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Parse the cascade file only once
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@@ -41,7 +41,7 @@ var (
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cascadeFile = flag.String("cf", "", "Cascade binary file")
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minSize = flag.Int("min", 20, "Minimum size of face")
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maxSize = flag.Int("max", 1000, "Maximum size of face")
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shiftFactor = flag.Float64("shift", 0.1, "Shift detection window by percentage")
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shiftFactor = flag.Float64("shift", 0.15, "Shift detection window by percentage")
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scaleFactor = flag.Float64("scale", 1.1, "Scale detection window by percentage")
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angle = flag.Float64("angle", 0.0, "0.0 is 0 radians and 1.0 is 2*pi radians")
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iouThreshold = flag.Float64("iou", 0.2, "Intersection over union (IoU) threshold")
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@@ -84,6 +84,14 @@ func webcam(w http.ResponseWriter, r *http.Request) {
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log.Fatalf("Error reading the cascade file: %v", err)
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}
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p := pigo.NewPigo()
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// Unpack the binary file. This will return the number of cascade trees,
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// the tree depth, the threshold and the prediction from tree's leaf nodes.
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classifier, err := p.Unpack(cascadeFile)
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if err != nil {
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log.Fatalf("Error reading the cascade file: %s", err)
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}
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mpart := multipart.NewReader(stdout, boundary)
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for {
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p, err := mpart.NextPart()
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@@ -128,14 +136,6 @@ func webcam(w http.ResponseWriter, r *http.Request) {
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},
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}
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pigo := pigo.NewPigo()
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// Unpack the binary file. This will return the number of cascade trees,
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// the tree depth, the threshold and the prediction from tree's leaf nodes.
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classifier, err := pigo.Unpack(cascadeFile)
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if err != nil {
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log.Fatalf("Error reading the cascade file: %s", err)
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}
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// Run the classifier over the obtained leaf nodes and return the detection results.
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// The result contains quadruplets representing the row, column, scale and detection score.
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dets := classifier.RunCascade(cParams, *angle)
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