import numpy as np
import cv2
from ospery_diver import Camera, Executor, tasks, Communicator
from ospery_diver.util import *
import time
cam = cv2.VideoCapture(0)
executor = Executor(cv2, np)
comm = Communicator('/dev/ttyAMA0', 9600)
# calibrated_color = long_range_orange()
# colorCalibrate(calibrated_color)
# display = Display(cv2)
ret, frame = cam.read()
height, width, _ = frame.shape
mid_x = width / 2
mid_y = height / 2
i = 0
turn = False
while (True):
i += 1
ret, frame = cam.read()
cv2.imwrite('/home/pi/test' + str(i) + '.jpg', frame)
pointTask = executor.run(tasks.gateDetector, frame, orange())
pointResult = pointTask.result()
pointResult.drawOnFrame(frame)
# display.show(frame, 'frame')
# display.show(threshold, 'threshold')
command = "1 1 "
if pointResult.value() is not None:
# import function, variable, and classes from other modules
import numpy as np
import cv2
from ospery_diver import Camera, Display, Executor, tasks
from ospery_diver.util import *
cam = Camera(cv2) # Camera Object
display = Display(cv2) # Object used to display results or camera frames
executor = Executor(
cv2, np
) # The object that is responsible for executing different tasks (color detection, buoy detection, etc )
# Program we will be constantly looping
# press CTRL-C to abort (end program)
while (True):
frame = cam.getFrame(
) # get a single frame or image from the camera and store it in a object
# Try running the task with different colors
# Comment the color = ORANGE and uncomment either color = BLUE or color GREEN
color = ORANGE
#color = BLUE
#color = GREEN
buoyTask = executor.run(
tasks.buoyDetector, frame,
color) # Execute the task. The executed task can be stored in variable
buoyResult = buoyTask.result() # grab a result object from the task
buoyResult.drawOnFrame(
