| | from __future__ import annotations
|
| |
|
| | import os
|
| | from io import BytesIO
|
| | from typing import IO
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| |
|
| | from . import ExifTags, Image, ImageFile
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| |
|
| | try:
|
| | from . import _avif
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| |
|
| | SUPPORTED = True
|
| | except ImportError:
|
| | SUPPORTED = False
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| |
|
| |
|
| |
|
| | DECODE_CODEC_CHOICE = "auto"
|
| | DEFAULT_MAX_THREADS = 0
|
| |
|
| |
|
| | def get_codec_version(codec_name: str) -> str | None:
|
| | versions = _avif.codec_versions()
|
| | for version in versions.split(", "):
|
| | if version.split(" [")[0] == codec_name:
|
| | return version.split(":")[-1].split(" ")[0]
|
| | return None
|
| |
|
| |
|
| | def _accept(prefix: bytes) -> bool | str:
|
| | if prefix[4:8] != b"ftyp":
|
| | return False
|
| | major_brand = prefix[8:12]
|
| | if major_brand in (
|
| |
|
| | b"avif",
|
| | b"avis",
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| |
|
| |
|
| |
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| |
|
| |
|
| |
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| |
|
| | b"mif1",
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| | b"msf1",
|
| | ):
|
| | if not SUPPORTED:
|
| | return (
|
| | "image file could not be identified because AVIF support not installed"
|
| | )
|
| | return True
|
| | return False
|
| |
|
| |
|
| | def _get_default_max_threads() -> int:
|
| | if DEFAULT_MAX_THREADS:
|
| | return DEFAULT_MAX_THREADS
|
| | if hasattr(os, "sched_getaffinity"):
|
| | return len(os.sched_getaffinity(0))
|
| | else:
|
| | return os.cpu_count() or 1
|
| |
|
| |
|
| | class AvifImageFile(ImageFile.ImageFile):
|
| | format = "AVIF"
|
| | format_description = "AVIF image"
|
| | __frame = -1
|
| |
|
| | def _open(self) -> None:
|
| | if not SUPPORTED:
|
| | msg = "image file could not be opened because AVIF support not installed"
|
| | raise SyntaxError(msg)
|
| |
|
| | if DECODE_CODEC_CHOICE != "auto" and not _avif.decoder_codec_available(
|
| | DECODE_CODEC_CHOICE
|
| | ):
|
| | msg = "Invalid opening codec"
|
| | raise ValueError(msg)
|
| | self._decoder = _avif.AvifDecoder(
|
| | self.fp.read(),
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| | DECODE_CODEC_CHOICE,
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| | _get_default_max_threads(),
|
| | )
|
| |
|
| |
|
| | self._size, self.n_frames, self._mode, icc, exif, exif_orientation, xmp = (
|
| | self._decoder.get_info()
|
| | )
|
| | self.is_animated = self.n_frames > 1
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| |
|
| | if icc:
|
| | self.info["icc_profile"] = icc
|
| | if xmp:
|
| | self.info["xmp"] = xmp
|
| |
|
| | if exif_orientation != 1 or exif:
|
| | exif_data = Image.Exif()
|
| | if exif:
|
| | exif_data.load(exif)
|
| | original_orientation = exif_data.get(ExifTags.Base.Orientation, 1)
|
| | else:
|
| | original_orientation = 1
|
| | if exif_orientation != original_orientation:
|
| | exif_data[ExifTags.Base.Orientation] = exif_orientation
|
| | exif = exif_data.tobytes()
|
| | if exif:
|
| | self.info["exif"] = exif
|
| | self.seek(0)
|
| |
|
| | def seek(self, frame: int) -> None:
|
| | if not self._seek_check(frame):
|
| | return
|
| |
|
| |
|
| | self.__frame = frame
|
| | self.tile = [ImageFile._Tile("raw", (0, 0) + self.size, 0, self.mode)]
|
| |
|
| | def load(self) -> Image.core.PixelAccess | None:
|
| | if self.tile:
|
| |
|
| | data, timescale, pts_in_timescales, duration_in_timescales = (
|
| | self._decoder.get_frame(self.__frame)
|
| | )
|
| | self.info["timestamp"] = round(1000 * (pts_in_timescales / timescale))
|
| | self.info["duration"] = round(1000 * (duration_in_timescales / timescale))
|
| |
|
| | if self.fp and self._exclusive_fp:
|
| | self.fp.close()
|
| | self.fp = BytesIO(data)
|
| |
|
| | return super().load()
|
| |
|
| | def load_seek(self, pos: int) -> None:
|
| | pass
|
| |
|
| | def tell(self) -> int:
|
| | return self.__frame
|
| |
|
| |
|
| | def _save_all(im: Image.Image, fp: IO[bytes], filename: str | bytes) -> None:
|
| | _save(im, fp, filename, save_all=True)
