Hi Luxonis Team,
I need help with this question
from depthai_sdk import Previews, FPSHandler
from depthai_sdk.managers import PipelineManager, PreviewManager, BlobManager, NNetManager
import depthai as dai
import cv2
bm = BlobManager(blobPath='patentes.blob')
nm = NNetManager(nnFamily="YOLO", inputSize=(640,640))
nm.readConfig("patentes.json")
pm = PipelineManager()
pm.createColorCam(previewSize=nm.inputSize, xout=True)
fpsHandler = FPSHandler()
pv = PreviewManager(display=[Previews.color.name], fpsHandler=fpsHandler)
nn = nm.createNN(pipeline=pm.pipeline, nodes=pm.nodes, source=Previews.color.name,
blobPath=bm.getBlob(shaves=6, openvinoVersion=pm.pipeline.getOpenVINOVersion(), zooType="depthai"))
pm.addNn(nn)
with dai.Device(pm.pipeline) as device:
pv.createQueues(device)
nm.createQueues(device)
nnData = []
while True:
pv.prepareFrames()
inNn = nm.outputQueue.tryGet()
frame=?????
if inNn is not None:
nnData = nm.decode(inNn)
fpsHandler.tick("color")
for d in nnData :
print(f"{d.__class__} {d.label} {d.confidence} ({d.xmin},{d.xmax}) ({d.ymin},{d.ymax})")
nm.draw(pv, nnData)
pv.showFrames()
if cv2.waitKey(1) == ord('q'):
break
We have this code, but we don't know how to get the current frame, we made the model we trained on the camera work, but we don't know ¿what will be the frame to process OCR prediction?
Can you help us with this issue please?
Thanks.
