mirror of
https://github.com/superseriousbusiness/gotosocial
synced 2024-12-25 15:52:39 +01:00
a48cce82b9
* [chore] Bump tooling versions, bump go -> v1.23.0 * undo silly change * sign * bump go version in go.mod * allow overflow in imaging * goreleaser deprecation notices * [chore] Upgrade golangci-lint, ignore existing int overflow warnings There is a new lint for unchecked int casts. Integer overflows are bad, but the old code that triggers this lint seems to be perfectly fine. Instead of disabling the lint entirely for new code as well, grandfather in existing code. * fix golangci-lint documentation link * revert unrelated changes * revert another unrelated change * get rid of remaining nolint:gosec * swagger updates * apply review feedback * fix wrong formatting specifier thing * fix the linter for real --------- Co-authored-by: tobi <tobi.smethurst@protonmail.com>
624 lines
14 KiB
Go
624 lines
14 KiB
Go
// GoToSocial
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// Copyright (C) GoToSocial Authors admin@gotosocial.org
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// SPDX-License-Identifier: AGPL-3.0-or-later
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//
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// This program is free software: you can redistribute it and/or modify
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// it under the terms of the GNU Affero General Public License as published by
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// the Free Software Foundation, either version 3 of the License, or
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// (at your option) any later version.
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//
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// This program is distributed in the hope that it will be useful,
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// but WITHOUT ANY WARRANTY; without even the implied warranty of
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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// GNU Affero General Public License for more details.
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//
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// You should have received a copy of the GNU Affero General Public License
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// along with this program. If not, see <http://www.gnu.org/licenses/>.
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package media
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import (
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"image"
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"image/color"
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"math"
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)
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// NOTE:
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// the following code is borrowed from
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// github.com/disintegration/imaging
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// and collapses in some places for our
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// particular usecases and with parallel()
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// function (spans work across goroutines)
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// removed, instead working synchronously.
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//
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// at gotosocial we take particular
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// care about where we spawn goroutines
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// to ensure we're in control of the
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// amount of concurrency in relation
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// to the amount configured by user.
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// resizeDownLinear resizes image to given width x height using linear resampling.
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// This is specifically optimized for resizing down (i.e. smaller), else is noop.
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func resizeDownLinear(img image.Image, width, height int) image.Image {
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srcW, srcH := img.Bounds().Dx(), img.Bounds().Dy()
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if srcW <= 0 || srcH <= 0 ||
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width < 0 || height < 0 {
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return &image.NRGBA{}
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}
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if width == 0 {
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// If no width is given, use aspect preserving width.
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tmp := float64(height) * float64(srcW) / float64(srcH)
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width = int(math.Max(1.0, math.Floor(tmp+0.5)))
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}
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if height == 0 {
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// If no height is given, use aspect preserving height.
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tmp := float64(width) * float64(srcH) / float64(srcW)
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height = int(math.Max(1.0, math.Floor(tmp+0.5)))
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}
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if width < srcW {
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// Width is smaller, resize horizontally.
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img = resizeHorizontalLinear(img, width)
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}
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if height < srcH {
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// Height is smaller, resize vertically.
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img = resizeVerticalLinear(img, height)
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}
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return img
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}
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// flipH flips the image horizontally (left to right).
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func flipH(img image.Image) image.Image {
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src := newScanner(img)
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dstW := src.w
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dstH := src.h
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rowSize := dstW * 4
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dst := image.NewNRGBA(image.Rect(0, 0, dstW, dstH))
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for y := 0; y < dstH; y++ {
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i := y * dst.Stride
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srcY := y
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src.scan(0, srcY, src.w, srcY+1, dst.Pix[i:i+rowSize])
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reverse(dst.Pix[i : i+rowSize])
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}
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return dst
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}
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// flipV flips the image vertically (from top to bottom).
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func flipV(img image.Image) image.Image {
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src := newScanner(img)
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dstW := src.w
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dstH := src.h
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rowSize := dstW * 4
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dst := image.NewNRGBA(image.Rect(0, 0, dstW, dstH))
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for y := 0; y < dstH; y++ {
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i := y * dst.Stride
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srcY := dstH - y - 1
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src.scan(0, srcY, src.w, srcY+1, dst.Pix[i:i+rowSize])
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}
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return dst
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}
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// rotate90 rotates the image 90 counter-clockwise.
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func rotate90(img image.Image) image.Image {
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src := newScanner(img)
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dstW := src.h
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dstH := src.w
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rowSize := dstW * 4
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dst := image.NewNRGBA(image.Rect(0, 0, dstW, dstH))
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for y := 0; y < dstH; y++ {
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i := y * dst.Stride
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srcX := dstH - y - 1
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src.scan(srcX, 0, srcX+1, src.h, dst.Pix[i:i+rowSize])
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}
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return dst
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}
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// rotate180 rotates the image 180 counter-clockwise.
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func rotate180(img image.Image) image.Image {
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src := newScanner(img)
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dstW := src.w
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dstH := src.h
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rowSize := dstW * 4
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dst := image.NewNRGBA(image.Rect(0, 0, dstW, dstH))
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for y := 0; y < dstH; y++ {
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i := y * dst.Stride
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srcY := dstH - y - 1
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src.scan(0, srcY, src.w, srcY+1, dst.Pix[i:i+rowSize])
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reverse(dst.Pix[i : i+rowSize])
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}
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return dst
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}
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// rotate270 rotates the image 270 counter-clockwise.
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func rotate270(img image.Image) image.Image {
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src := newScanner(img)
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dstW := src.h
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dstH := src.w
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rowSize := dstW * 4
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dst := image.NewNRGBA(image.Rect(0, 0, dstW, dstH))
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for y := 0; y < dstH; y++ {
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i := y * dst.Stride
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srcX := y
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src.scan(srcX, 0, srcX+1, src.h, dst.Pix[i:i+rowSize])
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reverse(dst.Pix[i : i+rowSize])
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}
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return dst
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}
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// transpose flips the image horizontally and rotates 90 counter-clockwise.
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func transpose(img image.Image) image.Image {
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src := newScanner(img)
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dstW := src.h
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dstH := src.w
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rowSize := dstW * 4
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dst := image.NewNRGBA(image.Rect(0, 0, dstW, dstH))
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for y := 0; y < dstH; y++ {
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i := y * dst.Stride
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srcX := y
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src.scan(srcX, 0, srcX+1, src.h, dst.Pix[i:i+rowSize])
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}
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return dst
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}
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// transverse flips the image vertically and rotates 90 counter-clockwise.
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func transverse(img image.Image) image.Image {
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src := newScanner(img)
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dstW := src.h
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dstH := src.w
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rowSize := dstW * 4
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dst := image.NewNRGBA(image.Rect(0, 0, dstW, dstH))
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for y := 0; y < dstH; y++ {
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i := y * dst.Stride
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srcX := dstH - y - 1
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src.scan(srcX, 0, srcX+1, src.h, dst.Pix[i:i+rowSize])
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reverse(dst.Pix[i : i+rowSize])
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}
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return dst
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}
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// resizeHorizontalLinear resizes image to given width using linear resampling.
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func resizeHorizontalLinear(img image.Image, dstWidth int) image.Image {
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src := newScanner(img)
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dst := image.NewRGBA(image.Rect(0, 0, dstWidth, src.h))
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weights := precomputeWeightsLinear(dstWidth, src.w)
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scanLine := make([]uint8, src.w*4)
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for y := 0; y < src.h; y++ {
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src.scan(0, y, src.w, y+1, scanLine)
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j0 := y * dst.Stride
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for x := range weights {
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var r, g, b, a float64
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for _, w := range weights[x] {
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i := w.index * 4
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s := scanLine[i : i+4 : i+4]
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aw := float64(s[3]) * w.weight
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r += float64(s[0]) * aw
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g += float64(s[1]) * aw
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b += float64(s[2]) * aw
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a += aw
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}
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if a != 0 {
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aInv := 1 / a
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j := j0 + x*4
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d := dst.Pix[j : j+4 : j+4]
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d[0] = clampFloat(r * aInv)
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d[1] = clampFloat(g * aInv)
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d[2] = clampFloat(b * aInv)
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d[3] = clampFloat(a)
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}
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}
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}
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return dst
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}
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// resizeVerticalLinear resizes image to given height using linear resampling.
