People: Add face detection logs #22
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e8bfec677f
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2 changed files with 6 additions and 4 deletions
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@ -140,11 +140,11 @@ func (fd *Detector) Detect(fileName string) (faces []pigo.Detection, params pigo
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var maxSize int
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if cols < 20 || rows < 20 || cols < fd.minSize || rows < fd.minSize {
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return faces, params, fmt.Errorf("image too small (%dx%d)", cols, rows)
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return faces, params, fmt.Errorf("image size %dx%d is too small", cols, rows)
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} else if cols < rows {
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maxSize = cols - 10
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maxSize = cols - 8
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} else {
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maxSize = rows - 10
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maxSize = rows - 8
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}
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imageParams := &pigo.ImageParams{
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@ -166,6 +166,8 @@ func (fd *Detector) Detect(fileName string) (faces []pigo.Detection, params pigo
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ImageParams: *imageParams,
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}
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log.Debugf("faces: image size %dx%d, face size min %d, max %d", cols, rows, params.MinSize, params.MaxSize)
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// Run the classifier over the obtained leaf nodes and return the Face results.
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// The result contains quadruplets representing the row, column, scale and Face score.
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faces = classifier.RunCascade(params, fd.angle)
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@ -150,7 +150,7 @@ func (t *Net) getFaceCrop(fileName, cacheHash string, f *Face) (img image.Image,
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} else if img, err := imaging.Open(cacheFile); err != nil {
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log.Errorf("faces: failed loading %s", filepath.Base(cacheFile))
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} else {
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log.Debugf("faces: using %s", filepath.Base(cacheFile))
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log.Debugf("faces: extracting from %s", filepath.Base(cacheFile))
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return img, nil
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}
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