Converter Class

The Converter class is designed to perform transformations and computations on video sequences and spatial coordinates.

__init__(self, anchor_idx, movies, SLcoords, W=64, SR=1, num_pts=None, A=0, S=0, R=0)

Initializes the Converter class with the given parameters.

• Parameters:
• anchor_idx (int or list of int): location index of the anchor frame.
• movies (numpy.ndarray): BxNxHxW B movies each containing N frames or NxHXW or a single movie containing N frames.
• SLcoords (numpy.ndarray): The coordinates of SL(Scanline) points.
• W (int, optional): The window size for clipping (default is 64).
• SR (int, optional): The stride for shifting (default is 1).
• num_pts (int, optional): The number of points to sample along the SL (default is None).
• A (int or list of int, optional): Anchor shift within in the generated clip (default is 0).
• S (int or list of int, optional): Shift values for given scanline (default is 0).
• R (int or list of int, optional): Rotation values for given scanline (default is 0).

refSL(self)

Generates reference SL (spatial line) points for the given coordinates.

• Returns:
  • numpy.ndarray: The reference SL points.

perSL(self)

Generates perturbed SL (spatial line) points for the given coordinates.

• Returns:
  • numpy.ndarray: The perturbed SL points.

coeffs(self)

Generates coefficients for the given coordinates.

• Returns:
  • numpy.ndarray: The coefficients for the given coordinates.

mcoords(self)

• Returns:
  • numpy.ndarray: The AMM coordinates.

mSLx(self)

• Gets the x-location of the scanline in the generated AMM image from the clip.

mSL(self)

• numpy.ndarray: The SL coordinates in the AMM image.

pred_bcoords(self, pred_mcoords)

• Parameters:
  • pred_mcoords (numpy.ndarray): The manipulated coordinates to predict from.
• Returns:
  • numpy.ndarray: The Predicted coordinates in B-mode.

amm(self)

• Returns:
• numpy.ndarray: The AMM image created from the clip.

animation.MoviePlayer Class

The MoviePlayer class provides functionality to play and visualize video frames using Matplotlib.

__init__(self, video_array, interval=30)

Initializes the MoviePlayer with the video array and frame interval.

• Parameters:
  • video_array (numpy.ndarray): Array of video frames.
  • interval (int, optional): Interval between frames in milliseconds (default is 30).

register(self, hooks)

Registers hooks to customize frame updates.

• Parameters:
  • hooks (function or list of functions): Functions to call during frame updates.

play(self)

Plays the video using Matplotlib's FuncAnimation.

Cone Class

The Cone class processes images or video frames to identify specific geometric features and apply transformations.

__init__(self, input_data)

Initializes the Cone with single image or movie input.

left(self, angle=0)

Finds the left segment of the cone and rotates it clockwise.

• Parameters:

  • angle (float, optional): Rotation angle in degrees (default is 0).

• Returns:

  • numpy.ndarray: Coordinates of the left segment.

right(self, angle=0)

Finds the right segment of the cone and rotates it counterclockwise.

• Parameters:

  • angle (float, optional): Rotation angle in degrees (default is 0).

• Returns:

  • numpy.ndarray: Coordinates of the right segment.

movie.read_grayscale(file_path)

Reads a grayscale image or video file and returns it as a NumPy array.

• Parameters:

  • file_path (str): Path to the image or video file.

• Returns:

  • numpy.ndarray: The grayscale image or video frames.