コード例 #1
0
ファイル: hashtoimage.go プロジェクト: verisart/phash
func main() {
	image1Ptr := flag.String("i1", "", "input image 1")
	image2Ptr := flag.String("i2", "", "input image 2")
	image1OutPtr := flag.String("o1", "", "output image 1")
	image2OutPtr := flag.String("o2", "", "output image 2")

	flag.Parse()

	if *image1Ptr == "" {
		log.Fatal("Need to provide i1 flag for path to image 1")
	}

	if *image2Ptr == "" {
		log.Fatal("Need to provide i2 flag for path to image 2")
	}

	image1File, err := os.Open(*image1Ptr)
	if err != nil {
		log.Fatalf("Failed to open image %s, %v", *image1Ptr, err)
	}
	defer image1File.Close()

	image2File, err := os.Open(*image2Ptr)
	if err != nil {
		log.Fatalf("Failed to open image %s, %v", *image2Ptr, err)
	}
	defer image2File.Close()

	im1, _, err := image.Decode(image1File)
	if err != nil {
		log.Fatalf("Failed to decode image %v", err)
	}

	im2, _, err := image.Decode(image2File)
	if err != nil {
		log.Fatalf("Failed to decode image %v", err)
	}

	hash1 := phash.GreyscaleDctMatrix(im1)
	hash2 := phash.GreyscaleDctMatrix(im2)

	distance := phash.HammingDistance(hash1, hash2)

	log.Printf("Image 1 hash: %x\n", hash1)
	log.Printf("Image 2 hash: %x\n", hash2)
	log.Printf("Hamming Distance: %d", distance)

	if *image1OutPtr != "" {
		im1 := phash.HashToImage(hash1)
		out, _ := os.Create(*image1OutPtr)
		var opt jpeg.Options
		opt.Quality = 100
		_ = jpeg.Encode(out, im1, &opt) // put quality to 80%
	}

	if *image2OutPtr != "" {
		im2 := phash.HashToImage(hash2)
		out, _ := os.Create(*image2OutPtr)
		var opt jpeg.Options
		opt.Quality = 100
		_ = jpeg.Encode(out, im2, &opt) // put quality to 80%
	}
}
コード例 #2
0
ファイル: convey_test.go プロジェクト: verisart/phash
func TestDifferentImagesDoNotMatch(t *testing.T) {

	Convey("Given some cats, suns and girls are loaded", t, func() {

		catBig := getImgBag(catsDir, "cat_big.jpg", 0)
		catMedium := getImgBag(catsDir, "cat_medium.jpg", 0)
		catSmall := getImgBag(catsDir, "cat_small.jpg", 0)
		catSky := getImgBag(catsDir, "cat_sky.jpg", 0)
		catSmile := getImgBag(catsDir, "smiling.jpg", 0)
		cats := []*ImageBag{catBig, catMedium, catSmall, catSky, catSmile}

		lenaToshop := getImgBag(lenaDir, "lena_std.jpg", 0)
		lenaNkd := getImgBag(lenaDir, "l_hires.jpg", 0)
		lenaVintage := getImgBag(lenaDir, "lena.bmp", 0)
		girls := []*ImageBag{lenaToshop, lenaNkd, lenaVintage}

		sunBig := getImgBag(catsDir, "sun_big.jpg", 0)
		sunSmall := getImgBag(catsDir, "sun_small.jpg", 0)
		suns := []*ImageBag{sunBig, sunSmall}

		Convey("When DCT Hashes are computed", func() {

			catBig.ImageDigest.ComputeGreyscaleDct()
			catMedium.ImageDigest.ComputeGreyscaleDct()
			catSmall.ImageDigest.ComputeGreyscaleDct()
			catSky.ImageDigest.ComputeGreyscaleDct()
			catSmile.ImageDigest.ComputeGreyscaleDct()

			lenaToshop.ImageDigest.ComputeGreyscaleDct()
			lenaNkd.ImageDigest.ComputeGreyscaleDct()
			lenaVintage.ImageDigest.ComputeGreyscaleDct()

			sunBig.ImageDigest.ComputeGreyscaleDct()
			sunSmall.ImageDigest.ComputeGreyscaleDct()

			Convey("Then cats do not look like girls", func() {
				PairExecuteFor2ImagesList(cats, girls, func(cat, girl *ImageBag) {
					distance := phash.HammingDistance(cat.Phash, girl.Phash)
					So(distance, ShouldBeGreaterThan, Treshold)
				})
			})

			Convey("And suns do not look like cats", func() {
				PairExecuteFor2ImagesList(suns, cats, func(sun, cat *ImageBag) {
					distance := phash.HammingDistance(sun.Phash, cat.Phash)
					So(distance, ShouldBeGreaterThan, Treshold)
				})
			})

