disable random resize crop + ft config

src/train.py

@@ -78,6 +78,7 @@ def main(args, resume_preempt=False):
     use_horizontal_flip = args["data"]["use_horizontal_flip"]
     use_color_distortion = args["data"]["use_color_distortion"]
     color_jitter = args["data"]["color_jitter_strength"]
+    use_random_resized_crop = args["data"].get("use_random_resized_crop", True)
     # --
     batch_size = args["data"]["batch_size"]
     pin_mem = args["data"]["pin_mem"]
@@ -181,6 +182,7 @@ def main(args, resume_preempt=False):
         horizontal_flip=use_horizontal_flip,
         color_distortion=use_color_distortion,
         color_jitter=color_jitter,
+        use_random_resized_crop=use_random_resized_crop,
     )
 
     # -- init data-loaders/samplers

src/train_supervised.py

@@ -239,6 +239,7 @@ def main(args, resume_preempt=False):
         color_distortion=d_args["use_color_distortion"],
         color_jitter=d_args["color_jitter_strength"],
         gaussian_blur=d_args["use_gaussian_blur"],
+        use_random_resized_crop=d_args.get("use_random_resized_crop", True),
     )
     val_transform = make_transform_eval(
         crop_size=d_args["crop_size"],

src/transforms.py

@@ -23,6 +23,7 @@ def make_transforms(
     horizontal_flip=False,
     color_distortion=False,
     gaussian_blur=False,
+    use_random_resized_crop=True,
     normalization=((0.485, 0.456, 0.406), (0.229, 0.224, 0.225)),
 ):
     logger.info("making imagenet data transforms")
@@ -36,7 +37,14 @@ def make_transforms(
         return color_distort
 
     transform_list = []
-    transform_list += [transforms.RandomResizedCrop(crop_size, scale=crop_scale)]
+    if use_random_resized_crop:
+        transform_list += [transforms.RandomResizedCrop(crop_size, scale=crop_scale)]
+    else:
+        resize_size = int(crop_size * 256 / 224)
+        transform_list += [
+            transforms.Resize(resize_size),
+            transforms.CenterCrop(crop_size),
+        ]
     if horizontal_flip:
         transform_list += [transforms.RandomHorizontalFlip()]
     if color_distortion: