Hog Svm Opencv Python

But first, one big shout-out to Dalal and Triggs for their great work on the HOG (Histogram of Oriented Gradients) descriptor! If you still don't know about it, it is worth to check it out. In this tutorial, we’ll see how to create and launch a face detection algorithm in Python using OpenCV and Dlib. Contribute to VladKha/object_detector development by creating an account on GitHub. Vehicle Detection using OpenCV and SVM classifier. opencv image-processing svm object-detection | this question asked Apr 16 '15 at 4:18 sachinTS 16 3 You have to extract the HOG features from the test image as well. The technique counts occurrences of gradient orientation in localized portions of an image. I'm using the Python wrappers for OpenCV. Lecture 2: The SVM classifier C19 Machine Learning Hilary 2015 A. Align to block size and block stride. opencv hog svm train Search and download opencv hog svm train open source project / source codes from CodeForge. See the bold line. HOGDescriptor(). OpenCV-Python Tutorials. There are a number of enquiries about the people detection video I did a while ago. Instead of HOG, i would like to extract from my object color histograms(for example), but i couldn't find any information about it for OpenCV, everywhere is using HOG. Here's the link to a Great Paper by Dalal & Triggs on using HOGs for Human Detection:. 学習により、切り出した画像中にHOG特徴の有無を判定できるSVMを作成します。. 1、HOGを使用した有用な検出に問題があります。私はエラーなしで実行する作業コードを持っていますが、訓練. Python版OpenCVでは読み込んだ画像データはNumPy配列(ndarray)に格納されます。 HoG SVM: 人検出. cpp 파일을 열어서 분석하면 된다. [Post invitado] Part 3. OpenCVは本当に便利ですね. さまざまなツールが内包されていますが,その中でも機械学習に関する部分をいじってみようと思い,SVMに手をつけました.. A +1 before the filename indicates a file that contains a pedestrian, while -1 indicates that there are no pedestrians. png) 実行方法 python hog_svm_2cla…. #!/usr/bin/python # The contents of this file are in the public domain. I'm using a HOG descriptor, coupled with a SVM classifier, to recognise humans in pictures. A local neighborhood of P pixels results in a 2 P-bin histogram. Face detection using OpenCV and Python: A beginner's guide. ) – a-Jays Apr 16 '15 at 6:17. Finally, the. In Python, it works correctly, however, in C++ it is showing completely incorrect results. But first, one big shout-out to Dalal and Triggs for their great work on the HOG (Histogram of Oriented Gradients) descriptor! If you still don't know about it, it is worth to check it out. [Post invitado] Part 3. png) 実行方法 python hog_svm_2cla…. Local Binary Pattern(LBP) in sklearn library in Python. #!/usr/bin/python # The contents of this file are in the public domain. Training and Testing an SVM using OpenCV. OpenCV is the de-facto standard C/C++ library for image and vision processing extensively used by computer vision community to create desktop and embedded applications. The following are code examples for showing how to use cv2. Implement: Opencv with the HOGDescriptor::compute, one can compute the HOG of the given image. There are a number of requests of the code I adopt the OpenCV people detection sample. Facial landmarks with dlib, OpenCV, and Python. A digital image in its simplest form is just a matrix of pixel intensity values. Hi everyone, I´m doing some image processing tasks with my Jetson. Under the hood, OpenCV uses LIBSVM. h" #include "highgui. OpenCVでHOGを求めて、scikit-imageのSVMで学習できますが、dlibを使う方が容易です。 dlib を使って、HOG特徴とSVMによる学習を使った物体検出. 4以降ではJavaが公式にサポートされている 。OpenCV 2. 