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hsv_tracker.py
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hsv_tracker.py
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import cv2
import numpy as np
from picamera import PiCamera
from picamera.array import PiRGBArray
def nothing(x):
pass
def hsv_trackbar(filename='test'):
save_file = '{}.out'.format(filename)
cap = cv2.VideoCapture(0)
cv2.namedWindow("Trackbars")
cv2.createTrackbar("L - H", "Trackbars", 0, 179, nothing)
cv2.createTrackbar("L - S", "Trackbars", 0, 255, nothing)
cv2.createTrackbar("L - V", "Trackbars", 0, 255, nothing)
cv2.createTrackbar("U - H", "Trackbars", 179, 179, nothing)
cv2.createTrackbar("U - S", "Trackbars", 255, 255, nothing)
cv2.createTrackbar("U - V", "Trackbars", 255, 255, nothing)
while cap.isOpened():
ret, frame = cap.read()
if not ret:
break
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
l_h = cv2.getTrackbarPos("L - H", "Trackbars")
l_s = cv2.getTrackbarPos("L - S", "Trackbars")
l_v = cv2.getTrackbarPos("L - V", "Trackbars")
u_h = cv2.getTrackbarPos("U - H", "Trackbars")
u_s = cv2.getTrackbarPos("U - S", "Trackbars")
u_v = cv2.getTrackbarPos("U - V", "Trackbars")
lower_hsv = np.array([l_h, l_s, l_v])
upper_hsv = np.array([u_h, u_s, u_v])
mask = cv2.inRange(hsv, lower_hsv, upper_hsv)
result = cv2.bitwise_and(frame, frame, mask=mask)
cv2.imshow("qframe", frame)
cv2.imshow("mask", mask)
cv2.imshow("result", result)
key = cv2.waitKey(1)
if key%256 == 27:
break
if key%256 == 32:
print('lowHSV:', lower_hsv)
print('highHSV:', upper_hsv)
#np.savetxt(save_file, [lower_hsv, upper_hsv])
## cap.release()
cv2.destroyAllWindows()
## np.savetxt(file, [lower_hsv, upper_hsv])
return np.array(lower_hsv), np.array(upper_hsv)
##def hsv_trackbar(filename='test'):
## save_file = '{}.out'.format(filename)
## cap = PiCamera(sensor_mode=6)
## cap.resolution = (640, 480)
## rawCapture = PiRGBArray(cap)
## cv2.namedWindow("Trackbars")
## cv2.createTrackbar("L - H", "Trackbars", 0, 179, nothing)
## cv2.createTrackbar("L - S", "Trackbars", 0, 255, nothing)
## cv2.createTrackbar("L - V", "Trackbars", 0, 255, nothing)
## cv2.createTrackbar("U - H", "Trackbars", 179, 179, nothing)
## cv2.createTrackbar("U - S", "Trackbars", 255, 255, nothing)
## cv2.createTrackbar("U - V", "Trackbars", 255, 255, nothing)
## for image in cap.capture_continuous(rawCapture, format="bgr", use_video_port=True):
## frame = image.array
## hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
## l_h = cv2.getTrackbarPos("L - H", "Trackbars")
## l_s = cv2.getTrackbarPos("L - S", "Trackbars")
## l_v = cv2.getTrackbarPos("L - V", "Trackbars")
## u_h = cv2.getTrackbarPos("U - H", "Trackbars")
## u_s = cv2.getTrackbarPos("U - S", "Trackbars")
## u_v = cv2.getTrackbarPos("U - V", "Trackbars")
## lower_hsv = np.array([l_h, l_s, l_v])
## upper_hsv = np.array([u_h, u_s, u_v])
## mask = cv2.inRange(hsv, lower_hsv, upper_hsv)
## result = cv2.bitwise_and(frame, frame, mask=mask)
## cv2.imshow("qframe", frame)
## cv2.imshow("mask", mask)
## cv2.imshow("result", result)
## key = cv2.waitKey(1)
## if key%256 == 27:
## break
## if key%256 == 32:
## print('lowHSV:', lower_hsv)
## print('highHSV:', upper_hsv)
## rawCapture.truncate(0)
## np.savetxt(save_file, [lower_hsv, upper_hsv])
#### cap.release()
## cv2.destroyAllWindows()
#### np.savetxt(file, [lower_hsv, upper_hsv])
##
##
## return np.array(lower_hsv), np.array(upper_hsv)
##
##
##
##def hsv_fromimage(file):
## cv2.namedWindow("Trackbars")
## cv2.createTrackbar("L - H", "Trackbars", 0, 179, nothing)
## cv2.createTrackbar("L - S", "Trackbars", 0, 255, nothing)
## cv2.createTrackbar("L - V", "Trackbars", 0, 255, nothing)
## cv2.createTrackbar("U - H", "Trackbars", 179, 179, nothing)
## cv2.createTrackbar("U - S", "Trackbars", 255, 255, nothing)
## cv2.createTrackbar("U - V", "Trackbars", 255, 255, nothing)
## while True:
## frame = cv2.imread(file)
## hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
## l_h = cv2.getTrackbarPos("L - H", "Trackbars")
## l_s = cv2.getTrackbarPos("L - S", "Trackbars")
## l_v = cv2.getTrackbarPos("L - V", "Trackbars")
## u_h = cv2.getTrackbarPos("U - H", "Trackbars")
## u_s = cv2.getTrackbarPos("U - S", "Trackbars")
## u_v = cv2.getTrackbarPos("U - V", "Trackbars")
## lower_hsv = np.array([l_h, l_s, l_v])
## upper_hsv = np.array([u_h, u_s, u_v])
## mask = cv2.inRange(hsv, lower_hsv, upper_hsv)
## result = cv2.bitwise_and(frame, frame, mask=mask)
## cv2.imshow("qframe", frame)
## cv2.imshow("mask", mask)
## cv2.imshow("result", result)
## key = cv2.waitKey(1)
## if key%256 == 27:
## break
## if key%256 == 32:
## print('lowHSV:', lower_hsv)
## print('highHSV:', upper_hsv)
## cv2.destroyAllWindows()
##
##
## return np.array(lower_hsv), np.array(upper_hsv)
if __name__=='__main__':
minHSV, maxHSV = hsv_trackbar()
## minHSV, maxHSV = hsv_fromimage('dataset_4.jpg')
## image = cv2.imread('dataset_4.jpg')
## hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
## hsvMask = cv2.inRange(hsv, minHSV, maxHSV)
## cnts = cv2.findContours(hsvMask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[0]
## print cnts
## area = cv2.contourArea(cnts[0])
## print area
## cap = PiCamera(sensor_mode=6)
## cap.resolution = (640, 480)
## rawCapture = PiRGBArray(cap)
## for image in cap.capture_continuous(rawCapture, format="bgr", use_video_port=True):
## frame = image.array
## hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
## hsvMask = cv2.inRange(hsv, minHSV, maxHSV)
## cnts = cv2.findContours(hsvMask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[0]
## cnts = sorted(cnts, key = cv2.contourArea, reverse = True)[:3]
## for c in cnts:
## cv2.drawContours(frame, c,-1, (0,0, 50), 1)
## area = cv2.contourArea(np.array(c))
## print(area)
## ## print c
## cv2.imshow('result', frame)
## key = cv2.waitKey(1)
## if key%256 == 27:
## break
## rawCapture.truncate(0)
## cv2.destroyAllWindows()