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HI
where I have to change for 'float' ?
here the error message
(laneatt) bjku@bjku:~/LaneATT$ python main.py train --exp_name laneatt_r34_tusimple --cfg cfgs/laneatt_tusimple_resnet34.yml
Traceback (most recent call last):
File "main.py", line 6, in
from lib.config import Config
File "/home/bjku/LaneATT/lib/config.py", line 4, in
import lib.datasets as datasets
File "/home/bjku/LaneATT/lib/datasets/init.py", line 1, in
from .lane_dataset import LaneDataset
File "/home/bjku/LaneATT/lib/datasets/lane_dataset.py", line 15, in
from .tusimple import TuSimple
File "/home/bjku/LaneATT/lib/datasets/tusimple.py", line 8, in
from utils.tusimple_metric import LaneEval
File "/home/bjku/LaneATT/utils/tusimple_metric.py", line 4, in
from sklearn.linear_model import LinearRegression
File "/home/bjku/miniconda3/envs/laneatt/lib/python3.8/site-packages/sklearn/linear_model/init.py", line 11, in
from ._least_angle import (Lars, LassoLars, lars_path, lars_path_gram, LarsCV,
File "/home/bjku/miniconda3/envs/laneatt/lib/python3.8/site-packages/sklearn/linear_model/_least_angle.py", line 34, in
method='lar', copy_X=True, eps=np.finfo(np.float).eps,
File "/home/bjku/miniconda3/envs/laneatt/lib/python3.8/site-packages/numpy/init.py", line 305, in getattr
raise AttributeError(former_attrs[attr])
AttributeError: module 'numpy' has no attribute 'float'. np.float was a deprecated alias for the builtin float. To avoid this error in existing code, use float by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use np.float64 here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
The text was updated successfully, but these errors were encountered:
HI
where I have to change for 'float' ?
here the error message
(laneatt) bjku@bjku:~/LaneATT$ python main.py train --exp_name laneatt_r34_tusimple --cfg cfgs/laneatt_tusimple_resnet34.yml
Traceback (most recent call last):
File "main.py", line 6, in
from lib.config import Config
File "/home/bjku/LaneATT/lib/config.py", line 4, in
import lib.datasets as datasets
File "/home/bjku/LaneATT/lib/datasets/init.py", line 1, in
from .lane_dataset import LaneDataset
File "/home/bjku/LaneATT/lib/datasets/lane_dataset.py", line 15, in
from .tusimple import TuSimple
File "/home/bjku/LaneATT/lib/datasets/tusimple.py", line 8, in
from utils.tusimple_metric import LaneEval
File "/home/bjku/LaneATT/utils/tusimple_metric.py", line 4, in
from sklearn.linear_model import LinearRegression
File "/home/bjku/miniconda3/envs/laneatt/lib/python3.8/site-packages/sklearn/linear_model/init.py", line 11, in
from ._least_angle import (Lars, LassoLars, lars_path, lars_path_gram, LarsCV,
File "/home/bjku/miniconda3/envs/laneatt/lib/python3.8/site-packages/sklearn/linear_model/_least_angle.py", line 34, in
method='lar', copy_X=True, eps=np.finfo(np.float).eps,
File "/home/bjku/miniconda3/envs/laneatt/lib/python3.8/site-packages/numpy/init.py", line 305, in getattr
raise AttributeError(former_attrs[attr])
AttributeError: module 'numpy' has no attribute 'float'.
np.float
was a deprecated alias for the builtinfloat
. To avoid this error in existing code, usefloat
by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, usenp.float64
here.The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
The text was updated successfully, but these errors were encountered: