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Official implementation of CVPR2024 - MCNet: Rethinking the Core Ingredients for Accurate and Efficient Homography Estimation

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MCNet

Official implementation of MCNet: Rethinking the Core Ingredients for Accurate and Efficient Homography Estimation.

Environment

torch1.10.0

torchvision 0.11.1

cupy 10.6

numpy 1.23.0

opencv-python 4.8.0.76

Evaluate

Please modify the dataset path in datasets.py and run the following code with situable variables:

python test.py --gpuid ${GPU_ID} --dataset ${DATASET} --checkpoints ${WEIGHT_PATH}

License

This project is released under the Apache 2.0 license.

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Official implementation of CVPR2024 - MCNet: Rethinking the Core Ingredients for Accurate and Efficient Homography Estimation

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