visual-qa
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avisingh599
[Reimplementation Antol et al 2015] Keras-based LSTM/CNN models for Visual Question Answering
lstm_1_num_hidden_units_lstm_512_num_hidden_units_mlp_1024_num_hidden_layers_mlp_3.json , this seems to be improper, any help on this ?
Hello! I' trying to run own_images.py , but I receive this error: `Traceback (most recent call last): File "own_image.py", line 65, in main() File "own_image.py", line 31, in main labelencoder...
Need to know about the order in which we should run the program files to implement the system.
I installed Visual-qa in a Docker container run on a Mac. While running get_started.sh, I ran into trouble with > python dumpText.py -split train -answers modal Running that line separately,...
running own_image.py I got that error. File "/usr/local/lib/python2.7/dist-packages/keras/utils/generic_utils.py", line 122, in deserialize_keras_object raise ValueError('Improper config format: ' + str(config)) ValueError: Improper config format: {u'layers': [{u'layers': [{u'layers': [{u'truncate_gradient': -1, u'name': u'LSTM',...
I think the dumpText.py script creates a file with an _all prefix at the end. The eval scripts should be updated to match. For example: `- images_val = open('../data/preprocessed/images_val2014.txt', `...
rzai@rzai00:~/prj/visual-qa/scripts$ CUDA_VISIBLE_DEVICES=1 python trainLSTM_language.py Using Theano backend. Using gpu device 0: GeForce GTX 1080 (CNMeM is disabled, cuDNN 5105) Loaded questions, sorting by length... Compiling model... Compilation done... loaded word2vec...
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[Reimplementation Antol et al 2015] Keras-based LSTM/CNN models for Visual Question Answering