verify uv mask alignement

verify_uv_mask_low.py

@@ -0,0 +1,50 @@
+# check if downscaled mask amtches the uv maps, not losing information
+
+import os
+os.environ["CUDA_VISIBLE_DEVICES"] = "3"
+
+import tqdm
+import numpy as np
+import plotly.graph_objects as go
+import plotly.express as ex
+
+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'
+    mask = np.load('custom_utils/mask_256x512.npy')
+    F = np.load("custom_utils/smpl_faces.npy")
+    uv2mesh = UV2Mesh(res=256)
+    res = 32
+    res_modifier = '_' + str(res)
+
+
+    frames = os.listdir(os.path.join(folder, 'pose_shape'))
+    visited = set()
+    meshes = []
+    count = 0
+
+    for frame in tqdm.tqdm(frames):
+        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, 'uv_unposed_no_shape' + res_modifier, id + '_' + frame_nr + '.npz'));  uv_unposed_no_shape = uv_unposed_no_shape['uv_unposed_no_shape']
+        uv_mask = np.load(os.path.join(folder, 'uv_mask' + res_modifier, id + '.npz')); uv_mask = uv_mask['uv_mask']
+
+        check_1 = uv_unposed_no_shape * uv_mask[:,:,np.newaxis]
+        check_2 = uv_unposed_no_shape * uv_mask[:,:,np.newaxis] - uv_unposed_no_shape
+
+        img = np.concatenate((uv_unposed_no_shape, np.tile(uv_mask[:,:,np.newaxis], [1,1,3]), check_1, check_2), axis=1)
+
+        ex.imshow(img).show()
+
+        print()
+
+
+
+# WORKS!