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deepvo's Issues

Information about the dataset

Hi,

Can you please tell us about the structure of your dataset like what are the sequences , what is chunk size and all the parameters used to create the batches. It is bit confusing to understand without looking at the dataset. It would be really helpful if you could tell us about the structure of your data

Thanks

How to run the code and check the results

Please give the instructions to run the code
I am using pycharm, How to give the arugments. I gave dataset path as the folder with images
usage: Train the DeepVO model [-h] -d DATASET -o
{Adagrad,Adam,GradientDescent,Ftrl,Momentum,Adadelta,ProximalAdagrad,ProximalGradientDescent,SyncReplicas,RMSProp,AdagradDA}
-l LEARNING_RATE -b BATCH_SIZE -e EPOCHS
[-f FLOWNET] -m MEMORY_SIZE -s SEQUENCE_LENGTH
[-r] [-v] [-w WIDTH] [-c]
Train the DeepVO model: error: the following arguments are required: -d/--dataset, -o/--optimizer, -l/--learning-rate, -b/--batch-size, -e/--epochs, -m/--memory-size, -s/--sequence-length

When I modified the line
parser.add_argument('-d', '--dataset', default='/home/ubuntu/Downloads/2011_09_26/2011_09_26_drive_0001_extract/image_00' , type=str, required=True, help='data')
Still I have the same error
Please help me to solve this issue

Warning:: tensorFlow

WARNING:tensorflow:From /home/ubuntu/anaconda3/envs/deepVO/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/base.py:198: retry (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.
Instructions for updating:
Use the retry module or similar alternatives.

How can I solve the above issue.

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