| | from __future__ import annotations |
| |
|
| | import os |
| | from io import BytesIO |
| | from typing import IO |
| |
|
| | from . import ExifTags, Image, ImageFile |
| |
|
| | try: |
| | from . import _avif |
| |
|
| | SUPPORTED = True |
| | except ImportError: |
| | SUPPORTED = False |
| |
|
| | |
| | |
| | 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", |
| | |
| | |
| | |
| | |
| | |
| | |
| | |
| | b"mif1", |
| | 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) |
| |
|
| | assert self.fp is not None |
| | self._decoder = _avif.AvifDecoder( |
| | self.fp.read(), |
| | DECODE_CODEC_CHOICE, |
| | _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 |
| |
|
| | 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) |
| |
|
| |
|
| | 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") |
| |
|