Request for assistance with OAK-D POE CM4 and Jetson TX2 integration

Hi erik

I've trained my model and deployed it on Roboflow. Following the tutorial, I modified the main.py code:

import cv2
from depthai_sdk import OakCamera
from depthai_sdk.classes.packets import TwoStagePacket
from depthai_sdk.visualize.configs import TextPosition
from deep_sort_realtime.deepsort_tracker import DeepSort

tracker = DeepSort(max_age=1000, nn_budget=None, embedder=None, nms_max_overlap=1.0, max_cosine_distance=0.2)

def cb(packet: TwoStagePacket):
    detections = packet.img_detections.detections
    vis = packet.visualizer
    # Update the tracker
    object_tracks = tracker.iter(detections, packet.nnData, (640, 640))

    for track in object_tracks:
        if not track.is_confirmed() or \
            track.time_since_update > 1 or \
            track.detection_id >= len(detections) or \
            track.detection_id < 0:
            continue

        det = packet.detections[track.detection_id]
        vis.add_text(f'ID: {track.track_id}',
                        bbox=(*det.top_left, *det.bottom_right),
                        position=TextPosition.MID)
    frame = vis.draw(packet.frame)
    cv2.imshow('DeepSort tracker', frame)


with OakCamera() as oak:
    color = oak.create_camera('color')
    model_config = {
            'source': 'roboflow', 
            'model':'usv-7kkhf/4',
            'key':'zzzzzzzzzzzzzzz' # FAKE Private API key
    }
    yolo = oak.create_nn(model_config,color)
    embedder = oak.create_nn('mobilenetv2_imagenet_embedder_224x224', input=yolo)

    oak.visualize(embedder, fps=True, callback=cb)
    # oak.show_graph()
    oak.start(blocking=True)

However, I'm encountering an error stating that it can't find my trained model:

Exception: {'message': 'No trained model was found.', 'type': 'GraphMethodException', 'hint': 'You must train a model on this version with Roboflow Train before you can use inference.', 'e': ['Model not found, looking for filename 4JiY9CSQUUctWZgCzw210yo9qcw2/heRJlafm8KwTDQrTn8dI/4/roboflow.zip']}

Sentry is attempting to send 2 pending error messages

So, I saved my file as best.py and then used the model converter. I'd like to know how to implement it into the code:

Thanks for your assistance.