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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

  1. Specify the player last name (as per NBA.com website), team abbreviation, and date(s) (yyyy-mm-dd).
  2. Programs crawls through play by play by quarter, keeping a list of links and times.
  3. Events within 5 seconds of each other are merged to a single event.
  4. 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

  1. Specify the date (yyyy-mm-dd).
  2. LLM chooses players from pool of candidates that meet thresholds in src/nba_video_generator/nba_agent/config.py.
  3. The videos are made with the pipeline method. The thumbnails with relevant statistics are made afterward.
  4. (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)

Metadata

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