Develop Reference

Updating to the latest Yocto version sanity.bbclass issues

I have taken over a project which was using Yocto Fido version from 2015. I need to update this to the latest stable version Thud.
I have cloned the Poky-Thud repository and cloned the latest layers which are required by our customized layer such as meta-openembedded etc. and added our customized layer back to it.
Now, I wasn't expecting this to build straight away without issues by any means, but the below errors I'm getting with the new layers, I just don't understand. There are more errors like this relating to not enough values, but posted below is one.
There is an interface issue in meta/classes/sanity.bbclass. I can't just revert to the older version of meta to solve this, nor I don't think it makes sense to modify the code myself? Any ideas why this is and how to solve it?
ERROR: Execution of event handler 'config_reparse_eventhandler' failed
Traceback (most recent call last):
File "/home/ubuntu/new-repo/poky-thud/build-
bbgw/../meta/classes/sanity.bbclass", line 971, in
config_reparse_eventhandler(e=<bb.event.ConfigParsed object at
0x7ff4103bf3c8>):
python config_reparse_eventhandler() {
> sanity_check_conffiles(e.data)
}
File "/home/ubuntu/new-repo/poky-thud/build-
bbgw/../meta/classes/sanity.bbclass", line 572, in sanity_check_conffiles(d=
<bb.data_smart.DataSmart object at 0x7ff4108d35c0>):
for func in funcs:
> conffile, current_version, required_version, func =
func.split(":")
if check_conf_exists(conffile, d) and d.getVar(current_version)
is not None and \
ValueError: not enough values to unpack (expected 4, got 1)

Azure ML Studio: How to change input value with Python before it goes through data process

I am currently attempting to change the value of input as it goes through data process in Azure ML. However, I cannot find a clue about how to access to the input data with python.
For example, if you were to use python, you can access to the column of data with
print(dataframe1["Hello World"])
I tried to change the name of Web Service Input and tried to do it like how I did for other dataframe (e.g. sample)
print(dataframe["sample"])
But it returns an error with no luck, and from what I read from an error, it's not compatible to dataframe:
object of type 'NoneType' has no len()
I tried to look up a solution with Nonetype error, but there is no good solution.
The whole error message:
requestId = 1f0f621f1d8841baa7862d5c05154942 errorComponent=Module. taskStatusCode=400. {"Exception":{"ErrorId":"FailedToEvaluateScript","ErrorCode":"0085","ExceptionType":"ModuleException","Message":"Error 0085: The following error occurred during script evaluation, please view the output log for more information:\r\n---------- Start of error message from Python interpreter ----------\r\nCaught exception while executing function: Traceback (most recent call last):\r\n File \"C:\\server\\invokepy.py\", line 211, in batch\r\n xdrutils.XDRUtils.DataFrameToRFile(outlist[i], outfiles[i], True)\r\n File \"C:\\server\\XDRReader\\xdrutils.py\", line 51, in DataFrameToRFile\r\n attributes = XDRBridge.DataFrameToRObject(dataframe)\r\n File \"C:\\server\\XDRReader\\xdrbridge.py\", line 40, in DataFrameToRObject\r\n if (len(dataframe) == 1 and type(dataframe[0]) is pd.DataFrame):\r\nTypeError: object of type 'NoneType' has no len()\r\nProcess returned with non-zero exit code 1\r\n\r\n---------- End of error message from Python interpreter ----------"}}Error: Error 0085: The following error occurred during script evaluation, please view the output log for more information:---------- Start of error message from Python interpreter ----------Caught exception while executing function: Traceback (most recent call last): File "C:\server\invokepy.py", line 211, in batch xdrutils.XDRUtils.DataFrameToRFile(outlist[i], outfiles[i], True) File "C:\server\XDRReader\xdrutils.py", line 51, in DataFrameToRFile attributes = XDRBridge.DataFrameToRObject(dataframe) File "C:\server\XDRReader\xdrbridge.py", line 40, in DataFrameToRObject if (len(dataframe) == 1 and type(dataframe[0]) is pd.DataFrame):TypeError: object of type 'NoneType' has no len()Process returned with non-zero exit code 1---------- End of error message from Python interpreter ---------- Process exited with error code -2
I have also tried to a way to pass python script in data, but it is not able to make any change to Web Service Input value as I want it to be.
I have tried to look on forums like msdn or SO, but it's been difficult to find any information about it. Please let me know if you need any more information if needed. I would greatly appreciate your help!

tl;dr; You need to also link the dataset you used for training to the same port you link the Web service input, so that the Execute Python Script has something to work on - see the image below for how this should look.
You need to keep in mind that the Predictive experiment has some conventions that need to be followed (or learned the hard way :) ). One of them is that in order to use the Web service input, you need to pair it with an actual dataset, which Azure ML Studio can then use to infer structure and to provide you with some data while testing your predictive experiment. You can see it as some sort of 'ghost' module that doesn't do anything by itself.
Hope this helps.

