Calculates the yaw of the waypoint that represents the trigger volume of the traffic light

Calculate grid to LiDAR unprojection for each plane Args: pc_min: [x_min, y_min, z_min], Minimum of point cloud range (m)

:param u: (N) :param v: (N) :param depth_rect: (N) :return:

Args: keypoints: (N1 + N2 + ..., 4) bev_features: (B, C, H, W) batch_size: bev_stride:

Compute pairwise intersection areas between boxes. Args: boxes1: a numpy array with shape [N, 4] holding N boxes boxes2: a numpy

Compute pairwise intersection areas between boxes. Args: boxes1: a numpy array with shape [N, 4] holding N boxes boxes2: a numpy

Computes pairwise intersection-over-union between box collections. Args: boxes1: a numpy array with shape [N, 4] holding N boxes.

Computes pairwise intersection-over-union between box collections. Args: boxes1: a numpy array with shape [N, 4] holding N boxes.

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

:param pts_lidar: (N, 3) :return pts_img: (N, 2)

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 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

Copy `master_params` to `model_params`.