soheilrayatdoost / continuousemotiondetection Goto Github PK
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License: GNU General Public License v3.0
Analysis of EEG Signals and Facial Expressions for Continuous Emotion Detection code
License: GNU General Public License v3.0
I cloned the repo and while running the code the following error came
Epoch 00023: val_loss did not improve from 0.00738
Epoch 24/25
143/143 [==============================] - 4s 25ms/step - loss: 0.0098 - val_loss: 0.0072
Epoch 00024: val_loss improved from 0.00738 to 0.00722, saving model to weights.bestFLF.hdf5
Epoch 25/25
143/143 [==============================] - 4s 25ms/step - loss: 0.0095 - val_loss: 0.0074
Epoch 00025: val_loss did not improve from 0.00722
Traceback (most recent call last):
File "ContinousEmotionDetection.py", line 276, in <module>
mseEeg,rmseEeg,pearsonCofEeg,prdictTestEeg = evaluteSeq(modelEeg,testEeg, labelTest,batchSize,lenSeqTest)
File "ContinousEmotionDetection.py", line 181, in evaluteSeq
mse, rmse, pearsonCof = metricSeq(labelreal, labelPredic, lenSeq)
File "ContinousEmotionDetection.py", line 199, in metricSeq
pearson.append(pearsonr(predictSeq, realSeq)[0])
File "/usr/local/lib/python3.5/dist-packages/scipy/stats/stats.py", line 3410, in pearsonr
xmean = x.mean(dtype=dtype)
File "/home/lab06/.local/lib/python3.5/site-packages/numpy/core/_methods.py", line 75, in _mean
ret = umr_sum(arr, axis, dtype, out, keepdims)
TypeError: No loop matching the specified signature and casting
was found for ufunc add
I changed my numpy version as mentioned here. But the error still persists. What to do now?
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