opencv training

This series of articles is designed to learn how to train your classifier based on the Haar-like feature in OpenCV and use that classifier for pattern recognition. The process can be roughly divided into a few big steps: 1. Prepare the training sample picture, including the positive example and the counter sample 2. Generate Sample Description file 3. Training sa

This point of view is for reference only. Nowadays, college graduates say it is difficult to find a job. In fact, it is not because everyone lives too much in college. The computer knowledge they have learned is based on theory, in addition, most colleges and universities have very little computer time. Generally, the knowledge they possess after graduation from a bachelor's degree in computer science is that they can use JSP to write pages, currently, the requirements of software development co

Preface I recently made a digital identification on the card. Call the Caffe module, directly using the Mnist model, but this article does not speak Caffe. Need to first a series of pretreatment of the picture, the number of cards separated out, a bit of OCR feeling. I'll write down all the OPENCV functions I use this time. 1. Read the video cv2. Videocapture () Parameter 1: Can be a number, corresponding to the camera head number. Can be a video nam

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Ubuontu16.04 process and use find_package () error messages caused by installing Opencv library, ubuontu16.04opencv After installing the Opencv library, test whether the Opencv library is successfully installed. The following example shows the corresponding. cpp code and the corresponding cmakelists.txt code: . Cpp file: 1 #include CMakeLists.txt file: 1 cmake_

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names). Negative samples and sample images are also called background samples, or background sample images, which are not distinguished in this document. These images can be of different sizes, but the image size should be larger than the size of the training window, as these images will be used to pick up negative samples and shrink negative samples to the training window size.Here is an example of a desc

It is only one month before 2.4.0 is released. On Children's Day, 2.4.1 was released .... I really can't keep up with the pace. It's a long journey .... The major change was the bug revision. A friend told me earlier that he could not configure Cuda in version 2.3.1. Later he succeeded in version 2.2, it seems that there are still a lot of new version bugs, and we cannot blindly seek new versions. This 2.4.1 version is updated as follows: The GPU module supports cuda4.1 and cuda4.2 versions, a

RTST stream: Using VLC as the RTSP server vlc2.1.2 vs2013+opencv3.0 C++ 1, compile to remember to import VLC Vlc.dll, Vlccore.dll and Plugins folder, these can be downloaded from VLC official website after installation import 2, need to configure the OPENCV in VS2013 #include Resources: VLC to do client-side solution for RTSP bitstream http://blog.csdn.net/q339659207/article/details/38303831 Read MMS Stream for open CV Http://stackoverflow.co

To still Silicon Valley Beijing Java training will be nearly four months, feeling a lot, to say too much too many, and some can be expressed in words, but some can't, can express, I try to say, can't express, with the body and mind to understand, because still Silicon Valley to me feel too different. First of all, I caishuxueqian, there is no lack of written content wrong sentences such errors, but also teachers Haihan, here first thank you.With doubt

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The ninth part of training special networkRemember the 70% training data we lost at the beginning? If we want to get a competitive score on the Kaggle leaderboard, that's not a good idea. In 70% of the data, there are quite a few features we don't see.So before we change the way we train only one model, we train several ad hoc networks, each of which can predict different sets of goals. We train a model to

To still Silicon Valley Beijing Java training will be nearly four months, feeling a lot, to say too much too many, and some can be expressed in words, but some can't, can express, I try to say, can't express, with the body and mind to understand, because still Silicon Valley to me feel too different. First of all, I caishuxueqian, there is no lack of written content wrong sentences such errors, but also teachers Haihan, here first thank you.With doubt

Have to say, the depth of learning framework update too fast, especially to the Keras2.0 version, fast to Keras Chinese version is a lot of wrong, fast to the official document also has the old did not update, the anterior pit too much.To the dispatch, there have been THEANO/TENSORFLOW/CNTK support Keras, although said TensorFlow a lot of momentum, but I think the next keras is the right path.I first learned the Caffe, from the use of, more simple than Caffe, very useful, especially the

1 Training of the classifier Training Cascade classifier Traincascade requires two EXE files in OpenCV, these two files are Opencv_createsamples.exe and Opencv_traincascade.exe files respectively. The training process can be divided into the following steps: (1) Prepare positive and negative

Use the jTessBoxEditor tool for Tesseract3.02.02 sample training to improve the verification code recognition rate and tesseract training samples.1. Background The previous article briefly introduced the installation and basic use of the tesseract ocr engine. It mentioned that using the-l eng parameter to limit the language library can improve the recognition accuracy and efficiency. This article will condu