mirror of
https://github.com/rls-moe/nyx
synced 2024-12-24 12:17:16 +00:00
Images/Non-images post work, several bug fixes, UI fixes
This commit is contained in:
parent
4177901714
commit
afd9ae71cf
21
http/admin/cleanup.go
Normal file
21
http/admin/cleanup.go
Normal file
@ -0,0 +1,21 @@
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package admin
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import (
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"github.com/tidwall/buntdb"
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"go.rls.moe/nyx/http/errw"
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"go.rls.moe/nyx/http/middle"
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"net/http"
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)
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func handleCleanup(w http.ResponseWriter, r *http.Request) {
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db := middle.GetDB(r)
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err := db.Update(func(tx *buntdb.Tx) error {
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/* Insert cleanup codes here */
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return nil
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})
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err = db.Shrink()
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if err != nil {
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errw.ErrorWriter(err, w, r)
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return
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}
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}
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@ -106,6 +106,8 @@ func handleDelPost(w http.ResponseWriter, r *http.Request) {
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}
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reply.Text = "[deleted]"
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reply.Metadata["deleted"] = "yes"
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reply.Image = nil
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reply.Thumbnail = nil
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err = resources.UpdateReply(tx, r.Host, board, reply)
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if err != nil {
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return err
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@ -11,6 +11,7 @@ import (
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"go.rls.moe/nyx/resources"
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"html/template"
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"net/http"
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"strconv"
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"time"
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)
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@ -48,6 +49,10 @@ var (
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},
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"rateSpam": resources.SpamScore,
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"makeCaptcha": resources.MakeCaptcha,
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"dateFromID": resources.DateFromId,
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"formatDate": func(date time.Time) string {
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return date.Format("02 Jan 06 15:04:05")
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},
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}
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)
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@ -78,15 +83,74 @@ func Router(r chi.Router) {
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r.Get("/:board/board.html", serveBoard)
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r.Post("/:board/new_thread.sh", handleNewThread)
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r.Get("/:board/:thread/thread.html", serveThread)
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r.Get("/:board/:thread/:post/post.html", servePost)
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r.Get("/:board/:thread/:reply/:unused.png", serveFullImage)
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r.Get("/:board/:thread/:reply/thumb.png", serveThumb)
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r.Post("/:board/:thread/reply.sh", handleNewReply)
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r.Handle("/captcha/:captchaId.png", resources.ServeCaptcha)
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r.Handle("/captcha/:captchaId.wav", resources.ServeCaptcha)
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r.Handle("/captcha/download/:captchaId.wav", resources.ServeCaptcha)
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}
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func servePost(w http.ResponseWriter, r *http.Request) {
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return
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func serveThumb(w http.ResponseWriter, r *http.Request) {
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dat := bytes.NewBuffer([]byte{})
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db := middle.GetDB(r)
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err := db.View(func(tx *buntdb.Tx) error {
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bName := chi.URLParam(r, "board")
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tid, err := strconv.Atoi(chi.URLParam(r, "thread"))
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if err != nil {
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return err
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}
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rid, err := strconv.Atoi(chi.URLParam(r, "reply"))
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if err != nil {
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return err
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}
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reply, err := resources.GetReply(tx, r.Host, bName, tid, rid)
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if err != nil {
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return err
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}
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_, err = dat.Write(reply.Thumbnail)
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if err != nil {
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return err
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}
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return nil
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})
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if err != nil {
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errw.ErrorWriter(err, w, r)
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return
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}
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http.ServeContent(w, r, "thumb.png", time.Now(), bytes.NewReader(dat.Bytes()))
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}
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func serveFullImage(w http.ResponseWriter, r *http.Request) {
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dat := bytes.NewBuffer([]byte{})
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db := middle.GetDB(r)
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err := db.View(func(tx *buntdb.Tx) error {
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bName := chi.URLParam(r, "board")
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tid, err := strconv.Atoi(chi.URLParam(r, "thread"))
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if err != nil {
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return err
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}
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rid, err := strconv.Atoi(chi.URLParam(r, "reply"))
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if err != nil {
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return err
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}
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reply, err := resources.GetReply(tx, r.Host, bName, tid, rid)
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if err != nil {
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return err
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}
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_, err = dat.Write(reply.Image)
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if err != nil {
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return err
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}
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return nil
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})
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if err != nil {
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errw.ErrorWriter(err, w, r)
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return
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}
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http.ServeContent(w, r, "image.png", time.Now(), bytes.NewReader(dat.Bytes()))
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}
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func serveDir(w http.ResponseWriter, r *http.Request) {
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@ -1,12 +1,18 @@
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package board
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import (
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"bytes"
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"fmt"
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"github.com/nfnt/resize"
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"github.com/pressly/chi"
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"github.com/tidwall/buntdb"
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"go.rls.moe/nyx/http/errw"
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"go.rls.moe/nyx/http/middle"
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"go.rls.moe/nyx/resources"
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"image"
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_ "image/gif"
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_ "image/jpeg"
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"image/png"
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"net/http"
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"strconv"
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)
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@ -17,6 +23,11 @@ func handleNewReply(w http.ResponseWriter, r *http.Request) {
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errw.ErrorWriter(err, w, r)
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return
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}
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err = r.ParseMultipartForm(10 * 1024 * 1024)
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if err != nil {
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errw.ErrorWriter(err, w, r)
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return
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}
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if !resources.VerifyCaptcha(r) {
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http.Redirect(w, r,
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@ -40,7 +51,7 @@ func handleNewReply(w http.ResponseWriter, r *http.Request) {
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errw.ErrorWriter(errw.MakeErrorWithTitle("I'm sorry but I can't do that", "These are too many characters"), w, r)
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return
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}
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if len(reply.Text) < 10 {
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if len(reply.Text) < 5 {
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errw.ErrorWriter(errw.MakeErrorWithTitle("I'm sorry but I can't do that", "These are not enough characters"), w, r)
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return
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}
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@ -53,6 +64,36 @@ func handleNewReply(w http.ResponseWriter, r *http.Request) {
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return
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}
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{
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file, _, err := r.FormFile("image")
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if err != nil && err != http.ErrMissingFile {
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errw.ErrorWriter(err, w, r)
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return
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} else if err != http.ErrMissingFile {
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img, _, err := image.Decode(file)
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if err != nil {
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errw.ErrorWriter(err, w, r)
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return
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}
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thumb := resize.Thumbnail(128, 128, img, resize.Lanczos3)
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imgBuf := bytes.NewBuffer([]byte{})
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err = png.Encode(imgBuf, img)
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if err != nil {
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errw.ErrorWriter(err, w, r)
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return
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}
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fmt.Println("Image has size ", len(imgBuf.Bytes()))
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reply.Image = imgBuf.Bytes()
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imgBuf = bytes.NewBuffer([]byte{})
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err = png.Encode(imgBuf, thumb)
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if err != nil {
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errw.ErrorWriter(err, w, r)
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return
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}
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reply.Thumbnail = imgBuf.Bytes()
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}
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}
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reply.Metadata = map[string]string{}
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if r.FormValue("tripcode") != "" {
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reply.Metadata["trip"] = resources.CalcTripCode(r.FormValue("tripcode"))
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@ -1,12 +1,16 @@
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package board
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import (
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"bytes"
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"fmt"
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"github.com/nfnt/resize"
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"github.com/pressly/chi"
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"github.com/tidwall/buntdb"
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"go.rls.moe/nyx/http/errw"
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"go.rls.moe/nyx/http/middle"
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"go.rls.moe/nyx/resources"
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"image"
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"image/png"
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"net/http"
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)
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@ -16,6 +20,11 @@ func handleNewThread(w http.ResponseWriter, r *http.Request) {
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errw.ErrorWriter(err, w, r)
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return
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}
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err = r.ParseMultipartForm(10 * 1024 * 1024)
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if err != nil {
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errw.ErrorWriter(err, w, r)
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return
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}
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if !resources.VerifyCaptcha(r) {
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http.Redirect(w, r,
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@ -35,7 +44,7 @@ func handleNewThread(w http.ResponseWriter, r *http.Request) {
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errw.ErrorWriter(errw.MakeErrorWithTitle("I'm sorry but I can't do that", "These are too many characters"), w, r)
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return
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}
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if len(mainReply.Text) < 10 {
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if len(mainReply.Text) < 5 {
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errw.ErrorWriter(errw.MakeErrorWithTitle("I'm sorry but I can't do that", "These are not enough characters"), w, r)
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return
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}
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@ -48,6 +57,36 @@ func handleNewThread(w http.ResponseWriter, r *http.Request) {
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return
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}
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{
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file, _, err := r.FormFile("image")
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if err != nil && err != http.ErrMissingFile {
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errw.ErrorWriter(err, w, r)
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return
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} else if err != http.ErrMissingFile {
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img, _, err := image.Decode(file)
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if err != nil {
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errw.ErrorWriter(err, w, r)
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return
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}
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thumb := resize.Thumbnail(128, 128, img, resize.Lanczos3)
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imgBuf := bytes.NewBuffer([]byte{})
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err = png.Encode(imgBuf, img)
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if err != nil {
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errw.ErrorWriter(err, w, r)
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return
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}
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fmt.Println("Image has size ", len(imgBuf.Bytes()))
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mainReply.Image = imgBuf.Bytes()
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imgBuf = bytes.NewBuffer([]byte{})
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err = png.Encode(imgBuf, thumb)
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if err != nil {
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errw.ErrorWriter(err, w, r)
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return
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}
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mainReply.Thumbnail = imgBuf.Bytes()
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}
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}
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mainReply.Metadata = map[string]string{}
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if r.FormValue("tripcode") != "" {
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mainReply.Metadata["trip"] = resources.CalcTripCode(r.FormValue("tripcode"))
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@ -2,10 +2,14 @@
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<div class="postarea">
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{{ if .Thread }}
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<form id="postform"
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action="/{{.Board.ShortName}}/{{.Thread.ID}}/reply.sh" method="POST">
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action="/{{.Board.ShortName}}/{{.Thread.ID}}/reply.sh"
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method="POST"
