Add a noise floor to th discriminator noise factor
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@ -80,6 +80,7 @@ class SRGANModel(BaseModel):
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self.D_init_iters = train_opt['D_init_iters'] if train_opt['D_init_iters'] else 0
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self.D_init_iters = train_opt['D_init_iters'] if train_opt['D_init_iters'] else 0
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self.D_noise_theta = train_opt['D_noise_theta_init'] if train_opt['D_noise_theta_init'] else 0
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self.D_noise_theta = train_opt['D_noise_theta_init'] if train_opt['D_noise_theta_init'] else 0
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self.D_noise_final = train_opt['D_noise_final_it'] if train_opt['D_noise_final_it'] else 0
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self.D_noise_final = train_opt['D_noise_final_it'] if train_opt['D_noise_final_it'] else 0
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self.D_noise_theta_floor = train_opt['D_noise_theta_floor'] if train_opt['D_noise_theta_floor'] else 0
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# optimizers
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# optimizers
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# G
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# G
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@ -171,7 +172,7 @@ class SRGANModel(BaseModel):
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if step >= self.D_noise_final:
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if step >= self.D_noise_final:
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noise_theta = 0
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noise_theta = 0
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else:
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else:
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noise_theta = self.D_noise_theta * (self.D_noise_final - step) / self.D_noise_final
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noise_theta = (self.D_noise_theta - self.D_noise_theta_floor) * (self.D_noise_final - step) / self.D_noise_final + self.D_noise_theta_floor
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self.fake_GenOut = []
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self.fake_GenOut = []
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var_ref_skips = []
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var_ref_skips = []
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@ -287,6 +288,7 @@ class SRGANModel(BaseModel):
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utils.save_image(self.fake_GenOut[i][0].cpu().detach(), os.path.join("temp/gen", "%05i_%02i.png" % (step, i)))
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utils.save_image(self.fake_GenOut[i][0].cpu().detach(), os.path.join("temp/gen", "%05i_%02i.png" % (step, i)))
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utils.save_image(self.fake_GenOut[i][1].cpu().detach(), os.path.join("temp/genmr", "%05i_%02i.png" % (step, i)))
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utils.save_image(self.fake_GenOut[i][1].cpu().detach(), os.path.join("temp/genmr", "%05i_%02i.png" % (step, i)))
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utils.save_image(self.fake_GenOut[i][2].cpu().detach(), os.path.join("temp/genlr", "%05i_%02i.png" % (step, i)))
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utils.save_image(self.fake_GenOut[i][2].cpu().detach(), os.path.join("temp/genlr", "%05i_%02i.png" % (step, i)))
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utils.save_image(var_ref_skips[i][0].cpu().detach(), os.path.join("temp/ref", "hi_%05i_%02i.png" % (step, i)))
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utils.save_image(var_ref_skips[i][1].cpu().detach(), os.path.join("temp/ref", "med_%05i_%02i.png" % (step, i)))
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utils.save_image(var_ref_skips[i][1].cpu().detach(), os.path.join("temp/ref", "med_%05i_%02i.png" % (step, i)))
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utils.save_image(var_ref_skips[i][2].cpu().detach(), os.path.join("temp/ref", "low_%05i_%02i.png" % (step, i)))
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utils.save_image(var_ref_skips[i][2].cpu().detach(), os.path.join("temp/ref", "low_%05i_%02i.png" % (step, i)))
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else:
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else:
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