annotator | Annotation tools for the web Select text, images, or (nearly) anything else, and add your notes | Data Labeling library
kandi X-RAY | annotator Summary
kandi X-RAY | annotator Summary
Annotation tools for the web. Select text, images, or (nearly) anything else, and add your notes.
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Top functions reviewed by kandi - BETA
- Main entry point .
- Adds permission - checkbox handler
- Start the application
- Shows a banner .
- Injects the dynamic style into the dynamic element .
- Trim a mouse move event .
- Higher order function to create a load callback function for a user
- Generates a function that can be used for submission .
- Highlights a range
- Parses a list of links
annotator Key Features
annotator Examples and Code Snippets
Community Discussions
Trending Discussions on annotator
QUESTION
I have this code to iterate through a json file. The user specifies tiers to be extracted, the names of which are then saved in inputLabels, and this for loop extracts the data from those tiers:
...ANSWER
Answered 2022-Mar-26 at 21:00A pretty pythonic approach would be using exceptions:
QUESTION
I am using the google vision api on python to get text on images, the api returns this json text:
...ANSWER
Answered 2022-Mar-26 at 16:31JSON filed in python are similarly interpreted as dictionaries and you can get the value of 'description' in the similar manner. Here's what you have to do:
QUESTION
i'm trying to use google vision to detect text from a batch of 15 documents at once, i want it to be don't Asynchronously.
unfortunately the time it takes for client.async_batch_annotate_images() function, is the same as client.batch_annotate_images() function, which is the same time it takes if i iterate over the list of features with client.document_text_detection()
i am not sure why the response takes so much time, and maybe i am doing something wrong, i would love to get your expert opinion on this.
for example, that is how i extract the text using batch annotate images
...ANSWER
Answered 2022-Feb-23 at 06:35Speed is expected to be the same as the speed configuration is on the back-end of Google. There’s no option to speed up on user/developer's end. The only difference between asynchronous and synchronous is you can do requests even offline when you are using asynchronous and you can specify larger batches of files compared to using synchronous. To read more about batch image annotation you may refer to this GCP Documentation.
QUESTION
I have 3 tables. User Accounts, IncomingSentences and AnnotatedSentences. Annotators annotate the incoming sentences and tag an intent to it. Then, admin reviews those taggings and makes the corrections on the tagged intent.
DB-Fiddle Playground link: https://dbfiddle.uk/?rdbms=postgres_14&fiddle=00a770173fa0568cce2c482643de1d79
Assuming myself as the admin, I want to pull the error report per annotator.
My tables are as follows:
User Accounts table:
userId userEmail userRole 1 user1@gmail.com editor 2 user2@gmail.com editor 3 user3@gmail.com editor 4 user4@gmail.com admin 5 user5@gmail.com adminIncoming Sentences Table
sentenceId sentence createdAt 1 sentence1 2021-01-01 2 sentence2 2021-01-01 3 sentence3 2021-01-02 4 sentence4 2021-01-02 5 sentence5 2021-01-03 6 sentence6 2021-01-03 7 sentence7 2021-02-01 8 sentence8 2021-02-01 9 sentence9 2021-02-02 10 sentence10 2021-02-02 11 sentence11 2021-02-03 12 sentence12 2021-02-03Annotated Sentences Table
id annotatorId sentenceId annotatedIntent 1 1 1 intent1 2 4 1 intent2 3 2 2 intent4 4 3 4 intent4 5 1 5 intent2 6 3 3 intent3 7 5 3 intent2 8 1 6 intent4 9 4 6 intent1 10 1 7 intent1 11 4 7 intent3 12 3 9 intent3 13 2 10 intent3 14 5 10 intent1Expected Output:
I want an output as a table which provides the info about total-sentences-annotated-per-each editor and the total-sentences-corrected-by-admin on top of editor annotated sentences. I don't want to view the admin-tagged-count in the same table. If it comes also, total-admin-corrected should return 0.
