Library for lungs detection on CXR images

Requirements:- Python 3;- OpenCV3.

Installation:- pip install lungs-finder

You can test your dataset using lungs_viewer.py.It is a program that is displayed on the screenshot above.Usage: lungs_viewer.py /your/dataset TrueThe last parameter defines whether labels will be displayed or not.

You can get lungs using HOG, Haar or LBP.Example:import lungs_finder as lfimage = cv2.imread("/your/image/cxr.png", 0)# Get both lungs image. It uses HOG as main method,# but if HOG found nothing it uses HAAR or LBP.found_lungs = lf.get_lungs(image)if found_lungs is not None:    cv2.imshow("Found lungs", found_lungs)    code = cv2.waitKey(0)# Or you can get left or right lung independently using HOG, Haar or LBP.right_lung_hog_rectangle = lf.find_right_lung_hog(scaled_image)left_lung_hog_rectangle = lf.find_left_lung_hog(scaled_image)right_lung_lbp_rectangle = lf.find_right_lung_lbp(scaled_image)left_lung_lbp_rectangle = lf.find_left_lung_lbp(scaled_image)right_lung_haar_rectangle = lf.find_right_lung_haar(scaled_image)left_lung_haar_rectangle = lf.find_left_lung_haar(scaled_image)if right_lung_hog_rectangle is not None:    x, y, width, height = right_lung_hog_rectangle    right_image = image[y:y + height, x:x + width]    cv2.imshow("Right lung", right_image)    code = cv2.waitKey(0)