From 808bbb2b6128f856b23b75958dbf7be73c0b5c5d Mon Sep 17 00:00:00 2001 From: ma3315865 Date: Thu, 19 Sep 2024 10:59:45 +0800 Subject: [PATCH] augment --- .gitignore | 27 ++++ README.md | 2 + function.go | 361 +++++++++++++++++++++++++++++++++++++++++++++++ function_test.go | 68 +++++++++ go.mod | 5 + go.sum | 2 + model.go | 122 ++++++++++++++++ test.png | Bin 0 -> 729001 bytes tools.go | 36 +++++ tools_test.go | 28 ++++ 10 files changed, 651 insertions(+) create mode 100644 .gitignore create mode 100644 README.md create mode 100644 function.go create mode 100644 function_test.go create mode 100644 go.mod create mode 100644 go.sum create mode 100644 model.go create mode 100644 test.png create mode 100644 tools.go create mode 100644 tools_test.go diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..35b3dfd --- /dev/null +++ b/.gitignore @@ -0,0 +1,27 @@ +# If you prefer the allow list template instead of the deny list, see community template: +# https://github.com/github/gitignore/blob/main/community/Golang/Go.AllowList.gitignore +# +# Binaries for programs and plugins +*.exe +*.exe~ +*.dll +*.so +*.dylib + +# Test binary, built with `go test -c` +*.test + +# Output of the go coverage tool, specifically when used with LiteIDE +*.out + +# Dependency directories (remove the comment below to include it) +# vendor/ + +# Go workspace file +go.work +go.work.sum + +# env file +.env +.idea +.vscode \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..d3990e0 --- /dev/null +++ b/README.md @@ -0,0 +1,2 @@ +# augment +gocv数据增强,生成新的图片并返回labelId和新图片的rect diff --git a/function.go b/function.go new file mode 100644 index 0000000..68bd1c5 --- /dev/null +++ b/function.go @@ -0,0 +1,361 @@ +package augment + +import ( + "gocv.io/x/gocv" + "image" + "image/color" + "math" + "math/rand" + "time" +) + +// 加噪音 高斯模糊 +func (a *DataAugment) addNoise(img gocv.Mat) gocv.Mat { + defer img.Close() + result := gocv.NewMat() + gocv.GaussianBlur(img, &result, image.Pt(11, 11), 0, 0, gocv.BorderDefault) + return result +} + +// 调整亮度 +func (a *DataAugment) changeLight(img gocv.Mat) gocv.Mat { + defer img.Close() + // 生成一个在 [0.35, 1] 范围内的随机浮点数 + alpha := randomUniformFloat64(0.35, 1) + blank := gocv.NewMatWithSize(img.Rows(), img.Cols(), img.Type()) + defer blank.Close() // Ensure blank image is released + result := gocv.NewMat() + gocv.AddWeighted(img, alpha, blank, 1-alpha, 0, &result) + return result +} + +// 抠图 +func (a *DataAugment) cutout(img gocv.Mat, cells []Cell, length int, nHoles int, threshold float64) gocv.Mat { + defer img.Close() + if length == 0 { + length = 100 + } + if nHoles == 0 { + nHoles = 1 + } + if threshold == 0 { + threshold = 0.5 + } + h := img.Rows() + w := img.Cols() + + // 初始化遮罩 + mask := gocv.NewMatWithSize(h, w, gocv.MatTypeCV8UC3) + defer