def generate_descriptor_stack(image_folder):
print(image_folder)
gesture_types = ["A", "B", "C", "Five", "Point", "V"]
stack_of_descriptors = []
labels_array = []
for gesture_type in gesture_types:
gesture_path = image_folder + gesture_type
print("gesture_path", gesture_path)
for gesture_image in glob.glob(gesture_path + '/uniform/*.ppm'):
hand = cv.imread(
gesture_image) # Replace hand.jpg with gesture_image
#print("hand", hand)
detector = skinDetector(gesture_image)
detector.find_skin()
palmX, palmY = findPalmPoint(detector.binary_mask_image)
print("Palm X: ", palmX, " Palm Y: ", palmY)
mcX, mcY = findMassCenter(detector.binary_mask_image)
print("Mc X: ", mcX, " Mc Y: ", mcY)
thresh_mask = detector.binary_mask_image.astype(np.uint8)
im, contours, hierarchy = cv.findContours(
detector.binary_mask_image, cv.RETR_EXTERNAL,
cv.CHAIN_APPROX_NONE)
cv.drawContours(hand, contours, -1, (255, 0, 0), 3)
distSig = findHandDistanceSignature((palmX, palmY), (mcX, mcY),
contours)
print("Contour Shape: ", len(contours))
f = plt.figure()
f.add_subplot(1, 2, 1)
handPlt = cv.drawMarker(hand, (palmX, palmY), (255, 0, 0),
markerType=cv.MARKER_CROSS,
markerSize=15,
thickness=2,
line_type=cv.LINE_AA)
handPlt = cv.drawMarker(handPlt, (mcX, mcY), (0, 255, 0),
markerType=cv.MARKER_CROSS,
markerSize=15,
thickness=2,
line_type=cv.LINE_AA)
plt.imshow(handPlt)
f.add_subplot(1, 2, 2)
plt.imshow(detector.binary_mask_image)
stack_of_descriptors.append(distSig)
labels_array.append(gesture_type)
print("DEscriptor sHape", np.array(stack_of_descriptors).shape)
return stack_of_descriptors, labels_array
def show_webcam():
cam = cv2.VideoCapture(0)
while True:
ret, img = cam.read()
if not ret:
break
cv2.imshow('Cam input', img)
k = cv2.waitKey(1)
if k % 256 == 27: # esc to exit
break
elif k % 256 == 32: # space to capture frame
detector = skinDetector(img)
detector.find_skin()
cv2.destroyAllWindows()
cam.release()
def generate_descriptor(gesture_image):
print("gesture_image", gesture_image)
hand = cv.imread(gesture_image) # Replace hand.jpg with gesture_image
#print("hand", hand)
detector = skinDetector(gesture_image)
detector.find_skin()
palmX, palmY = findPalmPoint(detector.binary_mask_image)
print("Palm X: ", palmX, " Palm Y: ", palmY)
mcX, mcY = findMassCenter(detector.binary_mask_image)
print("Mc X: ", mcX, " Mc Y: ", mcY)
thresh_mask = detector.binary_mask_image.astype(np.uint8)
im, contours, hierarchy = cv.findContours(detector.binary_mask_image,
cv.RETR_EXTERNAL,
cv.CHAIN_APPROX_NONE)
cv.drawContours(hand, contours, -1, (255, 0, 0), 3)
distSig = findHandDistanceSignature((palmX, palmY), (mcX, mcY), contours)
print("Contour Shape: ", len(contours))
return distSig
def main():
if (len(sys.argv) < 2):
show_webcam()
else:
detector = skinDetector(cv2.imread(sys.argv[1]))
detector.find_skin()
import sys # for Command Line Arguments from jeanCV import skinDetector imageName = sys.argv[1] detector = skinDetector(imageName) detector.find_skin()