我有一个类,该类使用GDAL模块(https://pypi.org/project/GDAL/)打开较大的栅格图像,并在多个位置(由传递的坐标元组列表定义)中从中提取较小的图像。我想使用Pathos处理大量坐标,如以下简化版代码所示:
import gdal
import pathos.pools as pp
class MyClass:
def __init__(self, image):
self.image_object = gdal.Open(image)
def get_small_image(self, coord, size=100):
small_image = self.image_object.ReadAsArray(coord[0], coord[1], size, size)
return small_image
def run_multi(self, coords_in):
pool = pp.ProcessPool(2)
output = pool.map(self.get_small_image, coords_in)
return output
image = r'C:\path\to\image.JP2'
class_obj = MyClass(image)
coords = [(200, 200), (400, 400), (600, 600), (800, 800)]
results = class_obj.run_multi(coords)
print(results)
运行此命令将出现以下错误:
Traceback (most recent call last):
File "C:/Users/lharris/PycharmProjects/road_condition_py3/error_recreate.py", line 26, in <module>
results = class_obj.run_multi(coords)
File "C:/Users/lharris/PycharmProjects/road_condition_py3/error_recreate.py", line 17, in run_multi
output = pool.map(self.get_small_image, coords_in)
File "C:\Users\lharris\PycharmProjects\road_condition_py3\venv\lib\site-packages\pathos\multiprocessing.py", line 137, in map
return _pool.map(star(f), zip(*args)) # chunksize
File "C:\Users\lharris\PycharmProjects\road_condition_py3\venv\lib\site-packages\multiprocess\pool.py", line 266, in map
return self._map_async(func, iterable, mapstar, chunksize).get()
File "C:\Users\lharris\PycharmProjects\road_condition_py3\venv\lib\site-packages\multiprocess\pool.py", line 644, in get
raise self._value
File "C:\Users\lharris\PycharmProjects\road_condition_py3\venv\lib\site-packages\multiprocess\pool.py", line 424, in _handle_tasks
put(task)
File "C:\Users\lharris\PycharmProjects\road_condition_py3\venv\lib\site-packages\multiprocess\connection.py", line 209, in send
self._send_bytes(_ForkingPickler.dumps(obj))
File "C:\Users\lharris\PycharmProjects\road_condition_py3\venv\lib\site-packages\multiprocess\reduction.py", line 54, in dumps
cls(buf, protocol).dump(obj)
File "C:\Python36\lib\pickle.py", line 409, in dump
self.save(obj)
File "C:\Python36\lib\pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File "C:\Python36\lib\pickle.py", line 751, in save_tuple
save(element)
File "C:\Python36\lib\pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File "C:\Python36\lib\pickle.py", line 736, in save_tuple
save(element)
File "C:\Python36\lib\pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File "C:\Python36\lib\pickle.py", line 736, in save_tuple
save(element)
File "C:\Python36\lib\pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File "C:\Users\lharris\PycharmProjects\road_condition_py3\venv\lib\site-packages\dill\_dill.py", line 1377, in save_function
obj.__dict__), obj=obj)
File "C:\Python36\lib\pickle.py", line 610, in save_reduce
save(args)
File "C:\Python36\lib\pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File "C:\Python36\lib\pickle.py", line 751, in save_tuple
save(element)
File "C:\Python36\lib\pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File "C:\Python36\lib\pickle.py", line 736, in save_tuple
save(element)
File "C:\Python36\lib\pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File "C:\Users\lharris\PycharmProjects\road_condition_py3\venv\lib\site-packages\dill\_dill.py", line 1120, in save_cell
pickler.save_reduce(_create_cell, (f,), obj=obj)
File "C:\Python36\lib\pickle.py", line 610, in save_reduce
save(args)
File "C:\Python36\lib\pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File "C:\Python36\lib\pickle.py", line 736, in save_tuple
save(element)
File "C:\Python36\lib\pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File "C:\Users\lharris\PycharmProjects\road_condition_py3\venv\lib\site-packages\dill\_dill.py", line 1069, in save_instancemethod0
pickler.save_reduce(MethodType, (obj.__func__, obj.__self__), obj=obj)
File "C:\Python36\lib\pickle.py", line 610, in save_reduce
save(args)
File "C:\Python36\lib\pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File "C:\Python36\lib\pickle.py", line 736, in save_tuple
save(element)
File "C:\Python36\lib\pickle.py", line 521, in save
self.save_reduce(obj=obj, *rv)
File "C:\Python36\lib\pickle.py", line 634, in save_reduce
save(state)
File "C:\Python36\lib\pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File "C:\Users\lharris\PycharmProjects\road_condition_py3\venv\lib\site-packages\dill\_dill.py", line 893, in save_module_dict
StockPickler.save_dict(pickler, obj)
File "C:\Python36\lib\pickle.py", line 821, in save_dict
self._batch_setitems(obj.items())
File "C:\Python36\lib\pickle.py", line 852, in _batch_setitems
save(v)
File "C:\Python36\lib\pickle.py", line 521, in save
self.save_reduce(obj=obj, *rv)
File "C:\Python36\lib\pickle.py", line 634, in save_reduce
save(state)
File "C:\Python36\lib\pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File "C:\Users\lharris\PycharmProjects\road_condition_py3\venv\lib\site-packages\dill\_dill.py", line 893, in save_module_dict
StockPickler.save_dict(pickler, obj)
File "C:\Python36\lib\pickle.py", line 821, in save_dict
self._batch_setitems(obj.items())
File "C:\Python36\lib\pickle.py", line 852, in _batch_setitems
save(v)
File "C:\Python36\lib\pickle.py", line 496, in save
rv = reduce(self.proto)
TypeError: can't pickle SwigPyObject objects
仔细观察,Pathos似乎正确使用了Dill和Multiprocess。那么有没有办法使用Pathos或其他方式并行处理SwigPyObjects?
几周前有人提出了类似的要求,但没有得到任何答案(Python pathos error can't pickle SwigPyObject objects),而当我以前无法使用Pathos(How can type 'SwigPyObject be registered using copy_reg.pickle in Python?)时,我问了一个相关的问题。 / p>
我在Windows 7中使用Python 3.6.5在PyCharm中进行开发时遇到了此错误,该虚拟环境是从PyPi下载的.whl文件中安装了我所需的任何程序包的虚拟环境(我无法使用pip正常安装在我的网络上。
任何人能给我的帮助都会很棒!
答案 0 :(得分:0)
因为get_small_image
是一个绑定方法,每个工作人员都需要class_obj
的副本。对于多处理,这是通过传递腌制的python对象来完成的。但是,由于该对象包含类SwigPyObject
class_obj
的成员,因此无法选择,并且整个操作失败。
最直接的解决方法是:
class MyClass:
def __init__(self, image):
self.image_object = None
self.image = image
def get_small_image(self, coord, size=100):
if self.image_object is None:
self.image_object = gdal.Open(self.image)
small_image = self.image_object.ReadAsArray(coord[0], coord[1], size, size)
return small_image
def run_multi(self, coords_in):
pool = pp.ProcessPool(2)
output = pool.map(self.get_small_image, coords_in)
return output
图像的这种延迟加载会导致SwigPyObject
在对象被子进程酸洗/未酸洗后 创建,从而避免了遇到的问题。