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enctype="multipart/form-data">
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{{ else }}
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<form id="postform"
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action="/{{.Board.ShortName}}/new_thread.sh" method="POST">
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action="/{{.Board.ShortName}}/new_thread.sh"
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method="POST"
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enctype="multipart/form-data">
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{{ end }}
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<table>
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<tbody>
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@ -41,7 +45,7 @@
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placeholder="your comment"
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rows="4"
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cols="48"
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minlength="10"
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minlength="5"
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required
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></textarea>
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</td>
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@ -97,9 +101,7 @@
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Anonymous
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{{ end }}
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</span></label>
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<span class="reflink">
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<a href="/{{.Boardlink}}/{{.ThreadID}}/thread.html">No.{{.Reply.ID}}</a>
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</span>
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<span class="date">{{dateFromID .Reply.ID | formatDate}}</span>
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{{ if .Session }}
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{{ if eq (.Session.CAttr "mode") "admin" }}
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<form class="delform" action="/mod/del_reply.sh" method="POST">
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@ -126,6 +128,18 @@
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<span>
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{{printf "[SpamScore: %f]" (rateSpam .Reply.Text) }}
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</span>
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<span class="reflink">
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<a href="/{{.Boardlink}}/{{.ThreadID}}/thread.html">No.{{.Reply.ID}}</a>
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</span>
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{{ if .Reply.Thumbnail }}
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<br />
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<a target="_blank" href="/{{.Boardlink}}/{{.ThreadID}}/{{.Reply.ID}}/{{.Reply.ID}}.png">
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<img
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src="/{{.Boardlink}}/{{.ThreadID}}/{{.Reply.ID}}/thumb.png"
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class="thumb"
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/>
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</a>
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{{ end }}
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{{ if .Reply.Metadata.deleted }}
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<blockquote><blockquote class="deleted">
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{{ renderText .Reply.Text }}
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@ -152,7 +166,7 @@
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{{ end }}
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{{range .GetReplies}}
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{{ if ne .ID $threadrid }}
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<table><tbody><tr><td class="doubledash">>></td>
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<table class="reply-table"><tbody><tr><td class="doubledash">>></td>
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<td class="reply" id="reply{{.ID}}">
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{{ with dict "Reply" . "Boardlink" $boardlink "CSRF" $csrf "ThreadID" $threadid "Session" $session }}
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{{ template "thread/reply" . }}
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@ -16,9 +16,17 @@ div {
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padding: 0;
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}
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blockquote blockquote { max-width: 80%; word-wrap: break-word; white-space: normal; }
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blockquote blockquote {
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word-wrap: break-word;
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word-break: break-all;
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white-space: normal;
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padding: 2px;
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margin-bottom: 1em;
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margin-top: 1em;
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margin-left: 40px;
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margin-right: 40px;
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}
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.reply blockquote, blockquote :last-child { max-width: 80%; word-wrap: break-word; white-space: normal; }
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.delform {
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display: inline;
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@ -31,4 +39,12 @@ blockquote blockquote { max-width: 80%; word-wrap: break-word; white-space: norm
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.deleted {
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color: #707070;
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}
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.reply-table {
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display: block;
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}
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.reply {
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display: table;
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}
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@ -143,14 +143,13 @@ a:hover {
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/* futaba_style.pl */
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blockquote blockquote { margin-left: 0em; }
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form { margin-bottom: 0px }
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form .trap { display:none }
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.postarea { text-align: center }
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.postarea table { margin: 0px auto; text-align: left }
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.thumb { border: none; float: left; margin: 2px 20px }
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.nothumb { float: left; background: #eee; border: 2px dashed #aaa; text-align: center; margin: 2px 20px; padding: 1em 0.5em 1em 0.5em; }
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.reply blockquote, blockquote :last-child { margin-bottom: 0em; }
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.reflink a { color: inherit; text-decoration: none }
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.reply .filesize { margin-left: 20px }
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.userdelete { float: right; text-align: center; white-space: nowrap }
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|
@ -16,3 +16,7 @@ func getID() (int, error) {
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id, err := fountain.NewID()
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return int(id), err
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}
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func DateFromId(id int) time.Time {
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return time.Unix(int64(fountain.IDToUnix(id)), 0).UTC()
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}
|
@ -10,12 +10,13 @@ import (
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)
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type Reply struct {
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ID int `json:"id"`
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Text string `json:"text"`
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Image []byte `json:"image"`
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Thread int `json:"thread"`
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Board string `json:"board"`
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Metadata Metadata `json:"meta"`
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ID int `json:"id"`
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Text string `json:"text"`
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Image []byte `json:"image"`
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Thumbnail []byte `json:"thumb"`
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Thread int `json:"thread"`
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Board string `json:"board"`
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Metadata Metadata `json:"meta"`
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}
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func NewReply(tx *buntdb.Tx, host, board string, thread *Thread, in *Reply, noId bool) error {
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|
@ -27,6 +27,10 @@ type Generator struct {
|
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now int64
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}
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func (g *Generator) IDToUnix(id int) int {
|
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return (id >> counterLen) + int(g.StartTime)
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}
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|
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// NewID generates a new, unique snowflake value
|
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//
|
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// Up to 8192 snowflakes per second can be requested
|
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|
@ -16,6 +16,13 @@ func OperateReplyText(unsafe string) template.HTML {
|
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return template.HTML(unsafe)
|
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}
|
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|
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const (
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passScoreAggressive = 7.1
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passScoreReactive = 0.65
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passScoreLimitMin = 0.01
|
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passScoreLimitMax = 0.99
|
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)
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|
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var (
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blacklist = []string{
|
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"spam",
|
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@ -25,6 +32,8 @@ var (
|
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"subscription",
|
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"penis",
|
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"nazi",
|
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"beemovie",
|
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"bee movie",
|
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}
|
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)
|
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|
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@ -62,7 +71,13 @@ func (b *byteCounter) Write(p []byte) (n int, err error) {
|
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}
|
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|
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func CaptchaPass(spamScore float64) bool {
|
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chance := math.Max(0, math.Min(0.65*math.Atan(7.1*spamScore), 0.99))
|
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chance := math.Max(
|
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passScoreLimitMin,
|
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math.Min(
|
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passScoreReactive*math.Atan(
|
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passScoreAggressive*spamScore,
|
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),
|
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passScoreLimitMax))
|
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take := rand.Float64()
|
||||
fmt.Printf("Chance: %f, Take %f", chance, take)
|
||||
return take > chance
|
||||
|
13
vendor/github.com/nfnt/resize/LICENSE
generated
vendored
Normal file
13
vendor/github.com/nfnt/resize/LICENSE
generated
vendored
Normal file
@ -0,0 +1,13 @@
|
||||
Copyright (c) 2012, Jan Schlicht <jan.schlicht@gmail.com>
|
||||
|
||||
Permission to use, copy, modify, and/or distribute this software for any purpose
|
||||
with or without fee is hereby granted, provided that the above copyright notice
|
||||
and this permission notice appear in all copies.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
|
||||
REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND
|
||||
FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
|
||||
INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS
|
||||
OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER
|
||||
TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF
|
||||
THIS SOFTWARE.
|
149
vendor/github.com/nfnt/resize/README.md
generated
vendored
Normal file
149
vendor/github.com/nfnt/resize/README.md
generated
vendored
Normal file
@ -0,0 +1,149 @@
|
||||
Resize
|
||||
======
|
||||
|
||||
Image resizing for the [Go programming language](http://golang.org) with common interpolation methods.
|
||||
|
||||
[![Build Status](https://travis-ci.org/nfnt/resize.svg)](https://travis-ci.org/nfnt/resize)
|
||||
|
||||
Installation
|
||||
------------
|
||||
|
||||
```bash
|
||||
$ go get github.com/nfnt/resize
|
||||
```
|
||||
|
||||
It's that easy!
|
||||
|
||||
Usage
|
||||
-----
|
||||
|
||||
This package needs at least Go 1.1. Import package with
|
||||
|
||||
```go
|
||||
import "github.com/nfnt/resize"
|
||||
```
|
||||
|
||||
The resize package provides 2 functions:
|
||||
|
||||
* `resize.Resize` creates a scaled image with new dimensions (`width`, `height`) using the interpolation function `interp`.
|
||||
If either `width` or `height` is set to 0, it will be set to an aspect ratio preserving value.
|
||||
* `resize.Thumbnail` downscales an image preserving its aspect ratio to the maximum dimensions (`maxWidth`, `maxHeight`).
|
||||
It will return the original image if original sizes are smaller than the provided dimensions.
|
||||
|
||||
```go
|
||||
resize.Resize(width, height uint, img image.Image, interp resize.InterpolationFunction) image.Image
|
||||
resize.Thumbnail(maxWidth, maxHeight uint, img image.Image, interp resize.InterpolationFunction) image.Image
|
||||
```
|
||||
|
||||
The provided interpolation functions are (from fast to slow execution time)
|
||||
|
||||
- `NearestNeighbor`: [Nearest-neighbor interpolation](http://en.wikipedia.org/wiki/Nearest-neighbor_interpolation)
|
||||
- `Bilinear`: [Bilinear interpolation](http://en.wikipedia.org/wiki/Bilinear_interpolation)
|
||||
- `Bicubic`: [Bicubic interpolation](http://en.wikipedia.org/wiki/Bicubic_interpolation)
|
||||
- `MitchellNetravali`: [Mitchell-Netravali interpolation](http://dl.acm.org/citation.cfm?id=378514)
|
||||
- `Lanczos2`: [Lanczos resampling](http://en.wikipedia.org/wiki/Lanczos_resampling) with a=2
|
||||
- `Lanczos3`: [Lanczos resampling](http://en.wikipedia.org/wiki/Lanczos_resampling) with a=3
|
||||
|
||||
Which of these methods gives the best results depends on your use case.
|
||||
|
||||
Sample usage:
|
||||
|
||||
```go
|
||||
package main
|
||||
|
||||
import (
|
||||
"github.com/nfnt/resize"
|
||||
"image/jpeg"
|
||||
"log"
|
||||
"os"
|
||||
)
|
||||
|
||||
func main() {
|
||||
// open "test.jpg"
|
||||
file, err := os.Open("test.jpg")
|
||||
if err != nil {
|
||||
log.Fatal(err)
|
||||
}
|
||||
|
||||
// decode jpeg into image.Image
|
||||
img, err := jpeg.Decode(file)
|
||||
if err != nil {
|
||||
log.Fatal(err)
|
||||
}
|
||||
file.Close()
|
||||
|
||||
// resize to width 1000 using Lanczos resampling
|
||||
// and preserve aspect ratio
|
||||
m := resize.Resize(1000, 0, img, resize.Lanczos3)
|
||||
|
||||
out, err := os.Create("test_resized.jpg")
|
||||
if err != nil {
|
||||
log.Fatal(err)
|
||||
}
|
||||
defer out.Close()
|
||||
|
||||
// write new image to file
|
||||
jpeg.Encode(out, m, nil)
|
||||
}
|
||||
```
|
||||
|
||||
Caveats
|
||||
-------
|
||||
|
||||
* Optimized access routines are used for `image.RGBA`, `image.NRGBA`, `image.RGBA64`, `image.NRGBA64`, `image.YCbCr`, `image.Gray`, and `image.Gray16` types. All other image types are accessed in a generic way that will result in slow processing speed.
|
||||
* JPEG images are stored in `image.YCbCr`. This image format stores data in a way that will decrease processing speed. A resize may be up to 2 times slower than with `image.RGBA`.
|
||||
|
||||
|
||||
Downsizing Samples
|
||||
-------
|
||||
|
||||
Downsizing is not as simple as it might look like. Images have to be filtered before they are scaled down, otherwise aliasing might occur.
|
||||
Filtering is highly subjective: Applying too much will blur the whole image, too little will make aliasing become apparent.
|
||||
Resize tries to provide sane defaults that should suffice in most cases.
|
||||
|
||||
### Artificial sample
|
||||
|
||||
Original image
|
||||
![Rings](http://nfnt.github.com/img/rings_lg_orig.png)
|
||||
|
||||
<table>
|
||||
<tr>
|
||||
<th><img src="http://nfnt.github.com/img/rings_300_NearestNeighbor.png" /><br>Nearest-Neighbor</th>
|
||||
<th><img src="http://nfnt.github.com/img/rings_300_Bilinear.png" /><br>Bilinear</th>
|
||||
</tr>
|
||||
<tr>
|
||||
<th><img src="http://nfnt.github.com/img/rings_300_Bicubic.png" /><br>Bicubic</th>
|
||||
<th><img src="http://nfnt.github.com/img/rings_300_MitchellNetravali.png" /><br>Mitchell-Netravali</th>
|
||||
</tr>
|
||||
<tr>
|
||||
<th><img src="http://nfnt.github.com/img/rings_300_Lanczos2.png" /><br>Lanczos2</th>
|
||||
<th><img src="http://nfnt.github.com/img/rings_300_Lanczos3.png" /><br>Lanczos3</th>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
### Real-Life sample
|
||||
|
||||
Original image
|
||||
![Original](http://nfnt.github.com/img/IMG_3694_720.jpg)
|
||||
|
||||
<table>
|
||||
<tr>
|
||||
<th><img src="http://nfnt.github.com/img/IMG_3694_300_NearestNeighbor.png" /><br>Nearest-Neighbor</th>
|
||||
<th><img src="http://nfnt.github.com/img/IMG_3694_300_Bilinear.png" /><br>Bilinear</th>
|
||||
</tr>
|
||||
<tr>
|
||||
<th><img src="http://nfnt.github.com/img/IMG_3694_300_Bicubic.png" /><br>Bicubic</th>
|
||||
<th><img src="http://nfnt.github.com/img/IMG_3694_300_MitchellNetravali.png" /><br>Mitchell-Netravali</th>
|
||||
</tr>
|
||||
<tr>
|
||||
<th><img src="http://nfnt.github.com/img/IMG_3694_300_Lanczos2.png" /><br>Lanczos2</th>
|
||||
<th><img src="http://nfnt.github.com/img/IMG_3694_300_Lanczos3.png" /><br>Lanczos3</th>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
|
||||
License
|
||||
-------
|
||||
|
||||
Copyright (c) 2012 Jan Schlicht <janschlicht@gmail.com>
|
||||
Resize is released under a MIT style license.
|
438
vendor/github.com/nfnt/resize/converter.go
generated
vendored
Normal file
438
vendor/github.com/nfnt/resize/converter.go
generated
vendored
Normal file
@ -0,0 +1,438 @@
|
||||
/*
|
||||
Copyright (c) 2012, Jan Schlicht <jan.schlicht@gmail.com>
|
||||
|
||||
Permission to use, copy, modify, and/or distribute this software for any purpose
|
||||
with or without fee is hereby granted, provided that the above copyright notice
|
||||
and this permission notice appear in all copies.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
|
||||
REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND
|
||||
FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
|
||||
INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS
|
||||
OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER
|
||||
TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF
|
||||
THIS SOFTWARE.
