Use my model in a webpage
GialiBoM opened this issue · comments
I have created an object recognition model, using Colab where I can load an image from my drive and the model recognizes the object from my object
I saved the model in .json with its related .bin sheets
But I also have the same model saved in .py .ipynb .h5
I would like to apply this acknowledgment template on my website, in JS
I've been trying to find out online for days, or reading this link
https://www.tensorflow.org/js/tutorials/conversion/import_keras
I also tried the code shown here
but I still can't find a solution
@GialiBoM could you please clarify your problem?
@GialiBoM could you please clarify your problem?
I am also having the issue, unable to load my .json model using tf.loadModel("path to model")
It is showing this error "tf.loadModel" is not function
I have also tried tf.loadLayersModel, but having same error
How to load keras based model in js?
@preyash2047 thanks for your report.
How to load keras based model in js?
Here is a good example where you can find how to import your model. Could you please run it locally and confirm that loadLayersModel
works for you in this example. Here is a place where we load a model.
It is showing this error "tf.loadModel" is not function
Could you confirm please that you imported TensorFlow correct?
Could you also share a .json
file or an example of code that run tf.loadLayersModel
?
Thanks.
@hodovani Sorry if I answer just now
I leave you my exact question, with reference code here
https://stackoverflow.com/questions/63703062/load-object-recognition-model-created-in-colab-in-a-javascript-web-page
Hey @GialiBoM ,
I have done a project on handwritten text recognition and implemented using tensorflow.js, and I have implemented this on 25th Sep 2020, so everything will work for you also
check out my project which is live at https://preyash2047.github.io/textdetection.html
Repo: https://github.com/preyash2047/preyash2047.github.io/blob/master/textdetection.html
Note: use console to know the status of model downloading and background process