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func resizeVerticalLinear(img image.Image, height int) image.Image {
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src := newScanner(img)
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dst := image.NewNRGBA(image.Rect(0, 0, src.w, height))
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weights := precomputeWeightsLinear(height, src.h)
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scanLine := make([]uint8, src.h*4)
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for x := 0; x < src.w; x++ {
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src.scan(x, 0, x+1, src.h, scanLine)
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for y := range weights {
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var r, g, b, a float64
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for _, w := range weights[y] {
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i := w.index * 4
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s := scanLine[i : i+4 : i+4]
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aw := float64(s[3]) * w.weight
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r += float64(s[0]) * aw
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g += float64(s[1]) * aw
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b += float64(s[2]) * aw
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a += aw
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}
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if a != 0 {
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aInv := 1 / a
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j := y*dst.Stride + x*4
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d := dst.Pix[j : j+4 : j+4]
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d[0] = clampFloat(r * aInv)
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d[1] = clampFloat(g * aInv)
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d[2] = clampFloat(b * aInv)
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d[3] = clampFloat(a)
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}
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}
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}
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return dst
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}
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type indexWeight struct {
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index int
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weight float64
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}
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func precomputeWeightsLinear(dstSize, srcSize int) [][]indexWeight {
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du := float64(srcSize) / float64(dstSize)
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scale := du
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if scale < 1.0 {
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scale = 1.0
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}
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ru := math.Ceil(scale)
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out := make([][]indexWeight, dstSize)
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tmp := make([]indexWeight, 0, dstSize*int(ru+2)*2)
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for v := 0; v < dstSize; v++ {
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fu := (float64(v)+0.5)*du - 0.5
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begin := int(math.Ceil(fu - ru))
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if begin < 0 {
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begin = 0
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}
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end := int(math.Floor(fu + ru))
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if end > srcSize-1 {
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end = srcSize - 1
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}
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var sum float64
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for u := begin; u <= end; u++ {
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w := resampleLinear((float64(u) - fu) / scale)
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if w != 0 {
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sum += w
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tmp = append(tmp, indexWeight{index: u, weight: w})
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}
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}
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if sum != 0 {
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for i := range tmp {
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tmp[i].weight /= sum
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}
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}
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out[v] = tmp
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tmp = tmp[len(tmp):]
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}
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return out
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}
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// resampleLinear is the resample kernel func for linear filtering.
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func resampleLinear(x float64) float64 {
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x = math.Abs(x)
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if x < 1.0 {
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return 1.0 - x
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}
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return 0
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}
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// scanner wraps an image.Image for
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// easier size access and image type
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// agnostic access to data at coords.
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type scanner struct {
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image image.Image
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w, h int
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palette []color.NRGBA
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}
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// newScanner wraps an image.Image in scanner{} type.
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func newScanner(img image.Image) *scanner {
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b := img.Bounds()
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s := &scanner{
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image: img,
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w: b.Dx(),
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h: b.Dy(),
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}
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if img, ok := img.(*image.Paletted); ok {
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s.palette = make([]color.NRGBA, len(img.Palette))
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for i := 0; i < len(img.Palette); i++ {
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s.palette[i] = color.NRGBAModel.Convert(img.Palette[i]).(color.NRGBA)
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}
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}
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return s
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}
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// scan scans the given rectangular region of the image into dst.
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func (s *scanner) scan(x1, y1, x2, y2 int, dst []uint8) {
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switch img := s.image.(type) {
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case *image.NRGBA:
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size := (x2 - x1) * 4
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j := 0
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i := y1*img.Stride + x1*4
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if size == 4 {
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for y := y1; y < y2; y++ {
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d := dst[j : j+4 : j+4]
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s := img.Pix[i : i+4 : i+4]
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d[0] = s[0]
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d[1] = s[1]
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d[2] = s[2]
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d[3] = s[3]
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j += size
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i += img.Stride
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}
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} else {
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for y := y1; y < y2; y++ {
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copy(dst[j:j+size], img.Pix[i:i+size])
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j += size
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i += img.Stride
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}
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}
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case *image.NRGBA64:
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j := 0
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for y := y1; y < y2; y++ {
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i := y*img.Stride + x1*8
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for x := x1; x < x2; x++ {
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s := img.Pix[i : i+8 : i+8]
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d := dst[j : j+4 : j+4]
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d[0] = s[0]
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d[1] = s[2]
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d[2] = s[4]
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d[3] = s[6]
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j += 4
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i += 8
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}
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}
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case *image.RGBA:
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j := 0
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for y := y1; y < y2; y++ {
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i := y*img.Stride + x1*4
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for x := x1; x < x2; x++ {
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d := dst[j : j+4 : j+4]
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a := img.Pix[i+3]
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switch a {
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case 0:
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d[0] = 0
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d[1] = 0
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d[2] = 0
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d[3] = a
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case 0xff:
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s := img.Pix[i : i+4 : i+4]
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d[0] = s[0]
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d[1] = s[1]
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d[2] = s[2]
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d[3] = a
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default:
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s := img.Pix[i : i+4 : i+4]
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r16 := uint16(s[0])
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g16 := uint16(s[1])
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b16 := uint16(s[2])
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a16 := uint16(a)
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d[0] = uint8(r16 * 0xff / a16) // #nosec G115 -- Overflow desired.