			Convey("And girls do not look like suns", func() {
				PairExecuteFor2ImagesList(girls, suns, func(girl, sun *ImageBag) {
					distance := phash.HammingDistance(sun.Phash, girl.Phash)
					So(distance, ShouldBeGreaterThan, Treshold)
				})
			})

		})

		Convey("When DCTMatrix Hashes are computed", func() {

			fmt.Println("catBig")
			catBig.ImageDigest.ComputeGreyscaleDctMatrix()
			fmt.Println("catMedium")
			catMedium.ImageDigest.ComputeGreyscaleDctMatrix()
			fmt.Println("catSmall")
			catSmall.ImageDigest.ComputeGreyscaleDctMatrix()
			fmt.Println("catSky")
			catSky.ImageDigest.ComputeGreyscaleDctMatrix()
			fmt.Println("catSmile")
			catSmile.ImageDigest.ComputeGreyscaleDctMatrix()
			fmt.Println("lenaToshop")
			lenaToshop.ImageDigest.ComputeGreyscaleDctMatrix()
			fmt.Println("lenankd")
			lenaNkd.ImageDigest.ComputeGreyscaleDctMatrix()
			fmt.Println("lenavintage")
			lenaVintage.ImageDigest.ComputeGreyscaleDctMatrix()
			fmt.Println("sunbig")
			sunBig.ImageDigest.ComputeGreyscaleDctMatrix()
			fmt.Println("sunsmall")
			sunSmall.ImageDigest.ComputeGreyscaleDctMatrix()

			Convey("Then cats do not look like girls", func() {
				PairExecuteFor2ImagesList(cats, girls, func(cat, girl *ImageBag) {
					distance := hammingDist(cat, girl)
					So(distance, ShouldBeGreaterThan, Treshold)
				})
			})

			Convey("And suns do not look like cats", func() {
				PairExecuteFor2ImagesList(suns, cats, func(sun, cat *ImageBag) {
					distance := hammingDist(sun, cat)
					So(distance, ShouldBeGreaterThan, Treshold)
				})
			})

			Convey("And girls do not look like suns", func() {
				PairExecuteFor2ImagesList(girls, suns, func(girl, sun *ImageBag) {
					distance := hammingDist(sun, girl)
					So(distance, ShouldBeGreaterThan, Treshold)
				})
			})

		})
		/*
			Convey("When CDCT Hashes are computed", func() {

				catBig.ComputeImageHashPhash(false)
				catMedium.ComputeImageHashPhash(false)
				catSmall.ComputeImageHashPhash(false)
				catSky.ComputeImageHashPhash(false)
				catSmile.ComputeImageHashPhash(false)

				// lenaToshop.ComputeImageHashPhash(false)
				lenaVintage.ComputeImageHashPhash(false)
				lenaNkd.ComputeImageHashPhash(false)
				girls := []*ImageBag{lenaVintage, lenaNkd}

				sunBig.ComputeImageHashPhash(false)
				sunSmall.ComputeImageHashPhash(false)

				Convey("Then cats do not look like girls", func() {
					PairExecuteFor2ImagesList(cats, girls, func(cat, girl *ImageBag) {
						distance := phash.HammingDistance(cat.CPhash, girl.CPhash)
						So(distance, ShouldBeGreaterThan, Treshold)
					})
				})

				Convey("And suns do not look like cats", func() {
					PairExecuteFor2ImagesList(suns, cats, func(sun, cat *ImageBag) {
						distance := phash.HammingDistance(sun.CPhash, cat.CPhash)
						So(distance, ShouldBeGreaterThan, Treshold)
					})
				})

				Convey("And girls do not look like suns", func() {
					PairExecuteFor2ImagesList(girls, suns, func(girl, sun *ImageBag) {
						distance := phash.HammingDistance(sun.CPhash, girl.CPhash)
						So(distance, ShouldBeGreaterThan, Treshold)
					})
				})

			})*/

		SkipConvey("When Radon Hashes are computed", func() {

			catBig.ComputeImageHashRadon(false)
			catMedium.ComputeImageHashRadon(false)
			catSmall.ComputeImageHashRadon(false)
			catSky.ComputeImageHashRadon(false)
			catSmile.ComputeImageHashRadon(false)

			lenaToshop.ComputeImageHashRadon(false)
			lenaNkd.ComputeImageHashRadon(false)
			lenaVintage.ComputeImageHashRadon(false)

			sunBig.ComputeImageHashRadon(false)
			sunSmall.ComputeImageHashRadon(false)

			Convey("Then cats do not look like girls", func() {
				PairExecuteFor2ImagesList(cats, girls, func(cat, girl *ImageBag) {
					crossCoorrelation, _ := radon.DiffByCrossCorr(cat.ImageDigest.Radon.Digest.Coeffs, girl.ImageDigest.Radon.Digest.Coeffs, 0.8)
					So(crossCoorrelation, ShouldBeFalse)
				})
			})

