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Thanks to your exciting work :), But i got few questions about your action recognize model:
how do you prepare your dataset, and how to train it?
Is the dataset that you use not large enough? I runned this code to predict a scene of a man fall down with people around, but the result showed that it is a high rate to miss or wrong recognize
The text was updated successfully, but these errors were encountered:
I know how to train it right now, but I used your .csv file without modify any of your code and faced confuse problem. After training, I can't load the weight file I have trained, the error print: model = load_model('framewise_recognition_trained_myself.h5')
File "D:\Anaconda3\lib\site-packages\keras\engine\saving.py", line 264, in load_model
load_weights_from_hdf5_group(f['model_weights'], model.layers)
File "D:\Anaconda3\lib\site-packages\keras\engine\saving.py", line 901, in load_weights_from_hdf5_group
str(len(filtered_layers)) + ' layers.')
ValueError: You are trying to load a weight file containing 7 layers into a model with 0 layers.
Thanks to your exciting work :), But i got few questions about your action recognize model:
The text was updated successfully, but these errors were encountered: