yolov5 custom trained weights converted to ONNX showing wrong labels

Question

After converting custom trained Yolov5 weights (.pt) to ONNX and running inference on the ONNX file using:

https://github.com/BlueMirrors/Yolov5-ONNX.git

the detection works well but my image labels/classes are using COCO labels (ie person, airplane, etc) instead of my labels. How can I change the labels to my own. I'm unsure of the formatting of the json (or yaml?) file. Thanks!

def detect_image(device, weight, image_path, output_image):
    # load model
    model = Yolov5Onnx(classes="coco",
                       backend="onnx",
                       weight=weight,
                       device=device)

    # read image
    image = cv2.imread(image_path)

    # inference
    preds = model(image)
    print(preds)

    # draw image
    preds.draw(image)

    # write image
    cv2.imwrite(output_image, image)