Quiverboard does not show the model
See original GitHub issueI can see the images I placed inside the folder, but on the left panel nothing in shown. I am using load_model from keras to use my own trained model (VGG16), saved as h5.
Also, there is an error in the browser’s console when the page opens:
TypeError: e.config.map is not a function
The browser says the error is in app.14b8092d6ea379715007.js line 44. I don’t know if there is a relation between both errors.
Does any of you know how to solve this?
Issue Analytics
- State:
- Created 5 years ago
- Comments:14
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Top GitHub Comments
Hi,
I had problems with pip installed version of quiver, so I installed from git. Its working fine and I have all the latest updates.
I pinpointed the problem. It’s because of my data format. Quiver requires input data to have (nrows, ncols, nchannels), however, my data uses (nchannels, nrows, ncols). The first format is called 'tf’ format and the second format is called ‘th’ format. My model uses ‘th’ format. Similarly, the conv and max pooling layers also use ‘th’ format.
Somehow quiver doesn’t handle layers which use ‘th’ format. I raised a new issue on this. Hope someone can help.
https://github.com/keplr-io/quiver/issues/74
Yeah the vgg16 one works. But mine doesn’t.
If you are building from source, please change the code in
quiverboard/src/ModelGraph/util.js
and then use the commandnpm deploy:prod
while inquiverboard
directory. Ignore any error with UglifyJs for now. The command will create a new .js file inquiverboard/dist
, and your code change will be picked up by the server.Not really relevant to the topic but I wonder if your Sequential model has problem with
inbound_nodes
. My browser shows this errorUncaught (in promise) TypeError: Cannot read properties of undefined (reading 'length')
for my VGG16 model because it has no propertyinbound_nodes
.