rename get_varialbe -> get_variable everywhere

Author: deruyter92

animals/scripts/main_animal3d.py

@@ -75,7 +75,7 @@ def step(split, args, actions, dataLoader, model, optimizer=None, epoch=None, st
         #  gt_3D shape: torch.Size([B, J, 4]) (x,y,z + homogeneous coordinate)
         gt_3D = gt_3D[:,:,:3]  # only use x,y,z for 3D ground truth
 
-        # [input_2D, gt_3D, batch_cam, vis_3D] = get_varialbe(split, [input_2D, gt_3D, batch_cam, vis_3D])
+        # [input_2D, gt_3D, batch_cam, vis_3D] = get_variable(split, [input_2D, gt_3D, batch_cam, vis_3D])
 
         # unsqueeze frame dimension
         input_2D = input_2D.unsqueeze(1)  # (B,F,J,C)

fmpose3d/animals/common/utils.py

@@ -219,7 +219,7 @@ def update(self, val, n=1):
         self.avg = self.sum / self.count
 
 
-def get_varialbe(split, target):
+def get_variable(split, target):
     device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
     num = len(target)
     var = []

fmpose3d/common/__init__.py

@@ -22,7 +22,7 @@
     save_top_N_models,
     test_calculation,
     print_error,
-    get_varialbe,
+    get_variable,
 )
 
 __all__ = [
@@ -36,6 +36,6 @@
     "save_top_N_models",
     "test_calculation",
     "print_error",
-    "get_varialbe",
+    "get_variable",
 ]
 

fmpose3d/common/utils.py

@@ -185,7 +185,7 @@ def update(self, val, n=1):
         self.avg = self.sum / self.count
 
 
-def get_varialbe(split, target):
+def get_variable(split, target):
     device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
     num = len(target)
     var = []

scripts/FMPose3D_main.py

@@ -78,7 +78,7 @@ def test_multi_hypothesis(
 
     for i, data in enumerate(tqdm(dataLoader, 0)):
         batch_cam, gt_3D, input_2D, action, subject, scale, bb_box, cam_ind = data
-        [input_2D, gt_3D, batch_cam, scale, bb_box] = get_varialbe(
+        [input_2D, gt_3D, batch_cam, scale, bb_box] = get_variable(
             split, [input_2D, gt_3D, batch_cam, scale, bb_box]
         )
 
@@ -165,7 +165,7 @@ def train(opt, train_loader, model, optimizer):
 
     for i, data in enumerate(tqdm(train_loader, 0)):
         batch_cam, gt_3D, input_2D, action, subject, scale, bb_box, cam_ind = data
-        [input_2D, gt_3D, batch_cam, scale, bb_box] = get_varialbe(
+        [input_2D, gt_3D, batch_cam, scale, bb_box] = get_variable(
             split, [input_2D, gt_3D, batch_cam, scale, bb_box]
         )