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| # Copyright (C) 2022 Intel Corporation | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, | |
| # software distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions | |
| # and limitations under the License. | |
| import cv2 | |
| from geti_sdk.deployment import Deployment | |
| from geti_sdk.utils import show_image_with_annotation_scene | |
| if __name__ == "__main__": | |
| # Step 1: Load the deployment | |
| deployment = Deployment.from_folder("../deployment") | |
| # Step 2: Load the sample image | |
| image = cv2.imread("../sample_image.jpg") | |
| image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) | |
| # Step 3: Send inference model(s) to CPU | |
| deployment.load_inference_models(device="CPU") | |
| # Step 4: Infer image | |
| prediction = deployment.infer(image_rgb) | |
| # Step 5: Visualization | |
| show_image_with_annotation_scene(image_rgb, prediction) | |