0 SVMのサンプルのPython版 - sieste31の日記. Handwritten Digits Classification : An OpenCV ( C++ / Python ) Tutorial. More than 1 year has passed since last update. He worked on various interesting data science problems during his stint at Retail analytics and Sports analytics startups such as customer profiling, optimizing store layout, live prediction of winning odds of sports teams (soccer & tennis). SVM multiclass consists of a learning module (svm_multiclass_learn) and a classification module (svm_multiclass_classify). Parameter: filename – Nama file. Parameter: filename - Nama file. This will load all images in the dataset pedestrian_train, extract HOG descriptors, train the classifier and save it to the file hog. xml")から読み込む. このページの最初でも述べたように,saveおよびloadの機能を利用するためには,OpenCVのソースを修正する必要がある.. Hi everyone, I´m doing some image processing tasks with my Jetson. perspectiveTransform() with Python. svm(支持向量机)是一种常用的机器学习分类算法。本课程使用hog+svm算法和opencv实现一个图片分类器,通过自己训练分类器,达到可以判断任意图片是否是猫咪的效果。. opencv︱opencv中实现行人检测:HOG+SVM(二) - CSDN博客. Local Binary Pattern(LBP) in sklearn library in Python. Method 1: Computing HOG features per frame and creating HOG feature Python, OpenCV, Svm. je veux utiliser HOG pour détecter d'autres types d'objets dans les images (pas seulement les piétons). In this lesson we reviewed the parameters to the detectMultiScale function of the HOG descriptor and SVM detector. 在 OpenCV 2. One of the most popular and successful "person detectors" out there right now is the HOG with SVM approach. x still uses the C API. Extracción de características HoG utilizando OpenCV; c - utilizando OpenCV y SVM con imágenes; matlab - descriptor de HOG para la detección de objetos; c - Obtener puntaje de clasificación SVM en clasificación multiclase con OpenCV; python - Detección de objetos en imágenes (HOG) python-2. Using OpenCV GPU HOG with Jetson TK1. I tried to keep the code in both the implementations quite the same. I have implemented HOG face detector in Python and C++ using OpenCV. x = True # The trainer is a kind of support vector machine and. soというファイルをsite-packages 以下 dlibはHoG+SVM を使っている. cpp sample code, to detect the objects you want to detect. The classification module can be used to apply the learned model to new examples. More than 1 year has passed since last update. OpenCV (version 3. py", line 110, in preprocess_hog return np. cpp #include #include #include "opencv2/opencv. OpenCVでSVMとHOG特徴量を使って人を検出するのを試みてみる。. Stackoverflow. OpenCVでHOG特徴量を求め,それに基づき人を検出する.OpenCVには人検出用に学習された識別器がすでに存在しているので簡単にできる. 入力画像 出力画像 main. See the bold line. Here, before finding the HOG, we deskew the image using. python opencv machine-learning svm opencv3. cpp 파일을 열어서 분석하면 된다. Cependant, la liaison Python de HOGDetectMultiScale ne semble pas donner accès aux fonctionnalités réelles de HOG. txt # # # This is an example illustrating the use of a binary SVM classifier tool from # the dlib C++ Library. face_locationsのデフォルトモデルはHOG+SVMですが、model引数にcnnを指定してあげるとCNNでの顔検出となります。 PythonでOpenCV. image – Gambar yang akan disimpan. soというファイルをsite-packages 以下 dlibはHoG+SVM を使っている. Get HOG image features from OpenCV + Python? then it's easy to use libsvm or scikits. OpenCV cuenta con un modelo HOG + Linear SVM preentrenado basado en el método Dalal y Triggs que se puede utilizar para realizar la detección de peatones tanto en imágenes como en secuencias de video. python實現hog+svm訓練的網上很多,但是資源svm訓練這一塊都是通過skimage這個庫來實現的,本文從hog特徵提取到svm的訓練,以及後面的測試都是通過調用opencv來實現的,這樣對於基於opencv來做開發的話較爲方便,python+opencv通常是在建模的時候會用到,這主要是python腳本語言的高效性。. Hi everyone! For this post I will give you guys a quick and easy tip on how to use a trained SVM classifier on the HOG object detector from OpenCV. Here's the link to a Great Paper by Dalal & Triggs on using HOGs for Human Detection:. Developer Center Resources to get you started with Algorithmia. In this chapter, we will cover the following - Selection from OpenCV with Python Blueprints [Book]. opencv训练注意事项; OpenCV的HOG+SVM训练程序注意事项; OpenCV的HOG+SVM训练程序注意事项; opencv SVM 训练行人检测器注意事项; opencv SVM 训练行人检测器注意事项; 乒乓球训练注意事项; 采用opencv_cascadetrain进行训练的步骤及注意事项; 采用opencv_cascadetrain进行训练的步骤及. In kNN, we directly used pixel intensity as the feature vector. (HOG) is a feature descriptor used in computer vision and image processing for the purpose of object detection. 