Methodthat appends a new component and returns new Path Args: other: _description_

Returns a new TensorDataclass with the same data but with a new shape. This should deepcopy as well. Args: shape: The ne

Move the images to the given device.

Return the mean of the embedding weights along a dim.

return iterator end (needed for range-based for)

property: format

method: setBuffer:offset:atIndex:

return iterator begin (needed for range-based for)

Write data.

Returns a new TensorDataclass with flattened batch dimensions Returns: TensorDataclass: A new TensorDataclass with the same data

@brief return the type as string @sa https://json.nlohmann.me/api/basic_json/type_name/

add a character to token_buffer

@brief create an empty value with a given type @sa https://json.nlohmann.me/api/basic_json/basic_json/

! @brief normalize x such that the significand is >= 2^(q-1) @pre x.f != 0 */

property: type

@brief return whether value is an object @sa https://json.nlohmann.me/api/basic_json/is_object/

Read data.

Calulates "center" position of frustum. Not weighted by mass. Returns: xyz positions.

@brief returns an iterator to one past the last element @sa https://json.nlohmann.me/api/basic_json/end/

return the last read token (for errors only). Will never contain EOF (an arbitrary value that is not a valid char value, often -1), because 255 may l

@brief return the type of the JSON value (explicit) @sa https://json.nlohmann.me/api/basic_json/type/

! @brief internal implementation of the serialization function This function is called by the public member function dump and organizes t

Apply a geometric transformation to a list of 3-D points. H: 3x3 or 4x4 projection matrix (typically a Homography) p: numpy/torch/tuple of c

open websocket bridge

method: dispatchThreadgroups:threadsPerThreadgroup:

forward the geonetwork

property: size

@brief returns an iterator to the first element @sa https://json.nlohmann.me/api/basic_json/begin/

Returns a new TensorDataclass broadcast to new shape. Changes to the original tensor dataclass should effect the returned tensor dataclass,

Generates rays for the given camera indices. This function will standardize the input arguments and then call the _generate_rays_from_coords

! @return a string representation of the last read byte */

method: insertDebugSignpost:

access to successor

pack and write to a binary file. :param fid: :param data: data to send, if multiple elements are sent at the same time, they should be enc

Sends a command to the viewer bridge server.

method: setComputePipelineState:atIndex:

Setup the Trainer by calling other setup functions. Args: test_mode: 'val': loads train/val datasets into memory

Return weights based on predicted densities Args: densities: Predicted densities for samples along ray Returns:

@brief return whether value is an array @sa https://json.nlohmann.me/api/basic_json/is_array/

boost::hash_combine

@brief return whether value is null @sa https://json.nlohmann.me/api/basic_json/is_null/

Move the tensors to the specified device. Args: device: The device to move the tensors to. E.g., "cuda:0" or "cpu".

save points to point cloud using open3d

method: popDebugGroup

Read and unpack the next bytes from a binary file. :param fid: :param num_bytes: Sum of combination of {2, 4, 8}, e.g. 2, 6, 16, 30, etc.

Read and unpack the next bytes from a binary file. Args: fid: Open file num_bytes: Sum of combination of {2, 4, 8}, e.g. 2, 6, 16

Read and unpack the next bytes from a binary file. :param fid: :param num_bytes: Sum of combination of {2, 4, 8}, e.g. 2, 6, 16, 30, etc.

Run a command in the terminal.

Runs a command and returns the output. Args: cmd: Command to run. verbose: If True, logs the output of the command. Returns: