// Package pigo is a lightweight pure Go face detection, pupil/eyes localization and facial landmark points detection library
// based on Pixel Intensity Comparison-based Object detection paper (https://arxiv.org/pdf/1305.4537.pdf).
// Is platform agnostic and does not require any external dependencies and third party modules.

//
// Face detection API example
//

// First you need to load and parse the binary classifier, then convert the image to grayscale mode
// and finally to run the cascade function which returns a slice containing the row, column, scale and the detection score.

// cascadeFile, err := ioutil.ReadFile("/path/to/cascade/file")
// if err != nil {
// 	log.Fatalf("Error reading the cascade file: %v", err)
// }

// src, err := pigo.GetImage("/path/to/image")
// if err != nil {
// 	log.Fatalf("Cannot open the image file: %v", err)
// }

// pixels := pigo.RgbToGrayscale(src)
// cols, rows := src.Bounds().Max.X, src.Bounds().Max.Y

// cParams := pigo.CascadeParams{
// 	MinSize:     fd.minSize,
// 	MaxSize:     fd.maxSize,
// 	ShiftFactor: fd.shiftFactor,
// 	ScaleFactor: fd.scaleFactor,

// 	ImageParams: pigo.ImageParams{
// 		Pixels: pixels,
// 		Rows:   rows,
// 		Cols:   cols,
// 		Dim:    cols,
// 	},
// }

// pigo := pigo.NewPigo()
// // Unpack the binary file. This will return the number of cascade trees,
// // the tree depth, the threshold and the prediction from tree's leaf nodes.
// classifier, err := pigo.Unpack(cascadeFile)
// if err != nil {
// 	log.Fatalf("Error reading the cascade file: %s", err)
// }

// angle := 0.0 // cascade rotation angle. 0.0 is 0 radians and 1.0 is 2*pi radians

// // Run the classifier over the obtained leaf nodes and return the detection results.
// // The result contains quadruplets representing the row, column, scale and detection score.
// dets := classifier.RunCascade(cParams, angle)

// // Calculate the intersection over union (IoU) of two clusters.
// dets = classifier.ClusterDetections(dets, 0.2)

// For pupil/eyes localization and facial landmark points detection API example check the source code.
package pigo