|
||||
*/
|
||||
|
||||
package resize
|
||||
|
||||
import "image"
|
||||
|
||||
// Keep value in [0,255] range.
|
||||
func clampUint8(in int32) uint8 {
|
||||
// casting a negative int to an uint will result in an overflown
|
||||
// large uint. this behavior will be exploited here and in other functions
|
||||
// to achieve a higher performance.
|
||||
if uint32(in) < 256 {
|
||||
return uint8(in)
|
||||
}
|
||||
if in > 255 {
|
||||
return 255
|
||||
}
|
||||
return 0
|
||||
}
|
||||
|
||||
// Keep value in [0,65535] range.
|
||||
func clampUint16(in int64) uint16 {
|
||||
if uint64(in) < 65536 {
|
||||
return uint16(in)
|
||||
}
|
||||
if in > 65535 {
|
||||
return 65535
|
||||
}
|
||||
return 0
|
||||
}
|
||||
|
||||
func resizeGeneric(in image.Image, out *image.RGBA64, scale float64, coeffs []int32, offset []int, filterLength int) {
|
||||
newBounds := out.Bounds()
|
||||
maxX := in.Bounds().Dx() - 1
|
||||
|
||||
for x := newBounds.Min.X; x < newBounds.Max.X; x++ {
|
||||
for y := newBounds.Min.Y; y < newBounds.Max.Y; y++ {
|
||||
var rgba [4]int64
|
||||
var sum int64
|
||||
start := offset[y]
|
||||
ci := y * filterLength
|
||||
for i := 0; i < filterLength; i++ {
|
||||
coeff := coeffs[ci+i]
|
||||
if coeff != 0 {
|
||||
xi := start + i
|
||||
switch {
|
||||
case xi < 0:
|
||||
xi = 0
|
||||
case xi >= maxX:
|
||||
xi = maxX
|
||||
}
|
||||
|
||||
r, g, b, a := in.At(xi+in.Bounds().Min.X, x+in.Bounds().Min.Y).RGBA()
|
||||
|
||||
rgba[0] += int64(coeff) * int64(r)
|
||||
rgba[1] += int64(coeff) * int64(g)
|
||||
rgba[2] += int64(coeff) * int64(b)
|
||||
rgba[3] += int64(coeff) * int64(a)
|
||||
sum += int64(coeff)
|
||||
}
|
||||
}
|
||||
|
||||
offset := (y-newBounds.Min.Y)*out.Stride + (x-newBounds.Min.X)*8
|
||||
|
||||
value := clampUint16(rgba[0] / sum)
|
||||
out.Pix[offset+0] = uint8(value >> 8)
|
||||
out.Pix[offset+1] = uint8(value)
|
||||
value = clampUint16(rgba[1] / sum)
|
||||
out.Pix[offset+2] = uint8(value >> 8)
|
||||
out.Pix[offset+3] = uint8(value)
|
||||
value = clampUint16(rgba[2] / sum)
|
||||
out.Pix[offset+4] = uint8(value >> 8)
|
||||
out.Pix[offset+5] = uint8(value)
|
||||
value = clampUint16(rgba[3] / sum)
|
||||
out.Pix[offset+6] = uint8(value >> 8)
|
||||
out.Pix[offset+7] = uint8(value)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func resizeRGBA(in *image.RGBA, out *image.RGBA, scale float64, coeffs []int16, offset []int, filterLength int) {
|
||||
newBounds := out.Bounds()
|
||||
maxX := in.Bounds().Dx() - 1
|
||||
|
||||
for x := newBounds.Min.X; x < newBounds.Max.X; x++ {
|
||||
row := in.Pix[x*in.Stride:]
|
||||
for y := newBounds.Min.Y; y < newBounds.Max.Y; y++ {
|
||||
var rgba [4]int32
|
||||
var sum int32
|
||||
start := offset[y]
|
||||
ci := y * filterLength
|
||||
for i := 0; i < filterLength; i++ {
|
||||
coeff := coeffs[ci+i]
|
||||
if coeff != 0 {
|
||||
xi := start + i
|
||||
switch {
|
||||
case uint(xi) < uint(maxX):
|
||||
xi *= 4
|
||||
case xi >= maxX:
|
||||
xi = 4 * maxX
|
||||
default:
|
||||
xi = 0
|
||||
}
|
||||
|
||||
rgba[0] += int32(coeff) * int32(row[xi+0])
|
||||
rgba[1] += int32(coeff) * int32(row[xi+1])
|
||||
rgba[2] += int32(coeff) * int32(row[xi+2])
|
||||
rgba[3] += int32(coeff) * int32(row[xi+3])
|
||||
sum += int32(coeff)
|
||||
}
|
||||
}
|
||||
|
||||
xo := (y-newBounds.Min.Y)*out.Stride + (x-newBounds.Min.X)*4
|
||||
|
||||
out.Pix[xo+0] = clampUint8(rgba[0] / sum)
|
||||
out.Pix[xo+1] = clampUint8(rgba[1] / sum)
|
||||
out.Pix[xo+2] = clampUint8(rgba[2] / sum)
|
||||
out.Pix[xo+3] = clampUint8(rgba[3] / sum)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func resizeNRGBA(in *image.NRGBA, out *image.RGBA, scale float64, coeffs []int16, offset []int, filterLength int) {
|
||||
newBounds := out.Bounds()
|
||||
maxX := in.Bounds().Dx() - 1
|
||||
|
||||
for x := newBounds.Min.X; x < newBounds.Max.X; x++ {
|
||||
row := in.Pix[x*in.Stride:]
|
||||
for y := newBounds.Min.Y; y < newBounds.Max.Y; y++ {
|
||||
var rgba [4]int32
|
||||
var sum int32
|
||||
start := offset[y]
|
||||
ci := y * filterLength
|
||||
for i := 0; i < filterLength; i++ {
|
||||
coeff := coeffs[ci+i]
|
||||
if coeff != 0 {
|
||||
xi := start + i
|
||||
switch {
|
||||
case uint(xi) < uint(maxX):
|
||||
xi *= 4
|
||||
case xi >= maxX:
|
||||
xi = 4 * maxX
|
||||
default:
|
||||
xi = 0
|
||||
}
|
||||
|
||||
// Forward alpha-premultiplication
|
||||
a := int32(row[xi+3])
|
||||
r := int32(row[xi+0]) * a
|
||||
r /= 0xff
|
||||
g := int32(row[xi+1]) * a
|
||||
g /= 0xff
|
||||
b := int32(row[xi+2]) * a
|
||||
b /= 0xff
|
||||
|
||||
rgba[0] += int32(coeff) * r
|
||||
rgba[1] += int32(coeff) * g
|
||||
rgba[2] += int32(coeff) * b
|
||||
rgba[3] += int32(coeff) * a
|
||||
sum += int32(coeff)
|
||||
}
|
||||
}
|
||||
|
||||
xo := (y-newBounds.Min.Y)*out.Stride + (x-newBounds.Min.X)*4
|
||||
|
||||
out.Pix[xo+0] = clampUint8(rgba[0] / sum)
|
||||
out.Pix[xo+1] = clampUint8(rgba[1] / sum)
|
||||
out.Pix[xo+2] = clampUint8(rgba[2] / sum)
|
||||
out.Pix[xo+3] = clampUint8(rgba[3] / sum)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func resizeRGBA64(in *image.RGBA64, out *image.RGBA64, scale float64, coeffs []int32, offset []int, filterLength int) {
|
||||
newBounds := out.Bounds()
|
||||
maxX := in.Bounds().Dx() - 1
|
||||
|
||||
for x := newBounds.Min.X; x < newBounds.Max.X; x++ {
|
||||
row := in.Pix[x*in.Stride:]
|
||||
for y := newBounds.Min.Y; y < newBounds.Max.Y; y++ {
|
||||
var rgba [4]int64
|
||||
var sum int64
|
||||
start := offset[y]
|
||||
ci := y * filterLength
|
||||
for i := 0; i < filterLength; i++ {
|
||||
coeff := coeffs[ci+i]
|
||||
if coeff != 0 {
|
||||
xi := start + i
|
||||
switch {
|
||||
case uint(xi) < uint(maxX):
|
||||
xi *= 8
|
||||
case xi >= maxX:
|
||||
xi = 8 * maxX
|
||||
default:
|
||||
xi = 0
|
||||
}
|
||||
|
||||
rgba[0] += int64(coeff) * (int64(row[xi+0])<<8 | int64(row[xi+1]))
|
||||
rgba[1] += int64(coeff) * (int64(row[xi+2])<<8 | int64(row[xi+3]))
|
||||
rgba[2] += int64(coeff) * (int64(row[xi+4])<<8 | int64(row[xi+5]))
|
||||
rgba[3] += int64(coeff) * (int64(row[xi+6])<<8 | int64(row[xi+7]))
|
||||
sum += int64(coeff)
|
||||
}
|
||||
}
|
||||
|
||||
xo := (y-newBounds.Min.Y)*out.Stride + (x-newBounds.Min.X)*8
|
||||
|
||||
value := clampUint16(rgba[0] / sum)
|
||||
out.Pix[xo+0] = uint8(value >> 8)
|
||||
out.Pix[xo+1] = uint8(value)
|
||||
value = clampUint16(rgba[1] / sum)
|
||||
out.Pix[xo+2] = uint8(value >> 8)
|
||||
out.Pix[xo+3] = uint8(value)
|
||||
value = clampUint16(rgba[2] / sum)
|
||||
out.Pix[xo+4] = uint8(value >> 8)
|
||||
out.Pix[xo+5] = uint8(value)
|
||||
value = clampUint16(rgba[3] / sum)
|
||||
out.Pix[xo+6] = uint8(value >> 8)
|
||||
out.Pix[xo+7] = uint8(value)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func resizeNRGBA64(in *image.NRGBA64, out *image.RGBA64, scale float64, coeffs []int32, offset []int, filterLength int) {
|
||||
newBounds := out.Bounds()
|
||||
maxX := in.Bounds().Dx() - 1
|
||||
|
||||
for x := newBounds.Min.X; x < newBounds.Max.X; x++ {
|
||||
row := in.Pix[x*in.Stride:]
|
||||
for y := newBounds.Min.Y; y < newBounds.Max.Y; y++ {
|
||||
var rgba [4]int64
|
||||
var sum int64
|
||||
start := offset[y]
|
||||
ci := y * filterLength
|
||||
for i := 0; i < filterLength; i++ {
|
||||
coeff := coeffs[ci+i]
|
||||
if coeff != 0 {
|
||||
xi := start + i
|
||||
switch {
|
||||
case uint(xi) < uint(maxX):
|
||||
xi *= 8
|
||||
case xi >= maxX:
|
||||
xi = 8 * maxX
|
||||
default:
|
||||
xi = 0
|
||||
}
|
||||
|
||||
// Forward alpha-premultiplication
|
||||
a := int64(uint16(row[xi+6])<<8 | uint16(row[xi+7]))
|
||||
r := int64(uint16(row[xi+0])<<8|uint16(row[xi+1])) * a
|
||||
r /= 0xffff
|
||||
g := int64(uint16(row[xi+2])<<8|uint16(row[xi+3])) * a
|
||||
g /= 0xffff
|
||||
b := int64(uint16(row[xi+4])<<8|uint16(row[xi+5])) * a
|
||||
b /= 0xffff
|
||||
|
||||
rgba[0] += int64(coeff) * r
|
||||
rgba[1] += int64(coeff) * g
|
||||
rgba[2] += int64(coeff) * b
|
||||
rgba[3] += int64(coeff) * a
|
||||
sum += int64(coeff)
|
||||
}
|
||||
}
|
||||
|
||||
xo := (y-newBounds.Min.Y)*out.Stride + (x-newBounds.Min.X)*8
|
||||
|
||||
value := clampUint16(rgba[0] / sum)
|
||||
out.Pix[xo+0] = uint8(value >> 8)
|
||||
out.Pix[xo+1] = uint8(value)
|
||||
value = clampUint16(rgba[1] / sum)
|
||||
out.Pix[xo+2] = uint8(value >> 8)
|
||||
out.Pix[xo+3] = uint8(value)
|
||||
value = clampUint16(rgba[2] / sum)
|
||||
out.Pix[xo+4] = uint8(value >> 8)
|
||||
out.Pix[xo+5] = uint8(value)
|
||||
value = clampUint16(rgba[3] / sum)
|
||||
out.Pix[xo+6] = uint8(value >> 8)
|
||||
out.Pix[xo+7] = uint8(value)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func resizeGray(in *image.Gray, out *image.Gray, scale float64, coeffs []int16, offset []int, filterLength int) {
|
||||
newBounds := out.Bounds()
|
||||
maxX := in.Bounds().Dx() - 1
|
||||
|
||||
for x := newBounds.Min.X; x < newBounds.Max.X; x++ {
|
||||
row := in.Pix[(x-newBounds.Min.X)*in.Stride:]
|
||||
for y := newBounds.Min.Y; y < newBounds.Max.Y; y++ {
|
||||
var gray int32
|
||||
var sum int32
|
||||
start := offset[y]
|
||||
ci := y * filterLength
|
||||
for i := 0; i < filterLength; i++ {
|
||||
coeff := coeffs[ci+i]
|
||||
if coeff != 0 {
|
||||
xi := start + i
|
||||
switch {
|
||||
case xi < 0:
|
||||
xi = 0
|
||||
case xi >= maxX:
|
||||
xi = maxX
|
||||
}
|
||||
gray += int32(coeff) * int32(row[xi])
|
||||
sum += int32(coeff)
|
||||
}
|
||||
}
|
||||
|
||||
offset := (y-newBounds.Min.Y)*out.Stride + (x - newBounds.Min.X)
|
||||
out.Pix[offset] = clampUint8(gray / sum)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func resizeGray16(in *image.Gray16, out *image.Gray16, scale float64, coeffs []int32, offset []int, filterLength int) {
|
||||
newBounds := out.Bounds()
|
||||
maxX := in.Bounds().Dx() - 1
|
||||
|
||||
for x := newBounds.Min.X; x < newBounds.Max.X; x++ {
|
||||
row := in.Pix[x*in.Stride:]
|
||||
for y := newBounds.Min.Y; y < newBounds.Max.Y; y++ {
|
||||
var gray int64
|
||||
var sum int64
|
||||
start := offset[y]
|
||||
ci := y * filterLength
|
||||
for i := 0; i < filterLength; i++ {
|
||||
coeff := coeffs[ci+i]
|
||||
if coeff != 0 {
|
||||
xi := start + i
|
||||
switch {
|
||||
case uint(xi) < uint(maxX):
|
||||
xi *= 2
|
||||
case xi >= maxX:
|
||||
xi = 2 * maxX
|
||||
default:
|
||||
xi = 0
|
||||
}
|
||||
gray += int64(coeff) * int64(uint16(row[xi+0])<<8|uint16(row[xi+1]))
|
||||
sum += int64(coeff)
|
||||
}
|
||||
}
|
||||
|
||||
offset := (y-newBounds.Min.Y)*out.Stride + (x-newBounds.Min.X)*2
|
||||
value := clampUint16(gray / sum)
|
||||
out.Pix[offset+0] = uint8(value >> 8)
|
||||
out.Pix[offset+1] = uint8(value)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func resizeYCbCr(in *ycc, out *ycc, scale float64, coeffs []int16, offset []int, filterLength int) {
|
||||
newBounds := out.Bounds()
|
||||
maxX := in.Bounds().Dx() - 1
|
||||
|
||||
for x := newBounds.Min.X; x < newBounds.Max.X; x++ {
|
||||
row := in.Pix[x*in.Stride:]
|
||||
for y := newBounds.Min.Y; y < newBounds.Max.Y; y++ {
|
||||
var p [3]int32
|
||||
var sum int32
|
||||
start := offset[y]
|
||||
ci := y * filterLength
|
||||
for i := 0; i < filterLength; i++ {
|
||||
coeff := coeffs[ci+i]
|
||||
if coeff != 0 {
|
||||
xi := start + i
|
||||
switch {
|
||||
case uint(xi) < uint(maxX):
|
||||
xi *= 3
|
||||
case xi >= maxX:
|
||||
xi = 3 * maxX
|
||||
default:
|
||||
xi = 0
|
||||
}
|
||||
p[0] += int32(coeff) * int32(row[xi+0])
|
||||
p[1] += int32(coeff) * int32(row[xi+1])
|
||||
p[2] += int32(coeff) * int32(row[xi+2])
|
||||
sum += int32(coeff)
|
||||
}
|
||||
}
|
||||
|
||||
xo := (y-newBounds.Min.Y)*out.Stride + (x-newBounds.Min.X)*3
|
||||
out.Pix[xo+0] = clampUint8(p[0] / sum)
|
||||
out.Pix[xo+1] = clampUint8(p[1] / sum)
|
||||
out.Pix[xo+2] = clampUint8(p[2] / sum)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func nearestYCbCr(in *ycc, out *ycc, scale float64, coeffs []bool, offset []int, filterLength int) {
|
||||
newBounds := out.Bounds()
|
||||
maxX := in.Bounds().Dx() - 1
|
||||
|
||||
for x := newBounds.Min.X; x < newBounds.Max.X; x++ {
|
||||
row := in.Pix[x*in.Stride:]
|
||||
for y := newBounds.Min.Y; y < newBounds.Max.Y; y++ {
|
||||
var p [3]float32
|
||||
var sum float32
|
||||
start := offset[y]
|
||||
ci := y * filterLength
|
||||
for i := 0; i < filterLength; i++ {
|
||||
if coeffs[ci+i] {
|
||||
xi := start + i
|
||||
switch {
|
||||
case uint(xi) < uint(maxX):
|
||||
xi *= 3
|
||||
case xi >= maxX:
|
||||
xi = 3 * maxX
|
||||
default:
|
||||
xi = 0
|
||||
}
|
||||
p[0] += float32(row[xi+0])
|
||||
p[1] += float32(row[xi+1])
|
||||
p[2] += float32(row[xi+2])
|
||||
sum++
|
||||
}
|
||||
}
|
||||
|
||||
xo := (y-newBounds.Min.Y)*out.Stride + (x-newBounds.Min.X)*3
|
||||
out.Pix[xo+0] = floatToUint8(p[0] / sum)
|
||||
out.Pix[xo+1] = floatToUint8(p[1] / sum)
|
||||
out.Pix[xo+2] = floatToUint8(p[2] / sum)
|
||||
}
|
||||
}
|
||||
}
|
143
vendor/github.com/nfnt/resize/filters.go
generated
vendored
Normal file
143
vendor/github.com/nfnt/resize/filters.go
generated
vendored
Normal file
@ -0,0 +1,143 @@
|
||||
/*
|
||||
Copyright (c) 2012, Jan Schlicht <jan.schlicht@gmail.com>
|
||||
|
||||
Permission to use, copy, modify, and/or distribute this software for any purpose
|
||||
with or without fee is hereby granted, provided that the above copyright notice
|
||||
and this permission notice appear in all copies.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
|
||||
REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND
|
||||
FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
|
||||
INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS
|
||||
OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER
|
||||
TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF
|
||||
THIS SOFTWARE.
|
||||
*/
|
||||
|
||||
package resize
|
||||
|
||||
import (
|
||||
"math"
|
||||
)
|
||||
|
||||
func nearest(in float64) float64 {
|
||||
if in >= -0.5 && in < 0.5 {
|
||||
return 1
|
||||
}
|
||||
return 0
|
||||
}
|
||||
|
||||
func linear(in float64) float64 {
|
||||
in = math.Abs(in)
|
||||
if in <= 1 {
|
||||
return 1 - in
|
||||
}
|
||||
return 0
|
||||
}
|
||||
|
||||
func cubic(in float64) float64 {
|
||||
in = math.Abs(in)
|
||||
if in <= 1 {
|
||||
return in*in*(1.5*in-2.5) + 1.0
|
||||
}
|
||||
if in <= 2 {
|
||||
return in*(in*(2.5-0.5*in)-4.0) + 2.0
|
||||
}
|
||||
return 0
|
||||
}
|
||||
|
||||
func mitchellnetravali(in float64) float64 {
|
||||
in = math.Abs(in)
|
||||
if in <= 1 {
|
||||
return (7.0*in*in*in - 12.0*in*in + 5.33333333333) * 0.16666666666
|
||||
}
|
||||
if in <= 2 {
|
||||
return (-2.33333333333*in*in*in + 12.0*in*in - 20.0*in + 10.6666666667) * 0.16666666666
|
||||
}
|
||||
return 0
|
||||
}
|
||||
|
||||
func sinc(x float64) float64 {
|
||||
x = math.Abs(x) * math.Pi
|
||||
if x >= 1.220703e-4 {
|
||||
return math.Sin(x) / x
|
||||
}
|
||||
return 1
|
||||
}
|
||||
|
||||
func lanczos2(in float64) float64 {
|
||||
if in > -2 && in < 2 {
|
||||
return sinc(in) * sinc(in*0.5)
|
||||
}
|
||||
return 0
|
||||
}
|
||||
|
||||
func lanczos3(in float64) float64 {
|
||||
if in > -3 && in < 3 {
|
||||
return sinc(in) * sinc(in*0.3333333333333333)
|
||||
}
|
||||
return 0
|
||||
}
|
||||
|
||||
// range [-256,256]
|
||||
func createWeights8(dy, filterLength int, blur, scale float64, kernel func(float64) float64) ([]int16, []int, int) {
|
||||
filterLength = filterLength * int(math.Max(math.Ceil(blur*scale), 1))
|
||||
filterFactor := math.Min(1./(blur*scale), 1)
|
||||
|
||||
coeffs := make([]int16, dy*filterLength)
|
||||
start := make([]int, dy)
|
||||
for y := 0; y < dy; y++ {
|
||||
interpX := scale*(float64(y)+0.5) - 0.5
|
||||
start[y] = int(interpX) - filterLength/2 + 1
|
||||
interpX -= float64(start[y])
|
||||
for i := 0; i < filterLength; i++ {
|
||||
in := (interpX - float64(i)) * filterFactor
|
||||
coeffs[y*filterLength+i] = int16(kernel(in) * 256)
|
||||
}
|
||||
}
|
||||
|
||||
return coeffs, start, filterLength
|
||||
}
|
||||
|
||||
// range [-65536,65536]
|
||||
func createWeights16(dy, filterLength int, blur, scale float64, kernel func(float64) float64) ([]int32, []int, int) {
|
||||
filterLength = filterLength * int(math.Max(math.Ceil(blur*scale), 1))
|
||||
filterFactor := math.Min(1./(blur*scale), 1)
|
||||
|
||||
coeffs := make([]int32, dy*filterLength)
|
||||
start := make([]int, dy)
|
||||
for y := 0; y < dy; y++ {
|
||||
interpX := scale*(float64(y)+0.5) - 0.5
|
||||
start[y] = int(interpX) - filterLength/2 + 1
|
||||
interpX -= float64(start[y])
|
||||
for i := 0; i < filterLength; i++ {
|
||||
in := (interpX - float64(i)) * filterFactor
|
||||
coeffs[y*filterLength+i] = int32(kernel(in) * 65536)
|
||||
}
|
||||
}
|
||||
|
||||
return coeffs, start, filterLength
|
||||
}
|
||||
|
||||
func createWeightsNearest(dy, filterLength int, blur, scale float64) ([]bool, []int, int) {
|
||||
filterLength = filterLength * int(math.Max(math.Ceil(blur*scale), 1))
|
||||
filterFactor := math.Min(1./(blur*scale), 1)
|
||||
|
||||
coeffs := make([]bool, dy*filterLength)
|
||||
start := make([]int, dy)
|
||||
for y := 0; y < dy; y++ {
|
||||
interpX := scale*(float64(y)+0.5) - 0.5
|
||||
start[y] = int(interpX) - filterLength/2 + 1
|
||||
interpX -= float64(start[y])
|
||||
for i := 0; i < filterLength; i++ {
|
||||
in := (interpX - float64(i)) * filterFactor
|
||||
if in >= -0.5 && in < 0.5 {
|
||||
coeffs[y*filterLength+i] = true
|
||||
} else {
|
||||
coeffs[y*filterLength+i] = false
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return coeffs, start, filterLength
|
||||
}
|
318
vendor/github.com/nfnt/resize/nearest.go
generated
vendored
Normal file
318
vendor/github.com/nfnt/resize/nearest.go
generated
vendored
Normal file
@ -0,0 +1,318 @@
|
||||
/*
|
||||
Copyright (c) 2014, Charlie Vieth <charlie.vieth@gmail.com>
|
||||
|
||||
Permission to use, copy, modify, and/or distribute this software for any purpose
|
||||
with or without fee is hereby granted, provided that the above copyright notice
|
||||
and this permission notice appear in all copies.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
|
||||
REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND
|
||||
FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
|
||||
INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS
|
||||
OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER
|
||||
TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF
|
||||
THIS SOFTWARE.
|
||||
*/
|
||||
|
||||
package resize
|
||||
|
||||
import "image"
|
||||
|
||||
func floatToUint8(x float32) uint8 {
|
||||
// Nearest-neighbor values are always
|
||||
// positive no need to check lower-bound.
|
||||
if x > 0xfe {
|
||||
return 0xff
|
||||
}
|
||||
return uint8(x)
|
||||
}
|
||||
|
||||
func floatToUint16(x float32) uint16 {
|
||||
if x > 0xfffe {
|
||||
return 0xffff
|
||||
}
|
||||
return uint16(x)
|
||||
}
|
||||
|
||||
func nearestGeneric(in image.Image, out *image.RGBA64, scale float64, coeffs []bool, offset []int, filterLength int) {
|
||||
newBounds := out.Bounds()
|
||||
maxX := in.Bounds().Dx() - 1
|
||||
|
||||
for x := newBounds.Min.X; x < newBounds.Max.X; x++ {
|
||||
for y := newBounds.Min.Y; y < newBounds.Max.Y; y++ {
|
||||
var rgba [4]float32
|
||||
var sum float32
|
||||
start := offset[y]
|
||||
ci := y * filterLength
|
||||
for i := 0; i < filterLength; i++ {
|
||||
if coeffs[ci+i] {
|
||||
xi := start + i
|
||||
switch {
|
||||
case xi < 0:
|
||||
xi = 0
|
||||
case xi >= maxX:
|
||||
xi = maxX
|
||||
}
|
||||
r, g, b, a := in.At(xi+in.Bounds().Min.X, x+in.Bounds().Min.Y).RGBA()
|
||||
rgba[0] += float32(r)
|
||||
rgba[1] += float32(g)
|
||||
rgba[2] += float32(b)
|
||||
rgba[3] += float32(a)
|
||||
sum++
|
||||
}
|
||||
}
|
||||
|
||||
offset := (y-newBounds.Min.Y)*out.Stride + (x-newBounds.Min.X)*8
|
||||
value := floatToUint16(rgba[0] / sum)
|
||||
out.Pix[offset+0] = uint8(value >> 8)
|
||||
out.Pix[offset+1] = uint8(value)
|
||||
value = floatToUint16(rgba[1] / sum)
|
||||
out.Pix[offset+2] = uint8(value >> 8)
|
||||
out.Pix[offset+3] = uint8(value)
|
||||
value = floatToUint16(rgba[2] / sum)
|
||||
out.Pix[offset+4] = uint8(value >> 8)
|
||||
out.Pix[offset+5] = uint8(value)
|
||||
value = floatToUint16(rgba[3] / sum)
|
||||
out.Pix[offset+6] = uint8(value >> 8)
|
||||
out.Pix[offset+7] = uint8(value)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func nearestRGBA(in *image.RGBA, out *image.RGBA, scale float64, coeffs []bool, offset []int, filterLength int) {
|
||||
newBounds := out.Bounds()
|
||||
maxX := in.Bounds().Dx() - 1
|
||||
|
||||
for x := newBounds.Min.X; x < newBounds.Max.X; x++ {
|
||||
row := in.Pix[x*in.Stride:]
|
||||
for y := newBounds.Min.Y; y < newBounds.Max.Y; y++ {
|
||||
var rgba [4]float32
|
||||
var sum float32
|
||||
start := offset[y]
|
||||
ci := y * filterLength
|
||||
for i := 0; i < filterLength; i++ {
|
||||
if coeffs[ci+i] {
|
||||
xi := start + i
|
||||
switch {
|
||||
case uint(xi) < uint(maxX):
|
||||
xi *= 4
|
||||
case xi >= maxX:
|
||||
xi = 4 * maxX
|
||||
default:
|
||||
xi = 0
|
||||
}
|
||||
rgba[0] += float32(row[xi+0])
|
||||
rgba[1] += float32(row[xi+1])
|
||||
rgba[2] += float32(row[xi+2])
|
||||
rgba[3] += float32(row[xi+3])
|
||||
sum++
|
||||
}
|
||||
}
|
||||
|
||||
xo := (y-newBounds.Min.Y)*out.Stride + (x-newBounds.Min.X)*4
|
||||
out.Pix[xo+0] = floatToUint8(rgba[0] / sum)
|
||||
out.Pix[xo+1] = floatToUint8(rgba[1] / sum)
|
||||
out.Pix[xo+2] = floatToUint8(rgba[2] / sum)
|
||||
out.Pix[xo+3] = floatToUint8(rgba[3] / sum)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func nearestNRGBA(in *image.NRGBA, out *image.NRGBA, scale float64, coeffs []bool, offset []int, filterLength int) {
|
||||
newBounds := out.Bounds()
|
||||
maxX := in.Bounds().Dx() - 1
|
||||
|
||||
for x := newBounds.Min.X; x < newBounds.Max.X; x++ {
|
||||
row := in.Pix[x*in.Stride:]
|
||||
for y := newBounds.Min.Y; y < newBounds.Max.Y; y++ {
|
||||
var rgba [4]float32
|
||||
var sum float32
|
||||
start := offset[y]
|
||||
ci := y * filterLength
|
||||
for i := 0; i < filterLength; i++ {
|
||||
if coeffs[ci+i] {
|
||||
xi := start + i
|
||||
switch {
|
||||
case uint(xi) < uint(maxX):
|
||||
xi *= 4
|
||||
case xi >= maxX:
|
||||
xi = 4 * maxX
|
||||
default:
|
||||
xi = 0
|
||||
}
|
||||
rgba[0] += float32(row[xi+0])
|
||||
rgba[1] += float32(row[xi+1])
|
||||
rgba[2] += float32(row[xi+2])
|
||||
rgba[3] += float32(row[xi+3])
|
||||
sum++
|
||||
}
|
||||
}
|
||||
|
||||
xo := (y-newBounds.Min.Y)*out.Stride + (x-newBounds.Min.X)*4
|
||||
out.Pix[xo+0] = floatToUint8(rgba[0] / sum)
|
||||
out.Pix[xo+1] = floatToUint8(rgba[1] / sum)
|
||||
out.Pix[xo+2] = floatToUint8(rgba[2] / sum)
|
||||
out.Pix[xo+3] = floatToUint8(rgba[3] / sum)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func nearestRGBA64(in *image.RGBA64, out *image.RGBA64, scale float64, coeffs []bool, offset []int, filterLength int) {
|
||||
newBounds := out.Bounds()
|
||||
maxX := in.Bounds().Dx() - 1
|
||||
|
||||
for x := newBounds.Min.X; x < newBounds.Max.X; x++ {
|
||||
row := in.Pix[x*in.Stride:]
|
||||
for y := newBounds.Min.Y; y < newBounds.Max.Y; y++ {
|
||||
var rgba [4]float32
|
||||
var sum float32
|
||||
start := offset[y]
|
||||
ci := y * filterLength
|
||||
for i := 0; i < filterLength; i++ {
|
||||
if coeffs[ci+i] {
|
||||
xi := start + i
|
||||
switch {
|
||||
case uint(xi) < uint(maxX):
|
||||
xi *= 8
|
||||
case xi >= maxX:
|
||||
xi = 8 * maxX
|
||||
default:
|
||||
xi = 0
|
||||
}
|
||||
rgba[0] += float32(uint16(row[xi+0])<<8 | uint16(row[xi+1]))
|
||||
rgba[1] += float32(uint16(row[xi+2])<<8 | uint16(row[xi+3]))
|
||||
rgba[2] += float32(uint16(row[xi+4])<<8 | uint16(row[xi+5]))
|
||||
rgba[3] += float32(uint16(row[xi+6])<<8 | uint16(row[xi+7]))
|
||||
sum++
|
||||
}
|
||||
}
|
||||
|
||||
xo := (y-newBounds.Min.Y)*out.Stride + (x-newBounds.Min.X)*8
|
||||
value := floatToUint16(rgba[0] / sum)
|
||||
out.Pix[xo+0] = uint8(value >> 8)
|
||||
out.Pix[xo+1] = uint8(value)
|
||||
value = floatToUint16(rgba[1] / sum)
|
||||
out.Pix[xo+2] = uint8(value >> 8)
|
||||
out.Pix[xo+3] = uint8(value)
|
||||
value = floatToUint16(rgba[2] / sum)
|
||||
out.Pix[xo+4] = uint8(value >> 8)
|
||||
out.Pix[xo+5] = uint8(value)
|
||||
value = floatToUint16(rgba[3] / sum)
|
||||
out.Pix[xo+6] = uint8(value >> 8)
|
||||
out.Pix[xo+7] = uint8(value)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func nearestNRGBA64(in *image.NRGBA64, out *image.NRGBA64, scale float64, coeffs []bool, offset []int, filterLength int) {
|
||||
newBounds := out.Bounds()
|
||||
maxX := in.Bounds().Dx() - 1
|
||||
|
||||
for x := newBounds.Min.X; x < newBounds.Max.X; x++ {
|
||||
row := in.Pix[x*in.Stride:]
|
||||
for y := newBounds.Min.Y; y < newBounds.Max.Y; y++ {
|
||||
var rgba [4]float32
|
||||
var sum float32
|
||||
start := offset[y]
|
||||
ci := y * filterLength
|
||||
for i := 0; i < filterLength; i++ {
|
||||
if coeffs[ci+i] {
|
||||
xi := start + i
|
||||
switch {
|
||||
case uint(xi) < uint(maxX):
|
||||
xi *= 8
|
||||
case xi >= maxX:
|
||||
xi = 8 * maxX
|
||||
default:
|
||||
xi = 0
|
||||
}
|
||||
rgba[0] += float32(uint16(row[xi+0])<<8 | uint16(row[xi+1]))
|
||||
rgba[1] += float32(uint16(row[xi+2])<<8 | uint16(row[xi+3]))
|
||||
rgba[2] += float32(uint16(row[xi+4])<<8 | uint16(row[xi+5]))
|
||||
rgba[3] += float32(uint16(row[xi+6])<<8 | uint16(row[xi+7]))
|
||||
sum++
|
||||
}
|
||||
}
|
||||
|
||||
xo := (y-newBounds.Min.Y)*out.Stride + (x-newBounds.Min.X)*8
|
||||
value := floatToUint16(rgba[0] / sum)
|
||||
out.Pix[xo+0] = uint8(value >> 8)
|
||||
out.Pix[xo+1] = uint8(value)
|
||||
value = floatToUint16(rgba[1] / sum)
|
||||
out.Pix[xo+2] = uint8(value >> 8)
|
||||
out.Pix[xo+3] = uint8(value)
|
||||
value = floatToUint16(rgba[2] / sum)
|
||||
out.Pix[xo+4] = uint8(value >> 8)
|
||||
out.Pix[xo+5] = uint8(value)
|
||||
value = floatToUint16(rgba[3] / sum)
|
||||
out.Pix[xo+6] = uint8(value >> 8)
|
||||
out.Pix[xo+7] = uint8(value)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func nearestGray(in *image.Gray, out *image.Gray, scale float64, coeffs []bool, offset []int, filterLength int) {
|
||||
newBounds := out.Bounds()
|
||||
maxX := in.Bounds().Dx() - 1
|
||||
|
||||
for x := newBounds.Min.X; x < newBounds.Max.X; x++ {
|
||||
row := in.Pix[x*in.Stride:]
|
||||
for y := newBounds.Min.Y; y < newBounds.Max.Y; y++ {
|
||||
var gray float32
|
||||
var sum float32
|
||||
start := offset[y]
|
||||
ci := y * filterLength
|
||||
for i := 0; i < filterLength; i++ {
|
||||
if coeffs[ci+i] {
|
||||
xi := start + i
|
||||
switch {
|
||||
case xi < 0:
|
||||
xi = 0
|
||||
case xi >= maxX:
|
||||
xi = maxX
|
||||
}
|
||||
gray += float32(row[xi])
|
||||
sum++
|
||||
}
|
||||
}
|
||||
|
||||
offset := (y-newBounds.Min.Y)*out.Stride + (x - newBounds.Min.X)
|
||||
out.Pix[offset] = floatToUint8(gray / sum)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func nearestGray16(in *image.Gray16, out *image.Gray16, scale float64, coeffs []bool, offset []int, filterLength int) {
|
||||
newBounds := out.Bounds()
|
||||
maxX := in.Bounds().Dx() - 1
|
||||
|
||||
for x := newBounds.Min.X; x < newBounds.Max.X; x++ {
|
||||
row := in.Pix[x*in.Stride:]
|
||||
for y := newBounds.Min.Y; y < newBounds.Max.Y; y++ {
|
||||
var gray float32
|
||||
var sum float32
|
||||
start := offset[y]
|
||||
ci := y * filterLength
|
||||
for i := 0; i < filterLength; i++ {
|
||||
if coeffs[ci+i] {
|
||||
xi := start + i
|
||||
switch {
|
||||
case uint(xi) < uint(maxX):
|
||||
xi *= 2
|
||||
case xi >= maxX:
|
||||
xi = 2 * maxX
|
||||
default:
|
||||
xi = 0
|
||||
}
|
||||
gray += float32(uint16(row[xi+0])<<8 | uint16(row[xi+1]))
|
||||
sum++
|
||||
}
|
||||
}
|
||||
|
||||
offset := (y-newBounds.Min.Y)*out.Stride + (x-newBounds.Min.X)*2
|
||||
value := floatToUint16(gray / sum)
|
||||
out.Pix[offset+0] = uint8(value >> 8)
|
||||
out.Pix[offset+1] = uint8(value)
|
||||
}
|
||||
}
|
||||
}
|
614
vendor/github.com/nfnt/resize/resize.go
generated
vendored
Normal file
614
vendor/github.com/nfnt/resize/resize.go
generated
vendored
Normal file
@ -0,0 +1,614 @@
|
||||
/*
|
||||
Copyright (c) 2012, Jan Schlicht <jan.schlicht@gmail.com>
|
||||
|
||||
Permission to use, copy, modify, and/or distribute this software for any purpose
|
||||
with or without fee is hereby granted, provided that the above copyright notice
|
||||
and this permission notice appear in all copies.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
|
||||
REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND
|
||||
FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
|
||||
INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS
|
||||
OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER
|
||||
TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF
|
||||
THIS SOFTWARE.
