if cmd_subfolder not in sys.path:
sys.path.insert(0, cmd_subfolder)
import image_utils as utils
import image_transform as transform
ap = argparse.ArgumentParser(
description=
"(Personal peeve) Unwarp a presentation image click at a meeting")
ap.add_argument("-i", "--image", required=True, help="Path to image file")
args = vars(ap.parse_args())
image = cv2.imread(args["image"])
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
cnts = utils.get_contours(gray)
cnt = max(cnts, key=cv2.contourArea)
hull = cv2.convexHull(cnt)
# cv2.drawContours(image,[hull],0, (255,0,0),2)
# cv2.imshow("Outline", image)
# cv2.waitKey()
rect = cv2.minAreaRect(hull)
box = np.int0(cv2.boxPoints(rect))
# cv2.drawContours(image,[box],0, (0,0,255),2)
# cv2.imshow("Outline", image)
# cv2.waitKey()
approx = cv2.approxPolyDP(hull, 0.02 * cv2.arcLength(hull, True), True)
cmd_subfolder = os.path.realpath(
os.path.abspath(os.path.join(os.path.split(inspect.getfile(inspect.currentframe()))[0], "..","..", "Image_Lib")))
if cmd_subfolder not in sys.path:
sys.path.insert(0, cmd_subfolder)
import image_utils as utils
import image_transform as transform
ap = argparse.ArgumentParser(description="(Personal peeve) Unwarp a presentation image click at a meeting")
ap.add_argument("-i", "--image", required=True, help="Path to image file")
args = vars(ap.parse_args())
image = cv2.imread(args["image"])
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
cnts = utils.get_contours(gray)
cnt = max(cnts, key=cv2.contourArea)
hull = cv2.convexHull(cnt)
# cv2.drawContours(image,[hull],0, (255,0,0),2)
# cv2.imshow("Outline", image)
# cv2.waitKey()
rect = cv2.minAreaRect(hull)
box = np.int0(cv2.boxPoints(rect))
# cv2.drawContours(image,[box],0, (0,0,255),2)
# cv2.imshow("Outline", image)
# cv2.waitKey()
return morph.astype(np.uint8)
ap = argparse.ArgumentParser("Finds contour of foot")
ap.add_argument("-i", "--image", required=True, help="Path to image file")
ap.add_argument("-bg", "--background", required=True, help="Path to background file")
args = vars(ap.parse_args())
image = cv2.imread(args["image"])
background = cv2.imread(args["background"])
equlize = cv2.equalizeHist
image_gray = (cv2.cvtColor(image, cv2.COLOR_BGR2GRAY))
background_gray = (cv2.cvtColor(background, cv2.COLOR_BGR2GRAY))
img_cnts = utils.get_contours(image_gray, param = 75)
bg_cnts = utils.get_contours(background_gray, param=75)
image_edges = cv2.drawContours(np.zeros_like(image_gray), img_cnts, -1, 255, 2)
bg_edges = cv2.drawContours(np.zeros_like(background_gray), bg_cnts, -1, 255, 2)
show_image(image_edges, bg_edges, "Edges")
output_diff = image_edges - bg_edges # cv2.absdiff(image_edges, bg_edges)
output_diff[output_diff < 128] = 0
output_diff[output_diff > 128] = 255
kernel1 = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (5, 5))
morphed = morph_close(output_diff, kernel1)
kernel2 = cv2.getStructuringElement(cv2.MORPH_RECT, (11, 3))
morphed = cv2.morphologyEx(morphed, cv2.MORPH_CLOSE, kernel2)
morphed = cv2.erode(morphed, kernel1)
cv2.imshow("Eroded", morphed)
