diff --git a/go.mod b/go.mod index dce152934c..656133ef40 100644 --- a/go.mod +++ b/go.mod @@ -46,7 +46,7 @@ require ( github.com/golang-jwt/jwt/v4 v4.5.0 github.com/golang/protobuf v1.5.4 github.com/google/go-cmp v0.6.0 - github.com/google/go-tika v0.3.0 + github.com/google/go-tika v0.3.1 github.com/google/uuid v1.6.0 github.com/gookit/config/v2 v2.2.5 github.com/gorilla/mux v1.8.1 diff --git a/go.sum b/go.sum index ba008989ff..d1cf89403c 100644 --- a/go.sum +++ b/go.sum @@ -1367,8 +1367,8 @@ github.com/google/go-pkcs11 v0.2.0/go.mod h1:6eQoGcuNJpa7jnd5pMGdkSaQpNDYvPlXWMc github.com/google/go-querystring v1.0.0/go.mod h1:odCYkC5MyYFN7vkCjXpyrEuKhc/BUO6wN/zVPAxq5ck= github.com/google/go-querystring v1.1.0 h1:AnCroh3fv4ZBgVIf1Iwtovgjaw/GiKJo8M8yD/fhyJ8= github.com/google/go-querystring v1.1.0/go.mod h1:Kcdr2DB4koayq7X8pmAG4sNG59So17icRSOU623lUBU= -github.com/google/go-tika v0.3.0 h1:JncwikDcIJrSwwoTjWg6NE7g3IW7XTrI6ZeeOGp03Y8= -github.com/google/go-tika v0.3.0/go.mod h1:k/Afo/0kDgo9g/9gjIIUBoDXgyGgYO3JAISqowoJdVE= +github.com/google/go-tika v0.3.1 h1:l+jr10hDhZjcgxFRfcQChRLo1bPXQeLFluMyvDhXTTA= +github.com/google/go-tika v0.3.1/go.mod h1:DJh5N8qxXIl85QkqmXknd+PeeRkUOTbvwyYf7ieDz6c= github.com/google/gofuzz v1.0.0/go.mod h1:dBl0BpW6vV/+mYPU4Po3pmUjxk6FQPldtuIdl/M65Eg= github.com/google/martian v2.1.0+incompatible/go.mod h1:9I4somxYTbIHy5NJKHRl3wXiIaQGbYVAs8BPL6v8lEs= github.com/google/martian/v3 v3.0.0/go.mod h1:y5Zk1BBys9G+gd6Jrk0W3cC1+ELVxBWuIGO+w/tUAp0= @@ -2322,6 +2322,7 @@ golang.org/x/net v0.12.0/go.mod h1:zEVYFnQC7m/vmpQFELhcD1EWkZlX69l4oqgmer6hfKA= golang.org/x/net v0.14.0/go.mod h1:PpSgVXXLK0OxS0F31C1/tv6XNguvCrnXIDrFMspZIUI= golang.org/x/net v0.21.0/go.mod h1:bIjVDfnllIU7BJ2DNgfnXvpSvtn8VRwhlsaeUTyUS44= golang.org/x/net v0.22.0/go.mod h1:JKghWKKOSdJwpW2GEx0Ja7fmaKnMsbu+MWVZTokSYmg= +golang.org/x/net v0.23.0/go.mod h1:JKghWKKOSdJwpW2GEx0Ja7fmaKnMsbu+MWVZTokSYmg= golang.org/x/net v0.24.0 h1:1PcaxkF854Fu3+lvBIx5SYn9wRlBzzcnHZSiaFFAb0w= golang.org/x/net v0.24.0/go.mod h1:2Q7sJY5mzlzWjKtYUEXSlBWCdyaioyXzRB2RtU8KVE8= golang.org/x/oauth2 v0.0.0-20180821212333-d2e6202438be/go.mod h1:N/0e6XlmueqKjAGxoOufVs8QHGRruUQn6yWY3a++T0U= diff --git a/vendor/github.com/kovidgoyal/imaging/README.md b/vendor/github.com/kovidgoyal/imaging/README.md index 7ca37e4090..5343a4c1ae 100644 --- a/vendor/github.com/kovidgoyal/imaging/README.md +++ b/vendor/github.com/kovidgoyal/imaging/README.md @@ -1,231 +1,231 @@ -# 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, non-premultiplied alpha). - -## Installation - - go get -u github.com/kovidgoyal/imaging - -## Documentation - -https://pkg.go.dev/github.com/kovidgoyal/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: -- `Lanczos` - A high-quality resampling filter for photographic images yielding sharp results. -- `CatmullRom` - A sharp cubic filter that is faster than Lanczos filter while providing similar results. -- `MitchellNetravali` - A cubic filter that produces smoother results with less ringing artifacts than CatmullRom. -- `Linear` - Bilinear resampling filter, produces smooth output. Faster than cubic filters. -- `Box` - Simple and fast averaging filter appropriate for downscaling. When upscaling it's similar to NearestNeighbor. -- `NearestNeighbor` - Fastest resampling filter, no antialiasing. - -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) - -### Saturation adjustment - -```go -dstImage := imaging.AdjustSaturation(srcImage, 20) -``` - -Original image | Saturation = 30 | Saturation = -30 ------------------------------------|----------------------------------------------|--------------------------------------------- -![srcImage](testdata/flowers_small.png) | ![dstImage](testdata/out_saturation_p30.png) | ![dstImage](testdata/out_saturation_m30.png) - -### Hue adjustment - -```go -dstImage := imaging.AdjustHue(srcImage, 20) -``` - -Original image | Hue = 60 | Hue = -60 ------------------------------------|----------------------------------------------|--------------------------------------------- -![srcImage](testdata/flowers_small.png) | ![dstImage](testdata/out_hue_p60.png) | ![dstImage](testdata/out_hue_m60.png) - -## FAQ - -### Incorrect image orientation after processing (e.g. an image appears rotated after resizing) - -Most probably, the given image contains the EXIF orientation tag. -The standard `image/*` packages do not support loading and saving -this kind of information. To fix the issue, try opening images with -the `AutoOrientation` decode option. If this option is set to `true`, -the image orientation is changed after decoding, according to the -orientation tag (if present). Here's the example: - -```go -img, err := imaging.Open("test.jpg", imaging.AutoOrientation(true)) -``` - -### What's the difference between `imaging` and `gift` packages? - -[imaging](https://github.com/kovidgoyal/imaging) -is designed to be a lightweight and simple image manipulation package. -It provides basic image processing functions and a few helper functions -such as `Open` and `Save`. It consistently returns *image.NRGBA image -type (8 bits per channel, RGBA). - -[gift](https://github.com/disintegration/gift) -supports more advanced image processing, for example, sRGB/Linear color -space conversions. It also supports different output image types -(e.g. 16 bits per channel) and provides easy-to-use API for chaining -multiple processing steps together. - -## Example code - -```go -package main - -import ( - "image" - "image/color" - "log" - - "github.com/kovidgoyal/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) +# 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, non-premultiplied alpha). + +## Installation + + go get -u github.com/kovidgoyal/imaging + +## Documentation + +https://pkg.go.dev/github.com/kovidgoyal/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: +- `Lanczos` - A high-quality resampling filter for photographic images yielding sharp results. +- `CatmullRom` - A sharp cubic filter that is faster than Lanczos filter while providing similar results. +- `MitchellNetravali` - A cubic filter that produces smoother results with less ringing artifacts than CatmullRom. +- `Linear` - Bilinear resampling filter, produces smooth output. Faster than cubic filters. +- `Box` - Simple and fast averaging filter appropriate for downscaling. When upscaling it's similar to NearestNeighbor. +- `NearestNeighbor` - Fastest resampling filter, no antialiasing. + +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) + +### Saturation adjustment + +```go +dstImage := imaging.AdjustSaturation(srcImage, 20) +``` + +Original image | Saturation = 30 | Saturation = -30 +-----------------------------------|----------------------------------------------|--------------------------------------------- +![srcImage](testdata/flowers_small.png) | ![dstImage](testdata/out_saturation_p30.png) | ![dstImage](testdata/out_saturation_m30.png) + +### Hue adjustment + +```go +dstImage := imaging.AdjustHue(srcImage, 20) +``` + +Original image | Hue = 60 | Hue = -60 +-----------------------------------|----------------------------------------------|--------------------------------------------- +![srcImage](testdata/flowers_small.png) | ![dstImage](testdata/out_hue_p60.png) | ![dstImage](testdata/out_hue_m60.png) + +## FAQ + +### Incorrect image orientation after processing (e.g. an image appears rotated after resizing) + +Most probably, the given image contains the EXIF orientation tag. +The standard `image/*` packages do not support loading and saving +this kind of information. To fix the issue, try opening images with +the `AutoOrientation` decode option. If this option is set to `true`, +the image orientation is changed after decoding, according to the +orientation tag (if present). Here's the example: + +```go +img, err := imaging.Open("test.jpg", imaging.AutoOrientation(true)) +``` + +### What's the difference between `imaging` and `gift` packages? + +[imaging](https://github.com/kovidgoyal/imaging) +is designed to be a lightweight and simple image manipulation package. +It provides basic image processing functions and a few helper functions +such as `Open` and `Save`. It consistently returns *image.NRGBA image +type (8 bits per channel, RGBA). + +[gift](https://github.com/disintegration/gift) +supports more advanced image processing, for example, sRGB/Linear color +space conversions. It also supports different output image types +(e.g. 16 bits per channel) and provides easy-to-use API for chaining +multiple processing steps together. + +## Example code + +```go +package main + +import ( + "image" + "image/color" + "log" + + "github.com/kovidgoyal/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) diff --git a/vendor/modules.txt b/vendor/modules.txt index a6fe0ee913..d65c561854 100644 --- a/vendor/modules.txt +++ b/vendor/modules.txt @@ -1104,7 +1104,7 @@ github.com/google/go-cmp/cmp/internal/value # github.com/google/go-querystring v1.1.0 ## explicit; go 1.10 github.com/google/go-querystring/query -# github.com/google/go-tika v0.3.0 +# github.com/google/go-tika v0.3.1 ## explicit; go 1.11 github.com/google/go-tika/tika # github.com/google/pprof v0.0.0-20210720184732-4bb14d4b1be1