野火EBF6ULL开发板配置python图像处理环境
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平台：野火EBF6ULL开发板
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系统：Debian
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Debian：imx6ull-lubancat-carp-console-armhf-2022-02-10.img
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目标Python版本：Python3.7
注意：此处的操作是在野火EBF6ULL开发板上（运行的是Debian系统），而非虚拟机。
首先 使用apt命令更新索引包
sudo apt-get update
sudo apt-get -y upgrade手动安装python3
sudo apt-get -y install python3查看是否安装成功
python3 -v
//出现以下内容表示安装成功
python 3.7.3安装pip包管理工具
sudo apt-get -y install python3-pip验证安装是否成功
pip3 --version
//出现以下内容表示安装成功
pip 18.1 from /usr/lib/python3/dist-packages/pip (python 3.7)安装相关依赖
sudo apt-get install -y build-essential
sudo apt-get install -y cmake
sudo apt-get install -y pkg-config
sudo apt-get install -y libilmbase23
sudo apt-get install -y libilmbase-dev
sudo apt-get install -y libopenexr23
sudo apt-get install -y libgstreamer1.0-0
sudo apt-get install -y libjpeg-dev
sudo apt-get install -y libtiff5-dev
sudo apt-get install -y libpng-dev
sudo apt-get install -y libavcodec58
sudo apt-get install -y libavformat58
sudo apt-get install -y libswscale5
sudo apt-get install -y git
sudo apt-get install -y wget
sudo apt-get install -y libjasper-dev
安装需要的python包
//安装numpy
wget https://cloud.embedfire.com/software/packages/numpy-1.18.5.zip
pip3 install numpy-1.18.5.zip//安装python-opencv
wget https://cloud.embedfire.com/software/packages/opencv_python-3.4.6.27-cp37-cp37m-linux_armv7l.whl
pip3 install opencv_python-3.4.6.27-cp37-cp37m-linux_armv7l.whl测试环境是否配置成功
测试代码
#检测光斑圆心代码
import cv2
import numpy as np
img = cv2.imread('D:/opencv/yuan/2.png')
GrayImage = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # 灰度化
th1 = cv2.GaussianBlur(GrayImage, (5, 5), 0)
th2 = cv2.adaptiveThreshold(th1, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY, 7, 5)
kernel = np.ones((5, 5), np.uint8) # 创建全一矩阵，数值类型设置为uint8
erosion = cv2.erode(th1, kernel, iterations=1) # 腐蚀处理
dilation = cv2.dilate(erosion, kernel, iterations=1) # 膨胀处理
circles = cv2.HoughCircles(dilation, cv2.HOUGH_GRADIENT, 1, 100, param1=200, param2=30, minRadius=5,
maxRadius=400)
print(circles)
circles = np.uint16(np.around(circles))
print(circles)
P = circles[0] # 去掉circles数组一层外括号
for i in P:
# 画出外圆
cv2.circle(img, (i[0], i[1]), i[2], (0, 150, 0), 2) # 第二参数（）内是圆心坐标，第三参数是半径，第四参数（）内是颜色，第五参数是线条粗细
# 画出圆心
cv2.circle(img, (i[0], i[1]), 2, (0, 0, 255), 3)
X = int(i[0])
Y = int(i[1])
print("圆心坐标为：", (X, Y))
例子用的图像
#出现结果，则表明运行成功
[[[640.5 360.5 41.1]]]
[[[640 360 41]]]
圆心坐标为： (640, 360)如果报错
提示：ImportError: libcblas.so.3: cannot open shared object file: No such file or directory
解决方法，安装依赖
sudo apt-get install libcblas-dev
sudo apt-get install libhdf5-dev
sudo apt-get install libhdf5-serial-dev
sudo apt-get install libatlas-base-dev
sudo apt-get install libjasper-dev
sudo apt-get install libqtgui4
sudo apt-get install libqt4-test