Return the scale factor needed to go from current_res to target_res. The value is calculated based on the idea that we don't want to crop the inp

Return the base name of a textured mesh obtained with RealityCapture Args: source_folder (str): path to dataset (bundle file, textured

! Generates V = buffer * 10^decimal_exponent, such that M- <= V <= M+. M- and M+ must be normalized and share the same exponent -60 <= e <= -32. */

! @brief inserts element Inserts element @a val before iterator @a pos. @param[in] pos iterator before which the content will be in

integrate Gaussians to the points, we also render the image for visual comparison. Background tensor (bg_color) must be on GPU!

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

! @brief return whether type is structured This function returns true if and only if the JSON type is structured (array or object).

Use ULRV1 view and renderer.

Use ULRV2 view and renderer.

Load quad from file on disk. \param path source file. */

r"""Function that measures Learned Perceptual Image Patch Similarity (LPIPS). Arguments: x, y (torch.Tensor): the input tensors to co

Print image metadata fields for the given file path. Keyword Arguments: argv (list): commandline arguments (e.g. sys.argv[1:])

\return the camera model matrix (for camera stub rendering for instance). */

Set the current mouse position. \param mousePos the new position */

! @brief add to iterator @pre The iterator is initialized; i.e. `m_object != nullptr`. */

add to iterator

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

! @brief subtract from iterator @pre The iterator is initialized; i.e. `m_object != nullptr`. */

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

Extracts Name from (can accept node == nullptr) <ref id="Name"/>

Split the input points into seen, unseen, and forecast, according to the estimated camera pose and depth image. Args: