Using DepthAI as a class

If you want to integrate the DepthAI into your project, this example might be useful for you as it splits the “how to get the results”, from “what to do with them”.

This example splits the pipeline initialization from the actual usage.

It’s useful if you want to make more subclasses of it (e.x. MonoDepthAI that will contain config for mono cameras) or run the DepthAI code in a subprocess (e.x. Process(target=DepthAI().run).start())


from pathlib import Path

import cv2
import depthai

class DepthAI:
    def __init__(self):
        self.device = depthai.Device('', False)
        self.p = self.device.create_pipeline(config={
            "streams": ["metaout", "previewout"],
            "ai": {
                "blob_file": "/path/to/model.blob",
                "blob_file_config": "/path/to/config.json"

        self.entries_prev = []

    def run(self):
        while True:
            nnet_packets, data_packets = self.p.get_available_nnet_and_data_packets()

            for _, nnet_packet in enumerate(nnet_packets):
                self.entries_prev = []
                for _, e in enumerate(nnet_packet.entries()):
                    if e[0]['image_id'] == -1.0 or e[0]['conf'] == 0.0:
                    if e[0]['conf'] > 0.5:

            for packet in data_packets:
                if packet.stream_name == 'previewout':
                    data = packet.getData()
                    if data is None:
                    data0 = data[0, :, :]
                    data1 = data[1, :, :]
                    data2 = data[2, :, :]
                    frame = cv2.merge([data0, data1, data2])

                    img_h = frame.shape[0]
                    img_w = frame.shape[1]

                    for e in self.entries_prev:
                        pt1 = int(e['x_min'] * img_w), int(e['y_min'] * img_h)
                        pt2 = int(e['x_max'] * img_w), int(e['y_max'] * img_h)

                        cv2.rectangle(frame, pt1, pt2, (0, 0, 255), 2)

                    cv2.imshow('previewout', frame)

            if cv2.waitKey(1) == ord('q'):

        del self.p
        del self.device