Query data object list according to id collection @param ids id collection @param isQueryDeletedData Whether to query to delete data @

* load scene data

Merge the preprocessed features from different cavs to the same dictionary. Parameters ---------- processed_feature_list : list

* complete handler

Remove url parameter @param fileUrl File url @return File url

Get the file information and set the file information to the data list @param dataInfoBOList Data collection

* @description: File Upload

Validating entity classes

Transform coordinates from world reference to sensor reference. Parameters ---------- cords : np.ndarray Coordinates under w

This function implements iterative closest point algorithm based on Besl, P.J. & McKay, N.D. 1992, 'A Method for Registration of 3-D Sh

:param mlp: list of int, spec of the pointnet before the global max_pool :param npoint: int, number of features :param radius

Only real arguments are: dim: embedding size sigma: scale for initializing embedding The rest of the arguments are

* Sums the passed percentage to the R, G or B of a HEX color * @param {string} color The color to change * @param {number} amount The amount to chan

Given the raw point cloud, augment by flipping and rotation. Parameters ---------- lidar_np : np.ndarray

Convert the torch tensor bounding box to o3d lineset for visualization. Parameters ---------- bbx_corner : torch.Tensor shap

Calculate the average precision and recall, and save them into a txt. Parameters ---------- result_stat : dict A dictionary

Encode the single-channel intensity to 3 channels rgb color. Parameters ---------- intensity : np.ndarray Lidar intensity, s

1x1 convolution

3x3 convolution with padding

Create bucket @param bucketName Bucket name