I filtered Microsoft COCO dataset by filter.py from here, which generate a filtered.JSON file, and I'm wondering is there a way to convert JSON to images(.jpg) ?
Actually I'm doing a Mask R-CNN project to perform instance segmentation, and don't really how to deal with the training data I filtered.
pip install fiftyone, and use this tool's App might be helpful.
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A general question. I have used i.e. Weka classifier model functionallity in their tool. But is there a way to "call Weka" and get a model in response from a website?
It is not important that it is Weka, but I want to implement some simple classification based on a json coming from a web-site.
Thanks.
You can write a REST webservice in Java which loads your model and makes predictions using data it receives, sending back the predictions in a suitable format. There are a number of frameworks for writing such webservices (e.g., JAX-RS).
In terms of using the Weka API, check out the Use Weka in your Java code article.
I'm working on a project that uses parallel methods to convert text from one form to another. We're going to implement a CSV to JSON converter to demonstrate the speedups that are possible using our parallel framework.
We want to benchmark our converter once it's finished. What are the fastest libraries/stand-alone programs/etc out there that are capable of doing CSV-JSON conversion? I found a list of potential candidates here:Large CSV to JSON/Object in Node.js, but I'm not sure how fast the listed options are. In the worst case I'll benchmark them myself, but if someone already knows what the "best in class" converters are it'd save me some time.
Looks like the maintainer of csvtojson has developed a benchmark application. I think I can add my csv to json converter to his benchmark project to test my converter.
if your project can consider in-browser apps, I suggest csvtojson as it is by far the speediest converter on the market as of 2017.
I created it myself so I may be a bit biaised, but I specifically developed it for a bigger project that required big csv to json crunching.
Tell me if it served.
I need to convert many files from .lwo format to .obj or .stl. I have too many to convert "by hand", meaning I don't want to use online tools or import/export the files one by one in Blender or similar.
So I'm trying to do so with a program that would load up each file, convert, then save a new stl . The files are numbered "file000001", "file000002", etc. to make importing easier.
Is there any program out there that will do this? If not, how would I go about accomplishing my goal?
As far as languages go, I am most effective with Processing/Java. I found this which might be similar but doesn't relate to LWOs.
Thanks for any help.
I just found assimp which has a command line tool to convert different file types. Thanks everyone who answered!
I'm sure you can find a few editors that import .lwo and export .obj
For example, Wings3D does that and free/opensource/lightweight.
Wings is scriptable using erlang.
Blender has LWO importer too, but it's not enabled by default. you need to go to Preferences > Addons and enable it there:
Blender has a Python API which should be easy to pickup.
This would allow you to write a script that does a batch conversion (reads a directory, traverses files, imports .lwo, transforms (scales/rotates if needed), exports .obj)
Perhaps if you search enough maybe there is a 3d file format batch converter already out there and .lwo/.obj are old enough formats so might be likely to be supported.
If you want to implement something from scratch, you need to look into each file format (e.g. lightwave object, obj ) to be able to parse and export.
Hopefully there's a java library that for you. I'd start with a 3D java game engine. For example here's a java .LWO importer found via JMonkey.
iam a beginner in hadoop,can any one help me in reading json in mapreduce job.
i have googled and found jaql is suitable for reading json.but i didnot find any documentaion on how it could be implemented in our map reduce job.
is there any other framework which supports reading json in map reduce?
any suggestions on this?
Thanks in Advance
I would rather trust the MapReduce framework itself to handle this. MapReduce allows us to write custom Inout/Output Formats to handle data which is not supported by it OOTB, like JSON. See this question for an example. I would prefer this as I won't require any third party stuff for this. It's just a matter of extending the MapReduce API(But it's just my choice. Other's may find something else more suitable).
But, the easiest way, IMHO, would be to use Hive or Pig to handle JSON data. You don't have to do much in order to make it work, as both these project have OOTB JSON support. See this for Hive-JSON SerDe and this for Pig's JsonLoader and JsonStorage.
HTH
make -d and make -p provide useful information, but I need this in JSON format, so I can enumerate what libraries came from which source files, recursively. Is there a way to do this already (approximately close, anyhow)? Or is there a custom tool available? I've scoured the Intarwebs, and my search has come up dry. Thank you for any help!
Note: I'm looking for something that's similar to sysconfig.parse_makefile. In fact, what that does is pretty close to what I'm looking for, except that it's only useful for the implicit Makefile that is used to build Python. Any pointers?
It's not JSON, but the Perl CPAN module Makefile::GraphViz creates visualizations of the dependency graph from a makefile. If JSON is really what you want, you could probably capture the 'dot' dependency file that is generated and convert it to JSON fairly easily.