在opencv里面,有一个预先训练好了的hog+线性svm模型,能够对图像和视频中的行人进行检测。如果你还不熟悉方向梯度直方图hog和线性svm方法,我建议你阅读方向梯度直方图和物体检测这篇文章,在这篇文章中,我对该框架分了6步进行讨论。. More than 1 year has passed since last update. (HOG) feature. Here in this post we are going to build a object detector using HOG+SVM model. Ich habe ein Projekt, mit dem ich Objekte in den Bildern erkennen möchte; Mein Ziel ist es, HOG-Funktionen zu nutzen. Did you know that OpenCV has built-in methods to perform pedestrian detection? OpenCV ships with a pre-trained HOG + Linear SVM model that can be used to perform pedestrian detection in both images and video streams. One example uses support vector machines (SVM) and features called histograms of oriented gradients (HOG). What is my pipeline for extracting features, training an SVM, and then running it on the test databas. Developer Center Resources to get you started with Algorithmia. The headers are in the include. openCV(HOG特徴量+SVM) OpenCVの「cv2. OpenCVで人物検出を行ってみました。 以下のサイトを参考にさせて頂きました 【Python/OpenCV】人の体全体を検出してみた 【Python/OpenCV】人の体全体を検出してみた用語の確認 【HOG】 Histogram of Oriented Gradientsの略で、局所領域の輝度の勾配方向をヒストグラ…. I'm using a HOG descriptor, coupled with a SVM classifier, to recognise humans in pictures. load()メソッドによりファイル(ここでは,"xvm_image. There are a number of approaches available to retrieve visual data from large databases. 4; Results log for HOG SVM using OpenCV 4. If you are not aware of the multi-classification problem below are examples of multi-classification problems. Key Features Practical coverage of every image processing task with popular Python libraries Includes topics - Selection from Hands-On Image Processing with Python [Book]. The first step is to download and build the latest OpenCV 2. 0 Uses in Robotics and AR Gary Bradski VP Perception and Core Software, Magic Leap Director: OpenCV Foundation Infilling 1. If you set P=10, then the feature vector would have 1024 components. In this chapter, we will cover the following - Selection from OpenCV with Python Blueprints [Book]. 需要提醒的是,HOG+SVM进行行人检测的方法是法国研究人员Dalal在2005的CVPR上提出的,而如今虽然有很多行人检测算法不断提出,但基本都是以HOG+SVM的思路为主。行人检测OpenCV中自己带的训练模版里面有行人检测,我们可以直接调用了。. Only then, you can use the peopledetector. And save descriptors to XML file. Cependant, la liaison Python de HOGDetectMultiScale ne semble pas donner accès aux fonctionnalités réelles de HOG. Align to block size and block stride. A digital image in its simplest form is just a matrix of pixel intensity values. 「OpenCVとVisual C++による画像処理と認識(13)」では、カスケード分類器CascadeClassifierクラスからスタートし、haarcascade_frontalface_default. Emotion Recognition With Python, OpenCV and a Face Dataset. Finally, the. I use the XCode 4 in OSX Lion with OpenCV 2. OpenCV History • Original goal: –Accelerate the field by lowering the bar to computer vision –Find compelling uses for the increasing MIPS out in the market. У меня проблема с полезным обнаружением с использованием Python, OpenCV 3. Search for: Home Raspberry Pi Tutorials Bundle Guide to ESP Arduino OpenCV (c++) OpenCV (python) SVM + HOG DEEP Learning VM About Me Contact. Lecture 2: The SVM classifier C19 Machine Learning Hilary 2015 A. OpenCVでHOG特徴量を求め,それに基づき人を検出する.OpenCVには人検出用に学習された識別器がすでに存在しているので簡単にできる. 入力画像 出力画像 main. This post is the fourth in a series on developing a HOG-based SVM with OpenCV-Python for detecting objects in a video. ifstream svm_data( "E:/SVM_DATA. python+opencv实现hog+svm的训练 04-03 阅读数 1万+ python实现hog+svm训练的网上很多,但是资源svm训练这一块都是通过skimage这个库来实现的,本文从hog特征提取到svm的训练,以及后面的测试都是通过调用opencv来实现的,这样. 0 Uses in Robotics and AR Gary Bradski VP Perception and Core Software, Magic Leap Director: OpenCV Foundation Infilling 1. Hi all, is there a simple way to create an image that shows the extracted HOG features? I would like to show something like. *I would also be willing to write the above function in C++ if I can write the HoG output to a file and then work with it in Python. In this chapter, we will cover the following - Selection from OpenCV with Python Blueprints [Book]. OpenCV dapat berjalan di berbagai bahasa pemrograman seperti C, C++, Java, Python. dataset file contains a list of filenames and the class of each image. Satya Mallick. He worked on various interesting data science problems during his stint at Retail analytics and Sports analytics startups such as customer profiling, optimizing store layout, live prediction of winning odds of sports teams (soccer & tennis). 