{"id":34052,"date":"2024-06-16T13:57:35","date_gmt":"2024-06-16T13:57:35","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d8%a8%d8%b1%d9%86%d8%a7%d9%85%d9%87-opencv%d8%9b-%d9%be%d8%b1%d9%88%da%98%d9%87%d9%87%d8%a7%db%8c-%d8%a8%db%8c%d9%86%d8%a7%db%8c%db%8c-%d8%b1%d8%a7%db%8c%d8%a7\/"},"modified":"2024-06-16T10:28:37","modified_gmt":"2024-06-16T10:28:37","slug":"%da%a9%d8%aa%d8%a7%d8%a8-%d8%a8%d8%b1%d9%86%d8%a7%d9%85%d9%87-opencv%d8%9b-%d9%be%d8%b1%d9%88%da%98%d9%87%d9%87%d8%a7%db%8c-%d8%a8%db%8c%d9%86%d8%a7%db%8c%db%8c-%d8%b1%d8%a7%db%8c%d8%a7","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d8%a8%d8%b1%d9%86%d8%a7%d9%85%d9%87-opencv%d8%9b-%d9%be%d8%b1%d9%88%da%98%d9%87%d9%87%d8%a7%db%8c-%d8%a8%db%8c%d9%86%d8%a7%db%8c%db%8c-%d8%b1%d8%a7%db%8c%d8%a7\/","title":{"rendered":"\u06a9\u062a\u0627\u0628 \u0628\u0631\u0646\u0627\u0645\u0647 OpenCV\u061b \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0631\u0627\u06cc\u0627\u200c\u0646\u0647\u200c\u0627\u06cc \u0628\u0627 \u067e\u0627\u06cc\u062a\u0648\u0646"},"content":{"rendered":"

 <\/p>\n

\"\u062f\u0627\u0646\u0644\u0648\u062f<\/div>\n\n\n\n
\n

\u0639\u0646\u0648\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc:<\/h3>\n<\/td>\n

\n

OpenCV: Computer Vision Projects with Python<\/h3>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n
\u0633\u0627\u0644 \u0627\u0646\u062a\u0634\u0627\u0631: 2016\u00a0\u00a0|\u00a0\u00a0570 \u0635\u0641\u062d\u0647\u00a0\u00a0|\u00a0\u00a0\u062d\u062c\u0645 \u0641\u0627\u06cc\u0644: 14 \u0645\u06af\u0627\u0628\u0627\u06cc\u062a\u00a0\u00a0|\u00a0\u00a0\u0632\u0628\u0627\u0646: \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n\n\n\n
\u0646\u0648\u06cc\u0633\u0646\u062f\u0647<\/td>\nJoseph Howse<\/td>\n<\/tr>\n
\u0646\u0627\u0634\u0631<\/td>\nPackt Publishing<\/td>\n<\/tr>\n
ISBN10:<\/td>\n1787125491<\/td>\n<\/tr>\n
ISBN13:<\/td>\n9781787125490<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628<\/h2>\n
Get savvy with OpenCV and actualize cool computer vision applicationsAbout This Book
\nUse OpenCV’s Python bindings to capture video, manipulate images, and track objects
\nLearn about the different functions of OpenCV and their actual implementations.