			Convey("And suns do not look like cats", func() {
				PairExecuteFor2ImagesList(suns, cats, func(sun, cat *ImageBag) {
					crossCoorrelation, _ := radon.DiffByCrossCorr(sun.ImageDigest.Radon.Digest.Coeffs, cat.ImageDigest.Radon.Digest.Coeffs, 0.8)
					So(crossCoorrelation, ShouldBeFalse)
				})
			})

			Convey("And girls do not look like suns", func() {
				PairExecuteFor2ImagesList(girls, suns, func(girl, sun *ImageBag) {
					crossCoorrelation, _ := radon.DiffByCrossCorr(girl.ImageDigest.Radon.Digest.Coeffs, sun.ImageDigest.Radon.Digest.Coeffs, 0.8)
					So(crossCoorrelation, ShouldBeFalse)
				})
			})

		})

	})

}
コード例 #3
0
ファイル: convey_test.go プロジェクト: verisart/phash
func TestAffineTransformedImagesMatch(t *testing.T) {

	Convey("Given some cats are loaded", t, func() {

		catBig := getImgBag(catsDir, "cat_big.jpg", 0)
		catMedium := getImgBag(catsDir, "cat_medium.jpg", 0)
		catSmall := getImgBag(catsDir, "cat_small.jpg", 0)
		/*
			Convey("When DCT Hashes are computed", func() {
				catBig.ImageDigest.ComputeGreyscaleDct()
				catMedium.ImageDigest.ComputeGreyscaleDct()
				catSmall.ImageDigest.ComputeGreyscaleDct()

				Convey("Then the hashes should not be zero", func() {
					So(catBig.Phash, ShouldNotEqual, 0)
					So(catMedium.Phash, ShouldNotEqual, 0)
					So(catSmall.Phash, ShouldNotEqual, 0)
				})

				Convey("And Hamming Distance should be under threshold ", func() {
					distance := phash.HammingDistance(catBig.Phash, catMedium.Phash)
					So(distance, ShouldBeLessThanOrEqualTo, Treshold)
					distance = phash.HammingDistance(catBig.Phash, catSmall.Phash)
					So(distance, ShouldBeLessThanOrEqualTo, Treshold)
					distance = phash.HammingDistance(catMedium.Phash, catSmall.Phash)
					So(distance, ShouldBeLessThanOrEqualTo, Treshold)
				})

			})
		*/
		Convey("When DCTMatrix Hashes are computed", func() {
			catBig.ImageDigest.ComputeGreyscaleDctMatrix()
			catMedium.ImageDigest.ComputeGreyscaleDctMatrix()
			catSmall.ImageDigest.ComputeGreyscaleDctMatrix()

			Convey("Then the hashes should not be zero", func() {
				So(catBig.PhashMatrix, ShouldNotEqual, 0)
				So(catMedium.PhashMatrix, ShouldNotEqual, 0)
				So(catSmall.PhashMatrix, ShouldNotEqual, 0)
			})

			Convey("Then Hamming Distance should be under threshold ", func() {
				distance := hammingDist(catBig, catMedium)
				So(distance, ShouldBeLessThanOrEqualTo, Treshold)
				distance = hammingDist(catBig, catSmall)
				So(distance, ShouldBeLessThanOrEqualTo, Treshold)
				distance = hammingDist(catMedium, catSmall)
				So(distance, ShouldBeLessThanOrEqualTo, Treshold)
			})

		})
		/*
			Convey("When CDCT Hashes are computed", func() {
				catBig.ComputeImageHashPhash(false)
				catMedium.ComputeImageHashPhash(false)
				catSmall.ComputeImageHashPhash(false)

				Convey("Then the hashes should not be zero", func() {
					So(catBig.CPhash, ShouldNotEqual, 0)
					So(catMedium.CPhash, ShouldNotEqual, 0)
					So(catSmall.CPhash, ShouldNotEqual, 0)
				})

				Convey("Then Hamming Distance should be under threshold ", func() {
					distance := phash.HammingDistance(catBig.CPhash, catMedium.CPhash)
					So(distance, ShouldBeLessThanOrEqualTo, Treshold)
					distance = phash.HammingDistance(catBig.CPhash, catSmall.CPhash)
					So(distance, ShouldBeLessThanOrEqualTo, Treshold)
					distance = phash.HammingDistance(catMedium.CPhash, catSmall.CPhash)
					So(distance, ShouldBeLessThanOrEqualTo, Treshold)
				})

			})
		*/
		SkipConvey("When Radon Hashes are computed", func() {
			catBig.ComputeImageHashRadon(false)
			catMedium.ComputeImageHashRadon(false)

