Arguments: images (list[Tensor] or ImageList): images to be processed targets (list[BoxList]): ground-truth boxes pre

Args: batched_inputs: a list, batched outputs of :class:`DatasetMapper`. Each item in the list contains the input

Arguments: images (list[Tensor] or ImageList): images to be processed targets (list[BoxList]): ground-truth present i

Args: input: NCHW images rois: Bx5 boxes. First column is the index into N. The other 4 columns are xyxy.

Args: pred: Nx4 predicted bounding boxes target: Nx4 target bounding boxes weight: N loss weight for each

Args: input: NCHW images rois: Bx17 boxes. First column is the index into N. The other 16 columns are [xy]x8.

r"""Generate a square mask for the sequence. The masked positions are filled with float('-inf'). Unmasked positions are filled with float(

similar to https://github.com/pytorch/pytorch/blob/master/aten/src/ATen/Version.cpp

Returns all points, confindences and transcriptions of a file in lists. Valid line formats: xmin,ymin,xmax,ymax,[confidence],[transcription]

Returns all points, confindences and transcriptions of a file in lists. Valid line formats: xmin,ymin,xmax,ymax,[confidence],[transcription]

Resize image to the same size of a given image. Args: img (ndarray): The input image. dst_img (ndarray): The target image.

Returns an array with the contents (filtered by fileNameRegExp) of a ZIP file. The key's are the names or the file or the capturing group def

Returns an array with the entries of the ZIP file that match with the regular expression. The key's are the names or the file or the capturin

This process validates a method, evaluates it and if it succed generates a ZIP file with a JSON entry for each sample. Params: p: Diction

This process validates a method Params: default_evaluation_params_fn: points to a function that returns a dictionary with the default par

Method validate_data: validates that all files in the results folder are correct (have the correct name contents). Va

This function validates that all lines of the file calling the Line validation function for each line

This function validates that all lines of the file calling the Line validation function for each line