\nDevelop a series of intermediate to advanced projects using OpenCV and PythonWho This Book Is For
\nThis learning path is for someone who has a working knowledge of Python and wants to try out OpenCV. This Learning Path will take you from a beginner to an expert in computer vision applications using OpenCV. OpenCV’s application are humongous and this Learning Path is the best resource to get yourself acquainted thoroughly with OpenCV.What You Will Learn
\nInstall OpenCV and related software such as Python, NumPy, SciPy, OpenNI, and SensorKinect – all on Windows, Mac or Ubuntu
\nApply “curves” and other color transformations to simulate the look of old photos, movies, or video games
\nApply geometric transformations to images, perform image filtering, and convert an image into a cartoon-like image
\nRecognize hand gestures in real time and perform hand-shape analysis based on the output of a Microsoft Kinect sensor
\nReconstruct a 3D real-world scene from 2D camera motion and common camera reprojection techniques
\nDetect and recognize street signs using a cascade classifier and support vector machines (SVMs)
\nIdentify emotional expressions in human faces using convolutional neural networks (CNNs) and SVMs
\nStrengthen your OpenCV2 skills and learn how to use new OpenCV3 featuresIn Detail
\nOpenCV is a state-of-art computer vision library that allows a great variety of image and video processing operations. OpenCV for Python enables us to run computer vision algorithms in real time. This learning path proposes to teach the following topics. First, we will learn how to get started with OpenCV and OpenCV3’s Python API, and develop a computer vision application that tracks body parts. Then, we will build amazing intermediate-level computer vision applications such as making an object disappear from an image, identifying different shapes, reconstructing a 3D map from images , and building an augmented reality application, Finally, we’ll move to more advanced projects such as hand gesture recognition, tracking visually salient objects, as well as recognizing traffic signs and emotions on faces using support vector machines and multi-layer perceptrons respectively.
\nThis Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:
\nOpenCV Computer Vision with Python by Joseph Howse
\nOpenCV with Python By Example by Prateek Joshi
\nOpenCV with Python Blueprints by Michael BeyelerStyle and approach
\nThis course aims to create a smooth learning path that will teach you how to get started with will learn how to get started with OpenCV and OpenCV 3’s Python API, and develop superb computer vision applications. Through this comprehensive course, you’ll learn to create computer vision applications from scratch to finish and more!.<\/div>\n

\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc (\u062a\u0631\u062c\u0645\u0647 \u0645\u0627\u0634\u06cc\u0646\u06cc)<\/h2>\n

\u0628\u0627 OpenCV \u0632\u0631\u0646\u06af \u0634\u0648\u06cc\u062f \u0648 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u062f\u06cc\u062f\u0646\u06cc \u0631\u0627\u06cc\u0627\u0646\u0647 \u0627\u06cc \u0631\u0627 \u062f\u0631 \u0645\u0648\u0631\u062f \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0648\u0627\u0642\u0639\u06cc \u06a9\u0646\u06cc\u062f
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\n\u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 OpenCV \u0648 Pythonwho \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u060c \u06cc\u06a9 \u0633\u0631\u06cc \u0627\u0632 \u067e\u0631\u0648\u0698\u0647 \u0647\u0627\u06cc \u0645\u062a\u0648\u0633\u0637 \u062a\u0627 \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f