mask.Close() + mask.SetTo(gocv.NewScalar(255, 255, 255, 0)) // white mask + + rand.NewSource(time.Now().UnixNano()) + + for n := 0; n < nHoles; n++ { + overlap := true // 看切割的区域是否与box重叠太多 + var ( + x1, x2, y1, y2 int + ) + for overlap { + y := rand.Intn(h) + x := rand.Intn(w) + + // 定义要遮罩的区域 + y1 = max(0, y-length/2) + y2 = min(h, y+length/2) + x1 = max(0, x-length/2) + x2 = min(w, x+length/2) + + overlap = false + + maskRect := image.Rect(x1, y1, x2, y2) + for _, cell := range cells { + if iou(maskRect, cell.Rectangle) > threshold { + overlap = true + break + } + } + } + + // 蒙版 黑色矩形 遮挡区域 + gocv.Rectangle(&mask, image.Rect(x1, y1, x2, y2), color.RGBA{}, -1) + } + + // 应用蒙版到图像 + result := gocv.NewMat() + gocv.BitwiseAnd(img, mask, &result) + return result +} + +// 旋转 +func (a *DataAugment) rotateImageBBbox(img gocv.Mat, cells []Cell, angle int, scale float64) (gocv.Mat, []Cell) { + defer img.Close() + if angle == 0 { + angle = 5 + } + if scale == 0 { + scale = 1.0 + } + h := img.Rows() + w := img.Cols() + // 旋转角度 + rangle := float64(angle) * math.Pi / 180.0 + + // 计算新图像的宽度和高度 + nw := int(math.Abs(math.Sin(rangle)*float64(h)) + math.Abs(math.Cos(rangle)*float64(w))*scale) + nh := int(math.Abs(math.Cos(rangle)*float64(h)) + math.Abs(math.Sin(rangle)*float64(w))*scale) + + // 旋转矩阵 + rotMat := gocv.GetRotationMatrix2D(image.Point{X: nw / 2, Y: nh / 2}, float64(angle), scale) + defer rotMat.Close() + + // 结合旋转计算从旧中心到新中心的移动 + rotMove := []float64{float64(nw-w) * 0.5, float64(nh-h) * 0.5} + + // 更新旋转矩阵的平移部分 + rotMat.SetDoubleAt(0, 2, rotMat.GetDoubleAt(0, 2)+rotMove[0]) + rotMat.SetDoubleAt(1, 2, rotMat.GetDoubleAt(1, 2)+rotMove[1]) + + // 应用仿射扭曲来旋转图像 + rotatedImg := gocv.NewMat() + gocv.WarpAffine(img, &rotatedImg, rotMat, image.Point{X: nw, Y: nh}) + + // 调整边界框 + rotBBoxes := make([]Cell, 0, len(cells)) + for _, cell := range cells { + xmin, ymin, xmax, ymax := cell.Rectangle.Min.X, cell.Rectangle.Min.Y, cell.Rectangle.Max.X, cell.Rectangle.Max.Y + + // 计算边界框的四个角 + points := []gocv.Point2f{ + {X: float32((xmin + xmax) / 2), Y: float32(ymin)}, + {X: float32(xmax), Y: float32((ymin + ymax) / 2)}, + {X: float32((xmin + xmax) / 2), Y: float32(ymax)}, + {X: float32(xmin), Y: float32((ymin + ymax) / 2)}, + } + + // 将旋转矩阵应用于四个点 + rotatedPoints := make([]gocv.Point2f, 4) + for i, pt := range points { + x := float64(pt.X) + y := float64(pt.Y) + newX := rotMat.GetDoubleAt(0, 0)*x + rotMat.GetDoubleAt(0, 1)*y + rotMat.GetDoubleAt(0, 2) + newY := rotMat.GetDoubleAt(1, 0)*x + rotMat.GetDoubleAt(1, 1)*y + rotMat.GetDoubleAt(1, 2) + rotatedPoints[i] = gocv.Point2f{X: float32(newX), Y: float32(newY)} + } + + // 从旋转点获取新的边界框 + rxMin, ryMin := int(rotatedPoints[0].X), int(rotatedPoints[0].Y) + rxMax, ryMax := rxMin, ryMin + for _, pt := range rotatedPoints { + rxMin = int(math.Min(float64(rxMin), float64(pt.X))) + ryMin = int(math.Min(float64(ryMin), float64(pt.Y))) + rxMax = int(math.Max(float64(rxMax), float64(pt.X))) + ryMax = int(math.Max(float64(ryMax), float64(pt.Y))) + } + + // 将新的边界框附加到列表中 + rotBBoxes = append(rotBBoxes, Cell{LabelId: cell.LabelId, Rectangle: image.Rect(rxMin, ryMin, rxMax, ryMax)}) + } + + return rotatedImg, rotBBoxes +} + +// 裁剪 +func (a *DataAugment) cropImgAndBBoxes(img gocv.Mat, cells []Cell) (gocv.Mat, []Cell) { + defer img.Close() + h := img.Rows() + w := img.Cols() + + // 将裁剪坐标初始化为图像的边界 + xMin, xMax := w, 0 + yMin, yMax := h, 0 + + // 找到边界框的最小和最大坐标 + for _, cell := range cells { + xMin = min(xMin, cell.Rectangle.Min.X) + yMin = min(yMin, cell.Rectangle.Min.Y) + xMax = max(xMax, cell.Rectangle.Max.X) + yMax = max(yMax, cell.Rectangle.Max.Y) + } + + // 边界框到图像边缘的距离 + dToLeft := xMin + dToRight := w - xMax + dToTop := yMin + dToBottom := h - yMax + + // 随机扩大裁剪区域 + rand.NewSource(time.Now().UnixNano()) + cropXMin := int(float64(xMin) - rand.Float64()*float64(dToLeft)) + cropYMin := int(float64(yMin) - rand.Float64()*float64(dToTop)) + cropXMax := int(float64(xMax) + rand.Float64()*float64(dToRight)) + cropYMax := int(float64(yMax) + rand.Float64()*float64(dToBottom)) + + // 确保裁剪坐标不超出范围 + cropXMin = max(0, cropXMin) + cropYMin = max(0, cropYMin) + cropXMax = min(w, cropXMax) + cropYMax = min(h, cropYMax) + + // 裁剪图像 + croppedImg := img.Region(image.Rect(cropXMin, cropYMin, cropXMax, cropYMax)) + + // 调整边界框 + croppedBBoxes := make([]Cell, len(cells)) + for i, cell := range cells { + newXMin := cell.Rectangle.Min.X - cropXMin + newYMin := cell.Rectangle.Min.Y - cropYMin + newXMax := cell.Rectangle.Max.X - cropXMin + newYMax := cell.Rectangle.Max.Y - cropYMin + croppedBBoxes[i] = Cell{LabelId: cell.LabelId, Rectangle: image.Rect(newXMin, newYMin, newXMax, newYMax)} + } + + return croppedImg, croppedBBoxes +} + +// 平移 +func (a *DataAugment) shiftImgAndBBoxes(img gocv.Mat, cells []Cell) (gocv.Mat, []Cell) { + defer img.Close() + h := img.Rows() + w := img.Cols() + + // 初始化变量以查找包含所有框的边界框 + xMin, xMax := w, 0 + yMin, yMax := h, 0 + + // 找到边界框的最小和最大坐标 + for _, cell := range cells { + xMin = min(xMin, cell.Rectangle.Min.X) + yMin = min(yMin, cell.Rectangle.Min.Y) + xMax = max(xMax, cell.Rectangle.Max.X) + yMax = max(yMax, cell.Rectangle.Max.Y) + } + + // 计算最大移动距离 + dToLeft := xMin + dToRight := w - xMax + dToTop := yMin + dToBottom := h - yMax + + // 随机选择移位值 + rand.NewSource(time.Now().UnixNano()) + xShift := rand.Float64()*((float64(dToRight)-1)/3) - ((float64(dToLeft) - 1) / 3) + yShift := rand.Float64()*((float64(dToBottom)-1)/3) - ((float64(dToTop) - 1) / 3) + + // 定义用于平移的仿射变换矩阵 + M := gocv.NewMatWithSize(2, 3, gocv.MatTypeCV32F) + defer M.Close() + M.SetFloatAt(0, 0, 1) + M.SetFloatAt(0, 1, 0) + M.SetFloatAt(0, 