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 numpy as np import cv2 from ospery_diver import Camera, Display, Executor, tasks from ospery_diver.util import * if __name__ == '__main__': cam = Camera(cv2) display = Display(cv2) executor = Executor(cv2, np) while( True ): frame = cam.getFrame() #point = executor.run(tasks.gateDetector, cam.getFrame()) #if point is not None: #draw a cross hair # cv2.circle(frame, (point.getX() ,point.getY()), 40, (0,0,255), 5) print frame rects = executor.run(tasks.findBoundingRectsByColor, cam.getFrame(), ORANGE) for rect in rects: display.drawContour(frame, rect, RED, 2) if (display.show(frame, "output")==-1): break
# 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(frame) # the result of the task can draw on the frame
# comment the if block below and uncomment the other if block to see the thresholded frame
if (display.show(frame, "output")==-1):
import numpy as np
import cv2
from ospery_diver import Camera, Display, Executor, tasks, Communicator
from ospery_diver.util import *
import time
cam = Camera(cv2)
display = Display(cv2)
executor = Executor(cv2, np)
comm = Communicator('COM4', 9600)
# for video logging please donot erase!
# fps = 13
# size = cam.getFrameSize()
# fwdCamFileName = 'fwdCamera.avi'
# videoWriter = cam.getVideoSettings(fwdCamFileName,fps,size)
# numFramesRemaining = 10 * fps - 1
#colorCalibrate(all_colors())
task_name = ""
def runDisplay(frame, text):
return display.show(frame, text)
def idlePhase():
task_num = comm.standBy() # Awaiting orders from the arduino.
print task_num
task = tasks.TASKS[
import numpy as np import cv2 from ospery_diver import Camera, Display, Executor, tasks, Communicator from ospery_diver.util import * import time cam = Camera(cv2) display = Display(cv2) executor = Executor(cv2, np) # for video logging please donot erase! # fps = 13 # size = cam.getFrameSize() # fwdCamFileName = 'fwdCamera.avi' # videoWriter = cam.getVideoSettings(fwdCamFileName,fps,size) # numFramesRemaining = 10 * fps - 1 colorCalibrate(all_colors()) while( True ): frame = cam.getFrame() buoyTask = executor.run(tasks.buoyDetector, frame, orange()) buoyResult = buoyTask.result() buoyResult.drawOnFrame(frame) display.show(buoyTask.getThresholdFrame(), "buoy_threshold") #rectResult = executor.run(tasks.findBoundingRectsByColor, frame, orange()) #rectResult.result().drawOnFrame(frame)
import numpy as np
import cv2
from ospery_diver import Camera, Display, Executor, tasks, Communicator
from ospery_diver.util import *
import time
cam = Camera(cv2)
display = Display(cv2)
executor = Executor(cv2, np)
# for video logging please donot erase!
# fps = 13
# size = cam.getFrameSize()
# fwdCamFileName = 'fwdCamera.avi'
# videoWriter = cam.getVideoSettings(fwdCamFileName,fps,size)
# numFramesRemaining = 10 * fps - 1
colorCalibrate(all_colors())
while (True):
frame = cam.getFrame()
buoyTask = executor.run(tasks.buoyDetector, frame, orange())
buoyResult = buoyTask.result()
buoyResult.drawOnFrame(frame)
display.show(buoyTask.getThresholdFrame(), "buoy_threshold")
#rectResult = executor.run(tasks.findBoundingRectsByColor, frame, orange())
#rectResult.result().drawOnFrame(frame)
# 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(
import numpy as np
import cv2
from ospery_diver import Camera, Display, Executor, tasks, Communicator
from ospery_diver.util import *
import time
cam = Camera(cv2)
display = Display(cv2)
executor = Executor(cv2, np)
while (True):
frame = cam.getFrame()
task = executor.run(tasks.gateDetector, frame, orange(),
[histogramStrenching])
result = task.result()
result.drawOnFrame(frame)
#rectResult = executor.run(tasks.findBoundingRectsByColor, frame, orange())
#rectResult.result().drawOnFrame(frame)
if (display.show(frame, "output") == -1):
break
#while numFramesRemaining > 0:
#cam.recordFrame(frame, videoWriter)
#frame = cam.getFrame()
#numFramesRemaining -= 1
import numpy as np
import cv2
from ospery_diver import Camera, Display, Executor, tasks, Communicator
from ospery_diver.util import *
import time
cam = Camera(cv2)
display = Display(cv2)
executor = Executor(cv2, np)
while( True ):
frame = cam.getFrame()
task = executor.run(tasks.gateDetector, frame, orange(), [histogramStrenching])
result = task.result()
result.drawOnFrame(frame)
#rectResult = executor.run(tasks.findBoundingRectsByColor, frame, orange())
#rectResult.result().drawOnFrame(frame)
if (display.show(frame, "output")==-1):
break
