NBA Highlights Video Generator
Videos
Posted on NBA Full Play Highlights.
Author
Ronen Huang
Time Frame
August 2025 to Present
FFmpeg Build
Download from https://www.gyan.dev/ffmpeg/builds/.
Ollama Build
Download from https://ollama.com/download and pull one time.
ollama pull lfm2.5-thinking:1.2b
NBA Team Abbreviations
- atl - Atlanta Hawks
- bkn - Brooklyn Nets
- bos - Boston Celtics
- cha - Charlotte Hornets
- chi - Chicago Bulls
- cle - Cleveland Cavaliers
- dal - Dallas Mavericks
- den - Denver Nuggets
- det - Detroit Pistons
- gsw - Golden State Warriors
- hou - Houston Rockets
- ind - Indiana Pacers
- lac - Los Angeles Clippers
- lal - Los Angeles Lakers
- mem - Memphis Grizzlies
- mia - Miami Heat
- mil - Milwaukee Bucks
- min - Minnesota Timberwolves
- nop - New Orleans Pelicans
- nyk - New York Knicks
- okc - Oklahoma City Thunder
- orl - Orlando Magic
- phi - Philadelphia 76ers
- phx - Phoenix Suns
- por - Portland Trail Blazers
- sac - Sacramento Kings
- sas - San Antonio Spurs
- tor - Toronto Raptors
- uta - Utah Jazz
- was - Washington Wizards
Manually Make Videos
The full play videos can be made from the reliable play by play rather than the unreliable box score.
from nba_video_generator.beta_search import pipeline
pipeline(
[
("DiVincenzo", "2026-04-20", "min"),
],
{
"ffmpeg_path": r"C:\Users\ronen\Documents\Projects\nba_video_generator\src\nba_video_generator\ffmpeg-9.0.2-essentials_build\bin\ffmpeg.exe"
}
)
A date range can be specified as well.
from nba_video_generator.beta_search import pipeline
pipeline(
[
("Booker", "2026-04-19", "2026-04-27", "phx"),
],
{"ffmpeg_path": r"C:\Users\ronen\Documents\Projects\nba_video_generator\src\nba_video_generator\ffmpeg-9.0.2-essentials_build\bin\ffmpeg.exe"}
)
Process
- Specify the player last name (as per NBA.com website), team abbreviation, and date(s) (yyyy-mm-dd).
- Programs crawls through play by play by quarter, keeping a list of links and times.
- Events within 5 seconds of each other are merged to a single event.
- Plays are concatenated together to make the video.
A video of the process is provided below.
https://www.youtube.com/watch?v=84GDSAL5CeE
Automatically Make Videos With Agent
Makes videos of the LLM determined best player performances of specified date (default today).
from nba_video_generator.run_agent import nba_agent
date = "2025-12-25"
ffmpeg_path = r"C:\Users\ronen\Documents\Projects\nba_video_generator\src\nba_video_generator\ffmpeg-9.0.2-essentials_build\bin\ffmpeg.exe"
nba_agent(date, ffmpeg_path)
Process
- Specify the date (yyyy-mm-dd).
- LLM chooses players from pool of candidates that meet thresholds in src/nba_video_generator/nba_agent/config.py.
- The videos are made with the
pipelinemethod. The thumbnails with relevant statistics are made afterward. - (Optional) Upload to YouTube with Python. Example program in src/nba_video_generator/example_youtube_upload_scripts. Link to data api - https://developers.google.com/youtube/v3/guides/uploading_a_video.
A video of the process is provided below.
https://www.youtube.com/watch?v=IC8SrrvS4xE&feature=youtu.be
Automatically Make Game Top Plays Shorts - NEW
Makes shorts of the top 4 plays from each of specified date (default today).
from nba_video_generator.nba_shorts import make_shorts_for_date
date = "2025-12-25"
ffmpeg_path = r"C:\Users\ronen\Documents\Projects\nba_video_generator\src\nba_video_generator\ffmpeg-9.0.2-essentials_build\bin\ffmpeg.exe"
make_shorts_for_date(date, ffmpeg_path)
1 maintainer
Metadata
1 maintainer
Release files for nba-video-generator 7.0.13
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Total release size: 121.5 kB
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