()
return {
        'IOU_CONSTRAINT': 0.5,
        'AREA_PRECISION_CONSTRAINT': 0.5,
        'GT_SAMPLE_NAME_2_ID': 'gt_img_([0-9]+).txt',
        'DET_SAMPLE_NAME_2_ID': 'res_img_([0-9]+).txt',
        'LTRB': False,  # LTRB:2points(left,top,right,bottom) or 4 points(x1,y1,x2,y2,x3,y3,x4,y4)
        'CRLF': False,  # Lines are delimited by Windows CRLF format
        'CONFIDENCES': False,  # Detections must include confidence value. AP will be calculated
        'PER_SAMPLE_RESULTS': True  # Generate per sample results and produce data for visualization
    }
default_evaluation_params: Default parameters to use for the validation and evaluation.
default_evaluation_params: Default parameters to use for the validation and evaluation.
default_evaluation_params : Default parameters to use for the validation and evaluation .
def default_evaluation_params():
    """
    default_evaluation_params: Default parameters to use for the validation and evaluation.
    """
    return {
        'IOU_CONSTRAINT': 0.5,
        'AREA_PRECISION_CONSTRAINT': 0.5,
        'GT_SAMPLE_NAME_2_ID': 'gt_img_([0-9]+).txt',
        'DET_SAMPLE_NAME_2_ID': 'res_img_([0-9]+).txt',
        'LTRB': False,  # LTRB:2points(left,top,right,bottom) or 4 points(x1,y1,x2,y2,x3,y3,x4,y4)
        'CRLF': False,  # Lines are delimited by Windows CRLF format
        'CONFIDENCES': False,  # Detections must include confidence value. AP will be calculated
        'PER_SAMPLE_RESULTS': True  # Generate per sample results and produce data for visualization
    }
def default_evaluation_params ( ) : return { 'IOU_CONSTRAINT' : 0.5 , 'AREA_PRECISION_CONSTRAINT' : 0.5 , 'GT_SAMPLE_NAME_2_ID' : 'gt_img_([0-9]+).txt' , 'DET_SAMPLE_NAME_2_ID' : 'res_img_([0-9]+).txt' , 'LTRB' : False , # LTRB:2points(left,top,right,bottom) or 4 points(x1,y1,x2,y2,x3,y3,x4,y4) 'CRLF' : False , # Lines are delimited by Windows CRLF format 'CONFIDENCES' : False , # Detections must include confidence value. AP will be calculated 'PER_SAMPLE_RESULTS' : True # Generate per sample results and produce data for visualization }