mirror of https://bitbucket.org/ausocean/av.git
199 lines
6.0 KiB
Go
199 lines
6.0 KiB
Go
//go:build !nocv
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// +build !nocv
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/*
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DESCRIPTION
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Provides the methods for the turbidity probe using GoCV. Turbidity probe
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will collect the most recent frames in a buffer and write the latest sharpness
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and contrast scores to the probe.
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AUTHORS
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Russell Stanley <russell@ausocean.org>
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LICENSE
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Copyright (C) 2021-2022 the Australian Ocean Lab (AusOcean)
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It is free software: you can redistribute it and/or modify them
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under the terms of the GNU General Public License as published by the
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Free Software Foundation, either version 3 of the License, or (at your
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option) any later version.
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It is distributed in the hope that it will be useful, but WITHOUT
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ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
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for more details.
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You should have received a copy of the GNU General Public License
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in gpl.txt. If not, see http://www.gnu.org/licenses.
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*/
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package main
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import (
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"bytes"
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"errors"
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"fmt"
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"os"
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"time"
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"gocv.io/x/gocv"
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"gonum.org/v1/gonum/stat"
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"bitbucket.org/ausocean/av/codec/h264"
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"bitbucket.org/ausocean/av/turbidity"
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"bitbucket.org/ausocean/utils/logger"
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)
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// Misc constants.
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const (
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maxImages = 1 // Max number of images read when evaluating turbidity.
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bufferLimit = 20000 // 20KB
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)
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// Turbidity sensor constants.
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const (
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k1, k2 = 4, 4 // Block size, must be divisible by the size template with no remainder.
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filterSize = 3 // Sobel filter size.
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scale = 1.0 // Amount of scale applied to sobel filter values.
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alpha = 1.0 // Paramater for contrast equation.
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)
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// turbidityProbe will hold the latest video data and calculate the sharpness and contrast scores.
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// These scores will be sent to netreceiver based on the given delay.
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type turbidityProbe struct {
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sharpness, contrast float64
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delay time.Duration
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ticker time.Ticker
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ts *turbidity.TurbiditySensor
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log logger.Logger
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buffer *bytes.Buffer
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}
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// NewTurbidityProbe returns a new turbidity probe.
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func NewTurbidityProbe(log logger.Logger, delay time.Duration) (*turbidityProbe, error) {
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tp := new(turbidityProbe)
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tp.log = log
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tp.delay = delay
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tp.ticker = *time.NewTicker(delay)
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tp.buffer = bytes.NewBuffer(*new([]byte))
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// Create the turbidity sensor.
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standard := gocv.IMRead("../../turbidity/images/default.jpg", gocv.IMReadGrayScale)
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template := gocv.IMRead("../../turbidity/images/template.jpg", gocv.IMReadGrayScale)
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ts, err := turbidity.NewTurbiditySensor(template, standard, k1, k2, filterSize, scale, alpha, log)
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if err != nil {
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return nil, fmt.Errorf("failed to create turbidity sensor: %w", err)
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}
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tp.ts = ts
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return tp, nil
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}
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// Write, reads input h264 frames in the form of a byte stream and writes the the sharpness and contrast
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// scores of a video to the the turbidity probe.
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func (tp *turbidityProbe) Write(p []byte) (int, error) {
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if tp.buffer.Len() == 0 {
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// The first entry in the buffer must be a keyframe to speed up decoding.
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video, err := h264.Trim(p)
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if err != nil {
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return 0, fmt.Errorf("could not trim h264: %w", err)
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}
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n, err := tp.buffer.Write(video)
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if err != nil {
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tp.buffer.Reset()
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return 0, fmt.Errorf("could not write trimmed video to buffer: %w", err)
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}
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tp.log.Log(logger.Debug, "video trimmed, write keyframe complete", "size(bytes)", n)
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} else if tp.buffer.Len() < bufferLimit {
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// Buffer is limited to speed up decoding.
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n, err := tp.buffer.Write(p)
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if err != nil {
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tp.buffer.Reset()
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return 0, fmt.Errorf("could not write to buffer: %w", err)
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}
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tp.log.Log(logger.Debug, "write to video buffer complete", "size(bytes)", n)
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}
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select {
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case <-tp.ticker.C:
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tp.log.Log(logger.Debug, "beginning turbidity calculation")
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startTime := time.Now()
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err := tp.turbidityCalculation()
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if err != nil {
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return 0, fmt.Errorf("could not calculate turbidity: %w", err)
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}
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tp.log.Log(logger.Debug, "finished turbidity calculation", "total duration (sec)", time.Since(startTime).Seconds())
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default:
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}
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return len(p), nil
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}
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func (tp *turbidityProbe) Close() error {
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return nil
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}
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func (tp *turbidityProbe) turbidityCalculation() error {
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var imgs []gocv.Mat
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img := gocv.NewMat()
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// Write byte array to a temp file.
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file, err := os.CreateTemp("temp", "video*.h264")
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if err != nil {
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return fmt.Errorf("failed to create temp file: %w", err)
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}
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tp.log.Log(logger.Debug, "writing to file", "buffer size(bytes)", tp.buffer.Len())
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_, err = file.Write(tp.buffer.Bytes())
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if err != nil {
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return fmt.Errorf("failed to write to temporary file: %w", err)
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}
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tp.log.Log(logger.Debug, "write to file success", "buffer size(bytes)", tp.buffer.Len())
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tp.buffer.Reset()
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// Open the video file.
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startTime := time.Now()
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vc, err := gocv.VideoCaptureFile(file.Name())
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if err != nil {
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return fmt.Errorf("failed to open video file: %w", err)
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}
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tp.log.Log(logger.Debug, "video capture open", "total duration (sec)", time.Since(startTime).Seconds())
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// Store each frame until maximum amount is reached.
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startTime = time.Now()
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for vc.Read(&img) && len(imgs) < maxImages {
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imgs = append(imgs, img.Clone())
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}
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if len(imgs) <= 0 {
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return errors.New("no frames found")
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}
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tp.log.Log(logger.Debug, "read time", "total duration (sec)", time.Since(startTime).Seconds())
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// Process video data to get saturation and contrast scores.
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res, err := tp.ts.Evaluate(imgs)
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if err != nil {
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err_ := cleanUp(file.Name(), vc)
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if err_ != nil {
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return fmt.Errorf("could not clean up: %v, after evaluation error: %w", err_, err)
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}
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return fmt.Errorf("evaluation error: %w", err)
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}
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tp.contrast = stat.Mean(res.Contrast, nil)
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tp.sharpness = stat.Mean(res.Sharpness, nil)
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err = cleanUp(file.Name(), vc)
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if err != nil {
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return fmt.Errorf("could not clean up: %w", err)
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}
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return nil
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}
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func cleanUp(file string, vc *gocv.VideoCapture) error {
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err := os.Remove(file)
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if err != nil {
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return fmt.Errorf("could not remove temp file: %w", err)
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}
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err = vc.Close()
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if err != nil {
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return fmt.Errorf("could not close video capture device: %w", err)
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}
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return nil
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}
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