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Updates MsSsim args in model

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jh 2021-04-24 00:43:57 -07:00
commit 949dba0a84
1 changed files with 4 additions and 4 deletions
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models/Model_SAEHD/Model.py
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@ -452,7 +452,7 @@ Examples: df, liae, df-d, df-ud, liae-ud, ...
gpu_psd_target_dst_style_anti_masked = gpu_pred_src_dst*(1.0 - gpu_target_dstm_style_blur) gpu_psd_target_dst_style_anti_masked = gpu_pred_src_dst*(1.0 - gpu_target_dstm_style_blur)
if self.options['ms_ssim_loss']: if self.options['ms_ssim_loss']:
gpu_src_loss = 10 * nn.MsSsim(resolution)(gpu_target_src_masked_opt, gpu_pred_src_src_masked_opt, max_val=1.0) gpu_src_loss = 10 * nn.MsSsim(bs_per_gpu, input_ch, resolution)(gpu_target_src_masked_opt, gpu_pred_src_src_masked_opt, max_val=1.0)
else: else:
if resolution < 256: if resolution < 256:
gpu_src_loss = tf.reduce_mean ( 10*nn.dssim(gpu_target_src_masked_opt, gpu_pred_src_src_masked_opt, max_val=1.0, filter_size=int(resolution/11.6)), axis=[1]) gpu_src_loss = tf.reduce_mean ( 10*nn.dssim(gpu_target_src_masked_opt, gpu_pred_src_src_masked_opt, max_val=1.0, filter_size=int(resolution/11.6)), axis=[1])
@ -476,7 +476,7 @@ Examples: df, liae, df-d, df-ud, liae-ud, ...
if self.options['background_power'] > 0: if self.options['background_power'] > 0:
bg_factor = self.options['background_power'] bg_factor = self.options['background_power']
if self.options['ms_ssim_loss']: if self.options['ms_ssim_loss']:
gpu_src_loss += bg_factor * 10 * nn.MsSsim(resolution)(gpu_target_src, gpu_pred_src_src, max_val=1.0) gpu_src_loss += bg_factor * 10 * nn.MsSsim(bs_per_gpu, input_ch, resolution)(gpu_target_src, gpu_pred_src_src, max_val=1.0)
else: else:
if resolution < 256: if resolution < 256:
gpu_src_loss += bg_factor * tf.reduce_mean ( 10*nn.dssim(gpu_target_src, gpu_pred_src_src, max_val=1.0, filter_size=int(resolution/11.6)), axis=[1]) gpu_src_loss += bg_factor * tf.reduce_mean ( 10*nn.dssim(gpu_target_src, gpu_pred_src_src, max_val=1.0, filter_size=int(resolution/11.6)), axis=[1])
@ -495,7 +495,7 @@ Examples: df, liae, df-d, df-ud, liae-ud, ...
gpu_src_loss += tf.reduce_mean( (10*bg_style_power)*tf.square(gpu_psd_target_dst_style_anti_masked - gpu_target_dst_style_anti_masked), axis=[1,2,3] ) gpu_src_loss += tf.reduce_mean( (10*bg_style_power)*tf.square(gpu_psd_target_dst_style_anti_masked - gpu_target_dst_style_anti_masked), axis=[1,2,3] )
if self.options['ms_ssim_loss']: if self.options['ms_ssim_loss']:
gpu_dst_loss = 10 * nn.MsSsim(resolution)(gpu_target_dst_masked_opt, gpu_pred_dst_dst_masked_opt, max_val=1.0) gpu_dst_loss = 10 * nn.MsSsim(bs_per_gpu, input_ch, resolution)(gpu_target_dst_masked_opt, gpu_pred_dst_dst_masked_opt, max_val=1.0)
else: else:
if resolution < 256: if resolution < 256:
gpu_dst_loss = tf.reduce_mean ( 10*nn.dssim(gpu_target_dst_masked_opt, gpu_pred_dst_dst_masked_opt, max_val=1.0, filter_size=int(resolution/11.6) ), axis=[1]) gpu_dst_loss = tf.reduce_mean ( 10*nn.dssim(gpu_target_dst_masked_opt, gpu_pred_dst_dst_masked_opt, max_val=1.0, filter_size=int(resolution/11.6) ), axis=[1])
@ -518,7 +518,7 @@ Examples: df, liae, df-d, df-ud, liae-ud, ...
if self.options['background_power'] > 0: if self.options['background_power'] > 0:
bg_factor = self.options['background_power'] bg_factor = self.options['background_power']
if self.options['ms_ssim_loss']: if self.options['ms_ssim_loss']:
gpu_dst_loss += bg_factor * 10 * nn.MsSsim(resolution)(gpu_target_dst, gpu_pred_dst_dst, max_val=1.0) gpu_dst_loss += bg_factor * 10 * nn.MsSsim(bs_per_gpu, input_ch, resolution)(gpu_target_dst, gpu_pred_dst_dst, max_val=1.0)
else: else:
if resolution < 256: if resolution < 256:
gpu_dst_loss += bg_factor * tf.reduce_mean ( 10*nn.dssim(gpu_target_dst, gpu_pred_dst_dst, max_val=1.0, filter_size=int(resolution/11.6)), axis=[1]) gpu_dst_loss += bg_factor * tf.reduce_mean ( 10*nn.dssim(gpu_target_dst, gpu_pred_dst_dst, max_val=1.0, filter_size=int(resolution/11.6)), axis=[1])