alxcnwy / deep-neural-networks-for-video-classification Goto Github PK
View Code? Open in Web Editor NEWDeep Neural Networks for Video Classification
Deep Neural Networks for Video Classification
path_labels_file = pwd + 'penguin_label_timestamps.csv' this file not available and the code for creating the lablel.cvs not avalible
please guide me on how I can solve these problems
2020-11-11 18:45:17,086 [MainThread ] [WARNI] Can save best model only with val_acc available, skipping.
2020-11-11 18:45:17,296 [MainThread ] [WARNI] Early stopping conditioned on metric `val_acc` which is not available. Available metrics are: loss,accuracy,val_loss,val_accuracy
2020-11-11 18:45:17,297 [MainThread ] [WARNI] Can save best model only with val_acc available, skipping.
H1 {'loss': [1.3797682523727417, 0.6599361300468445, 0.6564924120903015, 0.5561164021492004, 0.4747893810272217, 0.3267454504966736, 0.3100120425224304, 0.1791907399892807, 0.29043635725975037, 0.1876538246870041, 0.1521572321653366, 0.22007215023040771, 0.06935647875070572, 0.09439448267221451, 0.20947016775608063, 0.27807852625846863, 0.15932726860046387, 0.11780016869306564, 0.09338890016078949, 0.13629283010959625], 'accuracy': [0.5182186365127563, 0.6396760940551758, 0.6518218517303467, 0.71659916639328, 0.7773279547691345, 0.8663967847824097, 0.8704453706741333, 0.931174099445343, 0.8866396546363831, 0.9271255135536194, 0.9392712712287903, 0.898785412311554, 0.9797570705413818, 0.9554656147956848, 0.9271255135536194, 0.8866396546363831, 0.9433198571205139, 0.9433198571205139, 0.9554656147956848, 0.9473684430122375], 'val_loss': [0.9056219458580017, 0.8241466879844666, 0.7785531282424927, 0.5593583583831787, 0.7367925047874451, 0.8970717191696167, 0.5637212991714478, 0.6786322593688965, 0.9303268790245056, 0.7068821787834167, 1.7561753988265991, 1.0093439817428589, 0.7377994060516357, 0.8516809344291687, 0.9103375673294067, 0.982994794845581, 1.294120192527771, 1.17690110206604, 0.7544564008712769, 0.7987895607948303], 'val_accuracy': [0.5032258033752441, 0.5032258033752441, 0.5032258033752441, 0.7096773982048035, 0.6516128778457642, 0.6903225779533386, 0.7225806713104248, 0.7096773982048035, 0.6838709712028503, 0.7612903118133545, 0.6709677577018738, 0.7225806713104248, 0.7870967984199524, 0.7806451320648193, 0.6193548440933228, 0.7225806713104248, 0.7032257914543152, 0.7483870983123779, 0.7870967984199524, 0.7354838848114014]}
stopped_epoch1 19
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
<ipython-input-10-eae6ea118bfc> in <module>
15 verbose=True)
16
---> 17 architecture.train_model()
18
19 gc.collect()
D:\***\Deep-Neural-Networks-for-Video-Classification\deepvideoclassification\architectures.py in train_model(self, epochs, patience)
928 print('H1', history1.history)
929 print('stopped_epoch1',stopped_epoch1)
--> 930 print(len(history1.history['val_acc']))
931 print(history1.history['val_acc'][stopped_epoch1])
932
KeyError: 'val_acc'
Hi, just a quick question.
I have downloaded your repo, nice job.
If I run the code as it is now it's set for task 1: "Detect animals in camera trap videos"
How do you set up the model to classify animal actions instead of doing "seal" vs "no seal" classifications?
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