GOPROXY means we can avoid vendoring

14 files changed, 0 insertions, 2707 deletions

diff --git a/vendor/github.com/disintegration/imaging/.travis.yml b/vendor/github.com/disintegration/imaging/.travis.yml
deleted file mode 100644
index 89370ed..0000000
--- a/vendor/github.com/disintegration/imaging/.travis.yml
+++ /dev/null
@@ -1,13 +0,0 @@
-language: go
-go:
-  - "1.7.x"
-  - "1.8.x"
-  - "1.9.x"
-  - "1.10.x"
-
-before_install:
-  - go get github.com/mattn/goveralls
-
-script:
-  - go test -v -race -cover
-  - $GOPATH/bin/goveralls -service=travis-ci
diff --git a/vendor/github.com/disintegration/imaging/LICENSE b/vendor/github.com/disintegration/imaging/LICENSE
deleted file mode 100644
index c68f7ab..0000000
--- a/vendor/github.com/disintegration/imaging/LICENSE
+++ /dev/null
@@ -1,21 +0,0 @@
-The MIT License (MIT)
-
-Copyright (c) 2012-2018 Grigory Dryapak
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
\ No newline at end of file
diff --git a/vendor/github.com/disintegration/imaging/README.md b/vendor/github.com/disintegration/imaging/README.md
deleted file mode 100644
index c7ee30f..0000000
--- a/vendor/github.com/disintegration/imaging/README.md
+++ /dev/null
@@ -1,188 +0,0 @@
-# Imaging

-

-[![GoDoc](https://godoc.org/github.com/disintegration/imaging?status.svg)](https://godoc.org/github.com/disintegration/imaging)

-[![Build Status](https://travis-ci.org/disintegration/imaging.svg?branch=master)](https://travis-ci.org/disintegration/imaging)

-[![Coverage Status](https://coveralls.io/repos/github/disintegration/imaging/badge.svg?branch=master&service=github)](https://coveralls.io/github/disintegration/imaging?branch=master)

-[![Go Report Card](https://goreportcard.com/badge/github.com/disintegration/imaging)](https://goreportcard.com/report/github.com/disintegration/imaging)

-

-Package imaging provides basic image processing functions (resize, rotate, crop, brightness/contrast adjustments, etc.).

-

-All the image processing functions provided by the package accept any image type that implements `image.Image` interface

-as an input, and return a new image of `*image.NRGBA` type (32bit RGBA colors, not premultiplied by alpha).

-

-## Installation

-

-    go get -u github.com/disintegration/imaging

-    

-## Documentation

-

-http://godoc.org/github.com/disintegration/imaging

-

-## Usage examples

-

-A few usage examples can be found below. See the documentation for the full list of supported functions. 

-

-### Image resizing

-

-```go

-// Resize srcImage to size = 128x128px using the Lanczos filter.

-dstImage128 := imaging.Resize(srcImage, 128, 128, imaging.Lanczos)

-

-// Resize srcImage to width = 800px preserving the aspect ratio.

-dstImage800 := imaging.Resize(srcImage, 800, 0, imaging.Lanczos)

-

-// Scale down srcImage to fit the 800x600px bounding box.

-dstImageFit := imaging.Fit(srcImage, 800, 600, imaging.Lanczos)

-

-// Resize and crop the srcImage to fill the 100x100px area.

-dstImageFill := imaging.Fill(srcImage, 100, 100, imaging.Center, imaging.Lanczos)

-```

-

-Imaging supports image resizing using various resampling filters. The most notable ones:

-- `NearestNeighbor` - Fastest resampling filter, no antialiasing.

-- `Box` - Simple and fast averaging filter appropriate for downscaling. When upscaling it's similar to NearestNeighbor.

-- `Linear` - Bilinear filter, smooth and reasonably fast.

-- `MitchellNetravali` - А smooth bicubic filter.

-- `CatmullRom` - A sharp bicubic filter.

-- `Gaussian` - Blurring filter that uses gaussian function, useful for noise removal.

-- `Lanczos` - High-quality resampling filter for photographic images yielding sharp results, slower than cubic filters.

-

-The full list of supported filters:  NearestNeighbor, Box, Linear, Hermite, MitchellNetravali, CatmullRom, BSpline, Gaussian, Lanczos, Hann, Hamming, Blackman, Bartlett, Welch, Cosine. Custom filters can be created using ResampleFilter struct.

-

-**Resampling filters comparison**

-

-Original image:

-

-![srcImage](testdata/branches.png)

-

-The same image resized from 600x400px to 150x100px using different resampling filters.

-From faster (lower quality) to slower (higher quality):

-

-Filter                    | Resize result

---------------------------|---------------------------------------------

-`imaging.NearestNeighbor` | ![dstImage](testdata/out_resize_nearest.png) 

-`imaging.Linear`          | ![dstImage](testdata/out_resize_linear.png)

-`imaging.CatmullRom`      | ![dstImage](testdata/out_resize_catrom.png)

-`imaging.Lanczos`         | ![dstImage](testdata/out_resize_lanczos.png)

-

-

-### Gaussian Blur

-

-```go

-dstImage := imaging.Blur(srcImage, 0.5)

-```

-

-Sigma parameter allows to control the strength of the blurring effect.

-

-Original image                     | Sigma = 0.5                            | Sigma = 1.5

------------------------------------|----------------------------------------|---------------------------------------

-![srcImage](testdata/flowers_small.png) | ![dstImage](testdata/out_blur_0.5.png) | ![dstImage](testdata/out_blur_1.5.png)

-

-### Sharpening

-

-```go

-dstImage := imaging.Sharpen(srcImage, 0.5)

-```

-

-`Sharpen` uses gaussian function internally. Sigma parameter allows to control the strength of the sharpening effect.

-

-Original image                     | Sigma = 0.5                               | Sigma = 1.5

------------------------------------|-------------------------------------------|------------------------------------------

-![srcImage](testdata/flowers_small.png) | ![dstImage](testdata/out_sharpen_0.5.png) | ![dstImage](testdata/out_sharpen_1.5.png)

-

-### Gamma correction

-

-```go

-dstImage := imaging.AdjustGamma(srcImage, 0.75)

-```

-

-Original image                     | Gamma = 0.75                             | Gamma = 1.25

------------------------------------|------------------------------------------|-----------------------------------------

-![srcImage](testdata/flowers_small.png) | ![dstImage](testdata/out_gamma_0.75.png) | ![dstImage](testdata/out_gamma_1.25.png)

-

-### Contrast adjustment

-

-```go

-dstImage := imaging.AdjustContrast(srcImage, 20)

-```

-

-Original image                     | Contrast = 15                              | Contrast = -15

------------------------------------|--------------------------------------------|-------------------------------------------

-![srcImage](testdata/flowers_small.png) | ![dstImage](testdata/out_contrast_p15.png) | ![dstImage](testdata/out_contrast_m15.png)

-

-### Brightness adjustment

-

-```go

-dstImage := imaging.AdjustBrightness(srcImage, 20)

-```

-

-Original image                     | Brightness = 10                              | Brightness = -10

------------------------------------|----------------------------------------------|---------------------------------------------

-![srcImage](testdata/flowers_small.png) | ![dstImage](testdata/out_brightness_p10.png) | ![dstImage](testdata/out_brightness_m10.png)

-

-## Example code

-

-```go

-package main

-

-import (

-	"image"

-	"image/color"

-	"log"

-

-	"github.com/disintegration/imaging"

-)

-

-func main() {

-	// Open a test image.

-	src, err := imaging.Open("testdata/flowers.png")

-	if err != nil {

-		log.Fatalf("failed to open image: %v", err)

-	}

-

-	// Crop the original image to 300x300px size using the center anchor.

-	src = imaging.CropAnchor(src, 300, 300, imaging.Center)

-

-	// Resize the cropped image to width = 200px preserving the aspect ratio.

-	src = imaging.Resize(src, 200, 0, imaging.Lanczos)

-

-	// Create a blurred version of the image.

-	img1 := imaging.Blur(src, 5)

-

-	// Create a grayscale version of the image with higher contrast and sharpness.

-	img2 := imaging.Grayscale(src)

-	img2 = imaging.AdjustContrast(img2, 20)

-	img2 = imaging.Sharpen(img2, 2)

-

-	// Create an inverted version of the image.

-	img3 := imaging.Invert(src)

-

-	// Create an embossed version of the image using a convolution filter.

-	img4 := imaging.Convolve3x3(

-		src,

-		[9]float64{

-			-1, -1, 0,

-			-1, 1, 1,

-			0, 1, 1,

-		},

-		nil,

-	)

-

-	// Create a new image and paste the four produced images into it.

-	dst := imaging.New(400, 400, color.NRGBA{0, 0, 0, 0})

-	dst = imaging.Paste(dst, img1, image.Pt(0, 0))

-	dst = imaging.Paste(dst, img2, image.Pt(0, 200))

-	dst = imaging.Paste(dst, img3, image.Pt(200, 0))

-	dst = imaging.Paste(dst, img4, image.Pt(200, 200))

-

-	// Save the resulting image as JPEG.

-	err = imaging.Save(dst, "testdata/out_example.jpg")

-	if err != nil {

-		log.Fatalf("failed to save image: %v", err)

-	}

-}

-```

-

-Output:

-

-![dstImage](testdata/out_example.jpg)
\ No newline at end of file
diff --git a/vendor/github.com/disintegration/imaging/adjust.go b/vendor/github.com/disintegration/imaging/adjust.go
deleted file mode 100644
index fb3a9ce..0000000
--- a/vendor/github.com/disintegration/imaging/adjust.go
+++ /dev/null
@@ -1,222 +0,0 @@
-package imaging
-
-import (
-	"image"
-	"image/color"
-	"math"
-)
-
-// Grayscale produces a grayscale version of the image.
-func Grayscale(img image.Image) *image.NRGBA {
-	src := newScanner(img)
-	dst := image.NewNRGBA(image.Rect(0, 0, src.w, src.h))
-	parallel(0, src.h, func(ys <-chan int) {
-		for y := range ys {
-			i := y * dst.Stride
-			src.scan(0, y, src.w, y+1, dst.Pix[i:i+src.w*4])
-			for x := 0; x < src.w; x++ {
-				r := dst.Pix[i+0]
-				g := dst.Pix[i+1]
-				b := dst.Pix[i+2]
-				f := 0.299*float64(r) + 0.587*float64(g) + 0.114*float64(b)
-				y := uint8(f + 0.5)
-				dst.Pix[i+0] = y
-				dst.Pix[i+1] = y
-				dst.Pix[i+2] = y
-				i += 4
-			}
-		}
-	})
-	return dst
-}
-
-// Invert produces an inverted (negated) version of the image.
-func Invert(img image.Image) *image.NRGBA {
-	src := newScanner(img)
-	dst := image.NewNRGBA(image.Rect(0, 0, src.w, src.h))
-	parallel(0, src.h, func(ys <-chan int) {
-		for y := range ys {
-			i := y * dst.Stride
-			src.scan(0, y, src.w, y+1, dst.Pix[i:i+src.w*4])
-			for x := 0; x < src.w; x++ {
-				dst.Pix[i+0] = 255 - dst.Pix[i+0]
-				dst.Pix[i+1] = 255 - dst.Pix[i+1]
-				dst.Pix[i+2] = 255 - dst.Pix[i+2]
-				i += 4
-			}
-		}
-	})
-	return dst
-}
-
-// AdjustContrast changes the contrast of the image using the percentage parameter and returns the adjusted image.
-// The percentage must be in range (-100, 100). The percentage = 0 gives the original image.
-// The percentage = -100 gives solid gray image.
-//
-// Examples:
-//
-//	dstImage = imaging.AdjustContrast(srcImage, -10) // decrease image contrast by 10%
-//	dstImage = imaging.AdjustContrast(srcImage, 20) // increase image contrast by 20%
-//
-func AdjustContrast(img image.Image, percentage float64) *image.NRGBA {
-	percentage = math.Min(math.Max(percentage, -100.0), 100.0)
-	lut := make([]uint8, 256)
-
-	v := (100.0 + percentage) / 100.0
-	for i := 0; i < 256; i++ {
-		if 0 <= v && v <= 1 {
-			lut[i] = clamp((0.5 + (float64(i)/255.0-0.5)*v) * 255.0)
-		} else if 1 < v && v < 2 {
-			lut[i] = clamp((0.5 + (float64(i)/255.0-0.5)*(1/(2.0-v))) * 255.0)
-		} else {
-			lut[i] = uint8(float64(i)/255.0+0.5) * 255
-		}
-	}
-
-	return adjustLUT(img, lut)
-}
-
-// AdjustBrightness changes the brightness of the image using the percentage parameter and returns the adjusted image.
-// The percentage must be in range (-100, 100). The percentage = 0 gives the original image.
-// The percentage = -100 gives solid black image. The percentage = 100 gives solid white image.
-//
-// Examples:
-//
-//	dstImage = imaging.AdjustBrightness(srcImage, -15) // decrease image brightness by 15%
-//	dstImage = imaging.AdjustBrightness(srcImage, 10) // increase image brightness by 10%
-//
-func AdjustBrightness(img image.Image, percentage float64) *image.NRGBA {
-	percentage = math.Min(math.Max(percentage, -100.0), 100.0)
-	lut := make([]uint8, 256)
-
-	shift := 255.0 * percentage / 100.0
-	for i := 0; i < 256; i++ {
-		lut[i] = clamp(float64(i) + shift)
-	}
-
-	return adjustLUT(img, lut)
-}
-
-// AdjustGamma performs a gamma correction on the image and returns the adjusted image.
-// Gamma parameter must be positive. Gamma = 1.0 gives the original image.
-// Gamma less than 1.0 darkens the image and gamma greater than 1.0 lightens it.
-//
-// Example:
-//
-//	dstImage = imaging.AdjustGamma(srcImage, 0.7)
-//
-func AdjustGamma(img image.Image, gamma float64) *image.NRGBA {
-	e := 1.0 / math.Max(gamma, 0.0001)
-	lut := make([]uint8, 256)
-
-	for i := 0; i < 256; i++ {
-		lut[i] = clamp(math.Pow(float64(i)/255.0, e) * 255.0)
-	}
-
-	return adjustLUT(img, lut)
-}
-
-// AdjustSigmoid changes the contrast of the image using a sigmoidal function and returns the adjusted image.
-// It's a non-linear contrast change useful for photo adjustments as it preserves highlight and shadow detail.
-// The midpoint parameter is the midpoint of contrast that must be between 0 and 1, typically 0.5.
-// The factor parameter indicates how much to increase or decrease the contrast, typically in range (-10, 10).
-// If the factor parameter is positive the image contrast is increased otherwise the contrast is decreased.
-//
-// Examples:
-//
-//	dstImage = imaging.AdjustSigmoid(srcImage, 0.5, 3.0) // increase the contrast
-//	dstImage = imaging.AdjustSigmoid(srcImage, 0.5, -3.0) // decrease the contrast
-//
-func AdjustSigmoid(img image.Image, midpoint, factor float64) *image.NRGBA {
-	if factor == 0 {
-		return Clone(img)
-	}
-
-	lut := make([]uint8, 256)
-	a := math.Min(math.Max(midpoint, 0.0), 1.0)
-	b := math.Abs(factor)
-	sig0 := sigmoid(a, b, 0)
-	sig1 := sigmoid(a, b, 1)
-	e := 1.0e-6
-
-	if factor > 0 {
-		for i := 0; i < 256; i++ {
-			x := float64(i) / 255.0
-			sigX := sigmoid(a, b, x)
-			f := (sigX - sig0) / (sig1 - sig0)
-			lut[i] = clamp(f * 255.0)
-		}
-	} else {
-		for i := 0; i < 256; i++ {
-			x := float64(i) / 255.0
-			arg := math.Min(math.Max((sig1-sig0)*x+sig0, e), 1.0-e)
-			f := a - math.Log(1.0/arg-1.0)/b
-			lut[i] = clamp(f * 255.0)
-		}
-	}
-
-	return adjustLUT(img, lut)
-}
-
-func sigmoid(a, b, x float64) float64 {
-	return 1 / (1 + math.Exp(b*(a-x)))
-}
-
-// adjustLUT applies the given lookup table to the colors of the image.
-func adjustLUT(img image.Image, lut []uint8) *image.NRGBA {
-	src := newScanner(img)
-	dst := image.NewNRGBA(image.Rect(0, 0, src.w, src.h))
-	parallel(0, src.h, func(ys <-chan int) {
-		for y := range ys {
-			i := y * dst.Stride
-			src.scan(0, y, src.w, y+1, dst.Pix[i:i+src.w*4])
-			for x := 0; x < src.w; x++ {
-				dst.Pix[i+0] = lut[dst.Pix[i+0]]
-				dst.Pix[i+1] = lut[dst.Pix[i+1]]
-				dst.Pix[i+2] = lut[dst.Pix[i+2]]
-				i += 4
-			}
-		}
-	})
-	return dst
-}
-
-// AdjustFunc applies the fn function to each pixel of the img image and returns the adjusted image.
-//
-// Example:
-//
-//	dstImage = imaging.AdjustFunc(
-//		srcImage,
-//		func(c color.NRGBA) color.NRGBA {
-//			// shift the red channel by 16
-//			r := int(c.R) + 16
-//			if r > 255 {
-//				r = 255
-//			}
