bcon mipi daA2500-60mci not up to true fps

Hi I have a bcon mipi daA2500-60mci running on Jetson Nano. Per spec, this camera should have up to 60fps. But I couldn’t find a way to get it more than 10fps. I tried to set exposure time to min, turn off exposure auto. But the fps still did not improve. What did I do wrong?

This is the code the I use to display with OpenCV 3.4.11

from pypylon import pylon
import time
import cv2

# conecting to the first available camera
camera = pylon.InstantCamera(pylon.TlFactory.GetInstance().CreateFirstDevice())
camera.Open()

#camera.Gain = camera.Gain.Max
#camera.ExposureTime.SetValue(camera.ExposureTime.Min)

camera.ExposureAuto.SetValue("Off")

# Grabing Continusely (video) with minimal delay
camera.StartGrabbing(pylon.GrabStrategy_LatestImageOnly)
converter = pylon.ImageFormatConverter()

# converting to opencv bgr format
converter.OutputPixelFormat = pylon.PixelType_BGR8packed
converter.OutputBitAlignment = pylon.OutputBitAlignment_MsbAligned
start = time.time()
counter = 0
while camera.IsGrabbing():
    grabResult: pylon.GrabResult = camera.RetrieveResult(5000, pylon.TimeoutHandling_ThrowException)

    if grabResult.GrabSucceeded():
        # Access the image data
        image = converter.Convert(grabResult)
        img = image.GetArray()
        counter += 1
        elapsed = time.time() - start
        cv2.putText(img, "{} FPS".format(int(counter / elapsed)), (200, 20),
                    cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 255), 2)
        cv2.imshow('title', img)
        k = cv2.waitKey(1)
        if k == 27:
            break
    grabResult.Release()

# Releasing the resource
camera.StopGrabbing()
camera.close()

cv2.destroyAllWindows()

[FrankKarstens]

from pypylon import pylon
import time
import cv2

# conecting to the first available camera
camera = pylon.InstantCamera(pylon.TlFactory.GetInstance().CreateFirstDevice())
camera.Open()

#camera.Gain = camera.Gain.Max
#camera.ExposureTime.SetValue(camera.ExposureTime.Min)

camera.ExposureAuto.SetValue("Off")
camera.ExposureTime.SetValue (20000)

# Grabing Continusely (video) with minimal delay
camera.StartGrabbing(pylon.GrabStrategy_LatestImageOnly)
converter = pylon.ImageFormatConverter()

# converting to opencv bgr format
converter.OutputPixelFormat = pylon.PixelType_BGR8packed
converter.OutputBitAlignment = pylon.OutputBitAlignment_MsbAligned
start = time.time()
counter = 0

# use OpenGL for image display if your opencv build supports OpenGL
#cv2.namedWindow('mipi test', cv2.WINDOW_NORMAL|cv2.WINDOW_OPENGL)

# otherwise just use CPU
cv2.namedWindow('mipi test', cv2.WINDOW_NORMAL)
cv2.resizeWindow('mipi test', 1200, 800)

while camera.IsGrabbing():
    grabResult: pylon.GrabResult = camera.RetrieveResult(5000, pylon.TimeoutHandling_ThrowException)

    if grabResult.GrabSucceeded():

        # Access the image data and convert with pypylon methods
        # image = converter.Convert(grabResult)
        # img = image.GetArray()
        
        # or alternatively convert with opencv methods
        img = cv2.cvtColor( grabResult.GetArray() , cv2.COLOR_YUV2BGR_UYVY)
        
        counter += 1
        elapsed = time.time() - start
        cv2.putText(img, "{} FPS".format(int(counter / elapsed)), (200, 20),
                    cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 255), 2)
        
        
        cv2.imshow('mipi test', img, )
        k = cv2.waitKey(1)
        if k == 27:
            break
    grabResult.Release()

# Releasing the resource
camera.StopGrabbing()
camera.close()

cv2.destroyAllWindows()

[FrankKarstens]

It is the displaying of the image and the high CPU load in the grab loop which slows down your whole application. You should use a named window and should reduce the display area. here’s a proposal: