I'm trying to copy the URL of my phone that is live streaming, and import it into my code so that it opens a new window with the live stream visible.
The URL I'm trying to import is https://192.168.1.69:8080
Here's my code:
import cv2
import numpy as np
def make_coordinates(image, line_parameters):
try:
slope, intercept = line_parameters
except TypeError:
slope, intercept = 1,1
y1 = image.shape[0]
y2 = int(y1*(3/4)) #Line length
x1 = int((y1 - intercept)/slope)
x2 = int((y2 - intercept)/slope)
return np.array([x1, y1, x2, y2])
def averaged_slope_intercept(image, lines):
left_fit = []
right_fit = []
for line in lines:
x1, y1, x2, y2 = line.reshape(4)
parameters = np.polyfit((x1, x2), (y1, y2), 1)
print(parameters)
slope = parameters[0]
intercept = parameters[1]
if slope < 0:
left_fit.append((slope, intercept))
else:
right_fit.append((slope, intercept))
left_fit_average = np.average(left_fit, axis=0)
right_fit_average = np.average(right_fit, axis=0)
left_line = make_coordinates(image, left_fit_average)
right_line = make_coordinates(image, right_fit_average)
return np.array([left_line, right_line])
def canny(image):
gray = cv2.cvtColor(frame, cv2.COLOR_RGB2GRAY)
blur = cv2.GaussianBlur(gray, (5, 5), 0)
canny = cv2.Canny(blur, 50, 150)
return canny
def display_lines(image, lines):
line_image = np.zeros_like(image)
if lines is not None:
for x1, y1, x2, y2 in lines:
cv2.line(line_image, (x1, y1), (x2, y2), (0, 255, 0), 2)
return line_image
def region_of_interest(image):
height = image.shape[0]
polygons = np.array([
[(300, height), (1300, height), (500, 400)] #Dimensions of Polygon
])
mask = np.zeros_like(image)
cv2.fillPoly(mask, polygons, 255)
masked_image = cv2.bitwise_and(image, mask)
return masked_image
# image = cv2.imread('test_image.jpg')
# lane_image = np.copy(image)
# canny_image = canny(lane_image)
# cropped_image = region_of_interest(canny_image)
# lines = cv2.HoughLinesP(cropped_image, 2, np.pi/180, 100, np.array([]), minLineLength=40, maxLineGap=5)
# averaged_lines = averaged_slope_intercept(lane_image, lines)
# line_image = display_lines(lane_image, averaged_lines)
# combo_image = cv2.addWeighted(lane_image, 0.8, line_image, 1, 1)
# cv2.imshow("result", combo_image)
# cv2.waitKey(0)
cap = cv2.VideoCapture("coast.mp4")
while(cap.isOpened()):
_, frame = cap.read()
canny_image = canny(frame)
cropped_image = region_of_interest(canny_image)
lines = cv2.HoughLinesP(cropped_image, 2, np.pi/180, 250, np.array([]), minLineLength=40, maxLineGap=5) #Number of minimum line votes
averaged_lines = averaged_slope_intercept(frame, lines)
line_image = display_lines(frame, averaged_lines)
combo_image = cv2.addWeighted(frame, 0.8, line_image, 1, 1)
cv2.imshow("Lane-Detection", combo_image)
if cv2.waitKey(1) == ord('w'):
break
cap.release()
cv2.destroyAllWindows()
I'm trying to place it where the "coast.mp4" is.
The code is for detecting lanes lines when driving, and I'm able to run the code with videos that are already downloaded on my computer (e.g. a video called "coast.mp4"), but I thought it would be interesting to see if I could implement a live stream so that the computer can detect lines in real-time. Is this possible?
