luni/cvpr
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

add posed mesh, metrics, tanh, l1 with gt

Browse Source
This commit is contained in:
luni
2022-06-17 19:41:16 +00:00
parent cf1c536260
commit a14acceeb6
5 changed files with 87 additions and 33 deletions
Download Patch File Download Diff File Expand all files Collapse all files
dataset.py
+3 -2
View File
@@ -26,14 +26,15 @@ class DatasetSimple(tf.data.Dataset):
mesh_body_posed = np.load(os.path.join(folder, 'mesh_body_posed', id + '_' + frame_nr + '.npy'))
mesh_mask = np.load(os.path.join(folder, 'mesh_mask', id + '.npy')); mesh_mask = mesh_mask.astype(np.float32)
uv_mask = np.load(os.path.join(folder, 'uv_mask', id + '.npz')); uv_mask=uv_mask['uv_mask']; uv_mask = uv_mask.astype(np.float32)
mesh_posed = np.load(os.path.join(folder, 'mesh_posed', id + '_' + frame_nr + '.npz')); mesh_posed = mesh_posed['mesh_posed']
# uv_posed, (pose, shape, uv_static), mesh_static, mesh_body_posed, mask
yield uv_posed, (pose_shape[:72], pose_shape[72:], uv_static, uv_mask, uv_body_posed), mesh_static, mesh_body_posed, mesh_mask
yield uv_posed, (pose_shape[:72], pose_shape[72:], uv_static, uv_mask, uv_body_posed), mesh_static, mesh_body_posed, mesh_mask, mesh_posed
def __new__(cls, folder, res=256):
return tf.data.Dataset.from_generator(
cls._generator,
output_signature = (tf.TensorSpec(shape = (3, res * 2, res,), dtype = tf.float32), (tf.TensorSpec(shape = (72), dtype = tf.float32), tf.TensorSpec(shape = (11), dtype = tf.float32), tf.TensorSpec(shape = (3, res * 2, res,), dtype = tf.float32), tf.TensorSpec(shape = (res * 2, res,), dtype = tf.float32), tf.TensorSpec(shape = (3, res * 2, res,), dtype = tf.float32) ), tf.TensorSpec(shape = (14475, 3,), dtype = tf.float32), tf.TensorSpec(shape = (14475, 3,), dtype = tf.float32), tf.TensorSpec(shape = (14475,), dtype = tf.float32) ),
output_signature = (tf.TensorSpec(shape = (3, res * 2, res,), dtype = tf.float32), (tf.TensorSpec(shape = (72), dtype = tf.float32), tf.TensorSpec(shape = (11), dtype = tf.float32), tf.TensorSpec(shape = (3, res * 2, res,), dtype = tf.float32), tf.TensorSpec(shape = (res * 2, res,), dtype = tf.float32), tf.TensorSpec(shape = (3, res * 2, res,), dtype = tf.float32) ), tf.TensorSpec(shape = (14475, 3,), dtype = tf.float32), tf.TensorSpec(shape = (14475, 3,), dtype = tf.float32), tf.TensorSpec(shape = (14475,), dtype = tf.float32), tf.TensorSpec(shape = (14475, 3,), dtype = tf.float32) ),
args=(folder, )
)