Reputation: 431
I am trying to run a project from github , every object counter applications using sort algorithm. I can't run any of them because of a specific error, attaching errors screenshot. Can anyone help me about fixing this issue?
Upvotes: 26
Views: 56357
Reputation: 353
pip
to install lap
and optionally scipy
;def linear_assignment(cost_matrix):
try:
import lap
_, x, y = lap.lapjv(cost_matrix, extend_cost=True)
return np.array([[y[i], i] for i in x if i >= 0])
except ImportError:
from scipy.optimize import linear_sum_assignment
x, y = linear_sum_assignment(cost_matrix)
return np.array(list(zip(x, y)))
Upvotes: 2
Reputation: 178
As yiakwy points out in a github comment the scipy.optimize.linear_sum_assignment
is not the perfect replacement:
I am concerned that linear_sum_assignment is not equivalent to linear_assignment which later implements "maximum values" matching strategy not "complete matching" strategy, i.e. in tracking problem maybe an old landmark lost and a new detection coming in. We don't have to make a complete assignment, just match as more as possible.
I have found this out while trying to use it inside SORT-based yolo tracking code which that replacement broke (I was lucky that it did otherwise, I would get wrong results from the experiments without realising it...)
Instead, I suggest copying the module itself to the last version of sklearn and include as module in your code.
https://github.com/scikit-learn/scikit-learn/blob/0.22.X/sklearn/utils/linear_assignment_.py
For instance if you copy this file into an utils
directory import with from utils.linear_assignment_ import linear_assignment
Upvotes: 14
Reputation: 995
The linear_assignment
function is deprecated in 0.21 and will be removed from 0.23, but sklearn.utils.linear_assignment_
can be replaced by scipy.optimize.linear_sum_assignment
.
You can use:
from scipy.optimize import linear_sum_assignment as linear_assignment
then you can run the file and don't need to change the code.
Upvotes: 77
Reputation: 995
You are getting this error because you haven't install scikit module yet. Install scikit-learn module from https://pypi.org/project/scikit-learn/
Upvotes: -4