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streamlit-terran-timeline
Advanced tools
Creating face-recognition timelines on videos has never been so easy! Using the power of Terran we can easily build these timelines.
This Streamlit component requires the following packages for working properly:
# Install dependencies
pip install --upgrade streamlit terran youtube-dl
# Install the component
pip install streamlit-terran-timeline
You can generate a timeline from any kind of video using the generate_timeline
function and then using the terran_timeline
Streamlit component like this:
import streamlit as st
from streamlit_terran_timeline import generate_timeline, terran_timeline
# Generate the timeline information
timeline = generate_timeline("https://www.youtube.com/watch?v=dQw4w9WgXcQ")
#
# Display the timeline. If the users click, you'll get the exact second of
# the part of the timeline video. By default, it returns 0.
#
start_time = terran_timeline(timeline)
st.write(f"User clicked on second {start_time}")
You can also check out more examples in the examples folder.
_RELEASE
variable from streamlit_terran_timeline/__init__.py
to False
.streamlit_terran_timeline/frontend
by running npm install
and then npm run start
pip install -e .
streamlit run streamlit_terran_timeline/examples/youtube.py
Terran is human-perception library made by Pento 🚀
With Terran, making this demo was super easy! You can take a look at the generate_timeline
function to understand how Terran modules works with videos, face-recognition, and face-detection.
FAQs
Create faces timelines from videos
We found that streamlit-terran-timeline demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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