AssertionError: train: No labels found in /content/dataset/test/labels.cache, can not start training
Automatically generated cache files
I'm doing yolo5
An error occurs during the configuration and training a dataset.
I understand that the command automatically creates a cache file under the train folder. I've confirmed that it's actually made
These errors appear. What's the problem? I ask for your help me.
An error occurs when only the dataset is different from the same code
Related
I am new to the Design Automation API, so please excuse and correct me if I am using the wrong terms. I am setting up the wiring for my very first Design Automation AppBundle, and I have almost all of it working. I followed the patterns in the "Delete Walls" tutorial.
I have a working add-in DLL that I can test locally and it runs under the "design.automation-csharp-revit.local.debug.tool".
I also have all of the Rest API connections setup, and I can successfully submit a WorkItem that will download a Revit file from a BIM 360, and start processing it in the sandbox of Design Automation. But I am getting an error during the execution on the sandbox where it seems it can't find my add-in file. Here is an excerpt from the WorkItem log:
[07/21/2020 18:02:26] Resolving location of Revit/RevitCoreEngine installation...
[07/21/2020 18:02:26] Running user application....
[07/21/2020 18:02:31] Cannot find the addin file:
[07/21/2020 18:02:31] Fail to deploy Addon DLL(s) in AppPackages.
[07/21/2020 18:02:31] RESULT: Failure
I have looked through "bundle" ZIP file many times looking for typos that could cause this, but I can't find anything, it looks identical to the "delete walls" example. So I'm wondering if there is somewhere else that I need to look. Or any other way I could debug this to find out were the connection is missing. I can only assume that the AppBundle and Activity items are setup correctly since I am getting this far and the error is not mentioning either of those items.
Any tips on where to look?
This turned out to be a misspelling of the [dot]bundle folder extension that triggered the issue.
I have been trying to open a large .csv file in Google Colab for several hours now and keep getting the error:
ParserError: Error tokenizing data. C error: Calling read(nbytes) on
source failed.
The code I'm using is:
path = "/content/drive/My Drive/data/big.csv"
#df_bonus = pd.read_csv(path, engine="python")
df_bonus = pd.read_csv(path)
Note: I've tried it without and without the engine="python" parameter. Using the engine="python" gives error
[Errno 5] Input/output error
which seems to be connected to hidden quotas.
In the past, I've gotten this error occasionally but after trying a few times, have been able to read the file. However, this time, it's failed maybe 30 time in a row.
I have tried with and without the engine="python", using no accelerator, using GPU and using TPU. I have also gotten the message once that I needed more RAM and accepted more RAM. However, I consistently am getting errors. Sometimes the error appears at once. Other times it appears after about five minutes.
Can anyone suggest a way to get this to open and why it's not opening now? Could it be that Google is just very busy? Or why the intermittence and why now am I not able to read the file at all?
Thanks for any suggestions.
I have a question about jmeter reports.
I run my test plan in non ui mode and get csv, and html dashboard in Jmeter.
The problem is in html dashboard that is not informative enough, when I finished the Jmeter run, I enter the csv, and I can see all the steps and all the thread groups and for each step to see if is pass or No, and the error message.
The html dashboard reports not informative, I can see the top 5 errors, but not in which thread group they happened, moreover I want to see all the error and to see exactly where it is failed. Is their a way to display the whole csv as html? since all the reports are for performance and not give data about functional. after the run still need to enter csv and filter success row to failure, and check for error and assertions.
Is their any solution to see in reports the full picture of errors?
** my purpose is that when entering the html report the manual QA can see exactly the errors and in which step and in which thread group, exactly like in the csv. and all of them, without grouping, just the full row data
Provided pic of csv and html dashboard
[][CSV each step get a line with results]
[][dashboard not understand which error occurred in which test and not get full error results]
This "Top 5 errors" is hard-coded so it isn't something you can easily configure. There is report-template folder under "bin" folder of your JMeter installation where default report template lives, you can amend FreeMarker configuration starting from here
An easier solution would be switching to JMeter Ant Task which contains very simplified test report in HTML format with verbose error information on each and every failure, it should be a good substitution for you as manual QAs normally don't need performance-related metrics and charts. See Five Ways To Launch a JMeter Test without Using the JMeter GUI article for more detailed explanation and example configuration.
I have developed a package to find the data that is truncated.
I have excel and csv files as sources. I have given redirect row on error and truncation in the source.The destination I have given as script component where I am updating the variable value. It is working fine in local development environment but not working in Server. I am getting the "The buffer type is not valid. Make sure the Pipeline layout and all components pass validation.
Error Code : 0xC0202020"
I tried the following ways:
1) In both 32 as well as 64 bit machine versions.
2) Replacing the script component with Row count transform.
3) Running the package as administrator.
4) Refreshing the connection managers and columns
None of them worked for me and facing the same issue. How to solve this issue.
I had not mapped the source output since i already had dumped the data in another package by setting the ignore failure property on truncation and error.
I had redirected only source error output. After mapping the source output to a dummy data flow task Union ALL my issue is resolved.
I'm facing a very incomprehensible error when loading files through a SSIS package.
This basically loop on files present in a folder and process them through a DTS 2000.
The job works fine for 99% of my files contained in the folder.
For one particular file, (it's got exactly the same naming syntax as the others) the package fails at the load DTS package's step.
Though if I executes the "Loop on Simucosc db files" content, it passes !! and load correctly all the data.
So it's really when running the whole package that the error appears.
I check with different check points the variables, no differences between a good one and a fail one.
When activating the log in the DTS task, it's only says :
Step Error Source: Microsoft JET Database Engine
Step Error Description:Erreur inattendue du pilote de base de données externe (9499).
Step Error code: 80004005
Step Error Help File:
Step Error Help Context ID:5003000
but that's no help for me.
Does anyone has any idea that can help?
Thanks in advance
The path that you are trying to link, import from, or export to has a total character length, including the database name, that is longer than 65 characters.