Dataset preparation
October 20, 2019 ยท View on GitHub
If you want to reproduce the results in the paper for benchmark evaluation and training, you will need to setup dataset.
COCO
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Download the images (2017 Train, 2017 Val, 2017 Test) from coco website.
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Download annotation files (2017 train/val and test image info) from coco website.
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Place the data (or create symlinks) to make the data folder like:
${CenterNet_ROOT} |-- data `-- |-- coco `-- |-- annotations | |-- instances_train2017.json | |-- instances_val2017.json | |-- person_keypoints_train2017.json | |-- person_keypoints_val2017.json | |-- image_info_test-dev2017.json |---|-- train2017 |---|-- val2017 `---|-- test2017