Fix tests
This commit is contained in:
Timmy Welch
parent
33ff96e45f
commit
b4754030d1
2
go.mod
2
go.mod
@ -1,6 +1,6 @@
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module gitea.narnian.us/lordwelch/goimagehash
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go 1.21
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go 1.22
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toolchain go1.22.0
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@ -19,33 +19,33 @@ func TestHashCompute(t *testing.T) {
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name string
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distance int
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}{
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{"_examples/sample1.jpg", "_examples/sample1.jpg", AverageHash, "AverageHash", 0},
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{"_examples/sample2.jpg", "_examples/sample2.jpg", AverageHash, "AverageHash", 0},
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{"_examples/sample3.jpg", "_examples/sample3.jpg", AverageHash, "AverageHash", 0},
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{"_examples/sample4.jpg", "_examples/sample4.jpg", AverageHash, "AverageHash", 0},
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{"_examples/sample1.jpg", "_examples/sample2.jpg", AverageHash, "AverageHash", 40},
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{"_examples/sample1.jpg", "_examples/sample3.jpg", AverageHash, "AverageHash", 0},
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{"_examples/sample1.jpg", "_examples/sample4.jpg", AverageHash, "AverageHash", 34},
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{"_examples/sample2.jpg", "_examples/sample3.jpg", AverageHash, "AverageHash", 40},
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{"_examples/sample2.jpg", "_examples/sample4.jpg", AverageHash, "AverageHash", 6},
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{"_examples/sample1.jpg", "_examples/sample1.jpg", DifferenceHash, "DifferenceHash", 0},
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{"_examples/sample2.jpg", "_examples/sample2.jpg", DifferenceHash, "DifferenceHash", 0},
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{"_examples/sample3.jpg", "_examples/sample3.jpg", DifferenceHash, "DifferenceHash", 0},
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{"_examples/sample4.jpg", "_examples/sample4.jpg", DifferenceHash, "DifferenceHash", 0},
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{"_examples/sample1.jpg", "_examples/sample2.jpg", DifferenceHash, "DifferenceHash", 40},
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{"_examples/sample1.jpg", "_examples/sample3.jpg", DifferenceHash, "DifferenceHash", 2},
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{"_examples/sample1.jpg", "_examples/sample4.jpg", DifferenceHash, "DifferenceHash", 38},
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{"_examples/sample2.jpg", "_examples/sample3.jpg", DifferenceHash, "DifferenceHash", 42},
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{"_examples/sample2.jpg", "_examples/sample4.jpg", DifferenceHash, "DifferenceHash", 20},
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{"_examples/sample1.jpg", "_examples/sample1.jpg", PerceptionHash, "PerceptionHash", 0},
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{"_examples/sample2.jpg", "_examples/sample2.jpg", PerceptionHash, "PerceptionHash", 0},
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{"_examples/sample3.jpg", "_examples/sample3.jpg", PerceptionHash, "PerceptionHash", 0},
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{"_examples/sample4.jpg", "_examples/sample4.jpg", PerceptionHash, "PerceptionHash", 0},
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{"_examples/sample1.jpg", "_examples/sample2.jpg", PerceptionHash, "PerceptionHash", 34},
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{"_examples/sample1.jpg", "_examples/sample3.jpg", PerceptionHash, "PerceptionHash", 0},
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{"_examples/sample1.jpg", "_examples/sample4.jpg", PerceptionHash, "PerceptionHash", 30},
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{"_examples/sample2.jpg", "_examples/sample3.jpg", PerceptionHash, "PerceptionHash", 34},
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{"_examples/sample2.jpg", "_examples/sample4.jpg", PerceptionHash, "PerceptionHash", 20},
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{"_examples/images/sample1.jpg", "_examples/images/sample1.jpg", AverageHash, "AverageHash", 0},
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{"_examples/images/sample2.jpg", "_examples/images/sample2.jpg", AverageHash, "AverageHash", 0},
