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October 14, 2019 05:35
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How to train Detectron2 with Custom COCO Datasets | DLology
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| import random | |
| from detectron2.utils.visualizer import Visualizer | |
| for d in random.sample(dataset_dicts, 3): | |
| img = cv2.imread(d["file_name"]) | |
| visualizer = Visualizer(img[:, :, ::-1], metadata=fruits_nuts_metadata, scale=0.5) | |
| vis = visualizer.draw_dataset_dict(d) | |
| cv2_imshow(vis.get_image()[:, :, ::-1]) |
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