Check if the process runs inside a docker container.

Check if the process runs inside a docker container.

Creates kmeans-evolved anchors from training dataset Arguments: dataset: path to data.yaml, or a loaded dataset n: n

Creates kmeans-evolved anchors from training dataset Arguments: dataset: path to data.yaml, or a loaded dataset n: n

Log the dataset as W&B artifact and return the new data file with W&B links arguments: data_file (str) -- the .yaml file wit

Log the dataset as W&B artifact and return the new data file with W&B links arguments: data_file (str) -- the .yaml file wit

Draw the bounding boxes on a single image and report the result as a ClearML debug sample. arguments: image_path (PosixPath)

Log the model checkpoint as W&B artifact arguments: path (Path) -- Path of directory containing the checkpoints op

Build evaluation Table. Uses reference from validation dataset table. arguments: predn (list): list of predictions in the na

Build evaluation Table. Uses reference from validation dataset table. arguments: predn (list): list of predictions in the na

Mean AP@0.5:0.95 of all classes. Return: float.

mask1: [N, n] m1 means number of predicted objects mask2: [M, n] m2 means number of gt objects Note: n means image_w x image_h retur

Plot masks at once. Args: masks (tensor): predicted masks on cuda, shape: [n, h, w] colors (List[List[Int]]): colors f

Args: img_size (tuple): The image size. polygons (list[np.ndarray]): each polygon is [N, M], N is the number of polyg

Return a (640, 640) overlap mask.