使用opencv帮助绘图过程的库。想给图片加标签。图像分类等。
opencv-draw-tools-fernaperg的Python项目详细描述
opencv绘图工具
使用opencv帮助绘图过程的库。想给图片加标签。图像等的分类
图像由Intel OpenVino工具包生成，由OpenCVDraw Tools v0.1.9绘制
您需要安装： 您只需执行：
最后，您可以使用以下命令安装库： 安装 首先创建一个selectorcv2对象。您可以传递可选参数来配置输出。 也可以稍后使用方法（所有可选参数）对其进行配置： 现在，每次要添加选定区域时，请调用以下方法： 最后，当您要绘制所有矩形时，请执行： 如果您想多次使用同一个对象，可以很容易地更改其中的内容： 如果需要，可以看到示例detect_faces.py，它还使用一个名为 参见 欢迎加入QQ群-->： 979659372
安装
先决条件
pip install -r requirements.txtpip install opencv-draw-tools-fernapergopencv-draw-tools时，它会自动下载numpy，但不会下载opencv，因为在某些情况下，您需要另一个版本。用法
测试
import opencv_draw_tools as cv2_tools
print('Name: {}\nVersion:{}\nHelp:{}'.format(cv2_tools.name,cv2_tools.__version__,cv2_tools.help))
cv2_tools.webcam_test()
面向对象编程方法
selector = cv2_tools.SelectorCV2(color=(200,90,0), filled=True)
selector.set_properties()
"""
Coordinates:
(x1,y1)____(x2,y1)
| |
| |
(x1,y2)____(x2,y2)
Tags (optional parameter):
* It could be a normal string
* A string with '\n'
* A list of strings
* None / '' / [] / False
"""
selector.add_zone((x1,y1,x2,y2),tags=tag)
edited_frame = selector.draw(frame)
# This method could help change rectangles to
selector.set_range_valid_rectangles( origin, destination)
# This method could help if you know exactly the indexes that you want to keep
# Default = [], so if you just want to clean the buffer call this method without parameters
set_valid_rectangles(indexes)
face_recognition的开源库。手动法
import opencv_draw_tools as cv2_tools
"""
Draw better rectangles to select zones.
Keyword arguments:
frame -- opencv frame object where you want to draw
position -- touple with 4 elements (x1, y1, x2, y2)
This elements must be between 0 and 1 in case it is normalized
or between 0 and frame height/width.
tags -- list of strings/tags you want to associate to the selected zone (default [])
tag_position -- position where you want to add the tags, relatively to the selected zone (default None)
If None provided it will auto select the zone where it fits better:
- First try to put the text on the Bottom Rigth corner
- If it doesn't fit, try to put the text on the Bottom Left corner
- If it doesn't fit, try to put the text Inside the rectangle
- Finally if it doesn't fit, try to put the text On top of the rectangle
alpha -- transparency of the selected zone on the image (default 0.9)
1 means totally visible and 0 totally invisible
color -- color of the selected zone, touple with 3 elements BGR (default (110,70,45) -> dark blue)
BGR = Blue - Green - Red
normalized -- boolean parameter, if True, position provided normalized (between 0 and 1) else you should provide concrete values (default False)
thickness -- thickness of the drawing in pixels (default 2)
filled -- boolean parameter, if True, will draw a filled rectangle with one-third opacity compared to the rectangle (default False)
peephole -- boolean parameter, if True, also draw additional effect, so it looks like a peephole
"""
frame = cv2_tools.select_zone(frame, position, tags=[])
网络摄像头示例
import opencv_draw_tools as cv2_tools
cv2_tools.webcam_test()
webcam_test()代码：def webcam_test():
"""Reproduce Webcam in real time with a selected zone."""
print('Launching webcam test')
cap = cv2.VideoCapture(0)
f_width = cap.get(3)
f_height = cap.get(4)
window_name = 'opencv_draw_tools'
while True:
ret, frame = cap.read()
frame = cv2.flip(frame, 1)
if ret:
keystroke = cv2.waitKey(1)
position = (0.33,0.2,0.66,0.8)
tags = ['MIT License', '(C) Copyright\n Fernando\n Perez\n Gutierrez']
frame = select_zone(frame, position, tags=tags, color=(130,58,14), thickness=2, filled=True, normalized=True)
cv2.imshow(window_name, frame)
# True if escape 'esc' is pressed
if keystroke == 27:
break
cv2.destroyAllWindows()
cv2.VideoCapture(0).release()
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