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https://github.com/golang/go
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5c36fdfd39
This is a simple but everyday use case in image libraries. Currently,
there is one example in this library and it is lengthy and involved.
This PR will be imported into Gerrit with the title and first
comment (this text) used to generate the subject and body of
the Gerrit change.
Change-Id: Idca527d97c095af88755446e1548fa2b8ace7eb0
GitHub-Last-Rev: f5743c8ef3
GitHub-Pull-Request: golang/go#25616
Reviewed-on: https://go-review.googlesource.com/114939
Run-TryBot: Brad Fitzpatrick <bradfitz@golang.org>
TryBot-Result: Gobot Gobot <gobot@golang.org>
Reviewed-by: Brad Fitzpatrick <bradfitz@golang.org>
150 lines
7.5 KiB
Go
150 lines
7.5 KiB
Go
// Copyright 2012 The Go Authors. All rights reserved.
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// Use of this source code is governed by a BSD-style
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// license that can be found in the LICENSE file.
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// This example demonstrates decoding a JPEG image and examining its pixels.
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package image_test
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import (
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"encoding/base64"
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"fmt"
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"image"
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"log"
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"strings"
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// Package image/jpeg is not used explicitly in the code below,
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// but is imported for its initialization side-effect, which allows
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// image.Decode to understand JPEG formatted images. Uncomment these
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// two lines to also understand GIF and PNG images:
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// _ "image/gif"
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// _ "image/png"
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_ "image/jpeg"
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)
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func Example_decodeConfig() {
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reader := base64.NewDecoder(base64.StdEncoding, strings.NewReader(data))
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config, format, err := image.DecodeConfig(reader)
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if err != nil {
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log.Fatal(err)
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}
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fmt.Println("Width:", config.Width, "Height:", config.Height, "Format:", format)
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}
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func Example() {
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// Decode the JPEG data. If reading from file, create a reader with
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//
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// reader, err := os.Open("testdata/video-001.q50.420.jpeg")
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// if err != nil {
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// log.Fatal(err)
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// }
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// defer reader.Close()
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reader := base64.NewDecoder(base64.StdEncoding, strings.NewReader(data))
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m, _, err := image.Decode(reader)
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if err != nil {
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log.Fatal(err)
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}
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bounds := m.Bounds()
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// Calculate a 16-bin histogram for m's red, green, blue and alpha components.
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//
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// An image's bounds do not necessarily start at (0, 0), so the two loops start
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// at bounds.Min.Y and bounds.Min.X. Looping over Y first and X second is more
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// likely to result in better memory access patterns than X first and Y second.
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var histogram [16][4]int
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for y := bounds.Min.Y; y < bounds.Max.Y; y++ {
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for x := bounds.Min.X; x < bounds.Max.X; x++ {
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r, g, b, a := m.At(x, y).RGBA()
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// A color's RGBA method returns values in the range [0, 65535].
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// Shifting by 12 reduces this to the range [0, 15].
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histogram[r>>12][0]++
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histogram[g>>12][1]++
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histogram[b>>12][2]++
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histogram[a>>12][3]++
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}
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}
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// Print the results.
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fmt.Printf("%-14s %6s %6s %6s %6s\n", "bin", "red", "green", "blue", "alpha")
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for i, x := range histogram {
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fmt.Printf("0x%04x-0x%04x: %6d %6d %6d %6d\n", i<<12, (i+1)<<12-1, x[0], x[1], x[2], x[3])
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}
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// Output:
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// bin red green blue alpha
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// 0x0000-0x0fff: 364 790 7242 0