2, float32(xShift)) + M.SetFloatAt(1, 0, 0) + M.SetFloatAt(1, 1, 1) + M.SetFloatAt(1, 2, float32(yShift)) + + // 应用仿射变换来移动图像 + shiftedImg := gocv.NewMat() + gocv.WarpAffine(img, &shiftedImg, M, image.Pt(w, h)) + + // 调整边界框 + shiftedBBoxes := make([]Cell, len(cells)) + for i, cell := range cells { + newXMin := int(float64(cell.Rectangle.Min.X) + xShift) + newYMin := int(float64(cell.Rectangle.Min.Y) + yShift) + newXMax := int(float64(cell.Rectangle.Max.X) + xShift) + newYMax := int(float64(cell.Rectangle.Max.Y) + yShift) + shiftedBBoxes[i] = Cell{LabelId: cell.LabelId, Rectangle: image.Rect(newXMin, newYMin, newXMax, newYMax)} + } + + return shiftedImg, shiftedBBoxes +} + +// 镜像 +func (a *DataAugment) flipImgAndBBoxes(img gocv.Mat, cells []Cell) (gocv.Mat, []Cell) { + defer img.Close() + h := img.Rows() + w := img.Cols() + + rand.NewSource(time.Now().UnixNano()) + sed := rand.Float64() + + var flipMode int + if sed < 0.33 { + flipMode = 0 // 0.33的概率水平翻转 + } else if sed < 0.66 { + flipMode = 1 // 0.33的概率垂直翻转 + } else { + flipMode = -1 // 0.33是对角反转 + } + + flipImg := gocv.NewMat() + gocv.Flip(img, &flipImg, flipMode) + + // 调整边界框 + flipBBoxes := make([]Cell, len(cells)) + for i, cell := range cells { + xMin := cell.Rectangle.Min.X + yMin := cell.Rectangle.Min.Y + xMax := cell.Rectangle.Max.X + yMax := cell.Rectangle.Max.Y + + if flipMode == 0 { + flipBBoxes[i] = Cell{LabelId: cell.LabelId, Rectangle: image.Rect(xMin, h-yMax, xMax, h-yMin)} + } else if flipMode == 1 { + flipBBoxes[i] = Cell{LabelId: cell.LabelId, Rectangle: image.Rect(w-xMax, yMin, w-xMin, yMax)} + } else { + flipBBoxes[i] = Cell{LabelId: cell.LabelId, Rectangle: image.Rect(w-xMax, h-yMax, w-xMin, h-yMin)} + } + } + + return flipImg, flipBBoxes +} + +func (a *DataAugment) Augment(img gocv.Mat, cells []Cell) (gocv.Mat, []Cell) { + rand.NewSource(time.Now().UnixNano()) + + if a.IsRotateImgBbox { + if rand.Float64() < a.RotationRate { // 旋转 + angle := randomUniformInt(-a.MaxRotationAngle, a.MaxRotationAngle) + scale := randomUniformFloat64(0.7, 0.8) + img, cells = a.rotateImageBBbox(img, cells, angle, scale) + } + } + + if a.IsShiftPicBBoxes { + if rand.Float64() < a.ShiftRate { // 平移 + img, cells = a.shiftImgAndBBoxes(img, cells) + } + } + + if a.IsChangeLight { + if rand.Float64() < a.ChangeLightRate { // 改变亮度 + img = a.changeLight(img) + } + } + + if a.IsAddNoise { + if rand.Float64() < a.AddNoiseRate { // 加噪声 + img = a.addNoise(img) + } + } + + if a.IsCutout { + if rand.Float64() < a.CutoutRate { // cutout + img = a.cutout(img, cells, a.CutOutLength, a.CutOutHoles, a.CutOutThreshold) + } + } + + if a.IsFlipPicBBoxes { + if rand.Float64() < a.FlipRate { // 翻转 + img, cells = a.flipImgAndBBoxes(img, cells) + } + } + + if a.IsCropImgBBoxes { + if rand.Float64() < a.CropRate { // 裁剪 + img, cells = a.cropImgAndBBoxes(img, cells) + } + } + + return img, cells +} diff --git a/function_test.go b/function_test.go new file mode 100644 index 0000000..1420980 --- /dev/null +++ b/function_test.go @@ -0,0 +1,68 @@ +package augment + +import ( + "gocv.io/x/gocv" + "image" + "image/color" + "os" + "testing" +) + +func TestAugment(t *testing.T) { + _color := color.RGBA{R: 255} + thickness := 2 + filename := "test.png" + cells := []Cell{ + {LabelId: 3, Rectangle: image.Rect(163, 317, 397, 523)}, + {LabelId: 5, Rectangle: image.Rect(65, 0, 689, 269)}, + {LabelId: 7, Rectangle: image.Rect(116, 3, 429, 268)}, + {LabelId: 4, Rectangle: image.Rect(425, 180, 720, 409)}, + } + img := gocv.IMRead(filename, gocv.IMReadColor) + defer img.Close() + augment := NewDataAugment() + //augment := &DataAugment{ + // RotationRate: 1, + // MaxRotationAngle: 5, + // CropRate: 1, + // ShiftRate: 1, + // ChangeLightRate: 1, + // AddNoiseRate: 1, + // FlipRate: 1, + // CutoutRate: 1, + // CutOutLength: 100, + // CutOutHoles: 1, + // CutOutThreshold: 0.5, + // IsAddNoise: false, // 噪声 success + // IsChangeLight: false, // 光照 success + // IsCutout: false, // 抠图 success + // IsRotateImgBbox: true, // 旋转 success + // IsCropImgBBoxes: false, // 裁剪 success + // IsShiftPicBBoxes: false, // 平移 success + // IsFlipPicBBoxes: false, // 翻转 success + //} + img, cells = augment.Augment(img, cells) + + //for i := 0; i < 2; i++ { + // mat := img.Clone() + // newImage, newCells := augment.Augment(mat, cells) + // for _, c := range newCells { + // gocv.Rectangle(&newImage, c.Rectangle, _color, thickness) + // } + // gocv.IMWrite(fmt.Sprintf("%d.png", i), newImage) + // newImage.Close() + //} + + t.Log(cells) + for _, cell := range cells { + gocv.Rectangle(&img, cell.Rectangle, _color, thickness) + } + showWin(img) +} + +func showWin(mat gocv.Mat) { + window := gocv.NewWindow("test") + window.IMShow(mat) + window.WaitKey(0) + os.Exit(1) +} diff --git a/go.mod b/go.mod new file mode 100644 index 0000000..bf97631 --- /dev/null +++ b/go.mod @@ -0,0 +1,5 @@ +module augment + +go 1.22 + +require gocv.io/x/gocv v0.36.1 diff --git a/go.sum b/go.sum new file mode 100644 index 0000000..f5c721f --- /dev/null +++ b/go.sum @@ -0,0 +1,2 @@ +gocv.io/x/gocv v0.36.1 h1:6XkEaPOk7h/umjy+MXgSEtSeCIgcPJhccUjrJFhjdTY= +gocv.io/x/gocv v0.36.1/go.mod h1:lmS802zoQmnNvXETpmGriBqWrENPei2GxYx5KUxJsMA= diff --git a/model.go b/model.go new file mode 100644 index 0000000..2c30734 --- /dev/null +++ b/model.go @@ -0,0 +1,122 @@ +package augment + +import "image" + +type DataAugment struct { + // 旋转相关参数 + RotationRate float64 // 旋转的概率 + MaxRotationAngle int // 最大旋转角度 + + // 裁剪相关参数 + CropRate float64 // 裁剪的概率 + + // 平移相关参数 + ShiftRate float64 // 平移的概率 + + // 改变光照相关参数 + ChangeLightRate float64 // 改变光照的概率 + + // 添加噪声相关参数 + AddNoiseRate float64 // 添加噪声的概率 + + // 翻转相关参数 + FlipRate float64 // 翻转的概率 + + // CutOut 相关参数 + CutoutRate float64 // CutOut 的概率 + CutOutLength int // CutOut 的长度 + CutOutHoles int // CutOut 的孔洞数量 + CutOutThreshold float64 // CutOut 的阈值 + + // 是否启用某种增强方式 + IsAddNoise bool // 是否启用添加噪声 + IsChangeLight bool // 是否启用改变光照 + IsCutout bool // 是否启用 CutOut + IsRotateImgBbox bool // 是否启用旋转 + IsCropImgBBoxes bool // 是否启用裁剪 + IsShiftPicBBoxes bool // 是否启用平移 + IsFlipPicBBoxes bool // 是否启用翻转 +} + +type Cell struct { + LabelId int + Rectangle image.Rectangle +} + +func NewDataAugment() *DataAugment { + return &DataAugment{ + RotationRate: 0.5, + MaxRotationAngle: 5, + CropRate: 0.5, + ShiftRate: 0.5, + ChangeLightRate: 0.5, + AddNoiseRate: 0.5, + FlipRate: 0.5, + CutoutRate: 0.5, + CutOutLength: 50, + CutOutHoles: 1, + CutOutThreshold: 0.5, + IsAddNoise: true, + IsChangeLight: true, + IsCutout: true, + IsRotateImgBbox: true, + IsCropImgBBoxes: true, + IsShiftPicBBoxes: true, + IsFlipPicBBoxes: false, + } +} + +func (a *DataAugment) SetRotationRate(rotationRate float64) { + a.RotationRate = rotationRate +} +func (a *DataAugment) SetMaxRotationAngle(maxRotationAngle int) { + a.MaxRotationAngle = maxRotationAngle +} +func (a *DataAugment) SetCropRate(cropRate float64) { + a.CropRate = cropRate +} +func (a *DataAugment) SetShiftRate(shiftRate float64) { + a.ShiftRate = shiftRate +} +func (a *DataAugment) SetChangeLightRate(changeLightRate float64) { + a.ChangeLightRate = changeLightRate +} +func (a *DataAugment) SetAddNoiseRate(addNoiseRate float64) { + a.AddNoiseRate = addNoiseRate +} +func (a *DataAugment) SetFlipRate(flipRate float64) { + a.FlipRate = flipRate +} +func (a *DataAugment) SetCutoutRate(cutoutRate float64) { + a.CutoutRate = cutoutRate +} +func (a *DataAugment) SetCutOutLength(cutOutLength int) { + a.CutOutLength = cutOutLength +} +func (a *DataAugment) SetCutOutHoles(cutOutHoles int) { + a.CutOutHoles = cutOutHoles +} +func (a *DataAugment) SetCutOutThreshold(cutOutThreshold float64) { + a.CutOutThreshold = cutOutThreshold +} +func (a *DataAugment) SetIsAddNoise(isAddNoise bool) { + a.IsAddNoise = isAddNoise +} +func (a *DataAugment) SetIsChangeLight(isChangeLight bool) { + a.IsChangeLight = isChangeLight +} +func (a *DataAugment) SetIsCutout(isCutout bool) { + a.IsCutout = isCutout +} +func (a *DataAugment) SetIsRotateImgBbox(isRotateImgBbox bool) { + a.IsRotateImgBbox = isRotateImgBbox +} +func (a *DataAugment) SetIsCropImgBBoxes(isCropImgBBoxes bool) { + a.IsCropImgBBoxes = isCropImgBBoxes +} +func (a *DataAugment) SetIsShiftPicBBoxes(isShiftPicBBoxes bool) { + a.IsShiftPicBBoxes = isShiftPicBBoxes +} +func (a *DataAugment) SetIsFlipPicBBoxes(isFlipPicBBoxes bool) { + a.IsFlipPicBBoxes = isFlipPicBBoxes +} diff --git a/test.png b/test.png 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