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{"_examples/images/sample3.jpg", "_examples/images/sample3.jpg", AverageHash, "AverageHash", 0},
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{"_examples/images/sample4.jpg", "_examples/images/sample4.jpg", AverageHash, "AverageHash", 0},
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{"_examples/images/sample1.jpg", "_examples/images/sample2.jpg", AverageHash, "AverageHash", 40},
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{"_examples/images/sample1.jpg", "_examples/images/sample3.jpg", AverageHash, "AverageHash", 0},
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{"_examples/images/sample1.jpg", "_examples/images/sample4.jpg", AverageHash, "AverageHash", 34},
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{"_examples/images/sample2.jpg", "_examples/images/sample3.jpg", AverageHash, "AverageHash", 40},
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{"_examples/images/sample2.jpg", "_examples/images/sample4.jpg", AverageHash, "AverageHash", 6},
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{"_examples/images/sample1.jpg", "_examples/images/sample1.jpg", DifferenceHash, "DifferenceHash", 0},
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{"_examples/images/sample2.jpg", "_examples/images/sample2.jpg", DifferenceHash, "DifferenceHash", 0},
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{"_examples/images/sample3.jpg", "_examples/images/sample3.jpg", DifferenceHash, "DifferenceHash", 0},
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{"_examples/images/sample4.jpg", "_examples/images/sample4.jpg", DifferenceHash, "DifferenceHash", 0},
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{"_examples/images/sample1.jpg", "_examples/images/sample2.jpg", DifferenceHash, "DifferenceHash", 40},
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{"_examples/images/sample1.jpg", "_examples/images/sample3.jpg", DifferenceHash, "DifferenceHash", 2},
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{"_examples/images/sample1.jpg", "_examples/images/sample4.jpg", DifferenceHash, "DifferenceHash", 38},
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{"_examples/images/sample2.jpg", "_examples/images/sample3.jpg", DifferenceHash, "DifferenceHash", 42},
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{"_examples/images/sample2.jpg", "_examples/images/sample4.jpg", DifferenceHash, "DifferenceHash", 20},
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{"_examples/images/sample1.jpg", "_examples/images/sample1.jpg", PerceptionHash, "PerceptionHash", 0},
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{"_examples/images/sample2.jpg", "_examples/images/sample2.jpg", PerceptionHash, "PerceptionHash", 0},
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{"_examples/images/sample3.jpg", "_examples/images/sample3.jpg", PerceptionHash, "PerceptionHash", 0},
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{"_examples/images/sample4.jpg", "_examples/images/sample4.jpg", PerceptionHash, "PerceptionHash", 0},
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{"_examples/images/sample1.jpg", "_examples/images/sample2.jpg", PerceptionHash, "PerceptionHash", 34},
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{"_examples/images/sample1.jpg", "_examples/images/sample3.jpg", PerceptionHash, "PerceptionHash", 0},
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{"_examples/images/sample1.jpg", "_examples/images/sample4.jpg", PerceptionHash, "PerceptionHash", 30},
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{"_examples/images/sample2.jpg", "_examples/images/sample3.jpg", PerceptionHash, "PerceptionHash", 34},
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{"_examples/images/sample2.jpg", "_examples/images/sample4.jpg", PerceptionHash, "PerceptionHash", 20},
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} {
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file1, err := os.Open(tt.img1)
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if err != nil {
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@ -124,7 +124,7 @@ func TestNilHashCompute(t *testing.T) {
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}
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func TestExtendHashCompute(t *testing.T) {
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file, err := os.Open("_examples/sample1.jpg")
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file, err := os.Open("_examples/images/sample1.jpg")
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if err != nil {
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t.Errorf("%s", err)
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}
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@ -213,68 +213,68 @@ func BenchmarkDistanceDifferent(b *testing.B) {
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// name string
