Class IplImage

resources/oidscripts/oidtypes/opencv.py:138–180

Implementation for inspecting OpenCV IplImage structs

class IplImage(interface.TypeInspectorInterface):
    """
    Implementation for inspecting OpenCV IplImage structs
    """

    types = {8: symbols.OID_TYPES_UINT8, 0x80000008: symbols.OID_TYPES_UINT8, 
             16: symbols.OID_TYPES_UINT16, 0x80000010: symbols.OID_TYPES_INT16,
             32: symbols.OID_TYPES_FLOAT32,
             64: symbols.OID_TYPES_FLOAT64}

    def get_buffer_metadata(self, obj_name, picked_obj, debugger_bridge):
        buffer = debugger_bridge.get_casted_pointer('char', picked_obj['imageData'])
        if buffer == 0x0:
            raise RuntimeError('Received null buffer!')

        width = int(picked_obj['width'])
        height = int(picked_obj['height'])
        channels = int(picked_obj['nChannels'])
        depth = int(picked_obj['depth'])
        row_stride = int(int(picked_obj['widthStep']) / depth * 8)

        if channels >= 3:
            pixel_layout = 'bgra'
        else:
            pixel_layout = 'rgba'

        return {
            'display_name': f'{obj_name} ({picked_obj.type})',
            'pointer': buffer,
            'width': width,
            'height': height,
            'channels': channels,
            'type': self.types[depth],
            'row_stride': row_stride,
            'pixel_layout': pixel_layout,
            'transpose_buffer': False
        }

    def is_symbol_observable(self, symbol, symbol_name):
        symbol_type = str(symbol.type)
        type_regex = r'(const\s+)?IplImage(\s+?[*&])?'
        result = re.match(type_regex, symbol_type) is not None
        return result