不能使用opencv的hog描述子来计算和训练,否则在预测的时候会出现数据维度或格式错误’ HOG特征的长度是跟图像的尺寸有关的,所以在计算HOG特征之前要统一resize到固定尺寸才行。虽然HOG特征计算时声称,只跟. Hi, I am trying to train a car detector using the HOG descriptor in OpenCV2. Learning to Recognize Traffic Signs The goal of this chapter is to train a multiclass classifier to recognize traffic signs. Hi everyone! For this post I will give you guys a quick and easy tip on how to use a trained SVM classifier on the HOG object detector from OpenCV. One of the most popular and successful "person detectors" out there right now is the HOG with SVM approach. Pedestrian detection is an important component of many Advanced Driver Assistance Solutions (ADAS). There are a number of enquiries about the people detection video I did a while ago. est - il possible d'utiliser Python + OpenCV pour extraire les traits de porc directement de n'importe quelle image?. And save descriptors to XML file. OpenCV 3 image and video processing with Python OpenCV 3 with Python Image - OpenCV BGR : Matplotlib RGB Basic image operations - pixel access iPython - Signal Processing with NumPy Signal Processing with NumPy I - FFT and DFT for sine, square waves, unitpulse, and random signal Signal Processing with NumPy II - Image Fourier Transform : FFT & DFT. python实现hog+svm训练的网上很多,但是资源svm训练这一块都是通过skimage这个库来实现的,本文从hog特征提取到svm的训练,以及后面的测试都是通过调用opencv来实现的,这样对于基于opencv来做开发的话较为方便,python+opencv通常是在建模的时候会用到,这主要是python脚本语言的高效性。. opencv hog特征+svm分类器行人识别(从训练到识别) 代码注解详细,适合初学者读懂,压缩包内含两部程序,请仔细研读,opencv hog特征+svm分类器行人识别(从训练到识别). Check out this post for some example code that should get you up and running quickly with the HOG person detector, using a webcam as the video source. HOG Detector in OpenCV. xml 整个过程大概需要5分钟左右,看个人电脑配置,若想. 流程:HoG SVM 目标检测分析 - klitech - 博客园 C语言实现:利用hog+svm(梯度方向直方图和支持向量机)实现物体检测 - 确定有穷自动机 - CSDN博客 车标识别:opencv学习笔记(七)SVM+HOG - 阿玛尼迪迪 - 博客园…. dataset file contains a list of filenames and the class of each image. 0) was used for implementation. There also exists BOW class in opencv. У меня проблема с полезным обнаружением с использованием Python, OpenCV 3. txt # # # This is an example illustrating the use of a binary SVM classifier tool from # the dlib C++ Library. HOG+SVMで人物検出【OpenCV & Python】 OpenCVとDaimler Pedestrian Detection Datasetによる歩行者検知 Support Vector Machine(SVM)は聞いたことあるけどHOGは知らなかったので調べましたが。. OpenCV-Python Tutorials. cv2 bindings incompatible with numpy. The following are code examples for showing how to use cv2. SVMについてはHOG特徴量とSVM はじめに Pythonユーザーなので AnacondaにOpenCVをインストール しました。 特に問題なし。. Retrain the fault positive with the training set again. I've used the excellent tutorial at pymagesearch, which explains what the algorithm does and furnishes hints on how to set the parameters of the detectMultiScale method. Reply Delete. x, OpenCV now uses the much nicer C++ API. Python is most easy and simple language. However, I am getting different results in both. HOG Descriptor in Octave / MATLAB. c++ code에서 HOG + SVM training 방법이 궁금하다면, opencv 소스에서 train_HOG. Key Features Practical coverage of every image processing task with popular Python libraries Includes topics - Selection from Hands-On Image Processing with Python [Book]. We trained a Linear SVM with the HOG features of each sample and tested our code on 2. The efficiency of this modified approach plays a key-role on low-cost ARM (smartphone, RaspberryPi). Machine Learning with OpenCV. cv2 bindings incompatible with numpy. python+opencv实现hog+svm的训练 04-03 阅读数 1万+ python实现hog+svm训练的网上很多,但是资源svm训练这一块都是通过skimage这个库来实现的,本文从hog特征提取到svm的训练,以及后面的测试都是通过调用opencv来实现的,这样. They are extracted from open source Python projects. hpp" int main(int argc, con…. 