upload statistics

app.py

@@ -57,7 +57,7 @@ def plot_tomato(data, kinematic_chain, result_path, npy_path, fps, sigma=None):
 
 def create_lmm():
     config_path = "configs/lmm/lmm_small_demo.py"
-    ckpt_path = "pretrained/lmm_small_demo.pth"
+    ckpt_path = "data/motionverse/pretrained/lmm_small_demo.pth"
     cfg = mmcv.Config.fromfile(config_path)
     model = build_architecture(cfg.model)
     load_checkpoint(model, ckpt_path, map_location='cpu')
@@ -77,8 +77,8 @@ model_imagebind.eval()
 model_imagebind.to(device)
 rtg_skl = RetargetSkeleton(tgt_skel_file='data/motionverse/statistics/skeleton.npy')
 
-mean_path = "data/mean.npy"
-std_path = "data/std.npy"
+mean_path = "data/motionverse/statistics/mean.npy"
+std_path = "data/motionverse/statistics/std.npy"
 mean = np.load(mean_path)
 std = np.load(std_path)
 

data/motionverse/statistics/mean.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2efe92064aa41d05a6e1ca6312f5b64bd1002113846cf4b426080febb77c716c
+size 5480

data/motionverse/statistics/skeleton.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:70b867f6f2ff14f115586c5c1c2d48e64e3da3a2ada886715b5dd47c870ad4fe
+size 1118336

data/motionverse/statistics/std.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:396b74f2a0234d5fd0a0627e8516c0f990d07274fc86726341057b0cbf89b0bf
+size 5480