Hi,

Thanks for sharing your tool. Unfortunately, I cannot make it work properly, whenever the server is running, it seems to be idle and navigating to localhost: gives me a 404 not found error (so the server responds but there is nothing to display).

Any thoughts? Thank you!

Here is a sample of the code that creates the issue:

from __future__ import print_function
import numpy as np
import h5py

from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation, Flatten
from keras.layers import Convolution2D, MaxPooling2D

# input image dimensions
img_rows, img_cols = 28, 28
# number of convolutional filters to use
nb_filters = 32
# size of pooling area for max pooling
pool_size = (2, 2)
# convolution kernel size
kernel_size = (3, 3)

nb_classes = 10

model = Sequential()
input_shape = (1,img_rows, img_cols)

model.add(Convolution2D(nb_filters, kernel_size[0], kernel_size[1],
                        border_mode='valid', activation='relu',
                        input_shape=input_shape))
model.add(Convolution2D(nb_filters, kernel_size[0], kernel_size[1], activation='relu'))
model.add(MaxPooling2D(pool_size=pool_size))
model.add(Dropout(0.25))

model.add(Flatten())
model.add(Dense(128, activation='relu'))
model.add(Dropout(0.5))
model.add(Dense(nb_classes, activation='softmax'))

model.compile(loss='categorical_crossentropy',
              optimizer='adadelta',
              metrics=['accuracy'])

model.load_weights('MNIST_weights.h5')

# launching the visualization server
from quiver_engine import server
server.launch(model, temp_folder='./tmp', input_folder='./', port=7777)

and here is the output of this script:

(tsflow) jeremie@jeremie-OptiPlex-9020:~/test$ python test.py 
Using TensorFlow backend.
127.0.0.1 - - [2016-11-14 17:51:54] "GET / HTTP/1.1" 404 374 0.005049
127.0.0.1 - - [2016-11-14 17:51:59] "GET / HTTP/1.1" 404 374 0.000828
127.0.0.1 - - [2016-11-14 17:52:01] "GET / HTTP/1.1" 404 374 0.000582

Hello, everything's in the title.

I am currently working with the MaskRCNN network described here: https://github.com/matterport/Mask_RCNN and I can't get past the server.launch. Apparently it can't get a pickle file from what I can tell...

Any way to get rid of that error? The server launches but the exception comes after that.

Thanks.

What happens if the model is for one channel images?

Exception: Error when checking : expected input_1 to have shape (1, 128, 128, 1) but got array with shape (1, 128, 128, 3)

Started quiver and it appears to launch normally. My model is visible in the left pane. However, no files visible on the right pane (path is correctly set and there are legit image files present).

Any thoughts?

I'm using Chrome on a Mac; keras 1.1.1; installed quiver via pip.

Perhaps its a browser issue?

get_layer_outputs() assumes tf ordering when deciding how many tiles are in an output. in 84... "for z in range(0, layer_outputs.shape[2]) "

layer_outputs.shape[2] only valid for tf, for theano, use layer_outputs.shape[0]

Also, img = layer_outputs[:,:,z] is tf dependent. Should be img = layer_outputs[z,:,:] for theano.

ImportError: No module named 'imagenet_utils' which seems to be coming from this line

https://github.com/jakebian/quiver/blob/master/quiver_engine/util.py#L4 which refers to this library https://github.com/fchollet/deep-learning-models/blob/master/imagenet_utils.py

It seems like this dependency is anyways only valid if the training set is imagenet based so maybe it would be good to make this more flexible and explicitly include the deep-learning-models as a dependency?

Pip install on Ubuntu 16.04 with Python 2.7 fails the following error

Installing collected packages: quiver-engine
  Running setup.py install for quiver-engine ... error
    Complete output from command /usr/bin/python -u -c "import setuptools, tokenize;__file__='/tmp/pip-build-Yr7lN5/quiver-engine/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" install --record /tmp/pip-XVYrCV-record/install-record.txt --single-version-externally-managed --compile:
    running install
    running build
    running build_py
    creating build
    creating build/lib.linux-x86_64-2.7
    creating build/lib.linux-x86_64-2.7/quiver_engine
    copying quiver_engine/util.py -> build/lib.linux-x86_64-2.7/quiver_engine
    copying quiver_engine/server.py -> build/lib.linux-x86_64-2.7/quiver_engine
    copying quiver_engine/__init__.py -> build/lib.linux-x86_64-2.7/quiver_engine
    copying quiver_engine/layer_result_generators.py -> build/lib.linux-x86_64-2.7/quiver_engine
    copying quiver_engine/imagenet_utils.py -> build/lib.linux-x86_64-2.7/quiver_engine
    running egg_info
    writing requirements to quiver_engine.egg-info/requires.txt
    writing quiver_engine.egg-info/PKG-INFO
    writing top-level names to quiver_engine.egg-info/top_level.txt
    writing dependency_links to quiver_engine.egg-info/dependency_links.txt
    warning: manifest_maker: standard file '-c' not found
    
