boxes1: (N, 4) (x1,y1,x2,y2) :param boxes2: (N, 4) (x1,y1,x2,y2) :return:

Compute the IoU given predicted and ground truth windows.

Compute average precision (detection task) between ground truth and predictions data frames. If multiple predictions occurs for the same predi

Compute average precision (detection task) between ground truth and predictions data frames. If multiple predictions occurs for the same predi

Compute success %, i.e., the % of cases where there is sufficient overlap between ground truth and predictions data frames. If multiple prediction

Compute % frames from the ground truth that were accurately recovered by the predictions. If multiple predictions occurs for the same predicte

Convert the Ego4D dataset for VSLNet.

Do a cycle of training or validation.

x - (N, F) numpy array y - (1, F) numpy array

Evaluates a prediction file. For the detection task we measure the interpolated mean average precision to measure the performance of a

Evaluates a prediction file. For the detection task we measure the interpolated average precision to measure the performance of a meth

Evaluates a prediction file. For the detection task we measure the interpolated average precision to measure the performance of a meth

Evaluates a prediction file. For the detection task we measure the interpolated average precision to measure the performance of a meth

Evaluates a prediction file. For the detection task we measure the interpolated mean average precision to measure the performance of a

Evalutes the performances.

Extracts clips from a video Save path format: {save_root}/{clip_uid}.mp4 Args: video_path - path to video clip_data - a

Given a visual crop and frames from a clip, retrieve the bounding box proposal from each frame that is most similar to the visual crop.

Extracts frame numbers corresponding to the VQ annotation for a given clip Args: video_md - a dictionary of video metadata c

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

seq_dict: sequence dict of both the search region and the template (concatenated)