Source code for matx.vision.tv_transforms.decode

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from typing import Any, Tuple, List
import sys
matx = sys.modules['matx']
from .. import ASYNC, ImdecodeOp

from ._base import BaseInterfaceClass, BatchBaseClass


[docs]class Decode(BaseInterfaceClass):
[docs] def __init__(self, to_rgb: bool = False, pool_size: int = 8, device_id: int = -2, sync: int = ASYNC) -> None: super().__init__(device_id=device_id, sync=sync) self.to_rgb: bool = to_rgb self.pool_size: int = pool_size
[docs] def __call__(self, device: Any, device_str: str, sync: int) -> Any: return DecodeImpl(device, device_str, self.to_rgb, self.pool_size, sync)
class DecodeImpl: def __init__(self, device: Any, device_str: str, to_rgb: bool = False, pool_size: int = 8, sync: int = ASYNC): self.device: Any = device self.device_str: str = device_str self.color_format: str = "RGB" if to_rgb else "BGR" self.pool_size: int = pool_size self.op: ImdecodeOp = ImdecodeOp(self.device, self.color_format, self.pool_size) self.sync: int = sync self.name: str = "Decode" def _process(self, imgs: List[bytes]) -> List[matx.NDArray]: return self.op(imgs, sync=self.sync) def __repr__(self) -> str: return '{}(format={}, pool_size={}, device={}, sync={})'.format( self.name, self.color_format, self.pool_size, self.device_str, self.sync) def __call__( self, images: List[bytes], apply_index: List[int] = []) -> List[matx.NDArray]: assert len(apply_index) == 0, "apply_index is not support by jpeg decode." new_images: List[matx.NDArray] = self._process(images) return new_images