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Home Page: http://35.227.39.159:5050/
Interpretable Image Search by Priyam Tejaswin and Akshay Chawla
Home Page: http://35.227.39.159:5050/
SETUP
bash SETUP.sh
python scrape_and_save_images.py
python extract_word_embeddings.py
python shuffle_val_data.py
python clean_data.py TRAIN
python clean_data.py VALID
python extract_features_and_dump.py TRAIN
// GET A MIS-ALIGNMENT ERROR//
when running "python extract_features_and_dump.py TRAIN
..........
File "/usr/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py", line 610, in call_cpp_shape_fn
debug_python_shape_fn, require_shape_fn)
File "/usr/lib/python2.7/site-packages/tensorflow/python/framework/common_shapes.py", line 676, in _call_cpp_shape_fn_impl
raise ValueError(err.message)
ValueError: Dimension 0 in both shapes must be equal, but are 3 and 64 for 'Assign' (op: 'Assign') with input shapes: [3,3,224,64], [64,3,3,3].
prior to this error, I got another error:
ValueError: Negative dimension size caused by subtracting 2 from 1 for 'block2_pool/MaxPool' (op: 'MaxPool') with input shapes: [?,1,112,128].
to attempt to address this error, I added parameter dim_ordering="th" in the MaxPooling2D calls.
Please advise what would be good steps to address these errors.
Is there an update for model building in python_extract_features_and_dump.py ?
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