|
||||
*/
|
||||
|
||||
// Package resize implements various image resizing methods.
|
||||
//
|
||||
// The package works with the Image interface described in the image package.
|
||||
// Various interpolation methods are provided and multiple processors may be
|
||||
// utilized in the computations.
|
||||
//
|
||||
// Example:
|
||||
// imgResized := resize.Resize(1000, 0, imgOld, resize.MitchellNetravali)
|
||||
package resize
|
||||
|
||||
import (
|
||||
"image"
|
||||
"runtime"
|
||||
"sync"
|
||||
)
|
||||
|
||||
// An InterpolationFunction provides the parameters that describe an
|
||||
// interpolation kernel. It returns the number of samples to take
|
||||
// and the kernel function to use for sampling.
|
||||
type InterpolationFunction int
|
||||
|
||||
// InterpolationFunction constants
|
||||
const (
|
||||
// Nearest-neighbor interpolation
|
||||
NearestNeighbor InterpolationFunction = iota
|
||||
// Bilinear interpolation
|
||||
Bilinear
|
||||
// Bicubic interpolation (with cubic hermite spline)
|
||||
Bicubic
|
||||
// Mitchell-Netravali interpolation
|
||||
MitchellNetravali
|
||||
// Lanczos interpolation (a=2)
|
||||
Lanczos2
|
||||
// Lanczos interpolation (a=3)
|
||||
Lanczos3
|
||||
)
|
||||
|
||||
// kernal, returns an InterpolationFunctions taps and kernel.
|
||||
func (i InterpolationFunction) kernel() (int, func(float64) float64) {
|
||||
switch i {
|
||||
case Bilinear:
|
||||
return 2, linear
|
||||
case Bicubic:
|
||||
return 4, cubic
|
||||
case MitchellNetravali:
|
||||
return 4, mitchellnetravali
|
||||
case Lanczos2:
|
||||
return 4, lanczos2
|
||||
case Lanczos3:
|
||||
return 6, lanczos3
|
||||
default:
|
||||
// Default to NearestNeighbor.
|
||||
return 2, nearest
|
||||
}
|
||||
}
|
||||
|
||||
// values <1 will sharpen the image
|
||||
var blur = 1.0
|
||||
|
||||
// Resize scales an image to new width and height using the interpolation function interp.
|
||||
// A new image with the given dimensions will be returned.
|
||||
// If one of the parameters width or height is set to 0, its size will be calculated so that
|
||||
// the aspect ratio is that of the originating image.
|
||||
// The resizing algorithm uses channels for parallel computation.
|
||||
func Resize(width, height uint, img image.Image, interp InterpolationFunction) image.Image {
|
||||
scaleX, scaleY := calcFactors(width, height, float64(img.Bounds().Dx()), float64(img.Bounds().Dy()))
|
||||
if width == 0 {
|
||||
width = uint(0.7 + float64(img.Bounds().Dx())/scaleX)
|
||||
}
|
||||
if height == 0 {
|
||||
height = uint(0.7 + float64(img.Bounds().Dy())/scaleY)
|
||||
}
|
||||
|
||||
// Trivial case: return input image
|
||||
if int(width) == img.Bounds().Dx() && int(height) == img.Bounds().Dy() {
|
||||
return img
|
||||
}
|
||||
|
||||
if interp == NearestNeighbor {
|
||||
return resizeNearest(width, height, scaleX, scaleY, img, interp)
|
||||
}
|
||||
|
||||
taps, kernel := interp.kernel()
|
||||
cpus := runtime.GOMAXPROCS(0)
|
||||
wg := sync.WaitGroup{}
|
||||
|
||||
// Generic access to image.Image is slow in tight loops.
|
||||
// The optimal access has to be determined from the concrete image type.
|
||||
switch input := img.(type) {
|
||||
case *image.RGBA:
|
||||
// 8-bit precision
|
||||
temp := image.NewRGBA(image.Rect(0, 0, input.Bounds().Dy(), int(width)))
|
||||
result := image.NewRGBA(image.Rect(0, 0, int(width), int(height)))
|
||||
|
||||
// horizontal filter, results in transposed temporary image
|
||||
coeffs, offset, filterLength := createWeights8(temp.Bounds().Dy(), taps, blur, scaleX, kernel)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(temp, i, cpus).(*image.RGBA)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
resizeRGBA(input, slice, scaleX, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
|
||||
// horizontal filter on transposed image, result is not transposed
|
||||
coeffs, offset, filterLength = createWeights8(result.Bounds().Dy(), taps, blur, scaleY, kernel)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(result, i, cpus).(*image.RGBA)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
resizeRGBA(temp, slice, scaleY, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
return result
|
||||
case *image.NRGBA:
|
||||
// 8-bit precision
|
||||
temp := image.NewRGBA(image.Rect(0, 0, input.Bounds().Dy(), int(width)))
|
||||
result := image.NewRGBA(image.Rect(0, 0, int(width), int(height)))
|
||||
|
||||
// horizontal filter, results in transposed temporary image
|
||||
coeffs, offset, filterLength := createWeights8(temp.Bounds().Dy(), taps, blur, scaleX, kernel)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(temp, i, cpus).(*image.RGBA)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
resizeNRGBA(input, slice, scaleX, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
|
||||
// horizontal filter on transposed image, result is not transposed
|
||||
coeffs, offset, filterLength = createWeights8(result.Bounds().Dy(), taps, blur, scaleY, kernel)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(result, i, cpus).(*image.RGBA)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
resizeRGBA(temp, slice, scaleY, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
return result
|
||||
|
||||
case *image.YCbCr:
|
||||
// 8-bit precision
|
||||
// accessing the YCbCr arrays in a tight loop is slow.
|
||||
// converting the image to ycc increases performance by 2x.
|
||||
temp := newYCC(image.Rect(0, 0, input.Bounds().Dy(), int(width)), input.SubsampleRatio)
|
||||
result := newYCC(image.Rect(0, 0, int(width), int(height)), image.YCbCrSubsampleRatio444)
|
||||
|
||||
coeffs, offset, filterLength := createWeights8(temp.Bounds().Dy(), taps, blur, scaleX, kernel)
|
||||
in := imageYCbCrToYCC(input)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(temp, i, cpus).(*ycc)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
resizeYCbCr(in, slice, scaleX, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
|
||||
coeffs, offset, filterLength = createWeights8(result.Bounds().Dy(), taps, blur, scaleY, kernel)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(result, i, cpus).(*ycc)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
resizeYCbCr(temp, slice, scaleY, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
return result.YCbCr()
|
||||
case *image.RGBA64:
|
||||
// 16-bit precision
|
||||
temp := image.NewRGBA64(image.Rect(0, 0, input.Bounds().Dy(), int(width)))
|
||||
result := image.NewRGBA64(image.Rect(0, 0, int(width), int(height)))
|
||||
|
||||
// horizontal filter, results in transposed temporary image
|
||||
coeffs, offset, filterLength := createWeights16(temp.Bounds().Dy(), taps, blur, scaleX, kernel)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(temp, i, cpus).(*image.RGBA64)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
resizeRGBA64(input, slice, scaleX, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
|
||||
// horizontal filter on transposed image, result is not transposed
|
||||
coeffs, offset, filterLength = createWeights16(result.Bounds().Dy(), taps, blur, scaleY, kernel)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(result, i, cpus).(*image.RGBA64)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
resizeRGBA64(temp, slice, scaleY, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
return result
|
||||
case *image.NRGBA64:
|
||||
// 16-bit precision
|
||||
temp := image.NewRGBA64(image.Rect(0, 0, input.Bounds().Dy(), int(width)))
|
||||
result := image.NewRGBA64(image.Rect(0, 0, int(width), int(height)))
|
||||
|
||||
// horizontal filter, results in transposed temporary image
|
||||
coeffs, offset, filterLength := createWeights16(temp.Bounds().Dy(), taps, blur, scaleX, kernel)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(temp, i, cpus).(*image.RGBA64)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
resizeNRGBA64(input, slice, scaleX, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
|
||||
// horizontal filter on transposed image, result is not transposed
|
||||
coeffs, offset, filterLength = createWeights16(result.Bounds().Dy(), taps, blur, scaleY, kernel)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(result, i, cpus).(*image.RGBA64)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
resizeRGBA64(temp, slice, scaleY, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
return result
|
||||
case *image.Gray:
|
||||
// 8-bit precision
|
||||
temp := image.NewGray(image.Rect(0, 0, input.Bounds().Dy(), int(width)))
|
||||
result := image.NewGray(image.Rect(0, 0, int(width), int(height)))
|
||||
|
||||
// horizontal filter, results in transposed temporary image
|
||||
coeffs, offset, filterLength := createWeights8(temp.Bounds().Dy(), taps, blur, scaleX, kernel)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(temp, i, cpus).(*image.Gray)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
resizeGray(input, slice, scaleX, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
|
||||
// horizontal filter on transposed image, result is not transposed
|
||||
coeffs, offset, filterLength = createWeights8(result.Bounds().Dy(), taps, blur, scaleY, kernel)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(result, i, cpus).(*image.Gray)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
resizeGray(temp, slice, scaleY, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
return result
|
||||
case *image.Gray16:
|
||||
// 16-bit precision
|
||||
temp := image.NewGray16(image.Rect(0, 0, input.Bounds().Dy(), int(width)))
|
||||
result := image.NewGray16(image.Rect(0, 0, int(width), int(height)))
|
||||
|
||||
// horizontal filter, results in transposed temporary image
|
||||
coeffs, offset, filterLength := createWeights16(temp.Bounds().Dy(), taps, blur, scaleX, kernel)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(temp, i, cpus).(*image.Gray16)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
resizeGray16(input, slice, scaleX, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
|
||||
// horizontal filter on transposed image, result is not transposed
|
||||
coeffs, offset, filterLength = createWeights16(result.Bounds().Dy(), taps, blur, scaleY, kernel)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(result, i, cpus).(*image.Gray16)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
resizeGray16(temp, slice, scaleY, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
return result
|
||||
default:
|
||||
// 16-bit precision
|
||||
temp := image.NewRGBA64(image.Rect(0, 0, img.Bounds().Dy(), int(width)))
|
||||
result := image.NewRGBA64(image.Rect(0, 0, int(width), int(height)))
|
||||
|
||||
// horizontal filter, results in transposed temporary image
|
||||
coeffs, offset, filterLength := createWeights16(temp.Bounds().Dy(), taps, blur, scaleX, kernel)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(temp, i, cpus).(*image.RGBA64)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
resizeGeneric(img, slice, scaleX, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
|
||||
// horizontal filter on transposed image, result is not transposed
|
||||
coeffs, offset, filterLength = createWeights16(result.Bounds().Dy(), taps, blur, scaleY, kernel)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(result, i, cpus).(*image.RGBA64)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
resizeRGBA64(temp, slice, scaleY, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
return result
|
||||
}
|
||||
}
|
||||
|
||||
func resizeNearest(width, height uint, scaleX, scaleY float64, img image.Image, interp InterpolationFunction) image.Image {
|
||||
taps, _ := interp.kernel()
|
||||
cpus := runtime.GOMAXPROCS(0)
|
||||
wg := sync.WaitGroup{}
|
||||
|
||||
switch input := img.(type) {
|
||||
case *image.RGBA:
|
||||
// 8-bit precision
|
||||
temp := image.NewRGBA(image.Rect(0, 0, input.Bounds().Dy(), int(width)))
|
||||
result := image.NewRGBA(image.Rect(0, 0, int(width), int(height)))
|
||||
|
||||
// horizontal filter, results in transposed temporary image
|
||||
coeffs, offset, filterLength := createWeightsNearest(temp.Bounds().Dy(), taps, blur, scaleX)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(temp, i, cpus).(*image.RGBA)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
nearestRGBA(input, slice, scaleX, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
|
||||
// horizontal filter on transposed image, result is not transposed
|
||||
coeffs, offset, filterLength = createWeightsNearest(result.Bounds().Dy(), taps, blur, scaleY)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(result, i, cpus).(*image.RGBA)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
nearestRGBA(temp, slice, scaleY, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
return result
|
||||
case *image.NRGBA:
|
||||
// 8-bit precision
|
||||
temp := image.NewNRGBA(image.Rect(0, 0, input.Bounds().Dy(), int(width)))
|
||||
result := image.NewNRGBA(image.Rect(0, 0, int(width), int(height)))
|
||||
|
||||
// horizontal filter, results in transposed temporary image
|
||||
coeffs, offset, filterLength := createWeightsNearest(temp.Bounds().Dy(), taps, blur, scaleX)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(temp, i, cpus).(*image.NRGBA)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
nearestNRGBA(input, slice, scaleX, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
|
||||
// horizontal filter on transposed image, result is not transposed
|
||||
coeffs, offset, filterLength = createWeightsNearest(result.Bounds().Dy(), taps, blur, scaleY)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(result, i, cpus).(*image.NRGBA)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
nearestNRGBA(temp, slice, scaleY, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
return result
|
||||
case *image.YCbCr:
|
||||
// 8-bit precision
|
||||
// accessing the YCbCr arrays in a tight loop is slow.