			Convey("Then the hashes should not be zero", func() {
				So(len(catBig.ImageDigest.Radon.Digest.Coeffs), ShouldNotEqual, 0)
				So(catBig.ImageDigest.Radon.Digest.Coeffs, ShouldNotBeNil)
				So(len(catMedium.ImageDigest.Radon.Digest.Coeffs), ShouldNotEqual, 0)
				So(catMedium.ImageDigest.Radon.Digest.Coeffs, ShouldNotBeNil)
			})

			Convey("Then the Cross Correlation for threshold should be true", func() {
				crossCoorrelation, _ := radon.DiffByCrossCorr(catBig.ImageDigest.Radon.Digest.Coeffs, catMedium.ImageDigest.Radon.Digest.Coeffs, 0.01)
				So(crossCoorrelation, ShouldBeTrue)
			})

		})

	})

	Convey("Given some suns are loaded", t, func() {
		sunBig := getImgBag(catsDir, "sun_big.jpg", 0)
		sunSmall := getImgBag(catsDir, "sun_small.jpg", 0)

		Convey("When DCT Hashes are computed", func() {
			sunBig.ImageDigest.ComputeGreyscaleDct()
			sunSmall.ImageDigest.ComputeGreyscaleDct()

			Convey("Then the hashes should not be zero", func() {
				So(sunBig.Phash, ShouldNotEqual, 0)
				So(sunSmall.Phash, ShouldNotEqual, 0)
			})

			Convey("And Hamming Distance should be under threshold ", func() {
				distance := phash.HammingDistance(sunBig.Phash, sunSmall.Phash)
				So(distance, ShouldBeLessThanOrEqualTo, Treshold)
			})

		})

		Convey("When DCTMatrix Hashes are computed", func() {
			fmt.Println("checking sunBig")
			sunBig.ImageDigest.ComputeGreyscaleDctMatrix()
			fmt.Println("checking sunSmall")
			sunSmall.ImageDigest.ComputeGreyscaleDctMatrix()

			Convey("Then the hashes should not be zero", func() {
				So(sunBig.PhashMatrix, ShouldNotEqual, 0)
				So(sunSmall.PhashMatrix, ShouldNotEqual, 0)
			})

			Convey("Then Hamming Distance should be under threshold ", func() {
				distance := hammingDist(sunBig, sunSmall)
				So(distance, ShouldBeLessThanOrEqualTo, Treshold)
				distance = hammingDist(sunBig, sunSmall)
				So(distance, ShouldBeLessThanOrEqualTo, Treshold)
			})

		})
		/*
			Convey("When CDCT Hashes are computed", func() {
				sunBig.ComputeImageHashPhash(false)
				sunSmall.ComputeImageHashPhash(false)

				Convey("Then the hashes should not be zero", func() {
					So(sunBig.CPhash, ShouldNotEqual, 0)
					So(sunSmall.CPhash, ShouldNotEqual, 0)
				})

				Convey("Then Hamming Distance should be under threshold ", func() {
					distance := phash.HammingDistance(sunBig.CPhash, sunSmall.CPhash)
					So(distance, ShouldBeLessThanOrEqualTo, Treshold)
					distance = phash.HammingDistance(sunBig.CPhash, sunSmall.CPhash)
					So(distance, ShouldBeLessThanOrEqualTo, Treshold)
				})

			})*/

		Convey("When Radon Hashes are computed", func() {
			sunBig.ComputeImageHashRadon(false)
			sunSmall.ComputeImageHashRadon(false)

			Convey("Then the hashes should not be zero", func() {
				So(len(sunBig.ImageDigest.Radon.Digest.Coeffs), ShouldNotEqual, 0)
				So(sunBig.ImageDigest.Radon.Digest.Coeffs, ShouldNotBeNil)
				So(len(sunSmall.ImageDigest.Radon.Digest.Coeffs), ShouldNotEqual, 0)
				So(sunSmall.ImageDigest.Radon.Digest.Coeffs, ShouldNotBeNil)
			})

			SkipConvey("Then the Cross Correlation for threshold should be true", func() {

				crossCoorrelation, _ := radon.DiffByCrossCorr(sunBig.ImageDigest.Radon.Digest.Coeffs, sunSmall.ImageDigest.Radon.Digest.Coeffs, -0.1)
				So(crossCoorrelation, ShouldBeTrue)
				crossCoorrelation, _ = radon.DiffByCrossCorr(sunBig.ImageDigest.Radon.Digest.Coeffs, sunSmall.ImageDigest.Radon.Digest.Coeffs, 0.0)
				So(crossCoorrelation, ShouldBeTrue)
			})

		})

	})

}
コード例 #4
0
ファイル: convey_test.go プロジェクト: verisart/phash
func hammingDist(a, b *ImageBag) uint64 {
	dist := phash.HammingDistance(a.PhashMatrix, b.PhashMatrix)
	fmt.Printf("dist between %s and %s is %d", a.Filename, b.Filename, dist)
	return dist
}