I was watching https://developer.apple.com/videos/play/wwdc2019/428/, where Transfer Learning is used for text classification in Create ML.
I wanted to do the same and created Datasets with the following structure:
Folders where the Name of the Folder is the Label / Answer to a Question.
Inside each folder there are 10 text files with Questions.
Pretty much the same Idea like in the Video.
When I now choose Transfer Learning (like in the Video) and start to train, the Window tells me "Model has no Data" (see Screenshot).
Error Screenshot
What I am doing wrong ?
By looking at your Error Screenshot, you are missing the test data.
Related
I want to segment pelvic in MRI from the SMIR dataset using the MONAILABEL plugin. I have read relatively a lot about this plugin. However, I can’t perform the segmentation well enough yet.
These are the steps I take to do so:
connecting the server using the anaconda prompt
enabling the plugin in Slicer and loading one image
labeling the pelvis manually using the paint button in the scribbles part and the updating
click “submit label”
and then repeating the process for some other images while the network is being trained.
After the training process, I actually could not see anything when opening the mask files.
I also encounter these two errors:
" AssertionError: Not a valid Label "
" TypeError: object of type ‘NoneType’ has no len() "
Is it the correct way of using MONAI or am I missing something?
Which aspects should I take into account before starting the process?
I would appreciate your help and suggestions.
Thank you
I've been following the Build your own image classifier using Transfer Learning tutorial found at this link.
At the end of the tutorial, it says you use your own data set, which I created by following the example in the tutorial. It successfully completed and created a folder ~/CNTK-Samples-2-3-1/Examples/Image/TransferLearning/Output, which is expected. Inside this output folder is predictions.txt, predOutput.txt, and TransferLearning.model.
My question is, how do I access TransferLearning.model? I'm not sure what to do with it and I can't find anything in the documentation allowing me to alter it or run it.
Once you successfully create your model, you can use it in Python environment (with CNTK) to classify your images. The code should look something like this:
#load the trained transfer learning model
trained_model = load_model(model_file)
#for every new image:
#get predictions for a single image
probs = eval_single_image(trained_model, img_file, image_width, image_height)
I want to make a network graph which shows the distribution of our documents in our folder structure.
I have the nodefile, edgefile and gephi graph file in this location:
https://1drv.ms/f/s!AuVfRBdVHkO7hgs5K9r9f7jBBAUH
What I do is:
Run the algorithm ForceAtlas2 with scaling 10-20, dissuade hub marked and prevent overlap marked, all other standard setting.
What I get is a graph with groups radial/spherical distributed. However, what I want is a tree directed network graph.
Anyone know how I can adjust Gephi to make this?
Thanks!
I just found a solution.
I tested the file format as shown on the Yed site "import excel file" page
http://yed.yworks.com/support/manual/import_excel.html
This gave me the Yed import dialog (took a life time to figure out that it's a pop up menu and not selectable through the standard menu)
Anyway, it worked and I've adjusted the test files with the data prepared for the Gehpi. This was pretty easy, I could used the source target ID's etc. Just copy paste.
I load it into Yed and used some directed and radial clustering algorithms on it. Works fine!
Below you can find the excel node/edge file used to import in Yed and the graph file you can open with Yed to see the final radial result.
https://1drv.ms/f/s!AuVfRBdVHkO7hg6DExK_eVkm5_mR
Only thing to figure out is how to combine the weight (which represents the number of documents) with the node size.
Unfortunately, as of version 0.9.0, Gephi no longer supports hierarchical graphs. Maybe try using a previous version?
Other alternatives involve more complex software, such as Graphviz, but you need a .dot file instead of your .csv. I looked all over, but could not find an easy-to-use csv to dot converter.
You could try looking at d3-hierarchy, a node.js program, but then again you need to use the not-so-user-friendly npm. If you look at the link, it looks like it can produce the kind of diagram you're looking for.
I am going through someone's data analysis files (created in an older version of matlab) and trying to find out what a particular .mat file is that was used in a matlab script.
I am trying to load a .mat file in matlab. I want to see what is in it.
When I type...
load ('file.mat')
the file loads and I see two variables appear in the workspace. jobhelp and jobs.
When I try to open jobs by typing the following in the matlab command window...
jobs
the response is..
jobs =
[1x1 struct]
Does this mean that there is only a 1 x 1 structure in the .mat file? If so, how in the world do I see what it is? I'm even happy to load it in unix, but I don't know how to do that either. Any help would be greatly appreciated as I have a few files like this that I can't get any information from.
Again, a new user, so please make it simple.
Thanks
It means that jobs is a cell array {} and within this cell array is a structure defined
To see the structure and its contents type jobs{1}
I think you are dealing with a SPM5 Batch-File. This variable is an image of the tree-like structure you can see in the Batch-Editor of SPM. Your job consists of one subitem (stats) which could have various subsubitems (like fMRI model specification, model estimation and so on).
To access this structure on the command line just proceed like Nick said:
Each level is a separate cell array that you can access with {#} after the name of the level. Example: jobs{1} shows you that there is a subitem named stats.
Subitems in structs are accessed with a dot. Example: jobes{1}.stats{1} shows you the subitems of the stats-entry.
Notice that there could be more than one entry on each layer: A stats module could (and probably would) contain various subitems. You can access them via jobs{1}.stat{2}, jobs{1}.stats{3} and so on.
The last layer would be the interesting one for you: The structures in here is an image of the options you can choose in the batch-editor.
I want to create a rotating object with 3d effect , I am using the sample project iPhoneGLEssentials provided by developer.apple.com. In the sample project demon.model file is used , I need to create my own .model file. Can any one help me how to create the required .model file?
You can see from the source for that demo that's not a common format. It just has the arrays for positions, normals, texcoords and element indices. You can see how it is read from the .model file in the moduleUtil.h. You can search online for libraries that can load specific formats for models. Engines like irrlicht has support for many formats such as .3ds, and .x. You can start from checking there.