|
||||
// converting the image to ycc increases performance by 2x.
|
||||
temp := newYCC(image.Rect(0, 0, input.Bounds().Dy(), int(width)), input.SubsampleRatio)
|
||||
result := newYCC(image.Rect(0, 0, int(width), int(height)), image.YCbCrSubsampleRatio444)
|
||||
|
||||
coeffs, offset, filterLength := createWeightsNearest(temp.Bounds().Dy(), taps, blur, scaleX)
|
||||
in := imageYCbCrToYCC(input)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(temp, i, cpus).(*ycc)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
nearestYCbCr(in, slice, scaleX, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
|
||||
coeffs, offset, filterLength = createWeightsNearest(result.Bounds().Dy(), taps, blur, scaleY)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(result, i, cpus).(*ycc)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
nearestYCbCr(temp, slice, scaleY, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
return result.YCbCr()
|
||||
case *image.RGBA64:
|
||||
// 16-bit precision
|
||||
temp := image.NewRGBA64(image.Rect(0, 0, input.Bounds().Dy(), int(width)))
|
||||
result := image.NewRGBA64(image.Rect(0, 0, int(width), int(height)))
|
||||
|
||||
// horizontal filter, results in transposed temporary image
|
||||
coeffs, offset, filterLength := createWeightsNearest(temp.Bounds().Dy(), taps, blur, scaleX)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(temp, i, cpus).(*image.RGBA64)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
nearestRGBA64(input, slice, scaleX, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
|
||||
// horizontal filter on transposed image, result is not transposed
|
||||
coeffs, offset, filterLength = createWeightsNearest(result.Bounds().Dy(), taps, blur, scaleY)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(result, i, cpus).(*image.RGBA64)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
nearestRGBA64(temp, slice, scaleY, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
return result
|
||||
case *image.NRGBA64:
|
||||
// 16-bit precision
|
||||
temp := image.NewNRGBA64(image.Rect(0, 0, input.Bounds().Dy(), int(width)))
|
||||
result := image.NewNRGBA64(image.Rect(0, 0, int(width), int(height)))
|
||||
|
||||
// horizontal filter, results in transposed temporary image
|
||||
coeffs, offset, filterLength := createWeightsNearest(temp.Bounds().Dy(), taps, blur, scaleX)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(temp, i, cpus).(*image.NRGBA64)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
nearestNRGBA64(input, slice, scaleX, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
|
||||
// horizontal filter on transposed image, result is not transposed
|
||||
coeffs, offset, filterLength = createWeightsNearest(result.Bounds().Dy(), taps, blur, scaleY)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(result, i, cpus).(*image.NRGBA64)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
nearestNRGBA64(temp, slice, scaleY, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
return result
|
||||
case *image.Gray:
|
||||
// 8-bit precision
|
||||
temp := image.NewGray(image.Rect(0, 0, input.Bounds().Dy(), int(width)))
|
||||
result := image.NewGray(image.Rect(0, 0, int(width), int(height)))
|
||||
|
||||
// horizontal filter, results in transposed temporary image
|
||||
coeffs, offset, filterLength := createWeightsNearest(temp.Bounds().Dy(), taps, blur, scaleX)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(temp, i, cpus).(*image.Gray)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
nearestGray(input, slice, scaleX, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
|
||||
// horizontal filter on transposed image, result is not transposed
|
||||
coeffs, offset, filterLength = createWeightsNearest(result.Bounds().Dy(), taps, blur, scaleY)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(result, i, cpus).(*image.Gray)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
nearestGray(temp, slice, scaleY, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
return result
|
||||
case *image.Gray16:
|
||||
// 16-bit precision
|
||||
temp := image.NewGray16(image.Rect(0, 0, input.Bounds().Dy(), int(width)))
|
||||
result := image.NewGray16(image.Rect(0, 0, int(width), int(height)))
|
||||
|
||||
// horizontal filter, results in transposed temporary image
|
||||
coeffs, offset, filterLength := createWeightsNearest(temp.Bounds().Dy(), taps, blur, scaleX)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(temp, i, cpus).(*image.Gray16)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
nearestGray16(input, slice, scaleX, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
|
||||
// horizontal filter on transposed image, result is not transposed
|
||||
coeffs, offset, filterLength = createWeightsNearest(result.Bounds().Dy(), taps, blur, scaleY)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(result, i, cpus).(*image.Gray16)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
nearestGray16(temp, slice, scaleY, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
return result
|
||||
default:
|
||||
// 16-bit precision
|
||||
temp := image.NewRGBA64(image.Rect(0, 0, img.Bounds().Dy(), int(width)))
|
||||
result := image.NewRGBA64(image.Rect(0, 0, int(width), int(height)))
|
||||
|
||||
// horizontal filter, results in transposed temporary image
|
||||
coeffs, offset, filterLength := createWeightsNearest(temp.Bounds().Dy(), taps, blur, scaleX)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(temp, i, cpus).(*image.RGBA64)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
nearestGeneric(img, slice, scaleX, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
|
||||
// horizontal filter on transposed image, result is not transposed
|
||||
coeffs, offset, filterLength = createWeightsNearest(result.Bounds().Dy(), taps, blur, scaleY)
|
||||
wg.Add(cpus)
|
||||
for i := 0; i < cpus; i++ {
|
||||
slice := makeSlice(result, i, cpus).(*image.RGBA64)
|
||||
go func() {
|
||||
defer wg.Done()
|
||||
nearestRGBA64(temp, slice, scaleY, coeffs, offset, filterLength)
|
||||
}()
|
||||
}
|
||||
wg.Wait()
|
||||
return result
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
// Calculates scaling factors using old and new image dimensions.
|
||||
func calcFactors(width, height uint, oldWidth, oldHeight float64) (scaleX, scaleY float64) {
|
||||
if width == 0 {
|
||||
if height == 0 {
|
||||
scaleX = 1.0
|
||||
scaleY = 1.0
|
||||
} else {
|
||||
scaleY = oldHeight / float64(height)
|
||||
scaleX = scaleY
|
||||
}
|
||||
} else {
|
||||
scaleX = oldWidth / float64(width)
|
||||
if height == 0 {
|
||||
scaleY = scaleX
|
||||
} else {
|
||||
scaleY = oldHeight / float64(height)
|
||||
}
|
||||
}
|
||||
return
|
||||
}
|
||||
|
||||
type imageWithSubImage interface {
|
||||
image.Image
|
||||
SubImage(image.Rectangle) image.Image
|
||||
}
|
||||
|
||||
func makeSlice(img imageWithSubImage, i, n int) image.Image {
|
||||
return img.SubImage(image.Rect(img.Bounds().Min.X, img.Bounds().Min.Y+i*img.Bounds().Dy()/n, img.Bounds().Max.X, img.Bounds().Min.Y+(i+1)*img.Bounds().Dy()/n))
|
||||
}
|
55
vendor/github.com/nfnt/resize/thumbnail.go
generated
vendored
Normal file
55
vendor/github.com/nfnt/resize/thumbnail.go
generated
vendored
Normal file
@ -0,0 +1,55 @@
|
||||
/*
|
||||
Copyright (c) 2012, Jan Schlicht <jan.schlicht@gmail.com>
|
||||
|
||||
Permission to use, copy, modify, and/or distribute this software for any purpose
|
||||
with or without fee is hereby granted, provided that the above copyright notice
|
||||
and this permission notice appear in all copies.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
|
||||
REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND
|
||||
FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
|
||||
INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS
|
||||
OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER
|
||||
TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF
|
||||
THIS SOFTWARE.
|
||||
*/
|
||||
|
||||
package resize
|
||||
|
||||
import (
|
||||
"image"
|
||||
)
|
||||
|
||||
// Thumbnail will downscale provided image to max width and height preserving
|
||||
// original aspect ratio and using the interpolation function interp.
|
||||
// It will return original image, without processing it, if original sizes
|
||||
// are already smaller than provided constraints.
|
||||
func Thumbnail(maxWidth, maxHeight uint, img image.Image, interp InterpolationFunction) image.Image {
|
||||
origBounds := img.Bounds()
|
||||
origWidth := uint(origBounds.Dx())
|
||||
origHeight := uint(origBounds.Dy())
|
||||
newWidth, newHeight := origWidth, origHeight
|
||||
|
||||
// Return original image if it have same or smaller size as constraints
|
||||
if maxWidth >= origWidth && maxHeight >= origHeight {
|
||||
return img
|
||||
}
|
||||
|
||||
// Preserve aspect ratio
|
||||
if origWidth > maxWidth {
|
||||
newHeight = uint(origHeight * maxWidth / origWidth)
|
||||
if newHeight < 1 {
|
||||
newHeight = 1
|
||||
}
|
||||
newWidth = maxWidth
|
||||
}
|
||||
|
||||
if newHeight > maxHeight {
|
||||
newWidth = uint(newWidth * maxHeight / newHeight)
|
||||
if newWidth < 1 {
|
||||
newWidth = 1
|
||||
}
|
||||
newHeight = maxHeight
|
||||
}
|
||||
return Resize(newWidth, newHeight, img, interp)
|
||||
}
|
227
vendor/github.com/nfnt/resize/ycc.go
generated
vendored
Normal file
227
vendor/github.com/nfnt/resize/ycc.go
generated
vendored
Normal file
@ -0,0 +1,227 @@
|
||||
/*
|
||||
Copyright (c) 2014, Charlie Vieth <charlie.vieth@gmail.com>
|
||||
|
||||
Permission to use, copy, modify, and/or distribute this software for any purpose
|
||||
with or without fee is hereby granted, provided that the above copyright notice
|
||||
and this permission notice appear in all copies.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
|
||||
REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND
|
||||
FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
|
||||
INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS
|
||||
OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER
|
||||
TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF
|
||||
THIS SOFTWARE.
