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https://github.com/opencv/opencv_contrib.git
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522a062cad
Julia Bindings GSoC - phase1 * Julia Phase 1 first commit * a few fixes to compile julia bindings on mac * Readme changes * Allow usage before installation and update README * Add CxxWrap installation and fix Mac build bug * CMake fixes and test refactoring * add tests, fix trailing whitespace, disable array-vec conversion * Fix trailing whiteline and warning * Add module documentation and fix tests in CMake * Change copyright block, CMake variable name * copy => copy_if_different * fix status dump and return lines * Remove Julia_Found outside init.cmake * change indentation Co-authored-by: Vadim Pisarevsky <vadim.pisarevsky@gmail.com>
60 lines
1.6 KiB
Julia
60 lines
1.6 KiB
Julia
using OpenCV
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function detect(img::OpenCV.InputArray, cascade)
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rects = OpenCV.detectMultiScale(cascade, img, scaleFactor=1.3, minNeighbors=Int32(4), minSize=OpenCV.Size{Int32}(30, 30), flags=OpenCV.CASCADE_SCALE_IMAGE)
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processed_rects = []
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for rect in rects
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push!(processed_rects, (rect.x, rect.y, rect.width+rect.x, rect.height+rect.y))
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end
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return processed_rects
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end
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function draw_rects(img, rects, color)
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for x in rects
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OpenCV.rectangle(img, OpenCV.Point{Int32}(x[1], x[2]), OpenCV.Point{Int32}(x[3], x[4]), color, thickness = Int32(2))
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end
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end
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cap = OpenCV.VideoCapture(Int32(0))
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# Replace the paths for the classifiers before running
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cascade = OpenCV.CascadeClassifier("haarcascade_frontalface_alt.xml")
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nested = OpenCV.CascadeClassifier("haarcascade_eye.xml")
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OpenCV.namedWindow("facedetect")
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while true
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ret, img = OpenCV.read(cap)
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if ret==false
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print("Webcam stopped")
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break
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end
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gray = OpenCV.cvtColor(img, OpenCV.COLOR_BGR2GRAY)
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gray = OpenCV.equalizeHist(gray)
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rects = detect(gray, cascade)
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vis = copy(img)
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draw_rects(vis, rects, (0.0, 255.0, 0.0))
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if ~OpenCV.empty(nested)
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for x in rects
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roi = view(gray, :, Int(x[1]):Int(x[3]), Int(x[2]):Int(x[4]))
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subrects = detect(roi, nested)
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draw_view = view(vis, :, Int(x[1]):Int(x[3]), Int(x[2]):Int(x[4]))
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draw_rects(draw_view, subrects, (255.0, 0.0, 0.0))
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end
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end
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OpenCV.imshow("facedetect", vis)
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if OpenCV.waitKey(Int32(5))==27
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break
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end
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end
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OpenCV.release(cap)
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OpenCV.destroyAllWindows()
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print("Stopped")
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