I'm speeding up my program by integrating c code into my python program. I'm using ctypes
to execute functions in c from python.
c program:
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#define MAX_ITERATIONS 1000
static void calculate_pixel(int x, int y, int size, float*** img){
int i = 0;
float a = 0.0, b = 0.0;
while(a*a+b*b <= 4.0 && i < MAX_ITERATIONS){
float temp_a = a;
a = a*a - b*b + x;
b = 2*a*b + y;
i++;
}
float temp[3];
memset(&temp, 0, sizeof(float)*3);
if(i != MAX_ITERATIONS){
float brightness = logf(1.75 + i - logf(log(a*a + b*b))) / log(MAX_ITERATIONS);
temp[0] = brightness;
temp[1] = brightness;
temp[2] = 1;
}
memcpy(img[x][y], &temp, sizeof(float)*3);
}
float*** mandel(int size){
ssize_t len = (size)*sizeof(float*);
float*** img = malloc(len);
int x, y;
for(x = 0; x < size; x++){
img[x] = malloc(len);
for(y = 0; y < size; y++){
img[x][y] = malloc(sizeof(float)*3);
calculate_pixel(x, y, size, img);
}
}
return img;
}
Python program:
from ctypes import *
import matplotlib.pyplot as pl
size = 1000
lib = './mandelbrot3.so'
dll = cdll.LoadLibrary(lib)
dll.mandel.argtypes = [c_int]
#what i get in return from the c program
dll.mandel.restype = POINTER(POINTER(POINTER(c_float*3)*size)*size)
#calling function "mandel" in c program
res = dll.mandel(size)
#printing first value, does work this way
print(res.contains[0].contains[0].contains[0])
#creating a picture with pyplot, and inserting the array this way,
#does not work because its pointers
pl.imshow(res.contains)
pl.show()
dll.mandel.restype
is a tripple pointer with size: 1000*1000*3. This is creates a picture where the size is 1000*1000 pixels and the 3 floats is the rgb values.
so my problem is that what i get back from the c program is just a tripple pointer. And i need to be able to convert it over to a normal 3d python list or numpy array. Is there a better way to do this than just reading all the elements in the pointer array with a for loop and inserting them in to the new list or numpy array?
I'm not sure about this triple-pointer business, but getting arrays from C to numpy works like this:
Assuming you have already received a ctypes POINTER
to your image buffer, and you know the height
, width
and data type...
You can make a ctypes
array the same size as your image from your buffer like so:
arr = (c_float * height * width * 3).from_address(addressof(data.contents))
In this case data
is the POINTER
.
Then create an ndarray
from it using the buffer
kwarg:
import numpy as np
img = np.ndarray(buffer=arr, dtype=np.float32, shape=(height, width, 3))
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