loopr-python-sdk | complete Data Labeling Solution for Model Training | Data Labeling library
kandi X-RAY | loopr-python-sdk Summary
kandi X-RAY | loopr-python-sdk Summary
Loopr is a complete Data Labeling Solution for Model Training, Data Augmentation and Quality Control. Visit for more information.
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Top functions reviewed by kandi - BETA
- Adds a row to the dataset
- Encode a dictionary of values
- Make a HTTP POST request
- The URL for the dataset row add
- Set field values
- Generate all the attributes of the given type
- Return a unique id for the entity type
- Iterate over the fields of the class
- Return a function that parses the input_function
- Make GET request
- Delete this dataset
- The URL for the dataset delete
- Delete the project
- Return the project delete url
loopr-python-sdk Key Features
loopr-python-sdk Examples and Code Snippets
Community Discussions
Trending Discussions on Data Labeling
QUESTION
I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.
What I've done so far is make this representation with the same enumerator class.
A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?
...ANSWER
Answered 2021-Dec-30 at 13:57Instead of using Enum
you can use a dict
mapping. You can avoid loops if you flatten your dataframe:
QUESTION
I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.
In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space
i have this:
...ANSWER
Answered 2020-Nov-16 at 07:24Try something like:
QUESTION
Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.
Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.
Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.
...ANSWER
Answered 2020-Oct-27 at 22:39Is the data behind virtual network by any chance?
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install loopr-python-sdk
Set your API Key as an environment variable. export LOOPR_API_KEY = "<your api key>" or you can pass the key while initializing the client. loopr_client = LooprClient(api_key="<your api key>")
You can set a custom endpoint as well. export LOOPR_API_ENDPOINT = "<your endpoint>" or you can pass the endpoint while initializing the client. loopr_client = LooprClient(api_key="<your api key>", endpoint="<your endpoint>")
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