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d[1] = uint8(g16 * 0xff / a16) // #nosec G115 -- Overflow desired.
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d[2] = uint8(b16 * 0xff / a16) // #nosec G115 -- Overflow desired.
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d[3] = a
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}
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j += 4
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i += 4
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}
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}
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case *image.RGBA64:
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j := 0
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for y := y1; y < y2; y++ {
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i := y*img.Stride + x1*8
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for x := x1; x < x2; x++ {
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s := img.Pix[i : i+8 : i+8]
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d := dst[j : j+4 : j+4]
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a := s[6]
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switch a {
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case 0:
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d[0] = 0
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d[1] = 0
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d[2] = 0
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case 0xff:
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d[0] = s[0]
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d[1] = s[2]
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d[2] = s[4]
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default:
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r32 := uint32(s[0])<<8 | uint32(s[1])
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g32 := uint32(s[2])<<8 | uint32(s[3])
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b32 := uint32(s[4])<<8 | uint32(s[5])
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a32 := uint32(s[6])<<8 | uint32(s[7])
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d[0] = uint8((r32 * 0xffff / a32) >> 8) // #nosec G115 -- Overflow desired.
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d[1] = uint8((g32 * 0xffff / a32) >> 8) // #nosec G115 -- Overflow desired.
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d[2] = uint8((b32 * 0xffff / a32) >> 8) // #nosec G115 -- Overflow desired.
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}
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d[3] = a
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j += 4
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i += 8
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}
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}
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case *image.Gray:
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j := 0
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for y := y1; y < y2; y++ {
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i := y*img.Stride + x1
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for x := x1; x < x2; x++ {
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c := img.Pix[i]
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d := dst[j : j+4 : j+4]
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d[0] = c
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d[1] = c
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d[2] = c
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d[3] = 0xff
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j += 4
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i++
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}
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}
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case *image.Gray16:
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j := 0
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for y := y1; y < y2; y++ {
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i := y*img.Stride + x1*2
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for x := x1; x < x2; x++ {
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c := img.Pix[i]
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d := dst[j : j+4 : j+4]
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d[0] = c
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d[1] = c
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d[2] = c
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d[3] = 0xff
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j += 4
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i += 2
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}
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}
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case *image.YCbCr:
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j := 0
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x1 += img.Rect.Min.X
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x2 += img.Rect.Min.X
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y1 += img.Rect.Min.Y
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y2 += img.Rect.Min.Y
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hy := img.Rect.Min.Y / 2
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hx := img.Rect.Min.X / 2
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for y := y1; y < y2; y++ {
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iy := (y-img.Rect.Min.Y)*img.YStride + (x1 - img.Rect.Min.X)
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var yBase int
|
|
switch img.SubsampleRatio {
|
|
case image.YCbCrSubsampleRatio444, image.YCbCrSubsampleRatio422:
|
|
yBase = (y - img.Rect.Min.Y) * img.CStride
|
|
case image.YCbCrSubsampleRatio420, image.YCbCrSubsampleRatio440:
|
|
yBase = (y/2 - hy) * img.CStride
|
|
}
|
|
|
|
for x := x1; x < x2; x++ {
|
|
var ic int
|
|
switch img.SubsampleRatio {
|
|
case image.YCbCrSubsampleRatio444, image.YCbCrSubsampleRatio440:
|
|
ic = yBase + (x - img.Rect.Min.X)
|
|
case image.YCbCrSubsampleRatio422, image.YCbCrSubsampleRatio420:
|
|
ic = yBase + (x/2 - hx)
|
|
default:
|
|
ic = img.COffset(x, y)
|
|
}
|
|
|
|
yy1 := int32(img.Y[iy]) * 0x10101
|
|
cb1 := int32(img.Cb[ic]) - 128
|
|
cr1 := int32(img.Cr[ic]) - 128
|
|
|
|
r := yy1 + 91881*cr1
|
|
if uint32(r)&0xff000000 == 0 { //nolint:gosec
|
|
r >>= 16
|
|
} else {
|
|
r = ^(r >> 31)
|
|
}
|
|
|
|
g := yy1 - 22554*cb1 - 46802*cr1
|
|
if uint32(g)&0xff000000 == 0 { //nolint:gosec
|
|
g >>= 16
|
|
} else {
|
|
g = ^(g >> 31)
|
|
}
|
|
|
|
b := yy1 + 116130*cb1
|
|
if uint32(b)&0xff000000 == 0 { //nolint:gosec
|
|
b >>= 16
|
|
} else {
|
|
b = ^(b >> 31)
|
|
}
|
|
|
|
d := dst[j : j+4 : j+4]
|
|
d[0] = uint8(r) // #nosec G115 -- Overflow desired.
