dir

2 files changed, 6 insertions, 7 deletions

diff --git a/crop_frames.py b/crop_frames.py
index 2462e7b..7f42d47 100644
--- a/crop_frames.py
+++ b/crop_frames.py
@@ -9,7 +9,6 @@ from PIL import Image
 parser = argparse.ArgumentParser()
 parser.add_argument('--step', default=256, type=int)
 parser.add_argument('--overlap', default=2, type=int)
-parser.add_argument('--scale', default=4, type=int)
 parser.add_argument('--in_dir', help='Directory to process')
 parser.add_argument('--out_dir', default='crops', help='Directory to output to')
 args = parser.parse_args()
@@ -19,7 +18,7 @@ def crop_dir():
   overlap = args.overlap
   side = step + overlap * 2
   files = glob.glob('{}/*.png'.format(args.in_dir))
-  print(files)
+  # print(files)
 
   img = Image.open(files[0])
   width, height = img.size
diff --git a/test.py b/test.py
index 57779ff..3b3db01 100644
--- a/test.py
+++ b/test.py
@@ -17,9 +17,9 @@ parser = argparse.ArgumentParser()
 parser.add_argument('--L', metavar='L', type=int, default=choice([16, 28, 52]), help='Network depth: One of 16, 28, 52')
 parser.add_argument('--T', metavar='T', default='L', help='Input type: L(Low-resolution) or G(Ground-truth)')
 parser.add_argument('--in_dir', metavar='in_dir', default=None, help='Directory to process')
-parser.add_argument('--out_dir', metavar='out_dir', default='/media/blue/uprez', help='Directory to output to')
+parser.add_argument('--out_dir', metavar='out_dir', default='/media/blue/uprez/results', help='Directory to output to')
 parser.add_argument('--network_dir', default='.', help='Path to networks')
-parser.add_argument('--no_mov', action='store_true')
+parser.add_argument('--mov_from_dirs', action='store_true')
 args = parser.parse_args()
 
 # Size of input temporal radius
@@ -46,13 +46,13 @@ def process_dir(dir):
     dataset = dir_partz[-2]
     part = dir_partz[-1]
     tag = '_'.join([dataset, str(args.L) + 'L', part])
-    out_path = os.path.join(args.out_dir, 'results', dataset, str(args.L) + 'L', part)
+    out_path = os.path.join(args.out_dir, dataset, str(args.L) + 'L', part)
     render_path = os.path.join(args.out_dir, 'renders')
     os.makedirs(out_path, exist_ok=True)
     os.makedirs(render_path, exist_ok=True)
     
     dir_frames = sorted(glob.glob(os.path.join(dir, '*.png')))
-    print(dir_frames)
+    # print(dir_frames)
 
     frames = []
     for f in dir_frames:
@@ -70,7 +70,7 @@ def process_dir(dir):
 
         Image.fromarray(np.around(out_H[0,0]*255).astype(np.uint8)).save('{}/frame_{:05d}.png'.format(out_path, i+1))
 
-    if not args.no_mov:
+    if args.mov_from_dirs:
         subprocess.call([
             'ffmpeg',
             '-hide_banner',