mergevec | Program used to merge .vec files | Machine Learning library
kandi X-RAY | mergevec Summary
kandi X-RAY | mergevec Summary
Update (20/05/15): This approach worked for my purposes, but a few people have raised concerns that using artificial data is not the best way to train a classifier [1]. As such, I would recommend approaching this method with a fair amount of skepticism. Mergevec.py is used to merge .vec files for use in training a cascade classifier with openCV’s opencv_traincascade. This code was made as replacement for mergevec.cpp (created by Naotoshi Seo. See: in order to avoid recompiling opencv with mergevec.cpp.
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Top functions reviewed by kandi - BETA
- Merge all the files in the given directory
- Format an exception response
- Parse arguments
mergevec Key Features
mergevec Examples and Code Snippets
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QUESTION
I am trying to follow this OpenCV exercise http://coding-robin.de/2013/07/22/train-your-own-opencv-haar-classifier.html but got stuck at the step to run mergevec.py (I use Python version instead of .cpp one). I have Python 3 instead of Python 2.x as in the article.
The source for this file is https://github.com/wulfebw/mergevec/blob/master/mergevec.py
The error I got was
...ANSWER
Answered 2019-Oct-20 at 01:48As the OP explains, the file contains binary data. In order to work with binary data:
- The file should be opened in binary mode, by using
'rb'
as the mode in theopen
call. - After opening the file, use
.read()
rather than.readlines()
to read the data. This avoids possible corruption of the data caused by the way.readlines()
handles line ending characters. - Avoid operations such as
.join()
that convert the byte array into a character array (string).
For the code provided in the question, the section of the code to read the images should be:
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Install mergevec
You can use mergevec like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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