I read documentation about Camunda BPMN Model API here.
But there is no documentation for drawing start event, end event, task shapes and arrows programatically using that library.
You can create all the BPMN shapes by your own. The Model API has currently no feature to auto generate DI element. For example see this test how to create DI elements with the Model API.
Related
I have used Google Book API, gTTs, googletrans, and PyPDF4 in my Django Project. I am trying to draw a Data Flow Diagram of my project. I am confused about the diagram should I draw like
My problem is that I want to know, It is valid to do as I have done in the image. Can I use API and module as a data store in Data Flow Diagram?
please help me to figure it out
So I have been collecting data of numerous text-descriptions about articles, where as each description was structred differently. Now, I would have to "create" an algorithm, which sorts out the title of that article for me what is a hard task. I have come around Google ML natural language and it seems to be able to create one for me.
Unfortunately, I am not really able to exactly find out how I can use it,
so my question is... How precisely can I set it up ? And additionally, it would be helpful to know if firebase has such a service, since I am planning to build a firebase project.
Thanks in advance for any help !
Unfortunately models created using Google AutoML Natural Language are not exportable to Tensorflow lite (mobile models). Based from your use case you will need a model for text classification, the provided link has a sample of how this model work. You can follow this tutorial to train a custom model using the data that you have so it can identify if a title of a article is a hard task or not.
Once training is done you can now:
Deploy it in Firebase
Download the model in your device and perform testing.
You can find detailed instructions from training the model to testing it on your device for either iOS or android.
I'm using AutoML Video Intelligence and it's very tedious and I was wondering if there was an easier way to create Datasets for the object tracking. An easy way to get the time and position of the box?
I'm pretty sure that you can find the answers on the mentioned questions reading GCP knowledge base documentation in particular about AutoML Video Intelligence product.
At least Object tracking process is nicely explained in terms of implementation with either GCP console UI or constructing HTTP calls to Cloud REST AutoML API.
Furthermore, you can find example tutoring the way how to handle video segments positioning for the relevant prediction requests.
You can adjust initial question, extending it with a certain details about your use case in order to preciously address the solution.
I am new to Azure Cognitive services. I want to detect multiple objects in a single image. Is it possible with custom vision api.
Any help is appreciated. Thank you.
You should be able to with the Object Detection part of Custom Vision. Simply give it images of multiples to train on and it should start detecting both items.
For example, I was playing with it a while ago to see if it could detect red and white wines. After sending a few images with both to train on I started getting results like the below.
Unity has a WebcamTexture API that grants users easy access to the camera frames. However, it has no controls for exposure, focus, brightness values.
I want to create a custom camera API let's say in C++ for a Unity (running on .NET3.5), what are some first steps I should take or look into? I do not want to use any existing assets, nor I want to use UWP which requires .NET4.5.