Add Anomaly scene

[ashwinvaidya17]

What does this PR do?

• Add Anomaly Scene

image = Image.open("./data/coco128/images/train2017/000000000074.jpg")
image = image.resize((255, 255))  # Ideally this should be within visualization

heatmap = np.zeros(image.size, dtype=np.uint8)
heatmap[64:96, 64:96] = 255

mask = np.zeros(image.size, dtype=np.uint8)
mask[32:96, 32:96] = 255
mask[40:80, 0:128] = 255

anomaly_result = AnomalyResult(
    anomaly_map=heatmap,
    pred_boxes=np.array([[0, 0, 128, 128], [32, 32, 96, 96]]),
    pred_label="Anomaly",
    pred_mask=mask,
    pred_score=0.85,
)
visualizer = Visualizer()
visualizer.save(image, anomaly_result, "anomaly_result.jpg")

image = Image.open("./data/coco128/images/train2017/000000000074.jpg")
image_array = cv2.cvtColor(np.array(image), cv2.COLOR_RGB2BGR)

padim = AnomalyDetection.create_model(
    "./data/otx_models/anomaly_stfpm_bottle_mvtec.xml"
)

predictions: AnomalyResult = padim(image_array)
visualizer = Visualizer()
visualizer.save(image, predictions, "visualizer_output.jpg")

Fixes # (issue)

Before submitting

• This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
• Did you make sure to update the documentation with your changes?
• Did you write any new necessary tests?

[sovrasov]

@ashwinvaidya17 given the real-word example it looks like we need to introduce confidence rounding parameter to avoid long labels representations.