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Double Domains-Guided Real-time Low-light Image Enhancement for UHD Transportation Surveillance

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Double Domain Guided Real-Time Low-Light Image Enhancement for Ultra-High-Definition Transportation Surveillance

1. Requirement

  • Python == 3.7
  • Torch == 1.12.0

2. Test platform

  • The experimental computational device is a PC with an AMD EPYC 7543 32-Core Processor CPU accelerated by an Nvidia A40 GPU, which is also widely used in industrial-grade servers (e.g., Advantech SKY-6000 series and Thinkmate GPX servers).

3. Test

  • Put the test images into the input floder
  • Run test.py
  • The results will be saved into the output floder

4. Downloads

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Double Domains-Guided Real-time Low-light Image Enhancement for UHD Transportation Surveillance

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