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// distance int
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// }{
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// {"_examples/sample1.jpg", "_examples/sample1.jpg", 8, 8, ExtAverageHash, "ExtAverageHash", 0},
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// {"_examples/sample2.jpg", "_examples/sample2.jpg", 8, 8, ExtAverageHash, "ExtAverageHash", 0},
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// {"_examples/sample3.jpg", "_examples/sample3.jpg", 8, 8, ExtAverageHash, "ExtAverageHash", 0},
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// {"_examples/sample4.jpg", "_examples/sample4.jpg", 8, 8, ExtAverageHash, "ExtAverageHash", 0},
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// {"_examples/sample1.jpg", "_examples/sample2.jpg", 8, 8, ExtAverageHash, "ExtAverageHash", 40},
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// {"_examples/sample1.jpg", "_examples/sample3.jpg", 8, 8, ExtAverageHash, "ExtAverageHash", 0},
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// {"_examples/sample1.jpg", "_examples/sample4.jpg", 8, 8, ExtAverageHash, "ExtAverageHash", 34},
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// {"_examples/sample2.jpg", "_examples/sample3.jpg", 8, 8, ExtAverageHash, "ExtAverageHash", 40},
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// {"_examples/sample2.jpg", "_examples/sample4.jpg", 8, 8, ExtAverageHash, "ExtAverageHash", 6},
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// {"_examples/sample1.jpg", "_examples/sample1.jpg", 16, 16, ExtAverageHash, "ExtAverageHash", 0},
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// {"_examples/sample2.jpg", "_examples/sample2.jpg", 16, 16, ExtAverageHash, "ExtAverageHash", 0},
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// {"_examples/sample3.jpg", "_examples/sample3.jpg", 16, 16, ExtAverageHash, "ExtAverageHash", 0},
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// {"_examples/sample4.jpg", "_examples/sample4.jpg", 16, 16, ExtAverageHash, "ExtAverageHash", 0},
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// {"_examples/sample1.jpg", "_examples/sample2.jpg", 16, 16, ExtAverageHash, "ExtAverageHash", 143},
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// {"_examples/sample1.jpg", "_examples/sample3.jpg", 16, 16, ExtAverageHash, "ExtAverageHash", 3},
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// {"_examples/sample1.jpg", "_examples/sample4.jpg", 16, 16, ExtAverageHash, "ExtAverageHash", 148},
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// {"_examples/sample2.jpg", "_examples/sample3.jpg", 16, 16, ExtAverageHash, "ExtAverageHash", 146},
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// {"_examples/sample2.jpg", "_examples/sample4.jpg", 16, 16, ExtAverageHash, "ExtAverageHash", 31},
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// {"_examples/sample1.jpg", "_examples/sample1.jpg", 17, 17, ExtAverageHash, "ExtAverageHash", 0},
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// {"_examples/sample2.jpg", "_examples/sample2.jpg", 17, 17, ExtAverageHash, "ExtAverageHash", 0},
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// {"_examples/sample3.jpg", "_examples/sample3.jpg", 17, 17, ExtAverageHash, "ExtAverageHash", 0},
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// {"_examples/sample4.jpg", "_examples/sample4.jpg", 17, 17, ExtAverageHash, "ExtAverageHash", 0},
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// {"_examples/sample1.jpg", "_examples/sample1.jpg", 8, 4, ExtPerceptionHash, "ExtPerceptionHash", 0},
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// {"_examples/sample2.jpg", "_examples/sample2.jpg", 8, 4, ExtPerceptionHash, "ExtPerceptionHash", 0},
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// {"_examples/sample3.jpg", "_examples/sample3.jpg", 8, 4, ExtPerceptionHash, "ExtPerceptionHash", 0},
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// {"_examples/sample4.jpg", "_examples/sample4.jpg", 8, 4, ExtPerceptionHash, "ExtPerceptionHash", 0},
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// {"_examples/sample1.jpg", "_examples/sample2.jpg", 8, 4, ExtPerceptionHash, "ExtPerceptionHash", 32},
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// {"_examples/sample1.jpg", "_examples/sample3.jpg", 8, 4, ExtPerceptionHash, "ExtPerceptionHash", 2},
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// {"_examples/sample1.jpg", "_examples/sample4.jpg", 8, 4, ExtPerceptionHash, "ExtPerceptionHash", 30},
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// {"_examples/sample2.jpg", "_examples/sample3.jpg", 8, 4, ExtPerceptionHash, "ExtPerceptionHash", 34},
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// {"_examples/sample2.jpg", "_examples/sample4.jpg", 8, 4, ExtPerceptionHash, "ExtPerceptionHash", 20},
