小编Ale*_*dar的帖子

我尝试用PyQt和openalpr构建一个GUI应用程序,但是我的代码存在问题.一个简单的例子:

from openalpr import Alpr
from PyQt4 import QtCore, QtGui

class AnalizePlate(object):

    def __init__(self):

        self.alpr = None
        try:
            self.alpr = Alpr("eu", "/etc/openalpr/openalpr.conf", "/usr/share/openalpr/runtime_data")
            if not self.alpr.is_loaded():
                print("Error loading OpenALPR")
        except:
            print "Error"


    def proccess(self):
        self.alpr.set_top_n(7)
        self.alpr.set_default_region("md")

        results = self.alpr.recognize_file("/tmp/1487428945.14.jpg")
        print results

a = AnalizePlate()
a.proccess()

上面的代码就像一个魅力,但如果涉及到GUI,就会出现奇怪的行为.

from openalpr import Alpr
from PyQt4 import QtCore, QtGui

class AnalizePlate(object):

    def __init__(self):

        self.alpr = None
        try:
            self.alpr = Alpr("eu", "/etc/openalpr/openalpr.conf", "/usr/share/openalpr/runtime_data")
            if not self.alpr.is_loaded():
                print("Error loading OpenALPR")
        except:
            print "Error"


    def proccess(self):
        self.alpr.set_top_n(7) …

我的目标是检测IP摄像机流上特定区域的移动.我设法编写了工作代码,但这是基于我个人的理解.

import cv2
import numpy as np
import os
import time
import datetime
import urllib
import pynotify

stream=urllib.urlopen('http://user:pass@192.168.198.120/video.mjpg')
bytes=''
fgbg = cv2.createBackgroundSubtractorMOG2()

while True:
    bytes+=stream.read(16384)
    a = bytes.find('\xff\xd8')
    b = bytes.find('\xff\xd9')
    if a!=-1 and b!=-1:
        jpg = bytes[a:b+2]
        bytes= bytes[b+2:]
        img = cv2.imdecode(np.fromstring(jpg, dtype=np.uint8),cv2.IMREAD_COLOR)
        rows,cols,c = img.shape
        mask = np.zeros(img.shape, dtype=np.uint8)
        roi_corners = np.array([[(940,220),(1080,240), (1080,310), (940,290)]], dtype=np.int32)
        channel_count = img.shape[2]
        ignore_mask_color = (255,)*channel_count
        cv2.fillPoly(mask, roi_corners, ignore_mask_color)
        masked_image = cv2.bitwise_and(img, mask)

        fgmask = fgbg.apply(masked_image)
        iii = fgmask[220:310,940:1080]

        hist,bins = np.histogram(iii.ravel(),256,[0,256])

        black, …

我有两个文件，module.go和test.py. 我的目标是加快一些在 python 中完成的计算，但在访问 go 中的整数数组时遇到问题。

module.go

package main

import "C"

//export Example
func Example(testArray []C.int) C.int {
    return testArray[2]
}

func main() {}

和python中的简单测试文件：

from ctypes import *

# Load compiled go module
lib = cdll.LoadLibrary("./gomodule.so")
# We are passing an array of 256 elements and recieving integer
lib.Example.argtypes = [c_int * 256]
lib.Example.restype = c_int
pyarr = [x for x in range(256)]
# Make C array from py array
arr = (c_int * len(pyarr))(*pyarr) …