# Copyright 2022 ByteDance Ltd. and/or its affiliates.
#
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# "License"); you may not use this file except in compliance
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#
# http://www.apache.org/licenses/LICENSE-2.0
#
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from typing import Any, List
from .constants._sync_mode import ASYNC
import random
from ..native import make_native_object
import sys
matx = sys.modules['matx']
class _SolarizeOpImpl:
""" SolarizeOp Impl """
def __init__(self,
device: Any,
threshold: float = 128.0,
prob: float = 1.1) -> None:
self.op: matx.NativeObject = make_native_object(
"VisionSolarizeGeneralOp", device())
self.prob: float = prob
self.threshold: float = threshold
def __call__(self,
images: List[matx.runtime.NDArray],
threshold: List[float] = [],
sync: int = ASYNC) -> List[matx.runtime.NDArray]:
batch_size: int = len(images)
if len(threshold) != 0 and len(threshold) != batch_size:
assert False, "The length of threshold should be 0 or equal to input images"
if len(threshold) == 0:
threshold = [self.threshold for _ in range(batch_size)]
if self.prob >= 1.0:
return self.op.process(images, threshold, sync)
for i in range(batch_size):
if random.random() >= self.prob:
threshold[i] = 256.0
return self.op.process(images, threshold, sync)
[文档]class SolarizeOp:
""" Apply solarization on images. i.e. invert the pixel value if the value is above the given threshold.
"""
[文档] def __init__(self,
device: Any,
threshold: float = 128.0,
prob: float = 1.1) -> None:
""" Initialize SolarizeOp
Args:
device (Any) : the matx device used for the operation
threshold (float, optional): solarization threshold for all images, 128 by default.
prob (float, optional): probability for solarization on each image. Apply on all by default.
"""
self.op_impl: _SolarizeOpImpl = matx.script(_SolarizeOpImpl)(device=device,
threshold=threshold,
prob=prob)
[文档] def __call__(self,
images: List[matx.runtime.NDArray],
threshold: List[float] = [],
sync: int = ASYNC) -> List[matx.runtime.NDArray]:
""" Apply solarization on images. Only support uint8 images
Args:
images (List[matx.runtime.NDArray]): target images.
threshold (List[float], optional): solarization threshold for each image. If not given the threshold for op initialization would be used.
sync (int, optional): sync mode after calculating the output. when device is cpu, the params makes no difference.
ASYNC -- If device is GPU, the whole calculation process is asynchronous.
SYNC -- If device is GPU, the whole calculation will be blocked until this operation is finished.
SYNC_CPU -- If device is GPU, the whole calculation will be blocked until this operation is finished, and the corresponding CPU array would be created and returned.
Defaults to ASYNC.
Example:
>>> import cv2
>>> import matx
>>> from matx.vision import SolarizeOp
>>> # Get origin_image.jpeg from https://github.com/bytedance/matxscript/tree/main/test/data/origin_image.jpeg
>>> image = cv2.imread("./origin_image.jpeg")
>>> device_id = 0
>>> device_str = "gpu:{}".format(device_id)
>>> device = matx.Device(device_str)
>>> # Create a list of ndarrays for batch images
>>> batch_size = 3
>>> nds = [matx.array.from_numpy(image, device_str) for _ in range(batch_size)]
>>> threshold = [80, 160, 240]
>>> op = SolarizeOp(device)
>>> ret = op(nds, threshold)
"""
return self.op_impl(images, threshold, sync)