diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..0aa4a07 --- /dev/null +++ b/.gitignore @@ -0,0 +1 @@ +*haar* diff --git a/cat.png b/cat.png deleted file mode 100644 index 2950f50..0000000 Binary files a/cat.png and /dev/null differ diff --git a/cat2.png b/cat2.png deleted file mode 100644 index 159fd27..0000000 Binary files a/cat2.png and /dev/null differ diff --git a/dir.py b/dir.py new file mode 100644 index 0000000..47f1135 --- /dev/null +++ b/dir.py @@ -0,0 +1,9 @@ + +import os + +cat_dir = "img/cat" +dog_dir = "img/dog" + +for directory in [cat_dir, dog_dir]: + for fn in os.listdir(directory): + print directory, fn \ No newline at end of file diff --git a/dog.png b/dog.png deleted file mode 100644 index 189cf78..0000000 Binary files a/dog.png and /dev/null differ diff --git a/dog2.png b/dog2.png deleted file mode 100644 index 2919b7d..0000000 Binary files a/dog2.png and /dev/null differ diff --git a/facer.rb b/facer.rb new file mode 100644 index 0000000..6e520b4 --- /dev/null +++ b/facer.rb @@ -0,0 +1,41 @@ +require 'rubygems' +require 'opencv' + +face_detectors = %w( + /usr/local/share/opencv/haarcascades/haarcascade_frontalface_default.xml +).collect { |fd| OpenCV::CvHaarClassifierCascade::load(fd) } + + +file_names = Dir.glob(ARGV[0] || "/Users/sandro/Ruby/image_labs/lib/facer/euruko2/*.jpg") + +file_names.each_with_index do |file_name,i| + + face_rectangles = [] + opencv_load = OpenCV::IplImage.load(file_name) + face_detectors.each_with_index do |face_detector,k| + face_detector.detect_objects(opencv_load).each do |rect| + face_rectangles << [ + rect.top_left.x, rect.top_left.y, + rect.top_right.x - rect.top_left.x, + rect.bottom_left.y - rect.top_left.y + ] + end + end + + File.open("#{File.basename(file_name)}.html","w") do |file| + file.write <<-HTML + + + #{ face_rectangles.collect do |(x,y,w,h)| + "
" + end.join("\n") } + + + HTML + end + + puts "End #{file_name}" + +end + diff --git a/find_lines.py b/find_lines.py index d43b693..c497a97 100755 --- a/find_lines.py +++ b/find_lines.py @@ -1,42 +1,70 @@ #!/usr/bin/env python -import numpy as np -from math import pi -import cv2 -import cv -import sys +import cv2, cv, sys, math, os, numpy +from scipy.spatial import KDTree -if len(sys.argv) > 1: - fn = sys.argv[1] - print 'loading %s ...' % fn - img1 = cv2.imread(fn, 0) - img = cv.LoadImage(fn, cv.CV_LOAD_IMAGE_GRAYSCALE) - size = cv.GetSize(img) +def extractFeatures(label): - temp = cv.CreateImage(size, img.depth, img.nChannels) - print temp - cv.Smooth(img, temp) + directory = "img/" + label + "/" - canny = cv2.Canny(temp, 50, 100) - color_dst = cv2.cvtColor(canny, cv2.COLOR_GRAY2BGR) - lines = cv2.HoughLinesP(canny, 1, pi/90, 20, np.array([]), 5) + features = [] - try: - for line in lines[0]: - cv2.line(color_dst, (line[0], line[1]), (line[2], line[3]), cv.RGB(255,0,0), 1, 8) - except: - pass + for fn in os.listdir(directory): - print lines[0].size + img = cv2.imread(directory + fn, 0) - cv2.namedWindow("Original") - cv2.imshow("Original", img) + #temp = cv.CreateImage((100,100), cv.CV_8U, 1) + #cv.Smooth(img, temp) - cv2.namedWindow('Lines image') - cv2.imshow('Lines image', color_dst) + canny = cv2.Canny(img, 50, 100) + color_dst = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR) - cv2.waitKey() + # find colored + black_pixels = numpy.count_nonzero(img) + + # find lines lines + lines = cv2.HoughLinesP(canny, 1, math.pi/360, 5, None, 10, 1) + + lengths = [] + angles = [] + try: + for line in lines[0]: + x1, y1, x2, y2 = line + #cv2.line(color_dst, (x1, y1), (x2, y2), cv.RGB(255,0,0), 1, 8) + length = int(math.sqrt(math.pow((x1-x2), 2) + math.pow((y1-y2), 2))) + lengths.append(length) + + angle = int(math.degrees(math.atan((y1-y2) / (x1-x2)))) + angles.append(angle) + except: + pass + + # print out everything + lines_count = len(lengths) + mid_length = sum(lengths) / lines_count + mid_angle = sum(angles) / lines_count + + features.append([[lines_count, mid_length, mid_angle, black_pixels], label]) + + #cv2.namedWindow("Original") + #cv2.imshow("Original", img) + + #cv2.namedWindow('Lines image ' + fn) + #cv2.imshow('Lines image ' + fn, color_dst) + + return features -else: - print "Please give a image path" \ No newline at end of file +if __name__ == "__main__": + arr = extractFeatures("cat") + extractFeatures("dog") + test_label = arr[0][1] + test_feature = arr[0][0] + labels = map(lambda a: a[1], arr)[1:] + features = map(lambda a: a[0], arr)[1:] + + tree = KDTree(features) + d, i = tree.query(test_feature) + + + print test_label + " is predicted to be a " + labels[i] + diff --git a/img/.DS_Store b/img/.DS_Store new file mode 100644 index 0000000..5008ddf Binary files /dev/null and b/img/.DS_Store differ diff --git a/img/cat/1.png b/img/cat/1.png new file mode 100644 index 0000000..f5d2fa2 Binary files /dev/null and b/img/cat/1.png differ diff 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b/img/dog/63.png new file mode 100644 index 0000000..e80c861 Binary files /dev/null and b/img/dog/63.png differ diff --git a/img/dog/64.png b/img/dog/64.png new file mode 100644 index 0000000..9ddf64a Binary files /dev/null and b/img/dog/64.png differ diff --git a/img/dog/7.png b/img/dog/7.png new file mode 100644 index 0000000..6922a37 Binary files /dev/null and b/img/dog/7.png differ diff --git a/img/dog/8.png b/img/dog/8.png new file mode 100644 index 0000000..b156b3a Binary files /dev/null and b/img/dog/8.png differ diff --git a/img/dog/9.png b/img/dog/9.png new file mode 100644 index 0000000..e241d0b Binary files /dev/null and b/img/dog/9.png differ diff --git a/surf.py b/surf.py new file mode 100644 index 0000000..fac6a85 --- /dev/null +++ b/surf.py @@ -0,0 +1,37 @@ +#!/usr/bin/env python + +import cv2, sys + +#Create object to read images from camera 0 +#cam = cv2.VideoCapture(0) + +#Initialize SURF object +surf = cv2.SURF(85) + +#Set desired radius +rad = 2 + +#while True: +#Get image from webcam and convert to greyscale +#ret, img = cam.read() +fn = sys.argv[1] +gray = cv2.imread(fn, 0) +#gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) + +#Detect keypoints and descriptors in greyscale image +keypoints, descriptors = surf.detect(gray) + +#Draw a small red circle with the desired radius +#at the (x, y) location for each feature found +for kp in keypoints: + x = int(kp.pt[0]) + y = int(kp.pt[1]) + cv2.circle(img, (x, y), rad, (0, 0, 255)) + +#Display colour image with detected features +cv2.imshow("features", img) + +#Sleep infinite loop for ~10ms +#Exit if user presses +#if cv2.waitKey(10) == 27: +# break \ No newline at end of file diff --git a/test.png b/test.png deleted file mode 100644 index 7a8bc31..0000000 Binary files a/test.png and /dev/null differ diff --git a/video.py b/video.py new file mode 100644 index 0000000..7e29c87 --- /dev/null +++ b/video.py @@ -0,0 +1,12 @@ +import cv + +capture = cv.CaptureFromCAM(3) + +while (cv.WaitKey(15)==-1): + img = cv.QueryFrame(capture) + if img: + #image = DetectFace(img, faceCascade) + cv.ShowImage("face detection test", img) + print type(img) + +cv.ReleaseCapture(capture) \ No newline at end of file