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| |
|
| |
|
| | def _save(
|
| | im: Image.Image, fp: IO[bytes], filename: str | bytes, save_all: bool = False
|
| | ) -> None:
|
| | info = im.encoderinfo.copy()
|
| | if save_all:
|
| | append_images = list(info.get("append_images", []))
|
| | else:
|
| | append_images = []
|
| |
|
| | total = 0
|
| | for ims in [im] + append_images:
|
| | total += getattr(ims, "n_frames", 1)
|
| |
|
| | quality = info.get("quality", 75)
|
| | if not isinstance(quality, int) or quality < 0 or quality > 100:
|
| | msg = "Invalid quality setting"
|
| | raise ValueError(msg)
|
| |
|
| | duration = info.get("duration", 0)
|
| | subsampling = info.get("subsampling", "4:2:0")
|
| | speed = info.get("speed", 6)
|
| | max_threads = info.get("max_threads", _get_default_max_threads())
|
| | codec = info.get("codec", "auto")
|
| | if codec != "auto" and not _avif.encoder_codec_available(codec):
|
| | msg = "Invalid saving codec"
|
| | raise ValueError(msg)
|
| | range_ = info.get("range", "full")
|
| | tile_rows_log2 = info.get("tile_rows", 0)
|
| | tile_cols_log2 = info.get("tile_cols", 0)
|
| | alpha_premultiplied = bool(info.get("alpha_premultiplied", False))
|
| | autotiling = bool(info.get("autotiling", tile_rows_log2 == tile_cols_log2 == 0))
|
| |
|
| | icc_profile = info.get("icc_profile", im.info.get("icc_profile"))
|
| | exif_orientation = 1
|
| | if exif := info.get("exif"):
|
| | if isinstance(exif, Image.Exif):
|
| | exif_data = exif
|
| | else:
|
| | exif_data = Image.Exif()
|
| | exif_data.load(exif)
|
| | if ExifTags.Base.Orientation in exif_data:
|
| | exif_orientation = exif_data.pop(ExifTags.Base.Orientation)
|
| | exif = exif_data.tobytes() if exif_data else b""
|
| | elif isinstance(exif, Image.Exif):
|
| | exif = exif_data.tobytes()
|
| |
|
| | xmp = info.get("xmp")
|
| |
|
| | if isinstance(xmp, str):
|
| | xmp = xmp.encode("utf-8")
|
| |
|
| | advanced = info.get("advanced")
|
| | if advanced is not None:
|
| | if isinstance(advanced, dict):
|
| | advanced = advanced.items()
|
| | try:
|
| | advanced = tuple(advanced)
|
| | except TypeError:
|
| | invalid = True
|
| | else:
|
| | invalid = any(not isinstance(v, tuple) or len(v) != 2 for v in advanced)
|
| | if invalid:
|
| | msg = (
|
| | "advanced codec options must be a dict of key-value string "
|
| | "pairs or a series of key-value two-tuples"
|
| | )
|
| | raise ValueError(msg)
|
| |
|
| |
|
| | enc = _avif.AvifEncoder(
|
| | im.size,
|
| | subsampling,
|
| | quality,
|
| | speed,
|
| | max_threads,
|
| | codec,
|
| | range_,
|
| | tile_rows_log2,
|
| | tile_cols_log2,
|
| | alpha_premultiplied,
|
| | autotiling,
|
| | icc_profile or b"",
|
| | exif or b"",
|
| | exif_orientation,
|
| | xmp or b"",
|
| | advanced,
|
| | )
|
| |
|
| |
|
| | frame_idx = 0
|
| | frame_duration = 0
|
| | cur_idx = im.tell()
|
| | is_single_frame = total == 1
|
| | try:
|
| | for ims in [im] + append_images:
|
| |
|
| | nfr = getattr(ims, "n_frames", 1)
|
| |
|
| | for idx in range(nfr):
|
| | ims.seek(idx)
|
| |
|
| |
|
| | frame = ims
|
| | rawmode = ims.mode
|
| | if ims.mode not in {"RGB", "RGBA"}:
|
| | rawmode = "RGBA" if ims.has_transparency_data else "RGB"
|
| | frame = ims.convert(rawmode)
|
| |
|
| |
|
| | if isinstance(duration, (list, tuple)):
|
| | frame_duration = duration[frame_idx]
|
| | else:
|
| | frame_duration = duration
|
| |
|
| |
|
| | enc.add(
|
| | frame.tobytes("raw", rawmode),
|
| | frame_duration,
|
| | frame.size,
|
| | rawmode,
|
| | is_single_frame,
|
| | )
|
| |
|
| |
|
| | frame_idx += 1
|
| |
|
| | if not save_all:
|
| | break
|
| |
|
| | finally:
|
| | im.seek(cur_idx)
|
| |
|
| |
|
| | data = enc.finish()
|
| | if data is None:
|
| | msg = "cannot write file as AVIF (encoder returned None)"
|
| | raise OSError(msg)
|
| |
|
| | fp.write(data)
|
| |
|
| |
|
| | Image.register_open(AvifImageFile.format, AvifImageFile, _accept)
|
| | if SUPPORTED:
|
| | Image.register_save(AvifImageFile.format, _save)
|
| | Image.register_save_all(AvifImageFile.format, _save_all)
|
| | Image.register_extensions(AvifImageFile.format, [".avif", ".avifs"])
|
| | Image.register_mime(AvifImageFile.format, "image/avif")
|
| |
|