Multithreading 在ImageJ中使用Jython进行多线程处理

我在ImageJ中使用Jython编写了一个图像分析管道。我对使用多线程加速进程感兴趣。基本上，管道处理多个图像（以相同的方式），我想同时处理这些图像。

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我看到了一个使用Python和多处理（）的示例。这在Jython身上是不可能的。任何关于如何进行的帮助都将不胜感激（我对多线程一无所知）

Jython的权威指南中有一章介绍并发性，它为这个问题提供了非常全面的答案：

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这是我找到的解决方案，以防有用。注意-在我的计算机上，这并没有显著减少执行时间

from java.util.concurrent import Callable
from java.util.concurrent import Executors, TimeUnit

# get user to select a directory and list all file names
settings = IJ.getDirectory("Choose a Directory")
for dirname, dirnames, filenames in os.walk(settings):
   for filename in filenames:
        SITES.append(os.path.join(dirname, filename))

# function for shutting down the pool - taken from: 
# http://www.jython.org/jythonbook/en/1.0/Concurrency.html
def shutdown_and_await_termination(pool, timeout):
  pool.shutdown()
  try:
    if not pool.awaitTermination(timeout, TimeUnit.SECONDS):
        pool.shutdownNow()
        if (not pool.awaitTermination(timeout, TimeUnit.SECONDS)):
            print >> sys.stderr, "Pool did not terminate"
  except InterruptedException, ex:
    # (Re-)Cancel if current thread also interrupted
    pool.shutdownNow()
    # Preserve interrupt status
    Thread.currentThread().interrupt()

# function that will change all images listed - in this case convert to 8bit
def help(imp):
  conv = ImageConverter(imp)
  conv.convertToGray8() 

# make a callable interface where image will be each image in the list
# in this case each image will be opened, the help function run, which 
# converts to 8bit and then the image is displayed on screen
class imageConverter(Callable):
  def __init__(self):
    self.test = image

  def call(self):
    imp = IJ.openImage(self.test)
    help(imp)
    imp.show()

# define the number of threads
MAX_CONCURRENT = 2
pool = Executors.newFixedThreadPool(MAX_CONCURRENT)
# define the task to do in a multithreaded way
imageConverter = [imageConverter() for image in SITES]

# use all defined threads to convert the images
pool.invokeAll(imageConverter)

shutdown_and_await_termination(pool, 5)