\n\u0627\u06cc\u0646 \u0645\u0633\u06cc\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0628\u0631\u0627\u06cc \u06a9\u0633\u06cc \u0627\u0633\u062a \u06a9\u0647 \u062f\u0627\u0646\u0634 \u06a9\u0627\u0631\u06cc \u0627\u0632 \u067e\u0627\u06cc\u062a\u0648\u0646 \u062f\u0627\u0631\u062f \u0648 \u0645\u06cc \u062e\u0648\u0627\u0647\u062f OpenCV \u0631\u0627 \u0627\u0645\u062a\u062d\u0627\u0646 \u06a9\u0646\u062f.\u0627\u06cc\u0646 \u0645\u0633\u06cc\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0634\u0645\u0627 \u0631\u0627 \u0627\u0632 \u06cc\u06a9 \u0645\u0628\u062a\u062f\u06cc \u0628\u0647 \u06cc\u06a9 \u0645\u062a\u062e\u0635\u0635 \u062f\u0631 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u062f\u06cc\u062f \u0631\u0627\u06cc\u0627\u0646\u0647 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 OpenCV \u0633\u0648\u0642 \u0645\u06cc \u062f\u0647\u062f.\u06a9\u0627\u0631\u0628\u0631\u062f OpenCV \u0628\u0633\u06cc\u0627\u0631 \u0641\u0631\u0648\u0645\u0627\u06cc\u0647 \u0627\u0633\u062a \u0648 \u0627\u06cc\u0646 \u0645\u0633\u06cc\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0628\u0647\u062a\u0631\u06cc\u0646 \u0645\u0646\u0628\u0639 \u0628\u0631\u0627\u06cc \u0622\u0634\u0646\u0627\u06cc\u06cc \u06a9\u0627\u0645\u0644 \u0628\u0627 OpenCV \u0627\u0633\u062a. \u0686\u0647 \u0686\u06cc\u0632\u06cc \u0631\u0627 \u06cc\u0627\u062f \u062e\u0648\u0627\u0647\u06cc\u062f \u06af\u0631\u0641\u062a
\nOpenCV \u0648 \u0646\u0631\u0645 \u0627\u0641\u0632\u0627\u0631\u0647\u0627\u06cc \u0645\u0631\u062a\u0628\u0637 \u0645\u0627\u0646\u0646\u062f Python \u060c Numpy \u060c Scipy \u060c Openni \u0648 SensorkInect \u0631\u0627 \u0646\u0635\u0628 \u06a9\u0646\u06cc\u062f – \u0647\u0645\u0647 \u062f\u0631 \u0648\u06cc\u0646\u062f\u0648\u0632 \u060c \u0645\u06a9 \u06cc\u0627 \u0627\u0648\u0628\u0648\u0646\u062a\u0648
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\n\u062d\u0631\u06a9\u0627\u062a \u062f\u0633\u062a \u0631\u0627 \u062f\u0631 \u0632\u0645\u0627\u0646 \u0648\u0627\u0642\u0639\u06cc \u0628\u0634\u0646\u0627\u0633\u06cc\u062f \u0648 \u0628\u0631 \u0627\u0633\u0627\u0633 \u062e\u0631\u0648\u062c\u06cc \u06cc\u06a9 \u0633\u0646\u0633\u0648\u0631 \u0645\u0627\u06cc\u06a9\u0631\u0648\u0633\u0627\u0641\u062a Kinect \u060c \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0634\u06a9\u0644 \u062f\u0633\u062a\u06cc \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u062f
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\n\u0639\u0644\u0627\u0626\u0645 \u062e\u06cc\u0627\u0628\u0627\u0646\u06cc \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06a9\u0646\u0646\u062f\u0647 \u0622\u0628\u0634\u0627\u0631 \u0648 \u062f\u0633\u062a\u06af\u0627\u0647 \u0647\u0627\u06cc \u0628\u0631\u062f\u0627\u0631 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc (SVMS) \u062a\u0634\u062e\u06cc\u0635 \u062f\u0627\u062f\u0647 \u0648 \u062a\u0634\u062e\u06cc\u0635 \u062f\u0647\u06cc\u062f
\n\u0628\u06cc\u0627\u0646 \u0639\u0627\u0637\u0641\u06cc \u062f\u0631 \u0686\u0647\u0631\u0647 \u0647\u0627\u06cc \u0627\u0646\u0633\u0627\u0646 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u062d\u0644\u0642\u0648\u06cc (CNN) \u0648 SVM \u0647\u0627 \u0631\u0627 \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u06a9\u0646\u06cc\u062f
\n\u0645\u0647\u0627\u0631\u062a \u0647\u0627\u06cc OpenCV2 \u062e\u0648\u062f \u0631\u0627 \u062a\u0642\u0648\u06cc\u062a \u06a9\u0646\u06cc\u062f \u0648 \u06cc\u0627\u062f \u0628\u06af\u06cc\u0631\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0627\u0632 \u062c\u0632\u0626\u06cc\u0627\u062a \u062c\u062f\u06cc\u062f OpenCv3 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f