    reading manifest file 'quiver_engine.egg-info/SOURCES.txt'
    reading manifest template 'MANIFEST.in'
    writing manifest file 'quiver_engine.egg-info/SOURCES.txt'
    Traceback (most recent call last):
      File "<string>", line 1, in <module>
      File "/tmp/pip-build-Yr7lN5/quiver-engine/setup.py", line 20, in <module>
        'pillow'
      File "/usr/lib/python2.7/distutils/core.py", line 151, in setup
        dist.run_commands()
      File "/usr/lib/python2.7/distutils/dist.py", line 953, in run_commands
        self.run_command(cmd)
      File "/usr/lib/python2.7/distutils/dist.py", line 972, in run_command
        cmd_obj.run()
      File "/usr/lib/python2.7/dist-packages/setuptools/command/install.py", line 61, in run
        return orig.install.run(self)
      File "/usr/lib/python2.7/distutils/command/install.py", line 601, in run
        self.run_command('build')
      File "/usr/lib/python2.7/distutils/cmd.py", line 326, in run_command
        self.distribution.run_command(command)
      File "/usr/lib/python2.7/distutils/dist.py", line 972, in run_command
        cmd_obj.run()
      File "/usr/lib/python2.7/distutils/command/build.py", line 128, in run
        self.run_command(cmd_name)
      File "/usr/lib/python2.7/distutils/cmd.py", line 326, in run_command
        self.distribution.run_command(command)
      File "/usr/lib/python2.7/distutils/dist.py", line 972, in run_command
        cmd_obj.run()
      File "/usr/lib/python2.7/dist-packages/setuptools/command/build_py.py", line 52, in run
        self.build_package_data()
      File "/usr/lib/python2.7/dist-packages/setuptools/command/build_py.py", line 107, in build_package_data
        for package, src_dir, build_dir, filenames in self.data_files:
      File "/usr/lib/python2.7/dist-packages/setuptools/command/build_py.py", line 65, in __getattr__
        self.data_files = self._get_data_files()
      File "/usr/lib/python2.7/dist-packages/setuptools/command/build_py.py", line 79, in _get_data_files
        return list(map(self._get_pkg_data_files, self.packages or ()))
      File "/usr/lib/python2.7/dist-packages/setuptools/command/build_py.py", line 91, in _get_pkg_data_files
        for file in self.find_data_files(package, src_dir)
      File "/usr/lib/python2.7/dist-packages/setuptools/command/build_py.py", line 98, in find_data_files
        + self.package_data.get(package, []))
    TypeError: can only concatenate list (not "str") to list
    
    ----------------------------------------
Command "/usr/bin/python -u -c "import setuptools, tokenize;__file__='/tmp/pip-build-Yr7lN5/quiver-engine/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" install --record /tmp/pip-XVYrCV-record/install-record.txt --single-version-externally-managed --compile" failed with error code 1 in /tmp/pip-build-Yr7lN5/quiver-engine/

We are running Quiver on Keras' default VGG16 model. Running the application works until we try to click on a layer and try to see the selected image's activations.

After numerous inserted print() statements, it appears that the code that asks for a generated prediction is giving only the image file name rather than the full path to the image; consequently we were able to see the predictions from VGG when we were in the images' own directory. The error seems to lie with whatever is processing requests from the HTML interface.

Thank you for producing this tool! We've been trying to find something like this for awhile (and/or write our own much more simplistic version).

Hi, I'm just trying to follow your demo with pre-trained VGG-19 model . But I keep getting this error after selecting the layer : No data for this layer

On the terminal, i get the following message : Exception: Error when checking : expected zeropadding2d_input_1 to have shape (None, 3, 224, 224) but got array with shape (1, 3, 3, 224)

Is this a problem due to my images ?

my code : model = VGG_19('vgg19_weights.h5') server.launch(model,input_folder='./input_images')

When I add the quiver in my code `server.launch( model, # a Keras Model

    # where to store temporary files generatedby quiver (e.g. image files of layers)
    temp_folder='tmp/',

    # a folder where input images are stored
    input_folder='dataset/',

    # the localhost port the dashboard is to be served on
    port=9000
)`

and run it, but the browser shows Not Found

The requested URL was not found on the server. If you entered the URL manually please check your spelling and try again. the terminal shows