-//			return color.NRGBA{uint8(r), c.G, c.B, c.A}
-//		}
-//	)
-//
-func AdjustFunc(img image.Image, fn func(c color.NRGBA) color.NRGBA) *image.NRGBA {
-	src := newScanner(img)
-	dst := image.NewNRGBA(image.Rect(0, 0, src.w, src.h))
-	parallel(0, src.h, func(ys <-chan int) {
-		for y := range ys {
-			i := y * dst.Stride
-			src.scan(0, y, src.w, y+1, dst.Pix[i:i+src.w*4])
-			for x := 0; x < src.w; x++ {
-				r := dst.Pix[i+0]
-				g := dst.Pix[i+1]
-				b := dst.Pix[i+2]
-				a := dst.Pix[i+3]
-				c := fn(color.NRGBA{r, g, b, a})
-				dst.Pix[i+0] = c.R
-				dst.Pix[i+1] = c.G
-				dst.Pix[i+2] = c.B
-				dst.Pix[i+3] = c.A
-				i += 4
-			}
-		}
-	})
-	return dst
-}
diff --git a/vendor/github.com/disintegration/imaging/convolution.go b/vendor/github.com/disintegration/imaging/convolution.go
deleted file mode 100644
index 9e6404d..0000000
--- a/vendor/github.com/disintegration/imaging/convolution.go
+++ /dev/null
@@ -1,146 +0,0 @@
-package imaging
-
-import (
-	"image"
-)
-
-// ConvolveOptions are convolution parameters.
-type ConvolveOptions struct {
-	// If Normalize is true the kernel is normalized before convolution.
-	Normalize bool
-
-	// If Abs is true the absolute value of each color channel is taken after convolution.
-	Abs bool
-
-	// Bias is added to each color channel value after convolution.
-	Bias int
-}
-
-// Convolve3x3 convolves the image with the specified 3x3 convolution kernel.
-// Default parameters are used if a nil *ConvolveOptions is passed.
-func Convolve3x3(img image.Image, kernel [9]float64, options *ConvolveOptions) *image.NRGBA {
-	return convolve(img, kernel[:], options)
-}
-
-// Convolve5x5 convolves the image with the specified 5x5 convolution kernel.
-// Default parameters are used if a nil *ConvolveOptions is passed.
-func Convolve5x5(img image.Image, kernel [25]float64, options *ConvolveOptions) *image.NRGBA {
-	return convolve(img, kernel[:], options)
-}
-
-func convolve(img image.Image, kernel []float64, options *ConvolveOptions) *image.NRGBA {
-	src := toNRGBA(img)
-	w := src.Bounds().Max.X
-	h := src.Bounds().Max.Y
-	dst := image.NewNRGBA(image.Rect(0, 0, w, h))
-
-	if w < 1 || h < 1 {
-		return dst
-	}
-
-	if options == nil {
-		options = &ConvolveOptions{}
-	}
-
-	if options.Normalize {
-		normalizeKernel(kernel)
-	}
-
-	type coef struct {
-		x, y int
-		k    float64
-	}
-	var coefs []coef
-	var m int
-
-	switch len(kernel) {
-	case 9:
-		m = 1
-	case 25:
-		m = 2
-	}
-
-	i := 0
-	for y := -m; y <= m; y++ {
-		for x := -m; x <= m; x++ {
-			if kernel[i] != 0 {
-				coefs = append(coefs, coef{x: x, y: y, k: kernel[i]})
-			}
-			i++
-		}
-	}
-
-	parallel(0, h, func(ys <-chan int) {
-		for y := range ys {
-			for x := 0; x < w; x++ {
-				var r, g, b float64
-				for _, c := range coefs {
-					ix := x + c.x
-					if ix < 0 {
-						ix = 0
-					} else if ix >= w {
-						ix = w - 1
-					}
-
-					iy := y + c.y
-					if iy < 0 {
-						iy = 0
-					} else if iy >= h {
-						iy = h - 1
-					}
-
-					off := iy*src.Stride + ix*4
-					r += float64(src.Pix[off+0]) * c.k
-					g += float64(src.Pix[off+1]) * c.k
-					b += float64(src.Pix[off+2]) * c.k
-				}
-
-				if options.Abs {
-					if r < 0 {
-						r = -r
-					}
-					if g < 0 {
-						g = -g
-					}
-					if b < 0 {
-						b = -b
-					}
-				}
-
-				if options.Bias != 0 {
-					r += float64(options.Bias)
-					g += float64(options.Bias)
