Skip to main content

Generates video highlights for an NBA player.

Project description

NBA Highlights Video Generator

Author

Ronen Huang

Time Frame

August 2025 to Present

How the Generator Works

  1. The user provides the full player name (as per NBA website), the date range, the team abbreviated (as per NBA website), and choices of what highlights to include. An example can be seen below.
    from nba_video_generator.search import generate_video
    
    jalen_green_assists_urls = generate_video(
        player_name="Jalen Green",
        date_start="2024-11-01", 
        date_end="2024-11-08",
        team="hou",
        FGM=False,
        FGA=False,
        ThreePM=False,
        ThreePA=False,
        OREB=False,
        DREB=False,
        REB=False, 
        AST=True,
        STL=False,
        BLK=False,
        TO=True,
        PF=False
    )
    
  2. The program crawls the NBA website for links to the box score involving the player team.
  3. The program crawls the team box score for links to the events involving the player.
  4. The program crawls the player events for links to the videos.

If field goals or personal fouls are selected as highlight, the corresponding ESPN play by play link is used to determine the times of those events. Then the NBA play by play link is crawled for the videos of those events.

The output returns a dictionary where the keys are the dates and the events are the sorted list of events (represented as a tuple of video url, quarter, and time). An example can be seen below.

{
    '2024-11-02':
        [
            (video url 1, '1', '8:12'),
            (video url 2, '3', '9:50'),
            (video url 3, '3', '8:52'),
            (video url 4, '3','2:38')
        ],
    '2024-11-04':
        [
            (video url 5, '3', '1:37'),
            (video url 6, '4', '11:28'),
            (video url 7, '4', '10:54'),
            (video url 8, '4', '10:28'),
            (video url 9, '4', '2:10'),
            (video url 10, '4', '1:34')
        ],
    ...
}

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

How to Make Video From Event URLS

Once the dictionary of event urls are obtained from the generate_videos method, the user can make the MP4 video with the make_video method which takes parameters

  • video_urls - dictionary of event urls
  • base_name - name of video
  • fps - frame per second
  • preset - Choose from "ultrafast", "veryfast", "superfast", "faster", "fast", "medium", "slow", "slower", "veryslow", "placebo"
  • segment - how to create videos with "Whole", "Game" (one video per game), "Quarter" (one video per quarter), "Play" (one video per play)

An example can be seen below.

from nba_video_generator.search import make_video

make_video(
    video_urls=jalen_green_assists_urls,
    base_name="jalen_green_assists",
    fps=30, preset="ultrafast",
    segment="Whole"
)

Examples

The examples can be seen in the make_videos_example.ipynb notebook which demonstrate the outputs of both methods described above.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nba_video_generator-1.0.4.tar.gz (13.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

nba_video_generator-1.0.4-py3-none-any.whl (14.2 kB view details)

Uploaded Python 3

File details

Details for the file nba_video_generator-1.0.4.tar.gz.

File metadata

  • Download URL: nba_video_generator-1.0.4.tar.gz
  • Upload date:
  • Size: 13.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for nba_video_generator-1.0.4.tar.gz
Algorithm Hash digest
SHA256 d08d05029472c85aeb5b50cef3d8e81ec8b4bd0b95e57c17ead5da4de8cb2aa0
MD5 ecfeb0833405202153ed5e6132fff285
BLAKE2b-256 c81cf8edee34a8987ffddff2ef9fd8bf9ad9bcc07d5129da8a79a2d85047225a

See more details on using hashes here.

Provenance

The following attestation bundles were made for nba_video_generator-1.0.4.tar.gz:

Publisher: python-publish.yml on ronenh24/nba_video_generator

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nba_video_generator-1.0.4-py3-none-any.whl.

File metadata

File hashes

Hashes for nba_video_generator-1.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 b2ac8050eacff6444cceafc5d697b9a622690b977bc2718373922aac0e251e7a
MD5 d45399eca01fe788d71e13b90dc840c5
BLAKE2b-256 de0aadcdce0cbc3fcff14d1b3727a229b39592bc4fd96cf1b790a87b3ddde97d

See more details on using hashes here.

Provenance

The following attestation bundles were made for nba_video_generator-1.0.4-py3-none-any.whl:

Publisher: python-publish.yml on ronenh24/nba_video_generator

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page