I have created, trained and saved a tensorflow model using python (yaml file)
Now I want to load and use it in java (eclipse).
haw can I do it?
I quote from here. The SavedModel format encodes all model information in a directory, not a file. So you want to provide the directory containing the saved_model.pb file to SavedModelBundle.load(), and not the file itself. For more information go to the github page.
Related
How can I calibrate an A2L file generated by the xcplite opensource project using ETAS INCA?
xcplite is a lightweight implementation of the ASAM XCP Protocol Layer V1.4, it generates A2L file, I am trying to load that A2L file in INCA.
But when I try to load it in INCA, it is asking for a .hex file which I don't have. Is it possible to calibrate the A2L file without a .hex file or is it necessary to have one for the ECU in INCA?
I have attempted to generate a .hex file for the project itself, however it is not successful. I am unsure if this is the correct approach to take.
I am new to this process, any help would be appreciated.
I used apache-jena-3.1.0 and JDBC to read and save XML files on a table (nodes, prefixes, quads, and trips) that was pre-made in MariaDB.
I wonder if I can make an XML file by reading MariaDB using Apache-jena.
And I wonder if I can save the stored data (nodes, prefixes, and triples) back to MariaDB in its original form (appropriate for RDB).
I am constantly trying to search for related jar or mathod.
Thank you.
I'm mobile developer. And I want to use various Tensorflow Lite models(.tflite) with MLKit.
But there are some issues, I have no idea of how to know .tflite model's input/output feature info(these will be parameters for setup).
Is there any way to know that?
Sorry for bad English and thanks.
Update(18.06.13.):
I found this site https://lutzroeder.github.io/Netron/.
This visualize graph based on your uploaded model(like .mlmode or .tflite etc.) and find input/output form.
Here is example screenshot!
https://lutzroeder.github.io/Netron example
If you already have a tflite model that you did not produce yourself, and you
want to look inside the tflite file and understand your inputs and outputs, you can use flatc tool and convert
the model to .json file and read that.
First clone the flatbuffers repo and build flatc.
git clone https://github.com/google/flatbuffers.git
Then you have to have the tensorflow schema.fbs stored locally. Either checkout the tensorflow github or download
that one file.
Then you can run flatc to generate the json file from then input tflite model.
flatc -t schema.fbs -- input_model.tflite
This will create a input_model.json file that can be easily read.
Adding to the above answer:
See these instructions for building:
https://google.github.io/flatbuffers/md__building.html
If you already have a tflite model that you did not produce yourself,
and you want to look inside the tflite file and understand your inputs
and outputs, you can use flatc tool and convert the model to .json
file and read that.
First clone the flatbuffers repo and build flatc.
git clone https://github.com/google/flatbuffers.git
Then you have to have the tensorflow schema.fbs stored locally. Either checkout the
tensorflow github or download that one file. Then you can run flatc to
generate the json file from then input tflite model.
flatc -t schema.fbs -- input_model.tflite
This will create a input_model.json file that can be easily read.
I am working on a application that allows users upload and edit CSV files containing process activity logs.
I am not storing the data in the database.
So far the user can download the data as a new .csv file.
Now I want to convert that data into a XES file (this a special XML format used mainly for process mining in tools such as ProM framework).
I couldn't find any hint on how to do that.
I wonder if there's a rails gem or something.
Thanks in advance
ps.: here is the project code.
A simple method would be imported in Disco and by using this tool, exported in XES format ( I always use this method).
If you don't access to Disco another solution would be used ProM software. There is a plugin for this platform for converting CSV file to XES format ( developed by F. Mannhardt).
I am new to flume-NG. I want my source to send some unique xml files to the channel one by one. The channel will validate the xml files and send the validity(either true or false) and the xml file to th custom sink. This sink will write the valid files and invalid files to different directories in HDFS. I am not sure which source to use. Please help.
None of the current ones will fit your use case. The SpoolingDirectorySource is line-oriented so XML files will confuse it and not arrive in one piece.
I suggest you write a custom source for your application.