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BoofCV is an open source Java library for real-time computer vision and robotics applications.

There is a newer version: 0.26

/*
 * Copyright (c) 2011-2014, Peter Abeles. All Rights Reserved.
 *
 * This file is part of BoofCV (http://boofcv.org).
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package boofcv.testing;

import boofcv.struct.image.ImageSingleBand;

import java.lang.reflect.Method;

/**
 * Provides common implementations of functions in CompareEquivalentFunctions.  Assumes only
 * images are modified and tests those.
 *
 * @author Peter Abeles
 */
public abstract class CompareIdenticalFunctions extends CompareEquivalentFunctions {

	protected CompareIdenticalFunctions(Class testClass, Class validationClass) {
		super(testClass, validationClass);
	}

	@Override
	protected boolean isTestMethod(Method m) {
		Class e[] = m.getParameterTypes();

		for( Class c : e ) {
			if( ImageSingleBand.class.isAssignableFrom(c))
				return true;
		}
		return false;
	}

	@Override
	protected boolean isEquivalent(Method candidate, Method evaluation) {
		if( evaluation.getName().compareTo(candidate.getName()) != 0 )
			return false;

		Class e[] = evaluation.getParameterTypes();
		Class c[] = candidate.getParameterTypes();

		if( e.length != c.length )
			return false;

		for( int i = 0; i < e.length; i++ ) {
			if( e[i] != c[i])
				return false;
		}
//		System.out.println("   "+c[1].getSimpleName()+"  "+c[2].getSimpleName());

		return true;
	}

	@Override
	protected Object[] reformatForValidation(Method m, Object[] targetParam) {
		Object[] ret = new Object[ targetParam.length ];

		for( int i = 0; i < targetParam.length; i++ ) {
			if( ImageSingleBand.class.isAssignableFrom(targetParam[i].getClass()) ) {
				ret[i] = ((ImageSingleBand)targetParam[i]).clone();
			} else {
				ret[i] = targetParam[i];
			}
		}

		return ret;
	}

	@Override
	protected void compareResults(Object targetResult, Object[] targetParam, Object validationResult, Object[] validationParam) {

		for( int i = 0; i < targetParam.length; i++ ) {
			if( !ImageSingleBand.class.isAssignableFrom(targetParam[i].getClass()) )
				continue;

			ImageSingleBand t = (ImageSingleBand)targetParam[i];
			ImageSingleBand v = (ImageSingleBand)validationParam[i];

			BoofTesting.assertEqualsRelative(v, t, 1e-4);// todo is this tolerance too big?  some operations with a slightly different ordering seem to require it
		}
	}
}