CatalogScanner
streamlit-webrtc
CatalogScanner | streamlit-webrtc | |
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5 | 4 | |
122 | 1,193 | |
- | - | |
6.9 | 8.9 | |
about 1 month ago | 4 days ago | |
Python | Python | |
MIT License | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
CatalogScanner
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is there any way to know if you have all the diy recipes like the animation when you catch all the fish .p.
If you have a Twitter account or don’t mind making a throwaway one, use the CatalogScanner bot. It will give you a list of what you have as well as what DIY recipes you are missing.
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ACNH Guide app - is it all manual?
That app comes with compatibility with a catalogue scanner here. Still a little manual and youll need a twitter profile, but it really makes it easier.
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How do I know if I’ve collected absolutely every single DIY recipe?
I use @ CatalogScanner on twitter, visit https://nook.lol/
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Is there an easy way to see my catalog online?
There is a way to do it with ACNH.Guide. Click on “Catalog Scanner” from the top right menu. The instructions are at http://nook.lol
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How difficult would it be to figure how to write a script to extract data from an android app if I know general programming but have no experience with programming mobile apps in particular?
There's an example of this for Animal Crossing scanning: https://twitter.com/catalogscanner?lang=en and the code is on https://github.com/EhsanKia/CatalogScanner
streamlit-webrtc
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Streamlit dashboard with ROS2
I tried looking at using streamlit-webrtc, and I could not really convert the examples there to include communication with ROS over a topic.
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Recording and playing audio files through streamlit
Of those 4, streamlit-webrtc is the most popular, so I would start there (forum post about webrtc is here and here is a demo app)
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Build a Web-Based Real-Time Computer Vision App with Streamlit
Streamlit is a great framework for data scientists, machine learning researchers and developers, and streamlit-webrtc extends it to be able to deal with real-time video (and audio) streams. It means you can implement your computer vision algorithms only in Python on server-side and users can use them as web apps with real-time video inputs from their webcams or smartphones.
What are some alternatives?
fiftyone - The open-source tool for building high-quality datasets and computer vision models
ssl-proxy - :lock: Simple zero-config SSL reverse proxy with real autogenerated certificates (LetsEncrypt, self-signed, provided)
rclip - AI-Powered Command-Line Photo Search Tool
streamlit-webrtc-example - Real time video and audio processing examples with Streamlit and streamlit-webrtc
datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
moviepy - Video editing with Python
vidgear - A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire:
streamlit-audio-recorder - Record Audio from the User's Microphone in Apps that are Deployed to the Web. (via Browser Media-API, REACT-based, Streamlit Custom Component)
Ringfingers_Roster - Extract other players' names from your Dark Souls 3 gameplay videos
audio-recorder-streamlit
streamlit-audiorecorder - Audio recorder for streamlit
raviewer - Raw image/video data analyzer