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// 0x1000-0x1fff: 645 2967 1039 0
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// 0x2000-0x2fff: 1072 2299 979 0
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// 0x3000-0x3fff: 820 2266 980 0
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// 0x4000-0x4fff: 537 1305 541 0
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// 0x5000-0x5fff: 319 962 261 0
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// 0x6000-0x6fff: 322 375 177 0
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// 0x7000-0x7fff: 601 279 214 0
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// 0x8000-0x8fff: 3478 227 273 0
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// 0x9000-0x9fff: 2260 234 329 0
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// 0xa000-0xafff: 921 282 373 0
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// 0xb000-0xbfff: 321 335 397 0
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// 0xc000-0xcfff: 229 388 298 0
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// 0xd000-0xdfff: 260 414 277 0
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// 0xe000-0xefff: 516 428 298 0
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// 0xf000-0xffff: 2785 1899 1772 15450
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}
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const data = `
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/9j/4AAQSkZJRgABAQIAHAAcAAD/2wBDABALDA4MChAODQ4SERATGCgaGBYWGDEjJR0oOjM9PDkzODdA
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HwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIh
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x8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQF
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BgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAV
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cmgjilP3jSEZqS0IO/NGDnpUiocDg/McDjvV6HTPOdVWYgsM5KcfzzQ2JySM2jp6VYu7SWzmMUwG4cgj
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5XGTn29BV28jt7pPLuIVljPBBFVreYx+VbqAjycgt3x14zRcNOxGyVFHQkIc/wA61exyKLbuzjdZ046d
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Jt7ZqTbRtouFyPFRXI/c9D94fzqzioLsfuD/ALw/nVReqIn8LJCOTSY+tSMOTmkIpXLRu+F0t5pJxPHG
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YrbfYGbyrjcWG88S57g+vtV26ZIvMlumKwwjLZ6V0WfU54yTvYwtbubea2WNWbzg4bYQeBgj8OtYeKhj
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u4y2HQxqxOD1xzxmrWAQCCGB6EGsaikndmsJxeiYzBo280/Z7UbayuaXGY5oIp+2lx9KLjIsVDeD/Rj/
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ALy/zq1t96r3y4tT/vL/ADq4P3kRP4WSleTSFKkkKoCW4GaqNcMxIjXj1pxjKT0FKrGC1Nrw3vGrKkYz
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5kTAr6455/HH510UdwPtRgWCbzF5+YYUf4Vwun39xpmoR3qASMmQUJwGU9Rnt/8AWrpbrxhb8/ZdOmaQ
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gAGZwFH5ZJrpVKVlY5ZYhN6kXiu2eO/ikZlIljAAB5yM549OawSOOlPuLqe+umuLqTfM4OSOAo7ADsKh
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hl/cRsTuJHPv7mlKi3sVTxNtGP20VJhThgSQaK52mnZnUqsWrpkyeUrr5pABOAPU1AGaXUCWJISHGPfP
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P8qL7BiKnsMg46H3qrbzupbj5mPTPTpXVSglG551SpzSsXJ4/MBUgYIxyKpySyGBYJriV1D7kRpCVH4V
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bSeNJ4xchni3DeqnBI+td7F4b0mKIRjT45VbktJlzk455+n6VtYzv2PNwFZWBHBGKVJDGVC54/nXQeMN
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k0ejCXNFMj2/jQV9qkxSYNRcsZiq2oI32N2CkhWXJxwOe9XMcVt6hoPn6dFaW0wgRpNzvKDlz6+/0rai
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ryv2Jm9LHJai+ZRGCBjnr71ErdAxAY9B611t1Y2cunbbaOQ3FvKZI3UqGlZMbiWwfcfhV231iwvLSM3U
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lt5Uq52TuZG+hGMA12xXJGxxzjzybOQtNOvb5j9ktZJhnBIHyg+5PFX38JayqK/2eLJIBUTgkDA9q7ex
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itrSHFpGsUbndhRgc+g7VNIyfZJAoJZUbb3I46CtFJMylBo8sdWhmYMuCnylc9wef5VUT7+1chc5NS7h
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sUZO5RtIPUH3pkBDOxxxmqM9TQtn+WilhHfHaik43KTG3Z4IyPyrNVjGCsZ+dmwv6V3cXhSG8sYpJLud
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JJIwxChdoJGcYx/Wkg8DafA4knvLiQr/ALqj+VQpKw3FtnFFfvbiSMgZJ6/jXp2n3d9cQRBTFsKD96EP
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oOxPU/8A68VVtbbRtMVntbePKDLTSHJH/Aj/AEqHTvE66rq72VugMMcbSGTnL4wMAfjT5n0HyW3L+s6b
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baxaJBdzN+7bcrxkAhun0rz3VNCv7e7lgigknWI43xLu6jjIHTjtXqfkpPGVYsBkghTikgsYIN/lhgXb
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cxLkknp/ShczQ7xtY8vtEmhkj8yGRBuCnehUcnHcVtmwfJ/fQ8e7f/E12txZW91C0U6b42xlST2OR/Ko
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Bo1gM/uW55/1jf41nOipu7LhV5FZHIGzI6zwj/vr/Ck+yr3uYf8Ax7/CutbQdMb71tn/ALaN/jSf8I/p
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X/PoP++2/wAan6rAr6wzkWt0II+1Rc/7Lf4Vd1eeCSKBbdZDdShYoiZNoyfY10P/AAj2lf8APmP++2/x
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WwO/+e1evPp9nI257aJm6bioz1z1+tY+s6Hplnot9PbWMMcqwOFcLyOO1bJWMZSTOPHi+9w3mosrlyd2
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9lCj02g9P/1e9a3hzxAbl2ikZRcdQueHHt7j864Y8Z4I4oRzG6urFWU5BHBB7HNJxTFGbR6he6Vpmtgm
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eLy5zwZI/lb8fX8azIvBUUTHdfSFP4QsYB/HNZ+k+KEnRY75hHOvAk6K/v7H9K6yyvlnQBmDZ6GsnzR0
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N0oy1RzOtaN/Y1tHNFO06u+zYy4I4Jzx9KKveJblXuordSGES5b6n/62PzorKVdp2LjQTVyWz8UWEWlq
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GHk245CZ6/X1qPTLq40q+W5t2QybSpDAkEEc55/zilk5k2r91eKhLDzWz2rpsczbbuemeD76fUNG865I
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KoiBZOV9JBnt707MVy5RWdNdy7wRGf3bfMinnO1jg+vY03WXLaJO3mhQ20b0zwpYf0qlG7S7icrJs08U
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VwumgC+YiQyeVtZH567hzj8aSL949oGhE/2v5pJCDkksQwBHC4/+vXQ8LZ2uYxxCavY7us/xCcaBfn0h
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b+VP0bnSrb94ZMJgOecj1rl/GfidUE2k2gy5+SeQjgA/wj3rlas2jdao48qrjLAGkSKPk4Gc1WMj92I+
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lIJnU8OfxPWo5inBokmtQTmM4OOh71b0q6vbFmWCbaxHyqQGAP0PT8KhSTzVyo5ocSKA5VfTOTmqsmRd
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ubeK6t3gnXdG4wwziiii/UTKMOg6dbzJLFE4dSCP3rEdeOM8805tDsGMvySgSsS6rM6gk9eAcUUVftZt
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3uyVGNthuq3Eei6DK8H7sRR7YuMgHtXkc8rzTNLM26RyWY+p70UVnLY0iEsUipG7rhZBlDkc1HgYoorM
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0HwyBXGeRjmrcUhMg2ghezd//rUUVcTKW5s2jZtY/QDaOKKKK8ip8bPRj8KP/9k=
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`
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