\nOpenCV \u06cc\u06a9 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0645\u062f\u0631\u0646 \u0648 \u0686\u0634\u0645 \u0627\u0646\u062f\u0627\u0632 \u0631\u0627\u06cc\u0627\u0646\u0647 \u0627\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u062a\u0646\u0648\u0639 \u0632\u06cc\u0627\u062f\u06cc \u0627\u0632 \u0639\u0645\u0644\u06cc\u0627\u062a \u067e\u0631\u062f\u0627\u0632\u0634 \u062a\u0635\u0648\u06cc\u0631 \u0648 \u0641\u06cc\u0644\u0645 \u0627\u062c\u0627\u0632\u0647 \u0645\u06cc \u062f\u0647\u062f.OpenCV \u0628\u0631\u0627\u06cc Python \u0645\u0627 \u0631\u0627 \u0642\u0627\u062f\u0631 \u0645\u06cc \u0633\u0627\u0632\u062f \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u062f\u06cc\u062f \u0631\u0627\u06cc\u0627\u0646\u0647 \u0631\u0627 \u062f\u0631 \u0632\u0645\u0627\u0646 \u0648\u0627\u0642\u0639\u06cc \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u0645.\u0627\u06cc\u0646 \u0645\u0633\u06cc\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u067e\u06cc\u0634\u0646\u0647\u0627\u062f \u0645\u06cc \u06a9\u0646\u062f \u0645\u0648\u0636\u0648\u0639\u0627\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0622\u0645\u0648\u0632\u0634 \u062f\u0647\u062f.\u0627\u0648\u0644 \u060c \u0645\u0627 \u06cc\u0627\u062f \u062e\u0648\u0627\u0647\u06cc\u0645 \u06af\u0631\u0641\u062a \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0628\u0627 API OpenCV \u0648 OpenCV3 API \u0634\u0631\u0648\u0639 \u06a9\u0646\u06cc\u0645 \u0648 \u06cc\u06a9 \u0628\u0631\u0646\u0627\u0645\u0647 \u062f\u06cc\u062f \u0631\u0627\u06cc\u0627\u0646\u0647 \u0627\u06cc \u0631\u0627 \u062a\u0647\u06cc\u0647 \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0642\u0637\u0639\u0627\u062a \u0628\u062f\u0646 \u0631\u0627 \u0631\u062f\u06cc\u0627\u0628\u06cc \u06a9\u0646\u062f.\u0633\u067e\u0633 \u060c \u0645\u0627 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u0628\u06cc\u0646\u0627\u06cc\u06cc \u0631\u0627\u06cc\u0627\u0646\u0647 \u0627\u06cc \u062f\u0631 \u0633\u0637\u062d \u0645\u06cc\u0627\u0646\u06cc \u0634\u06af\u0641\u062a \u0627\u0646\u06af\u06cc\u0632 \u0645\u0627\u0646\u0646\u062f \u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 \u0634\u06cc \u0627\u0632 \u06cc\u06a9 \u062a\u0635\u0648\u06cc\u0631 \u060c \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0634\u06a9\u0644 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u060c \u0628\u0627\u0632\u0633\u0627\u0632\u06cc \u0646\u0642\u0634\u0647 \u0633\u0647 \u0628\u0639\u062f\u06cc \u0627\u0632 \u062a\u0635\u0627\u0648\u06cc\u0631 \u0648 \u0633\u0627\u062e\u062a\u0646 \u06cc\u06a9 \u0628\u0631\u0646\u0627\u0645\u0647 \u0648\u0627\u0642\u0639\u06cc\u062a \u0627\u0641\u0632\u0648\u062f\u0647 \u060c \u0627\u06cc\u062c\u0627\u062f \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f \u060c \u0633\u0631\u0627\u0646\u062c\u0627\u0645 \u060c \u0645\u0627 \u0628\u0647 \u0633\u0645\u062a \u067e\u0631\u0648\u0698\u0647 \u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u062a\u0631 \u062d\u0631\u06a9\u062a \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f.\u0645\u0627\u0646\u0646\u062f \u062a\u0634\u062e\u06cc\u0635 \u0698\u0633\u062a \u062f\u0633\u062a\u06cc \u060c \u0631\u062f\u06cc\u0627\u0628\u06cc \u0627\u0634\u06cc\u0627\u0621 \u0628\u0631\u062c\u0633\u062a\u0647 \u0628\u0635\u0631\u06cc \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0634\u0646\u0627\u062e\u062a \u0639\u0644\u0627\u0626\u0645 \u062a\u0631\u0627\u0641\u06cc\u06a9\u06cc \u0648 \u0627\u062d\u0633\u0627\u0633\u0627\u062a \u062f\u0631 \u0686\u0647\u0631\u0647 \u0647\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u0627\u0634\u06cc\u0646 \u0647\u0627\u06cc \u0628\u0631\u062f\u0627\u0631 \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0648 \u0628\u0647 \u062a\u0631\u062a\u06cc\u0628 \u0628\u0647 \u062a\u0631\u062a\u06cc\u0628 \u0686\u0646\u062f \u0644\u0627\u06cc\u0647.
