hackathon-starter | Templates and docs for the battlecode hackathon | Data Labeling library
kandi X-RAY | hackathon-starter Summary
kandi X-RAY | hackathon-starter Summary
Welcome to the battlecode hackathon!.
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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?
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Install hackathon-starter
Download a copy of this repository here or fork / clone it.
Install a recent version of node.js (> 8). If you already have Node installed, you can check which version you have with node --version in your terminal.
Open a terminal / command prompt.
Run npm install -g @battlecode/battlehack. If you're on linux, you might need sudo.
Run battlehack start and leave that terminal running. Make sure that http://localhost:8080/ has opened in your browser.
Open a new terminal; cd into the hackathon-starter/python directory and run python player.py.
Open a third and last terminal; cd into the hackathon-starter/python directory and run python player.py again.
You should now be able to watch a game run in your browser.
Open player.py and start hacking!
Note: you should ignore run.sh for now.
Download a copy of this repository here or fork / clone it.
Install a recent version of node.js (> 8). If you already have Node installed, you can check which version you have with node --version in your terminal.
Open a terminal / command prompt.
Run npm install -g @battlecode/battlehack. If you're on linux, you might need sudo.
Run battlehack start and leave that terminal running. Make sure that http://localhost:8080/ has opened in your browser.
Create a Java project wherever you'd like. Import java/battlehack17.jar into your project.
Copy RobotPlayer.java to get yourself started. You'll need a main function, with a game loop.
To run, use your IDE. Make sure you run your program twice so that the two copies can fight each other.
You should now be able to watch a game run in your browser.
Open RobotPlayer.java and start hacking!
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