-					b += float64(options.Bias)
-				}
-
-				srcOff := y*src.Stride + x*4
-				dstOff := y*dst.Stride + x*4
-				dst.Pix[dstOff+0] = clamp(r)
-				dst.Pix[dstOff+1] = clamp(g)
-				dst.Pix[dstOff+2] = clamp(b)
-				dst.Pix[dstOff+3] = src.Pix[srcOff+3]
-			}
-		}
-	})
-
-	return dst
-}
-
-func normalizeKernel(kernel []float64) {
-	var sum, sumpos float64
-	for i := range kernel {
-		sum += kernel[i]
-		if kernel[i] > 0 {
-			sumpos += kernel[i]
-		}
-	}
-	if sum != 0 {
-		for i := range kernel {
-			kernel[i] /= sum
-		}
-	} else if sumpos != 0 {
-		for i := range kernel {
-			kernel[i] /= sumpos
-		}
-	}
-}
diff --git a/vendor/github.com/disintegration/imaging/doc.go b/vendor/github.com/disintegration/imaging/doc.go
deleted file mode 100644
index 5d59b46..0000000
--- a/vendor/github.com/disintegration/imaging/doc.go
+++ /dev/null
@@ -1,7 +0,0 @@
-/*
-Package imaging provides basic image processing functions (resize, rotate, crop, brightness/contrast adjustments, etc.).
-
-All the image processing functions provided by the package accept any image type that implements image.Image interface
-as an input, and return a new image of *image.NRGBA type (32bit RGBA colors, not premultiplied by alpha).
-*/
-package imaging
diff --git a/vendor/github.com/disintegration/imaging/effects.go b/vendor/github.com/disintegration/imaging/effects.go
deleted file mode 100644
index 149cfeb..0000000
--- a/vendor/github.com/disintegration/imaging/effects.go
+++ /dev/null
@@ -1,173 +0,0 @@
-package imaging
-
-import (
-	"image"
-	"math"
-)
-
-func gaussianBlurKernel(x, sigma float64) float64 {
-	return math.Exp(-(x*x)/(2*sigma*sigma)) / (sigma * math.Sqrt(2*math.Pi))
-}
-
-// Blur produces a blurred version of the image using a Gaussian function.
-// Sigma parameter must be positive and indicates how much the image will be blurred.
-//
-// Usage example:
-//
-//	dstImage := imaging.Blur(srcImage, 3.5)
-//
-func Blur(img image.Image, sigma float64) *image.NRGBA {
-	if sigma <= 0 {
-		return Clone(img)
-	}
-
-	radius := int(math.Ceil(sigma * 3.0))
-	kernel := make([]float64, radius+1)
-
-	for i := 0; i <= radius; i++ {
-		kernel[i] = gaussianBlurKernel(float64(i), sigma)
-	}
-
-	return blurVertical(blurHorizontal(img, kernel), kernel)
-}
-
-func blurHorizontal(img image.Image, kernel []float64) *image.NRGBA {
-	src := newScanner(img)
-	dst := image.NewNRGBA(image.Rect(0, 0, src.w, src.h))
-	radius := len(kernel) - 1
-
-	parallel(0, src.h, func(ys <-chan int) {
-		scanLine := make([]uint8, src.w*4)
-		scanLineF := make([]float64, len(scanLine))
-		for y := range ys {
-			src.scan(0, y, src.w, y+1, scanLine)
-			for i, v := range scanLine {
-				scanLineF[i] = float64(v)
-			}
-			for x, idx := 0, 0; x < src.w; x, idx = x+1, idx+4 {
-				min := x - radius
-				if min < 0 {
-					min = 0
-				}
-				max := x + radius
-				if max > src.w-1 {
-					max = src.w - 1
-				}
-
-				var r, g, b, a, wsum float64
-				for ix := min; ix <= max; ix++ {
-					i := ix * 4
-					weight := kernel[absint(x-ix)]
-					wsum += weight
-					wa := scanLineF[i+3] * weight
-					r += scanLineF[i+0] * wa
-					g += scanLineF[i+1] * wa
-					b += scanLineF[i+2] * wa
-					a += wa
-				}
-				if a != 0 {
-					r /= a
-					g /= a
-					b /= a
-				}
-
-				scanLine[idx+0] = clamp(r)
-				scanLine[idx+1] = clamp(g)
-				scanLine[idx+2] = clamp(b)
-				scanLine[idx+3] = clamp(a / wsum)
-			}
-			copy(dst.Pix[y*dst.Stride:], scanLine)
-		}
-	})
-
-	return dst
-}
-
-func blurVertical(img image.Image, kernel []float64) *image.NRGBA {
-	src := newScanner(img)
-	dst := image.NewNRGBA(image.Rect(0, 0, src.w, src.h))
-	radius := len(kernel) - 1
-
-	parallel(0, src.w, func(xs <-chan int) {
-		scanLine := make([]uint8, src.h*4)
-		scanLineF := make([]float64, len(scanLine))
-		for x := range xs {
-			src.scan(x, 0, x+1, src.h, scanLine)
-			for i, v := range scanLine {
-				scanLineF[i] = float64(v)
-			}
-			for y := 0; y < src.h; y++ {
-				min := y - radius
-				if min < 0 {
-					min = 0
-				}
-				max := y + radius
-				if max > src.h-1 {
-					max = src.h - 1
-				}
-
-				var r, g, b, a, wsum float64
-				for iy := min; iy <= max; iy++ {
-					i := iy * 4
-					weight := kernel[absint(y-iy)]
-					wsum += weight
-					wa := scanLineF[i+3] * weight
-					r += scanLineF[i+0] * wa
-					g += scanLineF[i+1] * wa
-					b += scanLineF[i+2] * wa
-					a += wa
-				}
-				if a != 0 {
-					r /= a
-					g /= a
-					b /= a
-				}
-
-				j := y*dst.Stride + x*4
-				dst.Pix[j+0] = clamp(r)
-				dst.Pix[j+1] = clamp(g)
-				dst.Pix[j+2] = clamp(b)
-				dst.Pix[j+3] = clamp(a / wsum)
-			}
-		}
-	})
-
-	return dst
-}
-
-// Sharpen produces a sharpened version of the image.
-// Sigma parameter must be positive and indicates how much the image will be sharpened.
-//
-// Usage example:
-//
-//	dstImage := imaging.Sharpen(srcImage, 3.5)
-//
-func Sharpen(img image.Image, sigma float64) *image.NRGBA {
-	if sigma <= 0 {
-		return Clone(img)
-	}
-
-	src := newScanner(img)
-	dst := image.NewNRGBA(image.Rect(0, 0, src.w, src.h))
-	blurred := Blur(img, sigma)
-
-	parallel(0, src.h, func(ys <-chan int) {
-		scanLine := make([]uint8, src.w*4)
-		for y := range ys {
-			src.scan(0, y, src.w, y+1, scanLine)
-			j := y * dst.Stride
-			for i := 0; i < src.w*4; i++ {
-				val := int(scanLine[i])<<1 - int(blurred.Pix[j])
-				if val < 0 {
-					val = 0
-				} else if val > 0xff {
-					val = 0xff
-				}
-				dst.Pix[j] = uint8(val)
-				j++
-			}
-		}
-	})
-
-	return dst
-}
diff --git a/vendor/github.com/disintegration/imaging/histogram.go b/vendor/github.com/disintegration/imaging/histogram.go
deleted file mode 100644
index 5bcb001..0000000
--- a/vendor/github.com/disintegration/imaging/histogram.go
+++ /dev/null
@@ -1,51 +0,0 @@
-package imaging
-
-import (
-	"image"
-	"sync"
-)
-
-// Histogram returns a normalized histogram of an image.
-//
-// Resulting histogram is represented as an array of 256 floats, where
-// histogram[i] is a probability of a pixel being of a particular luminance i.
-func Histogram(img image.Image) [256]float64 {
-	var mu sync.Mutex
-	var histogram [256]float64
-	var total float64
-
-	src := newScanner(img)
-	if src.w == 0 || src.h == 0 {
-		return histogram
-	}
-
-	parallel(0, src.h, func(ys <-chan int) {
-		var tmpHistogram [256]float64
-		var tmpTotal float64
-		scanLine := make([]uint8, src.w*4)
-		for y := range ys {
-			src.scan(0, y, src.w, y+1, scanLine)
-			i := 0
-			for x := 0; x < src.w; x++ {
-				r := scanLine[i+0]
-				g := scanLine[i+1]
-				b := scanLine[i+2]
-				y := 0.299*float32(r) + 0.587*float32(g) + 0.114*float32(b)
-				tmpHistogram[int(y+0.5)]++
-				tmpTotal++
-				i += 4
-			}
-		}
-		mu.Lock()
-		for i := 0; i < 256; i++ {
-			histogram[i] += tmpHistogram[i]
-		}
-		total += tmpTotal
-		mu.Unlock()
