# Copyright (c) 2024 Justin Davis (davisjustin302@gmail.com)
#
# MIT License
"""Example showcasing how to use the GFTT model."""
from __future__ import annotations
import cv2
import depthai as dai
from oakutils.nodes import create_color_camera, create_xout, get_nn_bgr_frame
from oakutils.nodes.models import create_gftt
pipeline = dai.Pipeline()
# create the color camera node
cam = create_color_camera(
pipeline,
fps=30,
preview_size=(640, 480),
) # set the preview size to the input of the nn
gftt = create_gftt(
pipeline,
input_link=cam.preview,
shaves=1,
)
xout_gftt = create_xout(pipeline, gftt.out, "gftt")
with dai.Device(pipeline) as device:
queue: dai.DataOutputQueue = device.getOutputQueue("gftt")
while True:
data = queue.get()
frame = get_nn_bgr_frame(data, normalization=255.0)
cv2.imshow("gftt frame", frame)
if cv2.waitKey(1) == ord("q"):
break