Update projector script; alternative losses still unstable

projector.py

@@ -226,7 +226,7 @@ def project(
             n_digits = int(np.log10(num_steps)) + 1 if num_steps > 0 else 1
             message = f'step {step + 1:{n_digits}d}/{num_steps}: percept loss {percept_error.item():.7e} | ' \
                       f'pixel mse {mse_error.item():.7e} | ssim {ssim_loss.item():.7e} | loss {loss.item():.7e}'
-            print(message)#, end='\r')
+            print(message, end='\r')
 
             last_status = {'percept_error': percept_error.item(),
                            'pixel_mse': mse_error.item(),
@@ -351,6 +351,7 @@ def project(
 @click.command()
 @click.pass_context
 @click.option('--network', '-net', 'network_pkl', help='Network pickle filename', required=True)
+@click.option('--cfg', help='Config of the network, used only if you want to use one of the models that are in torch_utils.gen_utils.resume_specs', type=click.Choice(['stylegan2', 'stylegan3-t', 'stylegan3-r']))
 @click.option('--target', '-t', 'target_fname', type=click.Path(exists=True, dir_okay=False), help='Target image file to project to', required=True, metavar='FILE')
 # Optimization options
 @click.option('--num-steps', '-nsteps', help='Number of optimization steps', type=click.IntRange(min=0), default=1000, show_default=True)
@@ -380,6 +381,7 @@ def project(
 def run_projection(
         ctx: click.Context,
         network_pkl: str,
+        cfg: str,
         target_fname: str,
         num_steps: int,
         initial_learning_rate: float,
@@ -422,6 +424,12 @@ def run_projection(
         loss_paper = 'sgan2'
 
     # Load networks.
+    # If model name exists in the gen_utils.resume_specs dictionary, use it instead of the full url
+    try:
+        network_pkl = gen_utils.resume_specs[cfg][network_pkl]
+    except KeyError:
+        # Otherwise, it's a local file or an url
+        pass
     print('Loading networks from "%s"...' % network_pkl)
     device = torch.device('cuda')
     with dnnlib.util.open_url(network_pkl) as fp: