Plies detection

src.processing_cores.plies_detection.correct_orientation(measured_shape, model_shape, step=10)

Corrects the measured orientation during the plies detection.

Arguments:

measured_shape (RealPly): Detected shape on frame model_shape (ModelPly): Real shape stored in the DXF step (int, optional): Correction step beginning value. Defaults to 10.

Returns:

float: Corrected angle

src.processing_cores.plies_detection.correct_position_x(measured_shape, model_shape, step=100)

Corrects the measured position on horizontal axis during the plies detection.

Arguments:

measured_shape (RealPly): Detected shape on frame model_shape (ModelPly): Real shape stored in the DXF step (int, optional): Correction step beginning value. Defaults to 100.

Returns:

float: Corrected position on horizontal axis

src.processing_cores.plies_detection.correct_position_y(measured_shape, model_shape, step=100)

Corrects the measured position on vertical axis during the plies detection.

Arguments:

measured_shape (RealPly): Detected shape on frame model_shape (ModelPly): Real shape stored in the DXF step (int, optional): Correction step beginning value. Defaults to 100.

Returns:

float: Corrected position on vertical axis

src.processing_cores.plies_detection.detect_plies(image, image_contour, dxf_manager, metro, activate_fiber_orientation=True)

Detects plies from a given Image. The function thresholds the image to be able to extract contours from the plies. It matches detected shapes and real shapes and draws it on the final image.

Args:

image (Image): Stitching image

image_contour (Image): Contour image

dxf_manager (DXF_Manager): DXF_Manager with the real shapes of plies.

metro (Metrology): Instance metrology for convertion between pixel and mm measurments.

activate_fiber_orientation (bool, optional): Whether to compute the fiber orientation angle. Defaults to True.

Returns:

list: List of detected plies

Image: Image with drawn contours of detected plies

src.processing_cores.plies_detection.e_2_precision(nb)

Computes the e2 precision on a given number.

Arguments:

nb (float): Number to be rounded

Returns:

float: Rounded number

src.processing_cores.plies_detection.matching_shape(contour, dxf_manager)

Matches shapes between contours one and one.

Arguments:

contour (Shape): Extracted shape to match dxf_manager (DXF_Manager): DXF_Manager containing the real shape to match

Returns:

ModelPly: ModelPly containig the shape and the name of the detected one.

src.processing_cores.plies_detection.plies_detection(*args)

Detects plies from a given Image. The function thresholds the image to be able to extract contours from the plies. It matches detected shapes and real shapes and draws it on the final image.

Arguments:

4 arguments:

Image: Image with plies to detect

DXF_Manager: DXF_Manager with the real shapes of plies.

Metrology: Instance metrology for convertion between pixel and mm measurments.

bool: Whether to compute the fiber orientation angle. Defaults to True.

5 arguments

Image: Thresholded Image

Image: Image with plies to detect.

DXF_Manager: DXF_Manager with the real shapes of plies.

Metrology: Instance metrology for convertion between pixel and mm measurments.

bool: Whether to compute the fiber orientation angle. Defaults to True.

Returns:

list: List of detected plies

Image: Image with drawn contours of detected plies

src.processing_cores.plies_detection.smart_difference(top, bottom, metro, compensate_movement=True)

Applies morphological operations on top to highlight plies contours.

Arguments:

top (Image): Source Image

bottom (Image): Unused for now

metro (Metrology): Instance Metrology

compensate_movement (bool, optional): Whether to compensate or not the movement, unused for now. Defaults to True.

Returns:

Image: Output Image

src.processing_cores.plies_detection.virtual_contour_to_real(contour, metro)

Extracts point from virtual contour and converts it from pixel to millimeters.

Arguments:

contour (numpy.ndarray): Array containing the points, measured in pixel, representing the shape. metro (Metrology): Instance metrology used to convert pixel to millimeter.

Returns:

numpy.ndarray: Array containing the points, measured in millimeter, representing the shape.