Return stream colours capability

Return stream colours capability

get homogeneous coordinates

Import depth maps from EXR files and save them as DMAP files. Args: scene_file (str): Path to the MVS scene file. input_dir (str): Direct

Is this coordinate inside the 2D matrix, and not too close to the edges? @param border: the size of the border

! @brief return whether value is a number This function returns true if and only if the JSON value is a number. This includes both intege

return whether pointer points to the root document

/ lm_minimize (intermediate-level interface) */ /

Load depth data from an EXR file. Note: This will use the first channel in the EXR file. Args: exr_path (str): Path to the EXR file. Retu

Load depth data from an NPY file. Args: exr_path (str): Path to the NPY file. Returns: numpy.ndarray: Depth data as a NumPy array.

Load points and normals from a PLY file.

Right-multiply by another rotation matrix

In the heap, by default, we retrieve the LARGEST value, so if we need the ear with minimal dihedral angle, we must reverse the sign of the comparison.

add to iterator

! @brief add an object to an array @copydoc push_back(basic_json&&) */

! @brief comparison operator for JSON types Returns an ordering that is similar to Python: - order: null < boolean < number < object < array < string

Process an MVS scene and update EXIF data for all images. Args: mvs_path: Path to the MVS interface file images_path: Path to the dire

requested function (kernel) from module (program)

load/read module (program) from file/string and compile it

Free the memory used by a PLY file. ******************************************************************************/

revert the deleted token during the last readLine()

Sample the depth map at the given coordinates using bilinear interpolation. Args: depth_map (numpy.ndarray): The depth map. x (numpy.

Save a depth map (DMAP) file. Args: data (dict): A dictionary containing the depth map data. dmap_path (str): The path to save the DM

Estimate the scale and shift of the depth map based on the scene sparse point cloud, ussing RANSAC to find the best fit: depth_map_scaled = s

Callbacks

Settings

Splat points into a TSDF volume using sparse voxel hashing concept (dictionary). - voxel_size: size of each voxel in scene units (0 for aut

unescape "~1" to tilde and "~0" to slash (order is important!)

return directory in which afile is, None if not found. Look in PATH