really high res images... will be slow.

callbacks.py

@@ -35,12 +35,14 @@ class SaveImageCallback(Callback):
             version = pl_module.trainer.logger.version
             fname = Path(f"{self.final_dir}") / Path(f"v{version}")
             pl_module.eval()
-            create_circle(pl_module, fname=fname)
+            create_circle(pl_module, fname=fname, dpi=300, figsize=(6, 6))
             if self.save_interval > 0:
                 import os
 
                 log_dir = str(Path(pl_module.trainer.logger.log_dir))
                 fps = 12
-                os.system(
-                    f'ffmpeg -i {log_dir}/e%04d.png -c:v libx264 -vf "fps={fps},format=yuv420p,pad=ceil(iw/2)*2:ceil(ih/2)*2" {log_dir}/a{version}.mp4'
-                )
+                _cmd = f'ffmpeg -r {fps} -f image2 -i {log_dir}/e%04d.png -vcodec libx264 -crf 25 -pix_fmt yuv420p -vf "scale=1920:1080:force_original_aspect_ratio=decrease,pad=1920:1080:(ow-iw)/2:(oh-ih)/2:color=white" {log_dir}/a{version}.mp4'
+                os.system(_cmd)
+                # os.system(
+                #     f'ffmpeg -i {log_dir}/e%04d.png -c:v libx264 -vf "fps={fps},format=yuv420p,pad=ceil(iw/2)*2:ceil(ih/2)*2" {log_dir}/a{version}.mp4'
+                # )

newsearch.py

@@ -33,7 +33,7 @@ depths = [1, 2, 4, 8, 16]
 # widths, depths = [512], [4]
 
 batch_size_values = [256]
-max_epochs_values = [100]
+max_epochs_values = [420]  # at 12 fps, around 35s
 seeds = list(range(21, 1992))
 optimizers = [
     # "Adagrad",