How can i see the prediction result of a frame/image as bbox coordinates ? about super-gradients HOT 5 CLOSED

# Download the video to the local file system.
with open(video_path, mode="wb") as f:
    response = requests.get("https://deci-pretrained-models.s3.amazonaws.com/sample_images/pose_elephant_flip.mp4")
    f.write(response.content)

video_predictions = model.predict(video_path)

for frame_prediction in video_predictions:
    image = frame_prediction.image
    labels = frame_prediction.prediction.labels
    confidence = frame_prediction.prediction.confidence
    bboxes = frame_prediction.prediction.bboxes_xyxy
    print(image.shape, labels.shape, confidence.shape, bboxes.shape)

IMAGES = [
    "../../../../documentation/source/images/examples/countryside.jpg",
    "../../../../documentation/source/images/examples/street_busy.jpg",
    "https://cdn-attachments.timesofmalta.com/cc1eceadde40d2940bc5dd20692901371622153217-1301777007-4d978a6f-620x348.jpg",
]
images_predictions = model.predict(IMAGES)

for image_prediction in images_predictions:
    image = image_prediction.image
    labels = image_prediction.prediction.labels
    confidence = image_prediction.prediction.confidence
    bboxes = image_prediction.prediction.bboxes_xyxy
    print(image.shape, labels.shape, confidence.shape, bboxes.shape)

url = "https://cdn-attachments.timesofmalta.com/cc1eceadde40d2940bc5dd20692901371622153217-1301777007-4d978a6f-620x348.jpg"
images_predictions = model.predict(url)
image_prediction = next(iter(images_predictions))

image = image_prediction.image
labels = image_prediction.prediction.labels
confidence = image_prediction.prediction.confidence
bboxes = image_prediction.prediction.bboxes_xyxy
print(image.shape, labels.shape, confidence.shape, bboxes.shape)

for i, (label, conf, bbox) in enumerate(zip(labels, confidence, bboxes)):
    print("prediction: ", i)
    print("label: ", label)
    print("confidence: ", conf)
    print("bbox: ", bbox)
    print('--' * 10)