Commit c9c631ba authored by Yuri Victorovich's avatar Yuri Victorovich
Browse files

multimedia/py-decord: Remove

parent c0ef9985

MOVED

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@@ -5094,3 +5094,4 @@ sysutils/bareos22-traymonitor||2026-01-29|Has expired: not supported upstream 
sysutils/bareos22-server||2026-01-29|Has expired: not supported upstream

multimedia/decord||2026-01-31|Doesn't build with ffmpeg>6; upstream is inactive for 4 years

x11/rofi-wayland|x11/rofi|2026-01-31|Wayland bits are now part of the main port

multimedia/py-decord||2026-01-31|Python bindings of multimedia/decord that was removed

multimedia/Makefile

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@@ -298,7 +298,6 @@ 
    SUBDIR += pwcview

    SUBDIR += py-av

    SUBDIR += py-cec

    SUBDIR += py-decord

    SUBDIR += py-enzyme

    SUBDIR += py-gstreamer1

    SUBDIR += py-guessit

multimedia/py-decord/Makefile

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PORTNAME=	decord

DISTVERSIONPREFIX=	v

DISTVERSION=	0.6.0

PORTREVISION=	1

CATEGORIES=	multimedia python # machine-learning

PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}



MAINTAINER=	yuri@FreeBSD.org

COMMENT=	Efficient video loader for deep learning

WWW=		https://github.com/olemb/mido



LICENSE=	MIT

LICENSE_FILE=	${WRKSRC}/../LICENSE



LIB_DEPENDS=	libdecord.so:multimedia/decord



USES=		python

USE_PYTHON=	distutils autoplist



USE_GITHUB=	yes

GH_ACCOUNT=	dmlc



WRKSRC_SUBDIR=	python



MAKE_ENV=	DECORD_LIBRARY_PATH=${LOCALBASE}/lib



POST_PLIST=	fix-plist



NO_ARCH=	yes



fix-plist:

	@${REINPLACE_CMD} -e "s|decord/libdecord.so||" ${TMPPLIST}



post-install:

	@${RM} ${STAGEDIR}${PREFIX}/decord/libdecord.so

	@${RMDIR} ${STAGEDIR}${PREFIX}/decord



.include <bsd.port.mk>

multimedia/py-decord/distinfo

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TIMESTAMP = 1721154896

SHA256 (dmlc-decord-v0.6.0_GH0.tar.gz) = 4aeeb102973bbf6e3b0344d53b055e49939ea47f3607fd0e8ae4aad2d4e60b5b

SIZE (dmlc-decord-v0.6.0_GH0.tar.gz) = 19222049

multimedia/py-decord/pkg-descr

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Decord is a reverse procedure of Record. It provides convenient video slicing

methods based on a thin wrapper on top of hardware accelerated video decoders,

e.g.

  FFMPEG/LibAV(Done)

  Nvidia Codecs(Done)

  Intel Codecs



Decord was designed to handle awkward video shuffling experience in order to

provide smooth experiences similar to random image loader for deep learning.



Decord is also able to decode audio from both video and audio files. One can

slice video and audio together to get a synchronized result; hence providing

a one-stop solution for both video and audio decoding.