Run the training
/home/jcc/Semantic-Segmentation-using-Adversarial-Networks/utils.py:193: RuntimeWarning: invalid value encountered in true_divide
acc_cls = np.diag(hist) / hist.sum(axis=1)
/home/jcc/Semantic-Segmentation-using-Adversarial-Networks/utils.py:195: RuntimeWarning: invalid value encountered in true_divide
iu = np.diag(hist) / (hist.sum(axis=1) + hist.sum(axis=0) - np.diag(hist))
and the training just seems to stop here, and nothing indicating the training process is showing here!
And if I ignore this by:
import numpy as np
np.seterr(divide='ignore', invalid='ignore'),
the training stop here too.
Is this cause by not finding the data? But my dataset is already here:
Run the training /home/jcc/Semantic-Segmentation-using-Adversarial-Networks/utils.py:193: RuntimeWarning: invalid value encountered in true_divide acc_cls = np.diag(hist) / hist.sum(axis=1) /home/jcc/Semantic-Segmentation-using-Adversarial-Networks/utils.py:195: RuntimeWarning: invalid value encountered in true_divide iu = np.diag(hist) / (hist.sum(axis=1) + hist.sum(axis=0) - np.diag(hist))
and the training just seems to stop here, and nothing indicating the training process is showing here! And if I ignore this by: import numpy as np np.seterr(divide='ignore', invalid='ignore'), the training stop here too. Is this cause by not finding the data? But my dataset is already here: