The code of 《Fast-Full-frame-Video-Stabilization-with-Iterative-Optimization》
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Synthetic Dataset
You can run python assets/save_training_video_to_disk.py to prepare your synthetic dataset. Of course, the corresponding datasets should be prepared firstly (illustrated in the main paper). Then, you should also adjust the directory path in save_training_video_to_disk.py, including --image_data_path, --csv_path, --save_dir, coco_path.
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Generate Confidence Maps
You can run pre_video_flow_process.py to generate a confidence map sequence for the input video. Before running, please prepare the PDCNet code and make sure it runs successfully.