Detection

detection_plain.yaml
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# Basic object detection 
# ----------------------
# Uses thresholding for segmentation. Contains optional morphology 
# operations to remove fine structures (see 
# https://docs.opencv.org/master/db/df6/tutorial_erosion_dilatation.html 
# for details), as well as an optional contour-editing step (clean up 
# detected contours and detect again), and default visualization and 
# export steps. Measure shape and texture features (optional).

template_locked: true  # prevents accidental overwrite - removed after loading
    
processing_steps:
    - preprocessing:
        - blur:
            kernel_size: 5
    - segmentation:
        - threshold:
            method: binary
            value: 127
        # - morphology:
            # operation: open
            # shape: cross
            # kernel_size: 5
            # iterations: 3
        # - morphology:
            # operation: close
            # shape: ellipse
            # kernel_size: 5
            # iterations: 3
        - detect_contour:
            min_diameter: 0
            min_area: 0
        # - edit_contour
        # - detect_contour:
            # min_diameter: 0
            # min_area: 0
    # - measurement:
        # - compute_shape_features
        # - compute_texture_features
    - visualization:
        - draw_contour
    - export:
        - save_canvas
        - save_annotation:
            overwrite: true
detection_mask.yaml
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# Object detection with masking
# -----------------------------
# Uses thresholding for segmentation, with an initial masking step 
# to remove unwanted areas  ("include: true" to ONLY include specific
# areas or "include: false" to EXCLUDE specific areas. Also contains 
# optional morphology operations to remove fine structures (see 
# https://docs.opencv.org/master/db/df6/tutorial_erosion_dilatation.html 
# for details), as well as an optional contour-editing step (clean up 
# detected contours and detect again), and default visualization and 
# export steps. Measure shape and texture features (optional).

template_locked: true  # prevents accidental overwrite - removed after loading

processing_steps:
    - preprocessing:
        - blur:
            kernel_size: 5
        - create_mask:
            tool: rectangle
            include: true 
    - segmentation:
        - threshold:
            method: binary
            value: 127
        # - morphology:
            # operation: open
            # shape: cross
            # kernel_size: 5
            # iterations: 3
        # - morphology:
            # operation: close
            # shape: ellipse
            # kernel_size: 5
            # iterations: 3
        - detect_contour:
            min_diameter: 0
            min_area: 0
        # - edit_contour
        # - detect_contour:
            # min_diameter: 0
            # min_area: 0
    # - measurement:
        # - compute_shape_features
        # - compute_texture_features
    - visualization:
        - draw_contour
        - draw_mask
    - export:
        - save_canvas
        - save_annotation:
            overwrite: true
detection_ref.yaml
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# Object detection with masking and reference detection
# -----------------------------------------------------
# Uses thresholding for segmentation. If a template 
# for a reference card has been created on the project level, 
# "detect_reference" will attempt to find it in the current image, 
# measure the current px-ratio, and exclude it detection. Also contains 
# optional morphology operations to remove fine structures (see 
# https://docs.opencv.org/master/db/df6/tutorial_erosion_dilatation.html 
# for details), as well as an optional contour-editing step (clean up 
# detected contours and detect again), and default visualization and 
# export steps. Measure shape and texture features (optional).

template_locked: true  # prevents accidental overwrite - removed after loading

processing_steps:
    - preprocessing:
        - blur:
            kernel_size: 5
        - detect_reference
    - segmentation:
        - threshold:
            method: binary
            value: 127
        # - morphology:
            # operation: open
            # shape: cross
            # kernel_size: 5
            # iterations: 3
        # - morphology:
            # operation: close
            # shape: ellipse
            # kernel_size: 5
            # iterations: 3
        - detect_contour:
            min_diameter: 0
            min_area: 0
        # - edit_contour
        # - detect_contour:
            # min_diameter: 0
            # min_area: 0
    # - measurement:
        # - compute_shape_features
        # - compute_texture_features
    - visualization:
        - draw_contour
        - draw_reference:
            label: true
    - export:
        - save_canvas
        - save_annotation:
            overwrite: true
detection_mask_ref.yaml
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# Object detection with masking and reference detection
# -----------------------------------------------------
# Uses thresholding for segmentation, with an initial masking step 
# to remove unwanted areas  ("include: true" to ONLY include specific
# areas or "include: false" to EXCLUDE specific areas. If a template 
# for a reference card has been created on the project level, 
# "detect_reference" will attempt to find it in the current image, 
# measure the current px-ratio, and exclude it detection. Also contains 
# optional morphology operations to remove fine structures (see 
# https://docs.opencv.org/master/db/df6/tutorial_erosion_dilatation.html 
# for details), as well as an optional contour-editing step (clean up 
# detected contours and detect again), and default visualization and 
# export steps. Measure shape and texture features (optional).

template_locked: true  # prevents accidental overwrite - removed after loading

processing_steps:
    - preprocessing:
        - blur:
            kernel_size: 5
        - create_mask:
            tool: rectangle
            include: true 
        - detect_reference
    - segmentation:
        - threshold:
            method: binary
            value: 127
        # - morphology:
            # operation: open
            # shape: cross
            # kernel_size: 5
            # iterations: 3
        # - morphology:
            # operation: close
            # shape: ellipse
            # kernel_size: 5
            # iterations: 3
        - detect_contour:
            min_diameter: 0
            min_area: 0
        # - edit_contour
        # - detect_contour:
            # min_diameter: 0
            # min_area: 0
    # - measurement:
        # - compute_shape_features
        # - compute_texture_features
    - visualization:
        - draw_contour
        - draw_mask
        - draw_reference:
            label: true
    - export:
        - save_canvas
        - save_annotation:
            overwrite: true