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// {"_examples/sample1.jpg", "_examples/sample1.jpg", 16, 4, ExtPerceptionHash, "ExtPerceptionHash", 0},
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// {"_examples/sample2.jpg", "_examples/sample2.jpg", 16, 4, ExtPerceptionHash, "ExtPerceptionHash", 0},
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// {"_examples/sample3.jpg", "_examples/sample3.jpg", 16, 4, ExtPerceptionHash, "ExtPerceptionHash", 0},
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// {"_examples/sample4.jpg", "_examples/sample4.jpg", 16, 4, ExtPerceptionHash, "ExtPerceptionHash", 0},
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// {"_examples/sample1.jpg", "_examples/sample2.jpg", 16, 4, ExtPerceptionHash, "ExtPerceptionHash", 124},
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// {"_examples/sample1.jpg", "_examples/sample3.jpg", 16, 4, ExtPerceptionHash, "ExtPerceptionHash", 14},
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// {"_examples/sample1.jpg", "_examples/sample4.jpg", 16, 4, ExtPerceptionHash, "ExtPerceptionHash", 122},
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// {"_examples/sample2.jpg", "_examples/sample3.jpg", 16, 4, ExtPerceptionHash, "ExtPerceptionHash", 120},
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// {"_examples/sample2.jpg", "_examples/sample4.jpg", 16, 4, ExtPerceptionHash, "ExtPerceptionHash", 102},
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// {"_examples/sample1.jpg", "_examples/sample1.jpg", 8, 8, ExtDifferenceHash, "ExtDifferenceHash", 0},
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// {"_examples/sample2.jpg", "_examples/sample2.jpg", 8, 8, ExtDifferenceHash, "ExtDifferenceHash", 0},
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// {"_examples/sample3.jpg", "_examples/sample3.jpg", 8, 8, ExtDifferenceHash, "ExtDifferenceHash", 0},
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// {"_examples/sample4.jpg", "_examples/sample4.jpg", 8, 8, ExtDifferenceHash, "ExtDifferenceHash", 0},
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// {"_examples/sample1.jpg", "_examples/sample2.jpg", 8, 8, ExtDifferenceHash, "ExtDifferenceHash", 40},
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// {"_examples/sample1.jpg", "_examples/sample3.jpg", 8, 8, ExtDifferenceHash, "ExtDifferenceHash", 2},
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// {"_examples/sample1.jpg", "_examples/sample4.jpg", 8, 8, ExtDifferenceHash, "ExtDifferenceHash", 38},
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// {"_examples/sample2.jpg", "_examples/sample3.jpg", 8, 8, ExtDifferenceHash, "ExtDifferenceHash", 42},
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// {"_examples/sample2.jpg", "_examples/sample4.jpg", 8, 8, ExtDifferenceHash, "ExtDifferenceHash", 20},
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// {"_examples/sample1.jpg", "_examples/sample1.jpg", 16, 16, ExtDifferenceHash, "ExtDifferenceHash", 0},
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// {"_examples/sample2.jpg", "_examples/sample2.jpg", 16, 16, ExtDifferenceHash, "ExtDifferenceHash", 0},
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// {"_examples/sample3.jpg", "_examples/sample3.jpg", 16, 16, ExtDifferenceHash, "ExtDifferenceHash", 0},
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// {"_examples/sample4.jpg", "_examples/sample4.jpg", 16, 16, ExtDifferenceHash, "ExtDifferenceHash", 0},
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// {"_examples/sample1.jpg", "_examples/sample2.jpg", 16, 16, ExtDifferenceHash, "ExtDifferenceHash", 137},
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// {"_examples/sample1.jpg", "_examples/sample3.jpg", 16, 16, ExtDifferenceHash, "ExtDifferenceHash", 13},
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// {"_examples/sample1.jpg", "_examples/sample4.jpg", 16, 16, ExtDifferenceHash, "ExtDifferenceHash", 124},
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// {"_examples/sample2.jpg", "_examples/sample3.jpg", 16, 16, ExtDifferenceHash, "ExtDifferenceHash", 140},
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// {"_examples/sample2.jpg", "_examples/sample4.jpg", 16, 16, ExtDifferenceHash, "ExtDifferenceHash", 109},
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// {"_examples/sample1.jpg", "_examples/sample1.jpg", 17, 17, ExtDifferenceHash, "ExtDifferenceHash", 0},
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// {"_examples/sample2.jpg", "_examples/sample2.jpg", 17, 17, ExtDifferenceHash, "ExtDifferenceHash", 0},
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// {"_examples/sample3.jpg", "_examples/sample3.jpg", 17, 17, ExtDifferenceHash, "ExtDifferenceHash", 0},
