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srrescgan_code_demo

README.md

Testing the SRResCGAN:

  • Platform required to run our test code:

    • Pytorch [1.3.1]
    • Python [3.7.3]
    • Numpy [1.16.4]
    • cv2 [4.1.1]

  • Testing:

    • Run file named "test_srrescgan.py" (without self-ensemble strategy) to produce SR results for RWSR-track1 and RWSR-track2
    • Run file named "test_srrescgan_plus.py" (with self-ensemble strategy) to produce SR results for RWSR-track1 and RWSR-track2

  • Contained Directories information:

    • models: SRResCGAN Network structure.
    • trained_nets_x4: SRResCGAN generator trained network
    • LR: Given LR images .
    • sr_results_x4: produced output images of our network saved here.