\n\u0627\u06cc\u0646 \u0645\u0633\u06cc\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0628\u0631\u062e\u06cc \u0627\u0632 \u0628\u0647\u062a\u0631\u06cc\u0646 \u0645\u0648\u0627\u0631\u062f\u06cc \u0631\u0627 \u06a9\u0647 PACT \u062f\u0631 \u06cc\u06a9 \u0628\u0633\u062a\u0647 \u06a9\u0627\u0645\u0644 \u0648 \u0633\u0631\u067e\u0648\u0634\u06cc\u062f\u0647 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f \u060c \u062a\u0631\u06a9\u06cc\u0628 \u0645\u06cc \u06a9\u0646\u062f.\u0627\u06cc\u0646 \u0634\u0627\u0645\u0644 \u0645\u062d\u062a\u0648\u0627\u06cc \u0645\u062d\u0635\u0648\u0644\u0627\u062a PACKT \u0632\u06cc\u0631 \u0627\u0633\u062a:
\n\u0686\u0634\u0645 \u0627\u0646\u062f\u0627\u0632 \u0631\u0627\u06cc\u0627\u0646\u0647 OpenCv \u0628\u0627 Python \u062a\u0648\u0633\u0637 \u062c\u0648\u0632\u0641 \u0647\u0627\u0648\u0633
\nOpenCv \u0628\u0627 Python \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644 \u062a\u0648\u0633\u0637 Prateek Joshi
\nOpenCV \u0628\u0627 \u0637\u0631\u062d \u0647\u0627\u06cc Python \u062a\u0648\u0633\u0637 \u0645\u0627\u06cc\u06a9\u0644 Beyelerstyle \u0648 \u0631\u0648\u06cc\u06a9\u0631\u062f
\n\u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0628\u0627 \u0647\u062f\u0641 \u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 \u0645\u0633\u06cc\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0635\u0627\u0641 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u0634\u0645\u0627 \u06cc\u0627\u062f \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0628\u0627 \u0634\u0631\u0648\u0639 \u06a9\u0627\u0631 \u0628\u0627 \u0622\u0646 \u06cc\u0627\u062f \u0628\u06af\u06cc\u0631\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0627 API OpenCV \u0648 OpenCV 3 \u0634\u0631\u0648\u0639 \u06a9\u0646\u06cc\u062f \u0648 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u0639\u0627\u0644\u06cc \u062f\u06cc\u062f \u0631\u0627\u06cc\u0627\u0646\u0647 \u0627\u06cc \u0631\u0627 \u062a\u0648\u0633\u0639\u0647 \u062f\u0647\u06cc\u062f.\u0627\u0632 \u0637\u0631\u06cc\u0642 \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u062c\u0627\u0645\u0639 \u060c \u0634\u0645\u0627 \u06cc\u0627\u062f \u0645\u06cc \u06af\u06cc\u0631\u06cc\u062f \u06a9\u0647 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u062f\u06cc\u062f \u0631\u0627\u06cc\u0627\u0646\u0647 \u0627\u06cc \u0631\u0627 \u0627\u0632 \u0627\u0628\u062a\u062f\u0627 \u062a\u0627 \u067e\u0627\u06cc\u0627\u0646 \u0648 \u0628\u06cc\u0634\u062a\u0631 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f!.
\n
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\r\n\t\t\t\u0634\u0645\u0627\u0631\u0647 \u062a\u0645\u0627\u0633: 09395106248 \r\n\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\t\r\n<\/table>\r\n
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