...ANSWER
Answered 2022-Feb-15 at 15:50Because sentence_id might be reviewed by different users (role), you can try to use subquery (INNER JOIN between user_accounts & annotated_sentences) with window function + condition aggregate function, getting count by your logic.
if you don't want to see admin count information you can use where filter rows.
QUESTION
I am attempting to run a script which calls another python file (copied along with its entire github repo), but I am getting a ModuleNotFoundError:
This is despite putting the files into the correct directories.
How I run it
- Activate my python3.9 virtual environment
(newpy39) aevas@aevas-Precision-7560:~/Desktop/Dashboard_2021_12$ python3 dashboard.pywhere aevas is my username, and ~/Desktop/Dashboard_2021_12 is the folder
No additional arguments required to run it.
Imports for dashboard.py
...ANSWER
Answered 2022-Feb-16 at 00:10The problem is that the models module lives in the /home/aevas/Desktop/Dashboard_2021_12/targetTrack/yolov5 folder, but when you run dashboard.py from /home/aevas/Desktop/Dashboard_2021_12/, the Python interpreter does not look inside the /home/aevas/Desktop/Dashboard_2021_12/targetTrack/yolov5 folder to find modules; it only looks as far as files/folders in /home/aevas/Desktop/Dashboard_2021_12/.
The usual way to fix this would be by installing yolov5 as a package, but it does not appear that yolov5 contains the code necessary to be installed in such a way. To work around this, you need to let Python know that it needs to look inside the yolov5 folder to find the module.
The quick-and-dirty way of doing this is to add the folder to the PYTHONPATH environment variable.
A slightly less quick-and-dirty, but still pretty ugly way of doing it is by dynamically adding the yolov5 folder to sys.path before you try and import the models module. You would do this by adding something like the following to the top of dashboard.py:
QUESTION
Goal: Given a seaborn catplot (kind="bar") with multiple rows, grouped bars, and a mapped stripplot, how do I add statistical annotations (p-values).
The following code from @Trenton McKinney generates my figure without statistical annotation. I would like to insert statistical annotation into this figure:
...ANSWER
Answered 2022-Feb-06 at 15:55I think you can just iterate over the axes in the FacetGrid and apply the Annotator element wise.
Here is a short example with your provided code:
QUESTION
I have this class called User, which has an ImageField attribute, which stores the user's avatar/profile picture. I'm trying to annotate a Post query set so that just the user's avatar url gets returned with the post none of the other data. I've tried 2 different ways to annotate the query, but get errors as you can see below when I ping the views to get posts. How do I attach user avatar url with the return annotated Post query set?
models.py
ANSWER
Answered 2021-Dec-14 at 04:22You should use this instead.
QUESTION
I'm trying to train Detectron2 on a custom dataset that I annotated with coco-annotator. After training I wanted to predict Instances of my Image, but I dont get any shown.
Training:
...ANSWER
Answered 2021-Dec-01 at 12:07I would try to lower the threshold, since you have said that overall training scores were not great.
In this answer in official repo, following code is suggested to change the threshold:
QUESTION
I am trying to run "onto_electra_base_uncased" model on some data stored in hive table, I ran count() on df before saving the data into hive table and got this exception.
Spark Shell launch configurations:
...ANSWER
Answered 2021-Nov-18 at 09:23The solution to this issue is use kryo serialization, the default spark-shell or spark-submit invocation is using java serialization, the Annotate class in spark-nlp is implemented to use Kryo Serialization hence same should be used for running any spark-nlp jobs
QUESTION
I am creating an ImageAnnotator for a native iOS mobile app using Firebase Cloud Functions, following the Firebase documentation for the iOS client and Cloud Function. Yet upon calling 'annotateImage' client-side the error 'Unexpected token o in JSON at position 1' is returned. I am using XCode 13.
My client code:
...ANSWER
Answered 2021-Oct-20 at 15:05I was able to resolve the error by using the solution suggested here:
- Change the 'features' dictionary value of requestData to an array.
- Pass requestData as encoded string JSON to annotateImage().
But still the line
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