127.0.0.1 - - [2016-11-17 15:02:26] "GET / HTTP/1.1" 404 374 0.006884 Created new window in existing browser session. 127.0.0.1 - - [2016-11-17 15:02:26] "GET /favicon.ico HTTP/1.1" 404 374 0.000999 127.0.0.1 - - [2016-11-17 15:03:00] "GET / HTTP/1.1" 404 374 0.000542 127.0.0.1 - - [2016-11-17 15:03:01] "GET / HTTP/1.1" 404 374 0.000735

from quiver_engine import server

ImportError Traceback (most recent call last) in () ----> 1 from quiver_engine import server

~\Anaconda3\envs\tensorflow\lib\site-packages\quiver_engine\server.py in () 11 from flask_cors import CORS 12 ---> 13 from gevent.wsgi import WSGIServer 14 15 from quiver_engine.util import (

ImportError: No module named 'gevent.wsgi'

After bugfixing the issues in #83 and the issue in #78, feeding a mobilenetv3 model will not show the model tree on the left side of the panel, but no errors are reported. I am mamking sure of feeding a full model, as i know it is not possible to properly access collapsed keras models:

` training_model.summary()

Model: "model"

Layer (type) Output Shape Param #

input_1 (InputLayer) [(None, 224, 398, 3)] 0

sequential (Sequential) (None, 224, 398, 3) 0

model (Functional) (None, 2) 4228994

Total params: 4,228,994 Trainable params: 2,562 Non-trainable params: 4,226,432

` here the collapsed model is in the layer (model)

i create a submodel like so:

submodel = training_model.get_layer("model").get_layer("MobilenetV3large") (because of how i build the model, the actual model is nested as a collapsed model "MobilenetV3large" inside the "model" layer)

this gives the full model with the correct structure, but it is not shown in the webserver.

if that matters, the script outputs the following when the server is started:

::1 - - [2021-01-18 10:18:35] "GET /model HTTP/1.1" 200 106901 0.058173 ::1 - - [2021-01-18 10:18:35] "GET /inputs HTTP/1.1" 200 640 0.007560

I'm trying to install and run quiver to visualize a Keras model I've trained.

Running Windows 10 and Anaconda.

I installed quiver with git on a fresh conda environment

pip install git+git://github.com/keplr-io/quiver.git

When I tried to launch, I got the imsave error from #78

After fixing that, I got the following error:

AttributeError: module 'keras.backend' has no attribute 'image_dim_ordering'

After fixing that (replacing image_dim_ordering as noted in this issue in util.py) I'm getting the following:

Starting webserver from: D:\Anaconda3\envs\quiver_env\lib\site-packages\quiver_engine
Traceback (most recent call last):
  File "quiver.py", line 22, in <module>
    server.launch(model)
  File "D:\Anaconda3\envs\quiver_env\lib\site-packages\quiver_engine\server.py", line 157, in launch
    mean=mean, std=std
  File "D:\Anaconda3\envs\quiver_env\lib\site-packages\quiver_engine\server.py", line 47, in get_app
    single_input_shape, input_channels = get_input_config(model)
  File "D:\Anaconda3\envs\quiver_env\lib\site-packages\quiver_engine\util.py", line 43, in get_input_config
    model.get_input_shape_at(0)[1:3],
  File "D:\Anaconda3\envs\quiver_env\lib\site-packages\tensorflow\python\keras\engine\base_layer.py", line 2010, in get_input_shape_at
    'input shape')
  File "D:\Anaconda3\envs\quiver_env\lib\site-packages\tensorflow\python\keras\engine\base_layer.py", line 2603, in _get_node_attribute_at_index
    'and thus has no defined ' + attr_name + '.')
RuntimeError: The layer has never been called and thus has no defined input shape.

Here's my launch code:

model = keras.models.load_model('model.hdf5')
server.launch(model)

Is there a specific Tensorflow/Keras version I need to use or what am I doing wrong?

Bumps node-sass from 3.13.1 to 4.14.1.

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Bumps codecov from 1.0.1 to 3.7.1.

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Hi i just was curious if i can use this for multi label tabular data. Since my table has 1000 columns as input data and target has 19 columns, can anyone explain if Quiver works? I tried but got errors like:

IndexError: tuple index out of range

ImportError: cannot import name 'imsave'

ImportError Traceback (most recent call last) in ----> 1 from scipy.misc import imsave 2 from quiver_engine.server import launch 3 4 5 launch(model=model, input_folder='./img',port=7000)

ImportError: cannot import name 'imsave'