def:ardino的pyrobot进入α测试阶段,以log记录和改进list为主,code修改阶段进入openCV的边界识别
在windows先配置了环境,步骤如下:([next]ubunt下再次搭建,这个最终版本目标是Android 系统使用,这个时候plan还再做结构规划中)
[url:http://docs.opencv.org/trunk/doc/py_tutorials/py_setup/py_setup_in_windows/py_setup_in_windows.html#install-opencv-python-in-windows]
ps: openCV是C++源码的,考虑最终速度问题,最后在决定是写c++版本还是python版本,mark一下,之后决定。
在windows先配置了环境,步骤如下:([next]ubunt下再次搭建,这个最终版本目标是Android 系统使用,这个时候plan还再做结构规划中)
Installing OpenCV from prebuilt binaries¶
- Below Python packages are to be downloaded and installed to their default locations.1.1. Python-2.7.x.1.2. Numpy.1.3. Matplotlib (Matplotlib is optional, but recommended since we use it a lot in our tutorials).
- Install all packages into their default locations. Python will be installed to C:/Python27/.
- After installation, open Python IDLE. Enter import numpy and make sure Numpy is working fine.
- Download latest OpenCV release from sourceforge site and double-click to extract it.
- Goto opencv/build/python/2.7 folder.
- Copy cv2.pyd to C:/Python27/lib/site-packeges.
- Open Python IDLE and type following codes in Python terminal.>>> import cv2>>> print cv2.__version__
[url:http://docs.opencv.org/trunk/doc/py_tutorials/py_setup/py_setup_in_windows/py_setup_in_windows.html#install-opencv-python-in-windows]
ps: openCV是C++源码的,考虑最终速度问题,最后在决定是写c++版本还是python版本,mark一下,之后决定。
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