|
||||
*/
|
||||
|
||||
package resize
|
||||
|
||||
import (
|
||||
"image"
|
||||
"image/color"
|
||||
)
|
||||
|
||||
// ycc is an in memory YCbCr image. The Y, Cb and Cr samples are held in a
|
||||
// single slice to increase resizing performance.
|
||||
type ycc struct {
|
||||
// Pix holds the image's pixels, in Y, Cb, Cr order. The pixel at
|
||||
// (x, y) starts at Pix[(y-Rect.Min.Y)*Stride + (x-Rect.Min.X)*3].
|
||||
Pix []uint8
|
||||
// Stride is the Pix stride (in bytes) between vertically adjacent pixels.
|
||||
Stride int
|
||||
// Rect is the image's bounds.
|
||||
Rect image.Rectangle
|
||||
// SubsampleRatio is the subsample ratio of the original YCbCr image.
|
||||
SubsampleRatio image.YCbCrSubsampleRatio
|
||||
}
|
||||
|
||||
// PixOffset returns the index of the first element of Pix that corresponds to
|
||||
// the pixel at (x, y).
|
||||
func (p *ycc) PixOffset(x, y int) int {
|
||||
return (y-p.Rect.Min.Y)*p.Stride + (x-p.Rect.Min.X)*3
|
||||
}
|
||||
|
||||
func (p *ycc) Bounds() image.Rectangle {
|
||||
return p.Rect
|
||||
}
|
||||
|
||||
func (p *ycc) ColorModel() color.Model {
|
||||
return color.YCbCrModel
|
||||
}
|
||||
|
||||
func (p *ycc) At(x, y int) color.Color {
|
||||
if !(image.Point{x, y}.In(p.Rect)) {
|
||||
return color.YCbCr{}
|
||||
}
|
||||
i := p.PixOffset(x, y)
|
||||
return color.YCbCr{
|
||||
p.Pix[i+0],
|
||||
p.Pix[i+1],
|
||||
p.Pix[i+2],
|
||||
}
|
||||
}
|
||||
|
||||
func (p *ycc) Opaque() bool {
|
||||
return true
|
||||
}
|
||||
|
||||
// SubImage returns an image representing the portion of the image p visible
|
||||
// through r. The returned value shares pixels with the original image.
|
||||
func (p *ycc) SubImage(r image.Rectangle) image.Image {
|
||||
r = r.Intersect(p.Rect)
|
||||
if r.Empty() {
|
||||
return &ycc{SubsampleRatio: p.SubsampleRatio}
|
||||
}
|
||||
i := p.PixOffset(r.Min.X, r.Min.Y)
|
||||
return &ycc{
|
||||
Pix: p.Pix[i:],
|
||||
Stride: p.Stride,
|
||||
Rect: r,
|
||||
SubsampleRatio: p.SubsampleRatio,
|
||||
}
|
||||
}
|
||||
|
||||
// newYCC returns a new ycc with the given bounds and subsample ratio.
|
||||
func newYCC(r image.Rectangle, s image.YCbCrSubsampleRatio) *ycc {
|
||||
w, h := r.Dx(), r.Dy()
|
||||
buf := make([]uint8, 3*w*h)
|
||||
return &ycc{Pix: buf, Stride: 3 * w, Rect: r, SubsampleRatio: s}
|
||||
}
|
||||
|
||||
// YCbCr converts ycc to a YCbCr image with the same subsample ratio
|
||||
// as the YCbCr image that ycc was generated from.
|
||||
func (p *ycc) YCbCr() *image.YCbCr {
|
||||
ycbcr := image.NewYCbCr(p.Rect, p.SubsampleRatio)
|
||||
var off int
|
||||
|
||||
switch ycbcr.SubsampleRatio {
|
||||
case image.YCbCrSubsampleRatio422:
|
||||
for y := ycbcr.Rect.Min.Y; y < ycbcr.Rect.Max.Y; y++ {
|
||||
yy := (y - ycbcr.Rect.Min.Y) * ycbcr.YStride
|
||||
cy := (y - ycbcr.Rect.Min.Y) * ycbcr.CStride
|
||||
for x := ycbcr.Rect.Min.X; x < ycbcr.Rect.Max.X; x++ {
|
||||
xx := (x - ycbcr.Rect.Min.X)
|
||||
yi := yy + xx
|
||||
ci := cy + xx/2
|
||||
ycbcr.Y[yi] = p.Pix[off+0]
|
||||
ycbcr.Cb[ci] = p.Pix[off+1]
|
||||
ycbcr.Cr[ci] = p.Pix[off+2]
|
||||
off += 3
|
||||
}
|
||||
}
|
||||
case image.YCbCrSubsampleRatio420:
|
||||
for y := ycbcr.Rect.Min.Y; y < ycbcr.Rect.Max.Y; y++ {
|
||||
yy := (y - ycbcr.Rect.Min.Y) * ycbcr.YStride
|
||||
cy := (y/2 - ycbcr.Rect.Min.Y/2) * ycbcr.CStride
|
||||
for x := ycbcr.Rect.Min.X; x < ycbcr.Rect.Max.X; x++ {
|
||||
xx := (x - ycbcr.Rect.Min.X)
|
||||
yi := yy + xx
|
||||
ci := cy + xx/2
|
||||
ycbcr.Y[yi] = p.Pix[off+0]
|
||||
ycbcr.Cb[ci] = p.Pix[off+1]
|
||||
ycbcr.Cr[ci] = p.Pix[off+2]
|
||||
off += 3
|
||||
}
|
||||
}
|
||||
case image.YCbCrSubsampleRatio440:
|
||||
for y := ycbcr.Rect.Min.Y; y < ycbcr.Rect.Max.Y; y++ {
|
||||
yy := (y - ycbcr.Rect.Min.Y) * ycbcr.YStride
|
||||
cy := (y/2 - ycbcr.Rect.Min.Y/2) * ycbcr.CStride
|
||||
for x := ycbcr.Rect.Min.X; x < ycbcr.Rect.Max.X; x++ {
|
||||
xx := (x - ycbcr.Rect.Min.X)
|
||||
yi := yy + xx
|
||||
ci := cy + xx
|
||||
ycbcr.Y[yi] = p.Pix[off+0]
|
||||
ycbcr.Cb[ci] = p.Pix[off+1]
|
||||
ycbcr.Cr[ci] = p.Pix[off+2]
|
||||
off += 3
|
||||
}
|
||||
}
|
||||
default:
|
||||
// Default to 4:4:4 subsampling.
|
||||
for y := ycbcr.Rect.Min.Y; y < ycbcr.Rect.Max.Y; y++ {
|
||||
yy := (y - ycbcr.Rect.Min.Y) * ycbcr.YStride
|
||||
cy := (y - ycbcr.Rect.Min.Y) * ycbcr.CStride
|
||||
for x := ycbcr.Rect.Min.X; x < ycbcr.Rect.Max.X; x++ {
|
||||
xx := (x - ycbcr.Rect.Min.X)
|
||||
yi := yy + xx
|
||||
ci := cy + xx
|
||||
ycbcr.Y[yi] = p.Pix[off+0]
|
||||
ycbcr.Cb[ci] = p.Pix[off+1]
|
||||
ycbcr.Cr[ci] = p.Pix[off+2]
|
||||
off += 3
|
||||
}
|
||||
}
|
||||
}
|
||||
return ycbcr
|
||||
}
|
||||
|
||||
// imageYCbCrToYCC converts a YCbCr image to a ycc image for resizing.
|
||||
func imageYCbCrToYCC(in *image.YCbCr) *ycc {
|
||||
w, h := in.Rect.Dx(), in.Rect.Dy()
|
||||
r := image.Rect(0, 0, w, h)
|
||||
buf := make([]uint8, 3*w*h)
|
||||
p := ycc{Pix: buf, Stride: 3 * w, Rect: r, SubsampleRatio: in.SubsampleRatio}
|
||||
var off int
|
||||
|
||||
switch in.SubsampleRatio {
|
||||
case image.YCbCrSubsampleRatio422:
|
||||
for y := in.Rect.Min.Y; y < in.Rect.Max.Y; y++ {
|
||||
yy := (y - in.Rect.Min.Y) * in.YStride
|
||||
cy := (y - in.Rect.Min.Y) * in.CStride
|
||||
for x := in.Rect.Min.X; x < in.Rect.Max.X; x++ {
|
||||
xx := (x - in.Rect.Min.X)
|
||||
yi := yy + xx
|
||||
ci := cy + xx/2
|
||||
p.Pix[off+0] = in.Y[yi]
|
||||
p.Pix[off+1] = in.Cb[ci]
|
||||
p.Pix[off+2] = in.Cr[ci]
|
||||
off += 3
|
||||
}
|
||||
}
|
||||
case image.YCbCrSubsampleRatio420:
|
||||
for y := in.Rect.Min.Y; y < in.Rect.Max.Y; y++ {
|
||||
yy := (y - in.Rect.Min.Y) * in.YStride
|
||||
cy := (y/2 - in.Rect.Min.Y/2) * in.CStride
|
||||
for x := in.Rect.Min.X; x < in.Rect.Max.X; x++ {
|
||||
xx := (x - in.Rect.Min.X)
|
||||
yi := yy + xx
|
||||
ci := cy + xx/2
|
||||
p.Pix[off+0] = in.Y[yi]
|
||||
p.Pix[off+1] = in.Cb[ci]
|
||||
p.Pix[off+2] = in.Cr[ci]
|
||||
off += 3
|
||||
}
|
||||
}
|
||||
case image.YCbCrSubsampleRatio440:
|
||||
for y := in.Rect.Min.Y; y < in.Rect.Max.Y; y++ {
|
||||
yy := (y - in.Rect.Min.Y) * in.YStride
|
||||
cy := (y/2 - in.Rect.Min.Y/2) * in.CStride
|
||||
for x := in.Rect.Min.X; x < in.Rect.Max.X; x++ {
|
||||
xx := (x - in.Rect.Min.X)
|
||||
yi := yy + xx
|
||||
ci := cy + xx
|
||||
p.Pix[off+0] = in.Y[yi]
|
||||
p.Pix[off+1] = in.Cb[ci]
|
||||
p.Pix[off+2] = in.Cr[ci]
|
||||
off += 3
|
||||
}
|
||||
}
|
||||
default:
|
||||
// Default to 4:4:4 subsampling.
|
||||
for y := in.Rect.Min.Y; y < in.Rect.Max.Y; y++ {
|
||||
yy := (y - in.Rect.Min.Y) * in.YStride
|
||||
cy := (y - in.Rect.Min.Y) * in.CStride
|
||||
for x := in.Rect.Min.X; x < in.Rect.Max.X; x++ {
|
||||
xx := (x - in.Rect.Min.X)
|
||||
yi := yy + xx
|
||||
ci := cy + xx
|
||||
p.Pix[off+0] = in.Y[yi]
|
||||
p.Pix[off+1] = in.Cb[ci]
|
||||
p.Pix[off+2] = in.Cr[ci]
|
||||
off += 3
|
||||
}
|
||||
}
|
||||
}
|
||||
return &p
|
||||
}
|
6
vendor/vendor.json
vendored
6
vendor/vendor.json
vendored
@ -62,6 +62,12 @@
|
||||
"revision": "9d302b58e975387d0b4d9be876622c86cefe64be",
|
||||
"revisionTime": "2017-03-09T17:28:38Z"
|
||||
},
|
||||
{
|
||||
"checksumSHA1": "r5eQHkttko6kxroDEENXbmXKrSs=",
|
||||
"path": "github.com/nfnt/resize",
|
||||
"revision": "891127d8d1b52734debe1b3c3d7e747502b6c366",
|
||||
"revisionTime": "2016-07-24T20:39:20Z"
|
||||
},
|
||||
{
|
||||
"checksumSHA1": "BvfT3pAC+s5qn5nEDf0N7lxpBNg=",
|
||||
"path": "github.com/pressly/chi",
|
||||
|
Loading…
Reference in New Issue
Block a user