verify low res quality

verify_low_res.py

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+import os
+os.environ["CUDA_VISIBLE_DEVICES"] = "1"
+
+import tqdm
+import numpy as np
+import plotly.graph_objects as go
+
+from custom_utils.custom_utils import UV2Mesh, _maskFaces
+# from custom_utils.custom_utils import UV2Mesh, maskFacesBatch, _maskFaces
+
+
+if __name__ == '__main__':
+    folder = '/home/workspace/local-data/train_100/uv_static_filled_32'
+    mask = np.load('custom_utils/mask_256x512.npy')
+    F = np.load("custom_utils/smpl_faces.npy")
+    uv2mesh = UV2Mesh(res=256)
+
+    frames = os.listdir(folder)
+    visited = set()
+    meshes = []
+    count = 0
+
+    for frame in tqdm.tqdm(frames):
+        id, _ = frame.split('.')
+        frame_nr = ''
+
+        # id, frame_nr = frame.split('_')
+        frame_nr = frame_nr.split('.')[0]
+        if id in visited:
+            continue
+        visited.add(id)
+        print(id)
+        uv_unposed_no_shape = np.load(os.path.join(folder, id + '' + frame_nr + '.npz')); uv_unposed_no_shape = uv_unposed_no_shape['uv_static_filled']
+        mesh_mask = np.load(os.path.join('/home/workspace/local-data/train_100/mesh_mask', id + '.npy'))
+        mesh = uv2mesh(uv_unposed_no_shape[np.newaxis,:,:,:])[0].numpy()
+        mesh, faces = _maskFaces(mesh, F, mesh_mask)
+        x = mesh
+        # x[:, 2] += 1 * (i + 1)
+        x[:, 1] += 0.5 * count
+        meshes.append(go.Mesh3d(
+                    # 8 vertices of a cube
+                    x=x[:,0],
+                    y=x[:,1],
+                    z=x[:,2],
+                    # i, j and k give the vertices of triangles
+                    i = faces[:,0],
+                    j = faces[:,1],
+                    k = faces[:,2]
+                    ))
+        count += 1
+
+        if count > 40:
+            break
+
+
+
+    fig = go.Figure(data=meshes)
+    fig.update_layout(scene_aspectmode='manual', scene_aspectratio=dict(x=1, y=count/2-1, z=1))
+    fig.update_layout(
+        scene = dict(
+            xaxis = dict(nticks=4, range=[-1,1],),
+                        yaxis = dict(nticks=4, range=[-1,count/2+1],),
+                        zaxis = dict(nticks=4, range=[-1,1],),)
+                        )
+
+    fig.show()
+
+    print()
+