经常会遇到json报文中有图片URL,以及ROI的坐标x、y、w、h,然后需要验证下这个框在图片的什么位置,一般时候只能根据坐标值定性目测下。最近用tkinter写了个打开本地图片并且将rect的坐标值标注在图片上的工具,这样就可以实现定量的分析了。Python需要的第三方库有:pillow,opencv。至于tkinter的那些基本知识,我就不提了。直接上代码吧。
from tkinter import *
from time import *
import tkinter.filedialog
import io
import cv2
from PIL import Image, ImageTk
root = Tk()
w_box = 1280
h_box = 640
root.title('RectOnPic Tool')
root.geometry('1280x640')
e = StringVar()
# print(e)
e_entry = Entry(root, textvariable=e)
e_entry.grid(row=6, column=1, padx=10, pady=5)
# print(e_entry.get())
# root.resizable(0,0)
Label1 = Label(root, text='X:').grid(row=0, column=0)
Label2 = Label(root, text='Y:').grid(row=1, column=0)
v1 = StringVar()
p1 = StringVar()
v1.set(0)
p1.set(0)
submit_button = Button(root, text="选择文件", command=root.quit)
Label3 = Label(root, text='W:').grid(row=3, column=0)
Label4 = Label(root, text='H').grid(row=4, column=0)
v2 = StringVar()
p2 = StringVar()
v2.set(0)
p2.set(0)
e1 = Entry(root, textvariable=v1)
e2 = Entry(root, textvariable=p1)
e1.grid(row=0, column=1, padx=10, pady=5)
e2.grid(row=1, column=1, padx=10, pady=5)
e3 = Entry(root, textvariable=v2)
e4 = Entry(root, textvariable=p2)
e3.grid(row=3, column=1, padx=10, pady=5)
e4.grid(row=4, column=1, padx=10, pady=5)
global imgGl
imgGl = Label(root, image=None)
imgGl.place(x=300, y=0)
def resize(w_box, h_box, pil_image):
w, h = pil_image.size
f1 = 1.0 * w_box / w
f2 = 1.0 * h_box / h
factor = min([f1, f2])
width = int(w * factor)
height = int(h * factor)
return pil_image.resize((width, height), Image.ANTIALIAS)
def choose_file():
selectFileName = tkinter.filedialog.askopenfilename(title='选择文件')
# print(selectFileName)
e.set(selectFileName)
def showImg(img1):
imgGl.config(image='')
load = Image.open(img1)
pil_image_resized = resize(w_box, h_box, load)
render = ImageTk.PhotoImage(pil_image_resized)
imgGl.image = render
imgGl.config(image=render)
def showImgAgain(img2):
img = cv2.imread(img2)
x = float(e1.get())
y = float(e2.get())
w = float(e3.get())
h = float(e4.get())
size = img.shape
sz0 = size[0]
sz1 = size[1]
cv2.rectangle(img, (int(x * sz1), int(y * sz0)), (int((x + w) * sz1), int((y + h) * sz0)), (0, 255, 0), 4)
cv2.imwrite('completed.jpg', img)
showImg('completed.jpg')
Button(root, text='退出', width=10, command=root.quit)\
.grid(row=9, column=0, sticky=W, padx=10, pady=5)
Button(root, text="选择文件", width=10, command=choose_file)\
.grid(row=6, column=0, sticky=W, padx=10, pady=5)
Button(root, text="显示图片", width=10,command=lambda: showImg(e_entry.get()))\
.grid(row=7, column=0, sticky=W, padx=10, pady=5)
Button(root, text="画坐标框", width=10,command=lambda: showImgAgain(e_entry.get()))\
.grid(row=8, column=0, sticky=W, padx=10, pady=5)
mainloop()
建议用pycharm的开发环境打开,代码跑的结果如下:

如果想生成EXE文件,可以pip install pyinstaller 然后打开命令窗口执行下pyinstaller -F -w xxx.py 即可。