97 lines
2.5 KiB
Go
97 lines
2.5 KiB
Go
package vision
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import (
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"bytes"
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"image"
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"image/color"
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"image/jpeg"
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"testing"
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)
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func solid(w, h int, c color.Gray) *image.Gray {
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img := image.NewGray(image.Rect(0, 0, w, h))
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for y := 0; y < h; y++ {
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for x := 0; x < w; x++ {
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img.SetGray(x, y, c)
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}
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}
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return img
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}
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func TestFingerprintIdentical(t *testing.T) {
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a := solid(120, 80, color.Gray{Y: 40})
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b := solid(120, 80, color.Gray{Y: 40})
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if d := Of(a).Distance(Of(b)); d != 0 {
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t.Fatalf("相同画面应无差异，实际距离 %d", d)
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}
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if Of(a).Changed(Of(b), 5, 0.01) {
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t.Fatal("相同画面不应判定为变化")
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}
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}
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func TestFingerprintDetectsChange(t *testing.T) {
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base := solid(120, 80, color.Gray{Y: 20})
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changed := image.NewGray(image.Rect(0, 0, 120, 80))
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for y := 0; y < 80; y++ {
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for x := 60; x < 120; x++ {
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changed.SetGray(x, y, color.Gray{Y: 250})
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}
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}
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if !Of(changed).Changed(Of(base), 5, 0.01) {
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t.Fatal("右半边变白应被判定为变化")
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}
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}
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func TestFingerprintDetectsSubtleLocalChange(t *testing.T) {
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// 整块画面背景一致，只有一小块文字/内容变了：8×8 感知哈希会被平均掉，
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// 但高分辨率细节网格的归一化平均差能可靠捕捉到。这正是"题目变了却检测
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// 不出来"这类问题的修复目标。
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base := solid(256, 256, color.Gray{Y: 200})
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changed := solid(256, 256, color.Gray{Y: 200})
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for y := 40; y < 90; y++ {
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for x := 40; x < 90; x++ {
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changed.SetGray(x, y, color.Gray{Y: 20})
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}
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}
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if !Of(changed).Changed(Of(base), 5, 0.01) {
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t.Fatal("局部小区域变化应被细节网格判定为变化")
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}
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}
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func TestEncodeJPEGResizesLongEdge(t *testing.T) {
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src := solid(2000, 400, color.Gray{Y: 128})
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raw, err := EncodeJPEG(src, 1280, 75)
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if err != nil {
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t.Fatalf("编码失败: %v", err)
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}
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if len(raw) == 0 {
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t.Fatal("编码结果为空")
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}
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img, err := jpeg.Decode(bytes.NewReader(raw))
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if err != nil {
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t.Fatalf("解码失败: %v", err)
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}
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b := img.Bounds()
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if b.Dx() != 1280 {
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t.Fatalf("长边应缩放到 1280，实际宽 %d", b.Dx())
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}
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if b.Dy() != 256 {
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t.Fatalf("等比缩放后高应为 256，实际 %d", b.Dy())
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}
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}
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func TestEncodeJPEGKeepsSmallImage(t *testing.T) {
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src := solid(64, 32, color.Gray{Y: 200})
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raw, err := EncodeJPEG(src, 1280, 75)
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if err != nil {
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t.Fatalf("编码失败: %v", err)
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}
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img, err := jpeg.Decode(bytes.NewReader(raw))
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if err != nil {
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t.Fatalf("解码失败: %v", err)
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}
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if img.Bounds().Dx() != 64 {
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t.Fatalf("小图不应放大，实际宽 %d", img.Bounds().Dx())
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}
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}
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