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), or "Quarter" (one video per quarter).

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-1.0.1.tar.gz (13.5 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-1.0.1-py3-none-any.whl (14.0 kB view details)

Uploaded Python 3

File details

Details for the file nba_video_generator-1.0.1.tar.gz.

File metadata

  • Download URL: nba_video_generator-1.0.1.tar.gz
  • Upload date:
  • Size: 13.5 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-1.0.1.tar.gz
Algorithm Hash digest
SHA256 c16aa145a82e26cd62e4902818ea05f2b156abde9bf0d4c6c37c3e6e929462fc
MD5 4b4191b1bb119d681762cb1cc254b0a3
BLAKE2b-256 f3a30de1d884698133cc5020a6d68846cc0a03d5f60ce6d56b64f98038de33ca

See more details on using hashes here.

Provenance

The following attestation bundles were made for nba_video_generator-1.0.1.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-1.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for nba_video_generator-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 6ed740fc1fb3f1cebfdd2bc078f9d2c97c07e9fee4cec08d36e9487837e8699c
MD5 87f651b8e58dda0b02b0df8580819d2d
BLAKE2b-256 e5ba2a0cf7593465d2ffd754d8339e5415dd9be4baeecb43ff608f6e1c24b6e1

See more details on using hashes here.

Provenance

The following attestation bundles were made for nba_video_generator-1.0.1-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