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// {"_examples/sample4.jpg", "_examples/sample4.jpg", 17, 17, ExtDifferenceHash, "ExtDifferenceHash", 0},
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// {"_examples/images/sample1.jpg", "_examples/images/sample1.jpg", 8, 8, ExtAverageHash, "ExtAverageHash", 0},
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// {"_examples/images/sample2.jpg", "_examples/images/sample2.jpg", 8, 8, ExtAverageHash, "ExtAverageHash", 0},
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// {"_examples/images/sample3.jpg", "_examples/images/sample3.jpg", 8, 8, ExtAverageHash, "ExtAverageHash", 0},
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// {"_examples/images/sample4.jpg", "_examples/images/sample4.jpg", 8, 8, ExtAverageHash, "ExtAverageHash", 0},
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// {"_examples/images/sample1.jpg", "_examples/images/sample2.jpg", 8, 8, ExtAverageHash, "ExtAverageHash", 40},
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// {"_examples/images/sample1.jpg", "_examples/images/sample3.jpg", 8, 8, ExtAverageHash, "ExtAverageHash", 0},
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// {"_examples/images/sample1.jpg", "_examples/images/sample4.jpg", 8, 8, ExtAverageHash, "ExtAverageHash", 34},
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// {"_examples/images/sample2.jpg", "_examples/images/sample3.jpg", 8, 8, ExtAverageHash, "ExtAverageHash", 40},
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// {"_examples/images/sample2.jpg", "_examples/images/sample4.jpg", 8, 8, ExtAverageHash, "ExtAverageHash", 6},
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// {"_examples/images/sample1.jpg", "_examples/images/sample1.jpg", 16, 16, ExtAverageHash, "ExtAverageHash", 0},
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// {"_examples/images/sample2.jpg", "_examples/images/sample2.jpg", 16, 16, ExtAverageHash, "ExtAverageHash", 0},
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// {"_examples/images/sample3.jpg", "_examples/images/sample3.jpg", 16, 16, ExtAverageHash, "ExtAverageHash", 0},
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// {"_examples/images/sample4.jpg", "_examples/images/sample4.jpg", 16, 16, ExtAverageHash, "ExtAverageHash", 0},
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// {"_examples/images/sample1.jpg", "_examples/images/sample2.jpg", 16, 16, ExtAverageHash, "ExtAverageHash", 143},
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// {"_examples/images/sample1.jpg", "_examples/images/sample3.jpg", 16, 16, ExtAverageHash, "ExtAverageHash", 3},
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// {"_examples/images/sample1.jpg", "_examples/images/sample4.jpg", 16, 16, ExtAverageHash, "ExtAverageHash", 148},
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// {"_examples/images/sample2.jpg", "_examples/images/sample3.jpg", 16, 16, ExtAverageHash, "ExtAverageHash", 146},
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// {"_examples/images/sample2.jpg", "_examples/images/sample4.jpg", 16, 16, ExtAverageHash, "ExtAverageHash", 31},
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// {"_examples/images/sample1.jpg", "_examples/images/sample1.jpg", 17, 17, ExtAverageHash, "ExtAverageHash", 0},
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// {"_examples/images/sample2.jpg", "_examples/images/sample2.jpg", 17, 17, ExtAverageHash, "ExtAverageHash", 0},
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// {"_examples/images/sample3.jpg", "_examples/images/sample3.jpg", 17, 17, ExtAverageHash, "ExtAverageHash", 0},
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// {"_examples/images/sample4.jpg", "_examples/images/sample4.jpg", 17, 17, ExtAverageHash, "ExtAverageHash", 0},
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// {"_examples/images/sample1.jpg", "_examples/images/sample1.jpg", 8, 4, ExtPerceptionHash, "ExtPerceptionHash", 0},
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// {"_examples/images/sample2.jpg", "_examples/images/sample2.jpg", 8, 4, ExtPerceptionHash, "ExtPerceptionHash", 0},
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// {"_examples/images/sample3.jpg", "_examples/images/sample3.jpg", 8, 4, ExtPerceptionHash, "ExtPerceptionHash", 0},
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// {"_examples/images/sample4.jpg", "_examples/images/sample4.jpg", 8, 4, ExtPerceptionHash, "ExtPerceptionHash", 0},
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// {"_examples/images/sample1.jpg", "_examples/images/sample2.jpg", 8, 4, ExtPerceptionHash, "ExtPerceptionHash", 32},
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// {"_examples/images/sample1.jpg", "_examples/images/sample3.jpg", 8, 4, ExtPerceptionHash, "ExtPerceptionHash", 2},
