Testing demo for the paper: "Thinking Temporal Automatic White Balance: Datasets, Models and Benchmarks".

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The pre-trained RCC and TCC models can be loader from: https://drive.google.com/drive/folders/1B0Xzy9fEjGmMP08aMTLDRdT1otHD4Lfj?usp=share_link. and stored in "./models". The pre-trained CTA and CTA wo ST attend models are in "/trained_models".

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"RCCNet&TCCNet":
You can run "./test/test.py" to compare the white balance effects for an example sequence between RCCNet and TCCNet.

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"CTANet":
You can run "./test.py" to compare the white balance effects for an example sequence between CTANet wo ST atten and CTANet.

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"examples":
You can download from: https://drive.google.com/drive/folders/1rOuCIyK58Go5a_SfhRflo-GyBKpkxZvy?usp=share_link.