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209 lines
5.2 KiB
209 lines
5.2 KiB
package main |
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import ( |
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"fmt" |
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"io/ioutil" |
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"os" |
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"path/filepath" |
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"time" |
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"sort" |
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"sync" |
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"github.com/nsf/termbox-go" |
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"github.com/unbewohnte/VideoToAscii/audio" |
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"github.com/unbewohnte/VideoToAscii/extractor" |
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"github.com/unbewohnte/VideoToAscii/jsonData" |
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"github.com/unbewohnte/VideoToAscii/processor" |
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) |
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var ( |
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settings, firstLaunch = jsonData.GetSettings() |
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WG sync.WaitGroup |
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// how many goroutines you want to be working on processing frames |
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MaxGOROUTINES uint = settings.MaxGOROUTINES |
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// width and height of an ascii text file |
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WIDTH uint = settings.WIDTH |
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HEIGHT uint = settings.HEIGHT |
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// the amount of frames/second you extract from video with ffmpeg |
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ExtractionFPS int = settings.ExtractionFPS |
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// where the audio file will go when you extract it from a video |
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AudioFilePath string = settings.AudioFilePath |
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// shows if you want to play audio or not |
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AudioPlayback bool = settings.AudioPlayback |
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// path to ffmpeg |
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FFMPEGbin = settings.FFMPEGbin |
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// this is where the frames from a video will be |
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VideoFramesOutputPath = settings.VideoFramesOutputPath |
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// path to a video |
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InputVideo = settings.InputVideo |
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// this is where the processed ascii textfiles will be |
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AsciiFilesPath = settings.AsciiFilesPath |
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// character set for "asciifying" images |
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asciiChars = settings.AsciiChars |
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) |
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func main() { |
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// 1) extract frames && audio (optional) from a video |
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// 2) process videoframes into Ascii |
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// 3) it`s ready to play |
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if firstLaunch { |
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fmt.Println("Created settings file; closing in 10 seconds...") |
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time.Sleep(time.Second * 10) |
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os.Exit(0) |
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} |
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fmt.Print("Extraction mode (0), playback mode (1), processing images mode (2), Extract audio (3) ? (0,1,2,3) : ") |
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var input string |
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fmt.Scanln(&input) |
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if input == "0" || input == "0 " { |
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t0 := time.Now() |
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fmt.Println("Extracting images...") |
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gff := extractor.GetFFMPEG(FFMPEGbin) |
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extractor.ExtractFrames(gff, InputVideo, VideoFramesOutputPath, ExtractionFPS) |
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FinishTime := time.Now().Sub(t0) |
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fmt.Printf("Done in %v", FinishTime) |
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fmt.Scanln() |
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} else if input == "1" || input == "1 " { |
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asciiFiles, err := ioutil.ReadDir(AsciiFilesPath) |
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if err != nil { |
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panic(err) |
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} |
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var Sequence []string |
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for _, file := range asciiFiles { |
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if file.Name()[len(file.Name())-3:] == "txt" { |
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frame, readErr := ioutil.ReadFile(filepath.Join(AsciiFilesPath, file.Name())) |
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if readErr != nil { |
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panic(readErr) |
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} |
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Sequence = append(Sequence, string(frame)) |
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} |
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} |
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err = termbox.Init() |
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if err != nil { |
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panic(err) |
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} |
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timeForEachFrame := time.Duration(time.Second / time.Duration(ExtractionFPS)) |
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t0 := time.Now() |
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if AudioPlayback == true { |
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go audio.PlayAudio(filepath.Join(AudioFilePath, "extractedAudio.mp3")) |
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} |
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var counter uint64 = 0 |
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var nextFrameTime time.Time = time.Now() |
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for { |
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if counter < uint64(len(Sequence)) { |
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now := time.Now() |
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if now.After(nextFrameTime) { |
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nextFrameTime = now.Add(timeForEachFrame) |
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showFrame(Sequence[counter]) |
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counter++ |
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} |
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} else { |
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termbox.Close() |
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break |
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} |
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} |
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fmt.Printf("Took %v", time.Now().Sub(t0)) |
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fmt.Scanln() |
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} else if input == "2" || input == "2 " { |
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t0 := time.Now() |
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fmt.Println("Processing images...") |
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files, err := ioutil.ReadDir(VideoFramesOutputPath) |
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if err != nil { |
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panic(err) |
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} |
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var sortedFilenames []string |
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for _, f := range files { |
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if f.Name()[len(f.Name())-3:] == extractor.ImageFileExtention { |
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sortedFilenames = append(sortedFilenames, f.Name()) |
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} |
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} |
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sort.Strings(sortedFilenames) |
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jobs := make(chan *processor.DataForAscii, len(sortedFilenames)) |
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for i := 0; i < int(MaxGOROUTINES); i++ { |
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WG.Add(1) |
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go Worker(jobs, &WG) |
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} |
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var counter uint64 = 0 |
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for { |
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if counter == uint64(len(sortedFilenames)) { |
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break |
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} |
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if len(jobs) < int(MaxGOROUTINES) { |
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img, err := processor.GetImage(filepath.Join(VideoFramesOutputPath, sortedFilenames[counter])) |
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if err != nil { |
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panic(err) |
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} |
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jobs <- &processor.DataForAscii{ |
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Img: img, |
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Width: WIDTH, |
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Height: HEIGHT, |
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Filename: fmt.Sprintf("%010d_ascii.txt", counter), |
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} |
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img = nil |
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counter++ |
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} |
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} |
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close(jobs) |
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WG.Wait() |
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FinishTime := time.Now().Sub(t0) |
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fmt.Printf("Done in %v", FinishTime) |
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fmt.Scanln() |
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} else if input == "3" || input == "3 " { |
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t0 := time.Now() |
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fmt.Println("Extracting audio...") |
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gff := extractor.GetFFMPEG(FFMPEGbin) |
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extractor.ExtractAudio(gff, InputVideo, AudioFilePath) |
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FinishTime := time.Now().Sub(t0) |
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fmt.Printf("Done in %v", FinishTime) |
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fmt.Scanln() |
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} |
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} |
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func Worker(jobs <-chan *processor.DataForAscii, WG *sync.WaitGroup) { |
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defer WG.Done() |
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for data := range jobs { |
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processor.ASCIIfy(asciiChars, data.Img, data.Width, data.Height, filepath.Join(AsciiFilesPath, data.Filename)) |
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data = nil |
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} |
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} |
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func showFrame(frame string) { |
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termbox.SetCursor(0, 0) |
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var x, y int = 0, 0 |
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for _, char := range frame { |
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termbox.HideCursor() |
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if string(char) == "\n" { |
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y++ |
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x = 0 |
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} else { |
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termbox.SetCell(x, y, char, termbox.ColorWhite, termbox.ColorBlack) |
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x++ |
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} |
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} |
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termbox.Flush() |
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}
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