I am wondering if it is possible to get live 4k rgb video from the Oak-D. I am currently getting around 17fps.
import cv2
import depthai as dai
import time
class FPSHandler:
def __init__(self):
self.timestamp = time.time() + 1
self.start = time.time()
self.frame_cnt = 0
def next_iter(self):
self.timestamp = time.time()
self.frame_cnt += 1
def fps(self):
return self.frame_cnt / (self.timestamp - self.start)
# Create pipeline
pipeline = dai.Pipeline()
# Define source and output
camRgb = pipeline.create(dai.node.ColorCamera)
xoutVideo = pipeline.create(dai.node.XLinkOut)
xoutVideo.setStreamName("video")
# Properties
camRgb.setBoardSocket(dai.CameraBoardSocket.CAM_A)
camRgb.setResolution(dai.ColorCameraProperties.SensorResolution.THE_4_K)
xoutVideo.input.setBlocking(False)
xoutVideo.input.setQueueSize(1)
# Linking
camRgb.video.link(xoutVideo.input)
# Connect to device and start pipeline
with dai.Device(pipeline) as device:
video = device.getOutputQueue(name="video", maxSize=30, blocking=False)
fps = FPSHandler()
while True:
videoIn = video.get()
fps.next_iter()
print(fps.fps())
# Get BGR frame from NV12 encoded video frame to show with opencv
# Visualizing the frame on slower hosts might have overhead
cv2.imshow("video", videoIn.getCvFrame())
if cv2.waitKey(1) == ord('q'):
break
