Hi @Fediory I have some images captured from smartphones that are well-lit, and I want to convert these images into low-light versions for fine-tuning HVI-CIDNet. I tried adjusting the brightness using cv2.convertScaleAbs, which helped modify the brightness, but after training for 1000 epochs, I achieved an SSIM of 0.9465 and a PSNR of 17.625. However, when I performed inference on unseen images, the output had significantly higher luminance than expected.
Hi @Fediory I have some images captured from smartphones that are well-lit, and I want to convert these images into low-light versions for fine-tuning HVI-CIDNet. I tried adjusting the brightness using cv2.convertScaleAbs, which helped modify the brightness, but after training for 1000 epochs, I achieved an SSIM of 0.9465 and a PSNR of 17.625. However, when I performed inference on unseen images, the output had significantly higher luminance than expected.