Package: rovpy
Rovpy is a simplified python library for ardusub based robots. rovpy contains pymavlink, opencv, numpy, imutils, serial libraries.rovpy is divided into two as rovpyimage and rovpy.Rovpy: includes basic rov control and rov communication tools. these operations are based on the pymavlink library.
rovpyimage: It contains ready-made image processing tools.Rovpy Commands:connectrov()command is the part where you specify your rov driving mode and the connection address to your vehicle. In short, it initializes your vehicle.
Example Using:
connectrov(mode="STABILIZE",connect="/dev/ttyACM0") # for serial connection
connectrov(mode="ACRO",connect="udpin:0.0.0.0:14550") # for companion connect
(Default mode="STABILIZE",connect="/dev/ttyACM0")arm()# arm your robotdisarm()# disarmarm your robothiz()# Converts the pwm signal to a value between -1 and 1.return speed valuecontrol(rcinput,speed)#  rc input takes speed value. speed value must be between 1 and -1. 1 = maximum forward -1 represents maximum reverse. For RC inputs you can check here:https://www.ardusub.com/operators-manual/rc-input-and-output.htmlpitch(speed)# It makes your robot pitch move. speed value must be between 1 and -1. 1 = maximum forward -1 represents maximum reverse.roll(speed)# It makes your robot roll move. speed value must be between 1 and -1. 1 = maximum forward -1 represents maximum reverse.throttle(speed)# It makes your robot throttle move. speed value must be between 1 and -1. 1 = maximum forward -1 represents maximum reverse.yaw(speed)# It makes your robot yaw move. speed value must be between 1 and -1. 1 = maximum forward -1 represents maximum reverse.forward(speed)# It makes your robot forward move. speed value must be between 1 and -1. 1 = maximum forward -1 represents maximum reverse.lateral(speed)# It makes your robot lateral move. speed value must be between 1 and -1. 1 = maximum forward -1 represents maximum reverse.camerapan(speed)# Turns the servo connected to your camera to the right or left. speed value must be between 1 and -1. 1 = maximum forward -1 represents maximum reverse.cameratilt(speed)# Turns the servo attached to your camera down or up. speed value must be between 1 and -1. 1 = maximum forward -1 represents maximum reverse.light1level(power)#adjusts the light level. It takes values between 1 and -1. 0 = off 1 and -1 = full powerlight2level(power)#adjusts the light level. It takes values between 1 and -1. 0 = off 1 and -1 = full powervideoswitch(speed)# It can take values between 1 and -1.sendgps(timestamp,idd,flags,gpstime,gpsweeknumber,dgps,lat,lon,alt,gpshdop,gpsvdop,northvelocity,eastvelocity,downvelocity,gpsspeed,gpshorizontal,gpsvertical,numberofsattalities)# Allows you to send a GPS value.rovinfo()# Allows you to receive ahrs data such as gyro, speed, altitude.Rov Imagecolordetect(frame,color,w=320,h=240)#It allows you to detect already defined colors. frame = image, color = color, w = image width default 320, h = image height default 240Returns frame, x, y, radius values to you. frame = marked image, x = x coordinate of the detected object, y = y coordinate of the detected image, radius = radius of the detected imageDefined Colors:"blue": {"upper": "126, 255, 255",
        "lower":"94, 80, 2"},

 "red": {"upper": "255, 255, 255",
        "lower":"171, 160, 60"},

"brown": {"upper": "30,255,255", 
        "lower":"20,100,100"},

"green": {"upper": "102, 255, 255",
        "lower":"25, 52, 72"},

"orange": {"upper": "25, 255, 255",
        "lower":"10, 100, 20"},

"pink": {"upper": "11,255,255",
        "lower":"10,100,100"},

"black": {"upper": "50,50,100",
        "lower":"0,0,0"},

"purple": {"upper": "120, 255, 255",
        "lower":"80, 10, 10]"},

"yellow": {"upper": "44, 255, 255",
        "lower":"24, 100, 100"},

"white": {"upper": "0,0,255",
        "lower":"0,0,0"},circledetect(frame,param1=35,param2=50,minRadius=0,maxRadius=0,w=320,h=240)##It allows you to detect circles. frame = marked image , param1 = Gradient value used to handle edge detection in the Yuen et al. method(Default = 35). param2 = Accumulator threshold value for thecv2.HOUGH_GRADIENTmethod. The smaller the threshold is, the more circles will be detected (including false circles). The larger the threshold is, the more circles will potentially be returned(Default = 50). minRadius = minimum radius of the circle to be detected(Default = 0). maxradius = maximum radius of the circle to be detected(Default = 0). w =image width (default 320). h= image height (default 240)Returns frame, x, y, radius values to you. frame = marked image, x = x coordinate of the detected object, y = y coordinate of the detected image, radius = radius of the detected imageExamples :Detect Red Colors :from rovpy import rovpy
import cv2

camera = cv2.VideoCapture(0) # for webcams

while True: 
     (grabbed, frame) = camera.read() 
     frame, x ,y, radius = rovpy.colordetect(frame,"red") # default = colordetect(frame,"color",w=320,h=240)
     cv2.imshow("Color Detect", frame)
     cv2.waitKey(1)Detect Circles :from rovpy import rovpy
import cv2

camera = cv2.VideoCapture(0) # for webcams

while True: 
     (grabbed, frame) = camera.read() 
     frame, x ,y, radius = rovpy.circledetect(frame,30,50) # default = circledetect(image,param1=35,param2=50,minRadius=0,maxRadius=0,weight=320,height=240)
     print(x,y)
     cv2.imshow("CircleDetect", frame)
     cv2.waitKey(1)Rov Control :from rovpy import rovpy

rovpy.connectrov("STABILIZE","/dev/ttyACM0") #connectrov(mode,port or udp url)

rovpy.arm()
a = 0
while(a < 1000):
	a+1
	rovpy.forward(0.5) # forward(speed) 0.5 is half speed
	''' if you can want use this commands
	rovpy.pitch(speed)
	rovpy.roll(speed):
	rovpy.throttle(speed)
	rovpy.yaw(speed)
	rovpy.forward(speed)
	rovpy.lateral(speed)
	rovpy.camerapan(speed)
	rovpy.cameratilt(speed)
	rovpy.light1level(power)
	rovpy.light2level(power)
	rovpy.videoswitch(speed)
	'''
	rovpy.disarm()Arming Rovfrom rovpy import rovpy

rovpy.connectrov("STABILIZE","/dev/ttyACM0") #connectrov(mode,port or udp url)

rovpy.arm()Get ahrs data :from rovpy import rovpy

rovpy.connectrov("STABILIZE","/dev/ttyACM0") #connectrov(mode,port or udp url)

rovpy.rovinfo()
'''
Output:
{'mavpackettype': 'AHRS2', 'roll': -0.11364290863275528, 'pitch': -0.02841472253203392, 'yaw': 2.0993032455444336, 'altitude': 0.0, 'lat': 0, 'lng': 0}
{'mavpackettype': 'AHRS3', 'roll': 0.025831475853919983, 'pitch': 0.006112074479460716, 'yaw': 2.1514968872070312, 'altitude': 0.0, 'lat': 0, 'lng': 0, 'v1': 0.0, 'v2': 0.0, 'v3': 0.0, 'v4': 0.0}
{'mavpackettype': 'VFR_HUD', 'airspeed': 0.0, 'groundspeed': 0.0, 'heading': 123, 'throttle': 0, 'alt': 3.129999876022339, 'climb': 3.2699999809265137}
{'mavpackettype': 'AHRS', 'omegaIx': 0.0014122836291790009, 'omegaIy': -0.022567369043827057, 'omegaIz': 0.02394154854118824, 'accel_weight': 0.0, 'renorm_val': 0.0, 'error_rp': 0.08894175291061401, 'error_yaw': 0.0990816056728363}

'''Send GPS Data :from rovpy import rovpy
import time
timestam = time.time()
rovpy.connectrov("STABILIZE","/dev/ttyACM0") #connectrov(mode,port or udp url)

rovpy.sendgps(timestamp,0,8|16|32,0,0,3,0,0,0,1,1,0,0,0,0,0,0,7)For your thoughts and suggestions:enis@enisgetmez.com,http://enisgetmez.comhttps://instagram.com/enisgetmez