imSp4rky e207116d30 fix(ism): derive video colour range from CodecPrivateData SPS VUI
Smooth Streaming manifests carry no range attributes, so every ISM video track was labelled SDR even when the stream is HDR10/HLG/DV, breaking range-based selection (-r HDR10 / -r DV) for ISM services.

  - ism_init: walk the full HEVC SPS (incl. scaling-list and st_ref_pic_set skippers) to read the VUI colour triple (colour_primaries, transfer_characteristics, matrix_coeffs); expose parse_codec_private_data_colour() keyed by FourCC. No unshackle imports added.
  - ism: new ISM.get_video_range() maps the CICP triple via Video.Range.from_cicp (PQ -> HDR10, HLG -> HLG, BT.709/absent -> SDR); DVHE/DVH1 FourCCs map straight to DV since DV bitstreams signal Unspecified (2,2,2) in the VUI. to_tracks() now sets range_ on every video track. Soft-fails to SDR on malformed data.
  - ism: accept RnetSession in download_track() so TLS-impersonated sessions pass the type check.
  - tests: real PQ/HLG/BT.709 (x265-minted) and Dolby Vision (live-manifest, DoViProfile=stn, out-of-order SPS,PPS,VPS NALs) CodecPrivateData samples; byte-level VUI assertions in test_ism_init and manifest->Range characterization in new test_ism_range.
2026-06-11 18:28:35 -06:00
2025-07-18 00:46:05 +00:00
2025-07-18 00:46:05 +00:00
2025-07-18 00:46:05 +00:00
2025-07-18 00:46:05 +00:00
2025-07-18 00:46:05 +00:00

no_encryption unshackle
Movie, TV, and Music Archival Software
Discord

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A modular archival tool for movies, TV, and music. Fork of Devine with DASH/HLS/ISM parsing, Widevine & PlayReady DRM, and a REST API.

unshackle demo

Install

uv tool install git+https://github.com/unshackle-dl/unshackle.git
unshackle --help

Tip

Prefer uv run unshackle ... inside a clone to keep the virtual environment active.

Requirements

External tools on your PATH (recommended versions):

Optional:

License

GPL-3.0. Do not use unshackle for content you lack the rights to. Keep the core free and open; keep service code private. Be kind.

Description
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Readme GPL-3.0 20 MiB
Languages
Python 99.9%