-	})
-
-	for i := 0; i < 256; i++ {
-		histogram[i] = histogram[i] / total
-	}
-	return histogram
-}
diff --git a/vendor/github.com/disintegration/imaging/io.go b/vendor/github.com/disintegration/imaging/io.go
deleted file mode 100644
index 557bf2f..0000000
--- a/vendor/github.com/disintegration/imaging/io.go
+++ /dev/null
@@ -1,463 +0,0 @@
-package imaging
-
-import (
-	"encoding/binary"
-	"errors"
-	"image"
-	"image/draw"
-	"image/gif"
-	"image/jpeg"
-	"image/png"
-	"io"
-	"io/ioutil"
-	"os"
-	"path/filepath"
-	"strings"
-
-	"golang.org/x/image/bmp"
-	"golang.org/x/image/tiff"
-)
-
-// Format is an image file format.
-type Format int
-
-// Image file formats.
-const (
-	JPEG Format = iota
-	PNG
-	GIF
-	TIFF
-	BMP
-)
-
-func (f Format) String() string {
-	switch f {
-	case JPEG:
-		return "JPEG"
-	case PNG:
-		return "PNG"
-	case GIF:
-		return "GIF"
-	case TIFF:
-		return "TIFF"
-	case BMP:
-		return "BMP"
-	default:
-		return "Unsupported"
-	}
-}
-
-var formatFromExt = map[string]Format{
-	"jpg":  JPEG,
-	"jpeg": JPEG,
-	"png":  PNG,
-	"tif":  TIFF,
-	"tiff": TIFF,
-	"bmp":  BMP,
-	"gif":  GIF,
-}
-
-// FormatFromExtension parses image format from extension:
-// "jpg" (or "jpeg"), "png", "gif", "tif" (or "tiff") and "bmp" are supported.
-func FormatFromExtension(ext string) (Format, error) {
-	if f, ok := formatFromExt[strings.ToLower(strings.TrimPrefix(ext, "."))]; ok {
-		return f, nil
-	}
-	return -1, ErrUnsupportedFormat
-}
-
-// FormatFromFilename parses image format from filename extension:
-// "jpg" (or "jpeg"), "png", "gif", "tif" (or "tiff") and "bmp" are supported.
-func FormatFromFilename(filename string) (Format, error) {
-	ext := filepath.Ext(filename)
-	return FormatFromExtension(ext)
-}
-
-var (
-	// ErrUnsupportedFormat means the given image format (or file extension) is unsupported.
-	ErrUnsupportedFormat = errors.New("imaging: unsupported image format")
-)
-
-type fileSystem interface {
-	Create(string) (io.WriteCloser, error)
-	Open(string) (io.ReadCloser, error)
-}
-
-type localFS struct{}
-
-func (localFS) Create(name string) (io.WriteCloser, error) { return os.Create(name) }
-func (localFS) Open(name string) (io.ReadCloser, error)    { return os.Open(name) }
-
-var fs fileSystem = localFS{}
-
-type decodeConfig struct {
-	autoOrientation bool
-}
-
-var defaultDecodeConfig = decodeConfig{
-	autoOrientation: false,
-}
-
-// DecodeOption sets an optional parameter for the Decode and Open functions.
-type DecodeOption func(*decodeConfig)
-
-// AutoOrientation returns a DecodeOption that sets the auto-orientation mode.
-// If auto-orientation is enabled, the image will be transformed after decoding
-// according to the EXIF orientation tag (if present). By default it's disabled.
-func AutoOrientation(enabled bool) DecodeOption {
-	return func(c *decodeConfig) {
-		c.autoOrientation = enabled
-	}
-}
-
-// Decode reads an image from r.
-func Decode(r io.Reader, opts ...DecodeOption) (image.Image, error) {
-	cfg := defaultDecodeConfig
-	for _, option := range opts {
-		option(&cfg)
-	}
-
-	if !cfg.autoOrientation {
-		img, _, err := image.Decode(r)
-		return img, err
-	}
-
-	var orient orientation
-	pr, pw := io.Pipe()
-	r = io.TeeReader(r, pw)
-	done := make(chan struct{})
-	go func() {
-		defer close(done)
-		orient = readOrientation(pr)
-		io.Copy(ioutil.Discard, pr)
-	}()
-
-	img, _, err := image.Decode(r)
-	pw