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// {"_examples/images/sample1.jpg", "_examples/images/sample4.jpg", 8, 4, ExtPerceptionHash, "ExtPerceptionHash", 30},
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// {"_examples/images/sample2.jpg", "_examples/images/sample3.jpg", 8, 4, ExtPerceptionHash, "ExtPerceptionHash", 34},
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// {"_examples/images/sample2.jpg", "_examples/images/sample4.jpg", 8, 4, ExtPerceptionHash, "ExtPerceptionHash", 20},
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// {"_examples/images/sample1.jpg", "_examples/images/sample1.jpg", 16, 4, ExtPerceptionHash, "ExtPerceptionHash", 0},
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// {"_examples/images/sample2.jpg", "_examples/images/sample2.jpg", 16, 4, ExtPerceptionHash, "ExtPerceptionHash", 0},
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// {"_examples/images/sample3.jpg", "_examples/images/sample3.jpg", 16, 4, ExtPerceptionHash, "ExtPerceptionHash", 0},
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// {"_examples/images/sample4.jpg", "_examples/images/sample4.jpg", 16, 4, ExtPerceptionHash, "ExtPerceptionHash", 0},
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// {"_examples/images/sample1.jpg", "_examples/images/sample2.jpg", 16, 4, ExtPerceptionHash, "ExtPerceptionHash", 124},
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// {"_examples/images/sample1.jpg", "_examples/images/sample3.jpg", 16, 4, ExtPerceptionHash, "ExtPerceptionHash", 14},
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// {"_examples/images/sample1.jpg", "_examples/images/sample4.jpg", 16, 4, ExtPerceptionHash, "ExtPerceptionHash", 122},
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// {"_examples/images/sample2.jpg", "_examples/images/sample3.jpg", 16, 4, ExtPerceptionHash, "ExtPerceptionHash", 120},
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// {"_examples/images/sample2.jpg", "_examples/images/sample4.jpg", 16, 4, ExtPerceptionHash, "ExtPerceptionHash", 102},
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// {"_examples/images/sample1.jpg", "_examples/images/sample1.jpg", 8, 8, ExtDifferenceHash, "ExtDifferenceHash", 0},
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// {"_examples/images/sample2.jpg", "_examples/images/sample2.jpg", 8, 8, ExtDifferenceHash, "ExtDifferenceHash", 0},
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// {"_examples/images/sample3.jpg", "_examples/images/sample3.jpg", 8, 8, ExtDifferenceHash, "ExtDifferenceHash", 0},
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// {"_examples/images/sample4.jpg", "_examples/images/sample4.jpg", 8, 8, ExtDifferenceHash, "ExtDifferenceHash", 0},
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// {"_examples/images/sample1.jpg", "_examples/images/sample2.jpg", 8, 8, ExtDifferenceHash, "ExtDifferenceHash", 40},
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// {"_examples/images/sample1.jpg", "_examples/images/sample3.jpg", 8, 8, ExtDifferenceHash, "ExtDifferenceHash", 2},
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// {"_examples/images/sample1.jpg", "_examples/images/sample4.jpg", 8, 8, ExtDifferenceHash, "ExtDifferenceHash", 38},
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// {"_examples/images/sample2.jpg", "_examples/images/sample3.jpg", 8, 8, ExtDifferenceHash, "ExtDifferenceHash", 42},
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// {"_examples/images/sample2.jpg", "_examples/images/sample4.jpg", 8, 8, ExtDifferenceHash, "ExtDifferenceHash", 20},
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// {"_examples/images/sample1.jpg", "_examples/images/sample1.jpg", 16, 16, ExtDifferenceHash, "ExtDifferenceHash", 0},
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// {"_examples/images/sample2.jpg", "_examples/images/sample2.jpg", 16, 16, ExtDifferenceHash, "ExtDifferenceHash", 0},
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// {"_examples/images/sample3.jpg", "_examples/images/sample3.jpg", 16, 16, ExtDifferenceHash, "ExtDifferenceHash", 0},
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// {"_examples/images/sample4.jpg", "_examples/images/sample4.jpg", 16, 16, ExtDifferenceHash, "ExtDifferenceHash", 0},
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// {"_examples/images/sample1.jpg", "_examples/images/sample2.jpg", 16, 16, ExtDifferenceHash, "ExtDifferenceHash", 137},
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// {"_examples/images/sample1.jpg", "_examples/images/sample3.jpg", 16, 16, ExtDifferenceHash, "ExtDifferenceHash", 13},
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// {"_examples/images/sample1.jpg", "_examples/images/sample4.jpg", 16, 16, ExtDifferenceHash, "ExtDifferenceHash", 124},
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// {"_examples/images/sample2.jpg", "_examples/images/sample3.jpg", 16, 16, ExtDifferenceHash, "ExtDifferenceHash", 140},
