gx

chenyc

2025-02-12 ea42ff3ebee1eeb3fb29423aa848a249441db81c

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/**
 * @license
 * Copyright 2023 Google LLC.
 * 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.
 * =============================================================================
 */
import * as tf from '../../index';
import { ALL_ENVS, describeWithFlags } from '../../jasmine_util';
import { expectArraysClose } from '../../test_util';
describeWithFlags('RGBToGrayscale', ALL_ENVS, () => {
    it('should return int32 dtype tensor for int32 dtype input', async () => {
        const rgb = tf.tensor2d([16, 24, 56, 1, 2, 9], [2, 3], 'int32');
        const grayscale = tf.image.rgbToGrayscale(rgb);
        const expected = [[25], [2]];
        const grayscaleData = await grayscale.data();
        expect(grayscale.shape).toEqual([2, 1]);
        expectArraysClose(grayscaleData, expected);
    });
    it('basic 3 rank array conversion', async () => {
        const rgb = [[[1.0, 2.0, 3.0]]];
        const grayscale = tf.image.rgbToGrayscale(rgb);
        const expected = [[[1.8149]]];
        const grayscaleData = await grayscale.data();
        expect(grayscale.shape).toEqual([1, 1, 1]);
        expectArraysClose(grayscaleData, expected);
    });
    it('basic 4 rank array conversion', async () => {
        const rgb = [[[[1.0, 2.0, 3.0], [2.0, 3.0, 4.0]]]];
        const grayscale = tf.image.rgbToGrayscale(rgb);
        const expected = [[[[1.8149], [2.8148]]]];
        const grayscaleData = await grayscale.data();
        expect(grayscale.shape).toEqual([1, 1, 2, 1]);
        expectArraysClose(grayscaleData, expected);
    });
    it('should throw an error because of input last dim is not 3', () => {
        const grayscale = tf.tensor4d([1.0, 1.0, 2.0, 2.0, 3.0, 3.0], [1, 1, 3, 2]);
        expect(() => tf.image.rgbToGrayscale(grayscale))
            .toThrowError(/last dimension of an RGB image should be size 3/);
    });
    it('should throw an error because of image\'s rank is less than 2', () => {
        const grayscale = tf.tensor1d([1, 2, 3]);
        expect(() => tf.image.rgbToGrayscale(grayscale))
            .toThrowError(/images must be at least rank 2/);
    });
});
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