OpenCV Error: Bad argument in ERClassifierNM1

I run opencv 3.2.0, ubuntu 14.04, and latest opencv_contrib.
I run examine:
https://github.com/opencv/opencv_contrib/blob/master/modules/text/samples/textdetection.py
But it have show err:
$ python textdetection.py scenetext_word01.jpg
textdetection.py
A demo script of the Extremal Region Filter algorithm described in:
Neumann L., Matas J.: Real-Time Scene Text Localization and Recognition, CVPR 2012
Extracting Class Specific Extremal Regions from 9 channels ...
(...) this may take a while (...)
OpenCV Error: Bad argument (Default classifier file not found!) in ERClassifierNM1, file /home/vietnam/opencv_and_contri/opencv_contrib/modules/text/src/erfilter.cpp, line 1022
Traceback (most recent call last):
File "textdetection.py", line 38, in <module>
erc1 = cv2.text.loadClassifierNM1(pathname+'/trained_classifierNM1.xml')
cv2.error: /home/vietnam/opencv_and_contri/opencv_contrib/modules/text/src/erfilter.cpp:1022: error: (-5) Default classifier file not found! in function ERClassifierNM1
How to solve this?

Try using relative paths in the parameters for cv2.text.loadClassifierNM1() and cv2.text.loadClassifierNM2()
So now that part of the code looks like this:
erc1 = cv2.text.loadClassifierNM1('./trained_classifierNM1.xml')
er1 = cv2.text.createERFilterNM1(erc1,16,0.00015,0.13,0.2,True,0.1)
erc2 = cv2.text.loadClassifierNM2('./trained_classifierNM2.xml')
er2 = cv2.text.createERFilterNM2(erc2,0.5)
I'm not sure why this works (it did for me), but I tried this after looking at a solution posted for a similar problem in VS2015 here: https://github.com/cesardelgadof/OpenCVBinaries/issues/1
Hope this helps.

Trying with absolute path e.g. "/usr/lib/opencv-3.2.0/opencv_contrib-3.2.0/modules/text/samples/trained_classifierNM1.xml" worked in my case for Ubuntu 16.04, C++

Error using cv.CreateHist in Python OpenCV as well as strange absence of certain cv attributes

I am getting an error (see below) when trying to use cv.CreateHist in Python. I
am also noticing another alarming problem. If I spit out all of the attributes
of the cv module into a file, and then I search them, I find that a ton of
common things are missing.
For example, cv.TermCriteria() is not there; cv.ConnectedComp is not there; and
cv.CvRect is not there.
Everything about my installation, with Open CV 2.2, worked just fine. I can plot
images, make CvScalars, and call plenty of the functions, like cv.CamShift...
but there are a dozen or so of these hit-or-miss functions or data structures
that are simply missing with no explanation.
Here's my code for cv.CreateHist:
import cv
q = cv.CreateHist([1],1,cv.CV_HIST_ARRAY)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: x9y��
The weird wingding stuff is actually what it spits out at the command line, not a copy-paste error. Can anyone help figure this out? It's incredibly puzzling.
Ely

As for CvRect, see the documentation. It says such types are represented as Pythonic tuples.
As for your call to CreateHist, you may be passing the arguments in wrong order. See createhist in the docs for python opencv.

Propagating Clips Error Messages in PyClips

I'm finding it very difficult to develop with PyClips, because it appears to replace useful error messages thrown by Clips with a generic "syntax error" message. This makes debugging very laborious and practically impossible on large codebases when using PyClips.
Consider the following example. I wrote a very large expression, which contained the multiplication operator, but I mistakenly forgot to add the second argument. Instead of simply telling I was missing an argument, PyClips told me there was a syntax error. What should have taken me 1 second to correct, took me 5 minutes to correct as I hunted through my large expression, looking for the mistake.
Here's a condensed version:
In Clips, with a useful error message:
clips
CLIPS> (defrule myrule "" (myfact 123) => (bind ?prob (* (min 1 2))))
[ARGACCES4] Function * expected at least 2 argument(s)
ERROR:
(defrule MAIN::myrule ""
(myfact 123)
=>
(bind ?prob (* (min 1 2))
And in PyClips, with an unuseful error message:
python
>>> import clips
>>> clips.BuildRule('myrule','(myfact 123)','(bind ?prob (* (min 1 2)))','')
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/local/lib/python2.6/dist-packages/clips/_clips_wrap.py", line 2839, in BuildRule
_c.build(construct)
_clips.ClipsError: C08: syntax error, or unable to parse expression
How can I get PyClips to give me the real error thrown by Clips?

Catch the ClipsError, then read ErrorStream for the details. For example:
engine = clips.Environment()
engine.Reset()
engine.Clear()
try:
engine.Load(os.path.abspath(rule_file))
except clips.ClipsError:
logging.error(clips.ErrorStream.Read())