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// {"_examples/images/sample2.jpg", "_examples/images/sample4.jpg", 16, 16, ExtDifferenceHash, "ExtDifferenceHash", 109},
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// {"_examples/images/sample1.jpg", "_examples/images/sample1.jpg", 17, 17, ExtDifferenceHash, "ExtDifferenceHash", 0},
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// {"_examples/images/sample2.jpg", "_examples/images/sample2.jpg", 17, 17, ExtDifferenceHash, "ExtDifferenceHash", 0},
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// {"_examples/images/sample3.jpg", "_examples/images/sample3.jpg", 17, 17, ExtDifferenceHash, "ExtDifferenceHash", 0},
|
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// {"_examples/images/sample4.jpg", "_examples/images/sample4.jpg", 17, 17, ExtDifferenceHash, "ExtDifferenceHash", 0},
|
||||
// } {
|
||||
// file1, err := os.Open(tt.img1)
|
||||
// if err != nil {
|
||||
@ -340,7 +340,7 @@ func BenchmarkExtImageHashDistanceDifferent(b *testing.B) {
|
||||
}
|
||||
|
||||
func BenchmarkPerceptionHash(b *testing.B) {
|
||||
file1, err := os.Open("_examples/sample3.jpg")
|
||||
file1, err := os.Open("_examples/images/sample3.jpg")
|
||||
if err != nil {
|
||||
b.Errorf("%s", err)
|
||||
}
|
||||
@ -350,45 +350,84 @@ func BenchmarkPerceptionHash(b *testing.B) {
|
||||
b.Errorf("%s", err)
|
||||
}
|
||||
for i := 0; i < b.N; i++ {
|
||||
_, err := ExtPerceptionHash(img1, 8, 8)
|
||||
_, err := PerceptionHash(img1)
|
||||
if err != nil {
|
||||
b.Errorf("%s", err)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// func BenchmarkAverageHash(b *testing.B) {
|
||||
// file1, err := os.Open("_examples/sample3.jpg")
|
||||
// if err != nil {
|
||||
// b.Errorf("%s", err)
|
||||
// }
|
||||
// defer file1.Close()
|
||||
// img1, err := jpeg.Decode(file1)
|
||||
// if err != nil {
|
||||
// b.Errorf("%s", err)
|
||||
// }
|
||||
// for i := 0; i < b.N; i++ {
|
||||
// _, err := ExtAverageHash(img1, 8, 8)
|
||||
// if err != nil {
|
||||
// b.Errorf("%s", err)
|
||||
// }
|
||||
// }
|
||||
// }
|
||||
func BenchmarkAverageHash(b *testing.B) {
|
||||
file1, err := os.Open("_examples/images/sample3.jpg")
|
||||
if err != nil {
|
||||
b.Errorf("%s", err)
|
||||
}
|
||||
defer file1.Close()
|
||||
img1, err := jpeg.Decode(file1)
|
||||
if err != nil {
|
||||
b.Errorf("%s", err)
|
||||
}
|
||||
for i := 0; i < b.N; i++ {
|
||||
_, err := AverageHash(img1)
|
||||
if err != nil {
|
||||
b.Errorf("%s", err)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// func BenchmarkDifferenceHash(b *testing.B) {
|
||||
// file1, err := os.Open("_examples/sample3.jpg")
|
||||
// if err != nil {
|
||||
// b.Errorf("%s", err)
|
||||
// }
|
||||
// defer file1.Close()
|
||||
// img1, err := jpeg.Decode(file1)
|
||||
// if err != nil {
|
||||
// b.Errorf("%s", err)
|
||||
// }
|
||||
// for i := 0; i < b.N; i++ {
|
||||
// _, err := ExtDifferenceHash(img1, 8, 8)
|
||||
// if err != nil {
|
||||
// b.Errorf("%s", err)
|
||||
// }
|
||||
// }
|
||||
// }
|
||||
func BenchmarkDifferenceHash(b *testing.B) {
|
||||
file1, err := os.Open("_examples/images/sample3.jpg")
|
||||
if err != nil {
|
||||
b.Errorf("%s", err)
|
||||
}
|
||||
defer file1.Close()
|
||||
img1, err := jpeg.Decode(file1)
|
||||
if err != nil {
|
||||
b.Errorf("%s", err)
|
||||
}
|
||||
for i := 0; i < b.N; i++ {
|
||||
_, err := DifferenceHash(img1)
|
||||
if err != nil {
|
||||
b.Errorf("%s", err)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func BenchmarkAllHash(b *testing.B) {
|
||||
imagePaths := []string{
|
||||
"_examples/images/example.png",
|
||||
"_examples/images/sample1.jpg",
|
||||
"_examples/images/sample2.jpg",
|
||||
"_examples/images/sample3.jpg",
|
||||
"_examples/images/sample4.jpg",
|
||||
}
|
||||
images := []image.Image{}
|
||||
for _, path := range imagePaths {
|
||||
file1, err := os.Open(path)
|
||||
if err != nil {
|
||||
b.Errorf("%s", err)
|
||||
}
|
||||
defer file1.Close()
|
||||
img, _, err := image.Decode(file1)
|
||||
if err != nil {
|
||||
b.Errorf("%s", err)
|
||||
}
|
||||
images = append(images, img)
|
||||
}
|
||||
for i := 0; i < b.N; i++ {
|
||||
for _, image := range images {
|
||||
_, err := AverageHash(image)
|
||||
if err != nil {
|
||||
b.Errorf("%s", err)
|
||||
}
|
||||
_, err = DifferenceHash(image)
|
||||
if err != nil {
|
||||
b.Errorf("%s", err)
|
||||
}
|
||||
_, err = PerceptionHash(image)
|
||||
if err != nil {
|
||||
b.Errorf("%s", err)
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@ -11,8 +11,6 @@ import (
|
||||
"image"
|
||||
_ "image/jpeg"
|
||||
"os"
|
||||
"reflect"
|
||||
"runtime"
|
||||
"testing"
|
||||
)
|
||||
|
||||
@ -27,7 +25,7 @@ func TestNewImageHash(t *testing.T) {
|
||||
{[][]uint8{{1, 0, 1, 1}, {0, 0, 0, 0}}, Unknown, Unknown, 3, nil},