2066 人学过 156 人关注 作者: 付晓亮. This time we will use Histogram of Oriented Gradients (HOG) as feature vectors. h" #include "stdafx. OpenCV merupakan libaty yang digunakan untuk mengolah gambar dan video untuk dapat meng-ekstrak informasi didalamnya. Four age groups, six emotions and two gender types. OpenCV cuenta con un modelo HOG + Linear SVM preentrenado basado en el método Dalal y Triggs que se puede utilizar para realizar la detección de peatones tanto en imágenes como en secuencias de video. Parameters: image - Matrix of type CV_8U containing an image where objects should be detected. Of all, Haarcascades and HOG+SVM are very popular and best known for their performance. You can checkout my previous post if you need a starting point. For each frame Create HOG scale pyramid of the frame image. Here, before finding the HOG, we deskew the image using its second order moments. Hi everyone, I´m doing some image processing tasks with my Jetson. The training score is much higher than the testing score, this is a problem of overfitting. Any help in this area would be greatly appreciated. Pedestrian detection is also used in video surveillance systems, and many other computer vision applications. txt" ); //首先,这里搞一个文件列表,把训练样本图片的路径都写在这个txt文件中,使用bat批处理文件可以得到这个txt文件 unsigned long n;. #!/usr/bin/python # The contents of this file are in the public domain. Neyseki OPENCV içerisinde halihazırda eğitilmiş HOG + Linear SVM modeli mevcut. Tracking Pedestrians with HOG-SVM with OpenCV / scikit-image. OpenCV is a highly optimized library with focus on real-time applications. Last week we discussed how to use OpenCV and Python to perform pedestrian detection. Object Detection using HOG as descriptor and Linear SVM as classifier. je veux utiliser HOG pour détecter d'autres types d'objets dans les images (pas seulement les piétons). Did you know that OpenCV has built-in methods to perform pedestrian detection? OpenCV ships with a pre-trained HOG + Linear SVM model that can be used to perform pedestrian detection in both images and video streams. OpenCV on Wheels. Satya Mallick. dual degree program from IIT Kanpur. Extracción de características HoG utilizando OpenCV; c - utilizando OpenCV y SVM con imágenes; matlab - descriptor de HOG para la detección de objetos; c - Obtener puntaje de clasificación SVM en clasificación multiclase con OpenCV; python - Detección de objetos en imágenes (HOG) python-2. Model guides OpenCV. Here I describe how a support vector machine (svm) can be trained for a dataset containing positive and negative examples of the object to detected. Using OpenCV GPU HOG with Jetson TK1. Align to block size and block stride. Autonomous Cars: Computer Vision and Deep Learning. (2)设置 SVM 的参数. Step 2) Detect HOG features of the training sample and use this features to train an SVM classifier (also provided in OpenCV). HOG Person Detector Tutorial 09 May 2013. Datascience. A digital image in its simplest form is just a matrix of pixel intensity values. One more technique is to create Bag of visual words. SVMについてはHOG特徴量とSVM はじめに Pythonユーザーなので AnacondaにOpenCVをインストール しました。 特に問題なし。. est - il possible d'utiliser Python + OpenCV pour extraire les traits de porc directement de n'importe quelle image?. Computer vision with OpenCV Machine Learning with Scikit-Learn. This is the help page with code from openCV Object Detection Here is a page with example code Example source code of extract HOG feature from images, save descriptor values to xml file, using opencv (using HOGDescriptor ) Further samples of stac. This time we will use Histogram of Oriented Gradients (HOG) as feature vectors. videofacerec. OpenCV cuenta con un modelo HOG + Linear SVM preentrenado basado en el método Dalal y Triggs que se puede utilizar para realizar la detección de peatones tanto en imágenes como en secuencias de video. It also discusses the performance of an SVM and Random Forest Classifiers, and some pointers. image - Gambar yang akan disimpan. By making use of the sample provided in the official opencv repo to train the SVM with HOG, train_HOG. Opencv build and install Visual Studio 2017 Contri Simple Install opencv Visual Studio 2017 by NUGET; Helping on stackoverflow with tracking and people Tracking and Train SVM detector with HOG features March (4) January (4) 2016 (39) December (6) November (5) October (6). Training and Testing an SVM using OpenCV. Under the hood, OpenCV uses LIBSVM. Pyconjp 2014 OpenCVのpythonインターフェース入門 ではアルゴリズムの解説とともに、Pythonによる「HOG+SVM による人検出器」の. python实现hog+svm训练的网上很多,但是资源svm训练这一块都是通过skimage这个库来实现的,本文从hog特征提取到svm的训练,以及后面的测试都是通过调用opencv来实现的,这样对于基于opencv来做开发的话较为方便,python+opencv通常是在建模的时候会用到,这主要是python脚本语言的高效性。. The training score is much higher than the testing score, this is a problem of overfitting. OpenCV cuenta con un modelo HOG + Linear SVM preentrenado basado en el método Dalal y Triggs que se puede utilizar para realizar la detección de peatones tanto en imágenes como en secuencias de video. HOG特徴量とSVMを使った自動車の検出 こちらの記事のコードを動かしてみましたが、何点か修正が必要だったので差分だけ記載します。 環境構築 # Python2. Local Binary Pattern(LBP) in sklearn library in Python. HOG Detector in OpenCV. OpenCV includes a class for running the HOG person detector on an image. Step 3) Use the coefficients of the trained SVM classifier in HOGDescriptor::setSVMDetector() method. block_size: Block size in pixels. Command line arguments. OpenCV (version 3. learn to train SVM classifiers to do recognition on new HoG features. But the result of HOG descriptor size is 3780 (similar to paper) but the. 論文 Histograms of Oriented Gradients for Human Detection. They are extracted from open source Python projects. OpenCV Hog+SVM 学习 Hog +SVM 训练10K个图片数据得到分类器:HOG_SVM_DATA. OpenCV Python program for Vehicle detection in a Video frame Face Detection Basics The objective of the program given is to detect object of interest(Car) in video frames and to keep tracking the same object. svm + hog算法,做行人识别,效果其实不错的,和haar +adaboost应该有得比,在dm3730 arm + dsp 双核的,我实现了两种方法,感觉svm+hog速度慢了点,haar + adaboost 速度还可以,做了行人识别, 分类器自己训练的,18个 stage那样,640X480. LIBSVM tools provides many extensions of LIBSVM. opencv hog特征+svm分类器行人识别(从训练到识别) 代码注解详细,适合初学者读懂,压缩包内含两部程序,请仔细研读,opencv hog特征+svm分类器行人识别(从训练到识别). 予め学習されたSVMのパラメータを,svm. x still uses the C API. SVMについてはHOG特徴量とSVM はじめに Pythonユーザーなので AnacondaにOpenCVをインストール しました。 特に問題なし。. We trained a Linear SVM with the HOG features of each sample and tested our code on 2. OCR of Hand-written Digits (HOG) as feature vectors. Python findFundamentalMat. Here, before finding the HOG, we deskew the image using its second order moments. One more technique is to create Bag of visual words. A practical guide to SVM classification is available now! (mainly written for beginners). OpenCV HOGDescripter Python - Stack Overflow. This script requires two command line arguments. Handwritten Digits Classification : An OpenCV ( C++ / Python ) Tutorial. Python + openCV でラベリング&疑似カラー OpenCVとDaimler Pedestrian Detection Datasetによる歩行者検… OpenCVには HOG+SVM を用いた人. As mentioned in the first post, it's quite easy to move from detecting faces in images to detecting them in video via a webcam - which is exactly what we will detail in this post. 在标记的图像训练集上进行面向梯度的直方图(hog)特征提取并训练分类器线性svm分类器 应用颜色转换,并将分箱的颜色特征以及颜色的直方图添加到hog特征矢量中 对于上面两个步骤,不要忘记标准化您的功能,并随机选择一个用于训练和测试的选项 实施. I'm using the Python wrappers for OpenCV. Hog Svm Opencv Python.