Fix the issue when using latest python libraries on python 3.10+

.gitignore

@@ -0,0 +1,3 @@
+__pycache__
+dataset
+runs

common/load_data_hm36.py

@@ -160,7 +160,7 @@ def __getitem__(self, index):
         bb_box = np.array([0, 0, 1, 1])
         input_2D_update = input_2D
 
-        scale = np.float(1.0)
+        scale = float(1.0)
 
         return cam, gt_3D, input_2D_update, action, subject, scale, bb_box, cam_ind
 

main.py

@@ -132,7 +132,7 @@ def input_augmentation(input_2D, model):
     lr = opt.lr
     all_param += list(model.parameters())
     optimizer = optim.Adam(all_param, lr=opt.lr, amsgrad=True)
-    scheduler = torch.optim.lr_scheduler.ReduceLROnPlateau(optimizer, 'min', factor=0.317, patience=5, verbose=True)
+    scheduler = torch.optim.lr_scheduler.ReduceLROnPlateau(optimizer, 'min', factor=0.317, patience=5)
 
     for epoch in range(1, opt.nepoch):
         if opt.train:

model/Block.py

@@ -3,7 +3,7 @@
 import torch.nn as nn
 
 from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
-from timm.models.layers import DropPath
+from timm.layers import DropPath
 from model.GCN_conv import ModulatedGraphConv
 from model.Transformer import Attention, Mlp
 

requirement.txt

@@ -3,4 +3,9 @@ timm
 tensorboardX
 scipy
 filterpy
-tqdm
+tqdm
+yacs
+opencv-python
+numba
+scikit-image
+IPython