|
|
d[1] = uint8(g) // #nosec G115 -- Overflow desired.
|
|
d[2] = uint8(b) // #nosec G115 -- Overflow desired.
|
|
d[3] = 0xff
|
|
|
|
iy++
|
|
j += 4
|
|
}
|
|
}
|
|
|
|
case *image.Paletted:
|
|
j := 0
|
|
for y := y1; y < y2; y++ {
|
|
i := y*img.Stride + x1
|
|
for x := x1; x < x2; x++ {
|
|
c := s.palette[img.Pix[i]]
|
|
d := dst[j : j+4 : j+4]
|
|
d[0] = c.R
|
|
d[1] = c.G
|
|
d[2] = c.B
|
|
d[3] = c.A
|
|
j += 4
|
|
i++
|
|
}
|
|
}
|
|
|
|
default:
|
|
j := 0
|
|
b := s.image.Bounds()
|
|
x1 += b.Min.X
|
|
x2 += b.Min.X
|
|
y1 += b.Min.Y
|
|
y2 += b.Min.Y
|
|
for y := y1; y < y2; y++ {
|
|
for x := x1; x < x2; x++ {
|
|
r16, g16, b16, a16 := s.image.At(x, y).RGBA()
|
|
d := dst[j : j+4 : j+4]
|
|
switch a16 {
|
|
case 0xffff:
|
|
d[0] = uint8(r16 >> 8) // #nosec G115 -- Overflow desired.
|
|
d[1] = uint8(g16 >> 8) // #nosec G115 -- Overflow desired.
|
|
d[2] = uint8(b16 >> 8) // #nosec G115 -- Overflow desired.
|
|
d[3] = 0xff
|
|
case 0:
|
|
d[0] = 0
|
|
d[1] = 0
|
|
d[2] = 0
|
|
d[3] = 0
|
|
default:
|
|
d[0] = uint8(((r16 * 0xffff) / a16) >> 8) // #nosec G115 -- Overflow desired.
|
|
d[1] = uint8(((g16 * 0xffff) / a16) >> 8) // #nosec G115 -- Overflow desired.
|
|
d[2] = uint8(((b16 * 0xffff) / a16) >> 8) // #nosec G115 -- Overflow desired.
|
|
d[3] = uint8(a16 >> 8) // #nosec G115 -- Overflow desired.
|
|
}
|
|
j += 4
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
// reverse reverses the data
|
|
// in contained pixel slice.
|
|
func reverse(pix []uint8) {
|
|
if len(pix) <= 4 {
|
|
return
|
|
}
|
|
i := 0
|
|
j := len(pix) - 4
|
|
for i < j {
|
|
pi := pix[i : i+4 : i+4]
|
|
pj := pix[j : j+4 : j+4]
|
|
pi[0], pj[0] = pj[0], pi[0]
|
|
pi[1], pj[1] = pj[1], pi[1]
|
|
pi[2], pj[2] = pj[2], pi[2]
|
|
pi[3], pj[3] = pj[3], pi[3]
|
|
i += 4
|
|
j -= 4
|
|
}
|
|
}
|
|
|
|
// clampFloat rounds and clamps float64 value to fit into uint8.
|
|
func clampFloat(x float64) uint8 {
|
|
v := int64(x + 0.5)
|
|
if v > 255 {
|
|
return 255
|
|
}
|
|
if v > 0 {
|
|
return uint8(v) // #nosec G115 -- Just checked.
|
|
}
|
|
return 0
|
|
}
|