|
||||
{[][]uint8{{0, 0, 0, 0}, {0, 0, 0, 0}}, Unknown, Unknown, 0, nil},
|
||||
{[][]uint8{{0, 0, 0, 0}, {0, 0, 0, 1}}, Unknown, Unknown, 1, nil},
|
||||
{[][]uint8{{0, 0, 0, 0}, {0, 0, 0, 1}}, Unknown, AHash, -1, errors.New("Image hashes's kind should be identical")},
|
||||
{[][]uint8{{0, 0, 0, 0}, {0, 0, 0, 1}}, Unknown, AHash, -1, errors.New("image hashes's kind should be identical")},
|
||||
} {
|
||||
data1 := tt.datas[0]
|
||||
data2 := tt.datas[1]
|
||||
@ -51,7 +49,7 @@ func TestNewImageHash(t *testing.T) {
|
||||
t.Errorf("Distance between %v and %v expected as %d but got %d", data1, data2, tt.distance, dis)
|
||||
}
|
||||
if err != nil && err.Error() != tt.err.Error() {
|
||||
t.Errorf("Expected err %s, actual %s", tt.err, err)
|
||||
t.Errorf("Expected err %#v, actual %#v", tt.err, err)
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -67,109 +65,13 @@ func TestNil(t *testing.T) {
|
||||
}
|
||||
}
|
||||
|
||||
func TestSerialization(t *testing.T) {
|
||||
checkErr := func(err error) {
|
||||
if err != nil {
|
||||
t.Errorf("%v", err)
|
||||
}
|
||||
}
|
||||
|
||||
methods := []func(img image.Image) (*ImageHash, error){
|
||||
AverageHash, PerceptionHash, DifferenceHash,
|
||||
}
|
||||
extMethods := []func(img image.Image, width int, height int) (*ExtImageHash, error){
|
||||
// ExtAverageHash ExtPerceptionHash, , ExtDifferenceHash,
|
||||
}
|
||||
examples := []string{
|
||||
"_examples/sample1.jpg", "_examples/sample2.jpg", "_examples/sample3.jpg", "_examples/sample4.jpg",
|
||||
}
|
||||
|
||||
for _, ex := range examples {
|
||||
file, err := os.Open(ex)
|
||||
checkErr(err)
|
||||
|
||||
defer file.Close()
|
||||
|
||||
img, _, err := image.Decode(file)
|
||||
checkErr(err)
|
||||
|
||||
for _, method := range methods {
|
||||
methodStr := runtime.FuncForPC(reflect.ValueOf(method).Pointer()).Name()
|
||||
|
||||
hash, err := method(img)
|
||||
checkErr(err)
|
||||
|
||||
hex := hash.String()
|
||||
// len(kind) == 1, len(":") == 1, len(hash) == 16
|
||||
if len(hex) != 18 {
|
||||
t.Errorf("Got invalid hex string '%v'; %v of '%v'", hex, methodStr, ex)
|
||||
}
|
||||
|
||||
reHash, err := ImageHashFromString(hex)
|
||||
checkErr(err)
|
||||
|
||||
distance, err := hash.Distance(reHash)
|
||||
checkErr(err)
|
||||
|
||||
if distance != 0 {
|
||||
t.Errorf("Original and unserialized objects should be identical, got distance=%v; %v of '%v'", distance, methodStr, ex)
|
||||
}
|
||||
}
|
||||
|
||||
// test for ExtIExtImageHash
|
||||
for _, extMethod := range extMethods {
|
||||
extMethodStr := runtime.FuncForPC(reflect.ValueOf(extMethod).Pointer()).Name()
|
||||
sizeList := []int{8, 16}
|
||||
for _, size := range sizeList {
|
||||
hash, err := extMethod(img, size, size)
|
||||
checkErr(err)
|
||||
|
||||
hex := hash.String()
|
||||
// len(kind) == 1, len(":") == 1
|
||||
if len(hex) != size*size/4+2 {
|
||||
t.Errorf("Got invalid hex string '%v'; %v of '%v'", hex, extMethodStr, ex)
|
||||
}
|
||||
|
||||
reHash, err := ExtImageHashFromString(hex)
|
||||
checkErr(err)
|
||||
|
||||
distance, err := hash.Distance(reHash)
|
||||
checkErr(err)
|
||||
|
||||
if distance != 0 {
|
||||
t.Errorf("Original and unserialized objects should be identical, got distance=%v; %v of '%v'", distance, "ExtPerceptionHash", ex)
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// test for hashing empty string
|
||||
imageHash, err := ImageHashFromString("")
|
||||
if imageHash != nil {
|
||||
t.Errorf("Expected reHash to be nil, got %v", imageHash)
|
||||
}
|
||||
if err == nil {
|
||||
t.Errorf("Should got error for empty string")
|
||||
}
|
||||
extImageHash, err := ExtImageHashFromString("")
|
||||
if extImageHash != nil {
|
||||
t.Errorf("Expected reHash to be nil, got %v", extImageHash)
|
||||
}
|
||||
if err == nil {
|
||||
t.Errorf("Should got error for empty string")
|
||||
}
|
||||
|
||||
// test for hashing invalid (non-hexadecimal) string
|
||||
extImageHash, err = ExtImageHashFromString("k:g")
|
||||
}
|
||||
|
||||
// func TestDifferentBitSizeHash(t *testing.T) {
|
||||
// checkErr := func(err error) {
|
||||
// if err != nil {
|
||||
// t.Errorf("%v", err)
|
||||
// }
|
||||
// }
|
||||
// file, err := os.Open("_examples/sample1.jpg")
|
||||
// file, err := os.Open("_examples/images/sample1.jpg")
|
||||
// checkErr(err)
|
||||
// defer file.Close()
|
||||
|
||||
@ -199,7 +101,7 @@ func TestDumpAndLoad(t *testing.T) {
|
||||
AverageHash, PerceptionHash, DifferenceHash,
|
||||
}
|
||||
examples := []string{
|
||||
"_examples/sample1.jpg", "_examples/sample2.jpg", "_examples/sample3.jpg", "_examples/sample4.jpg",
|
||||
"_examples/images/sample1.jpg", "_examples/images/sample2.jpg", "_examples/images/sample3.jpg", "_examples/images/sample4.jpg",
|
||||
}
|
||||
|
||||
for _, ex := range examples {
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user