python mount回调函数_为python回调函数设置argtype
我對(duì)Python很在行,所以希望我能正確地表達(dá)這個(gè)問(wèn)題。在
整個(gè)問(wèn)題涉及從Python調(diào)用C例程。我可以通過(guò)把一些相關(guān)的問(wèn)題/答案湊在一起來(lái)接近,但我似乎不能把事情安排得很好。有兩個(gè)方面:第一個(gè)是用指針調(diào)用C例程,第二個(gè)是使用回調(diào)函數(shù)。在
背景
Rubner提供了一個(gè)用C[EMD C code location]編寫的EMD例程,他還提供了兩個(gè)調(diào)用EMD例程的示例C程序。我正在嘗試開發(fā)一個(gè)Python例程,作為example2.c的替代,它將調(diào)用EMD例程。(是的,我熟悉EMD的OpenCV實(shí)現(xiàn)。)
為了方便起見,下面是我想從python調(diào)用的emd.c代碼的頭文件:/* DEFINITIONS */
#define MAX_SIG_SIZE 100
#define MAX_ITERATIONS 500
#define INFINITY 1e20
#define EPSILON 1e-6
/*****************************************************************************/
/* feature_t SHOULD BE MODIFIED BY THE USER TO REFLECT THE FEATURE TYPE */
typedef int feature_t;
/* typedef struct { int X,Y,Z; } feature_t;*/
/*typedef struct { int X; } feature_t; */
/*****************************************************************************/
typedef struct
{
int n; /* Number of features in the signature */
feature_t *Features; /* Pointer to the features vector */
float *Weights; /* Pointer to the weights of the features */
} signature_t;
typedef struct
{
int from; /* Feature number in signature 1 */
int to; /* Feature number in signature 2 */
float amount; /* Amount of flow from "from" to "to" */
} flow_t;
float emd(signature_t *Signature1, signature_t *Signature2,
float (*func)(feature_t *, feature_t *),
flow_t *Flow, int *FlowSize);
#endif
最后,這里是我迄今為止拼湊起來(lái)的python代碼。我認(rèn)為(但不確定)我已經(jīng)正確地設(shè)置了結(jié)構(gòu)。(請(qǐng)注意,這是Rubner emd.c代碼中可能的功能結(jié)構(gòu)的簡(jiǎn)化版本。我最終想讓整個(gè)工作正常,但現(xiàn)在我開始變得簡(jiǎn)單了。)我遇到的第一個(gè)問(wèn)題是調(diào)用函數(shù)的argtypes中的某個(gè)地方。我嘗試過(guò)一些變體,但是在網(wǎng)上可以找到的例子非常少,我遇到了困難。在
^{pr2}$
如果有任何關(guān)于我哪里出錯(cuò)的建議,我們將不勝感激。在
我肯定會(huì)遇到的第二個(gè)問(wèn)題是返回指針的argtypes;這里的任何建議都將受到歡迎。在
提前謝謝。在
------------更新(工作)代碼import ctypes
import math
import itertools
MAX_FEATURE_SIZE = 25
FEATURE_t = ctypes.c_int
FEATURE_ptr = ctypes.POINTER(FEATURE_t)
WEIGHT_t = ctypes.c_float
WEIGHT_ptr = ctypes.POINTER(WEIGHT_t)
COUNT_t = ctypes.c_int
COUNT_ptr = ctypes.POINTER(COUNT_t)
class FLOW_t(ctypes.Structure):
_fields_ = [("frm", ctypes.c_int),
("to", ctypes.c_int),
("amount", ctypes.c_float)]
# Note that ctypes.POINTER is compatible with a ctypes array declared
# as TYPE * array_len. This is equivalent to the way we can say 'char
# *foo = "ABCDEF"' in C.
class SIGNATURE_t(ctypes.Structure):
_fields_ = [("N", COUNT_t ),
("feature", FEATURE_ptr),
("weight", WEIGHT_ptr)]
FLOW_ARRAY_t = FLOW_t * (2*MAX_FEATURE_SIZE - 1)
CMPFUNC_t = ctypes.CFUNCTYPE(ctypes.c_float, FEATURE_ptr, FEATURE_ptr)
SIGNATURE_ptr = ctypes.POINTER(SIGNATURE_t)
FLOW_ptr = ctypes.POINTER(FLOW_t)
# Convenience function - keeps us from having to remember all the types and parameters later on
def make_signature(features, weights):
sig = SIGNATURE_t()
sig.N = len(features)
sig.feature = (len(features) * FEATURE_t)(*features)
sig.weight = (len(weights) * WEIGHT_t)(*weights)
return sig
# We want to pass into C a custom distance function from Python
def py_dist_func(f1,f2):
# print "f1, f2: %d, %d" % ( f1[0], f2[0] )
d= distance(f1[0],f2[0])
return d
# set this up as a holder for distance function between any two n-D points
def distance(p0,p1):
return(math.fabs(p0-p1))
dist_callback = CMPFUNC_t(py_dist_func)
#print "Importing emdlib"
emdlib = ctypes.CDLL('emdlib.dylib')
#print "Setting argtypes"
emdlib.emd.argtypes = [ SIGNATURE_ptr,
SIGNATURE_ptr,
CMPFUNC_t,
FLOW_ptr,
COUNT_ptr ]
#print "Setting restype"
emdlib.emd.restype = ctypes.c_float
feature1 = [0, 1,2,3,4,5,6,7,8]
feature2 = [0, 1,2,3,4,5,6,7,8]
weight1 = [0.275,0.296,0.002,0.131,0.208,0.048,0.058,0.098,0.455]
weight2 = [0.285,0.421,0.028,0.021,0.240,0.166,0.023,0.054,0.469]
#print "Creating signatures"
signature1 = make_signature(feature1, weight1)
signature2 = make_signature(feature2, weight2)
flow_array = FLOW_ARRAY_t()
flow_size = COUNT_t()
#print "Calling EMD"
e = emdlib.emd(ctypes.byref(signature1),
ctypes.byref(signature2),
dist_callback,
flow_array,
ctypes.byref(flow_size))
print "EMD= ", e
print "Number of FlowS", flow_size.value
print "Flow"
print "from to amount"
totalFlow=0.0
for i in range(0,flow_size.value):
# print "Flow from %d to %d amount :%f" %(flow_array[i].frm, flow_array[i].to, flow_array[i].amount)
print " %d %d %f" %(flow_array[i].frm, flow_array[i].to, flow_array[i].amount)
totalFlow=totalFlow+flow_array[i].amount
#
# now adjust EMD to account for different signature masses and make it a metric
alpha=1.0
mass1=sum(weight1)
mass2=sum(weight2)
fList=[feature1,feature2]
max_distance= 0.0
for p0, p1 in list(itertools.product(*fList)):
# print p0,p1, distance(p0,p1), max_distance
max_distance = max(max_distance, distance(p0, p1))
print "\nMax distance= %f" % max_distance
print "Total Source = %f" % mass1
print "Total Demand = %f" % mass2
print "Total Flow= %f\n " % totalFlow
print "Alpha = %f\n" %alpha
# emdHat = e*totalFlow+math.sqrt((mass1-mass2)*(mass1-mass2))*alpha*max_distance
emdHat = e*totalFlow+math.fabs((mass1-mass2))*alpha*max_distance
print "Corrected Earth Movers Distance \n"
print "emdHat = %f\n" % emdHat;
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