self.image_path = filedialog.askopenfilename(title="Select Image", filetypes=(("jpeg files", "*.jpg"), ("all files", "*.*")))
时间: 2023-11-21 20:17:44 浏览: 104
This code opens a file dialog box that allows the user to select an image file (in this case, with a .jpg file extension) and stores the file path as a string in the variable self.image_path. The file types parameter in the filedialog.askopenfilename method limits the files that the user can select to only those with a .jpg extension or all files.
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import tkinter as tk from tkinter import filedialog import pyautogui class Application(tk.Frame): def __init__(self, master=None): super().__init__(master) self.master = master self.pack() self.create_widgets() def create_widgets(self): self.select_button = tk.Button(self) self.select_button["text"] = "选择图片" self.select_button["command"] = self.select_image self.select_button.pack(side="top") self.result_label = tk.Label(self) self.result_label.pack(side="bottom") def select_image(self): # 弹出文件选择对话框选择要查找的图片 file_path = filedialog.askopenfilename(title="选择图片文件", filetypes=[("Image files", "*.png;*.jpg;*.jpeg")]) # 如果选择了图片则查找图片位置 if file_path: location = find_image_location(file_path) if location is not None: self.result_label["text"] = f"图片 {file_path} 的位置坐标为:{location}" else: self.result_label["text"] = f"图片 {file_path} 不存在于桌面" def find_image_location(image_path): # 加载图片并获取图片位置坐标 location = pyautogui.locateOnScreen(image_path) if location is not None: # 获取图片中心点的坐标 x, y = pyautogui.center(location) return (x, y) else: return None root = tk.Tk() app = Application(master=root) app.mainloop()
这段代码是一个 Python GUI 应用程序,它使用 tkinter 模块来创建图形界面。应用程序的主要功能是选择图片文件并在桌面上查找该图片的位置坐标。
应用程序的主类是 Application,它继承自 tkinter.Frame 类。在 __init__ 方法中,它创建了一个顶层窗口 master,并将自身显示在窗口上。在 create_widgets 方法中,它创建了一个按钮和一个标签,并将它们放在窗口上。当用户点击按钮时,它会调用 select_image 方法来选择要查找位置的图片文件。
select_image 方法中,它使用 filedialog 模块弹出一个文件选择对话框,让用户选择要查找位置的图片文件。如果用户选择了图片文件,则调用 find_image_location 方法来查找该图片的位置坐标。如果找到了该图片,则在标签上显示该图片的位置坐标;否则,在标签上显示该图片不存在于桌面。
find_image_location 方法使用 pyautogui 模块来查找图片在屏幕上的位置。它加载图片文件并使用 locateOnScreen 方法来查找该图片在屏幕上的位置。如果找到了该图片,则使用 center 方法来获取图片中心点的坐标,并返回该坐标;否则返回 None。
最后,在主程序中创建一个 Application 实例,并调用主循环来运行应用程序。
报错如何解决,Exception in Tkinter callback Traceback (most recent call last): File "C:\Users\86135\AppData\Local\Programs\Python\Python39\lib\tkinter\__init__.py", line 1892, in __call__ return self.func(*args) File "F:\pycharm\实验5\Demo5_2.py", line 38, in count_cells _, contours, _ = cv2.findContours(self.thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) ValueError: not enough values to unpack (expected 3, got 2)
这个错误是因为cv2库在新的版本中,`cv2.findContours()`函数返回值的格式发生了改变。在旧版本中,返回值是3个,包括轮廓、层次结构和近似轮廓点。而在新版本中,返回值是2个,只包括轮廓和层次结构。
要解决这个错误,可以将代码中的3个变量都替换为2个变量,或者使用新版本cv2库的返回值。以下是两种方法的代码示例:
方法一:将3个变量都替换为2个变量
```python
import cv2
import numpy as np
import tkinter as tk
from tkinter import filedialog
class CellCounter:
def __init__(self):
self.root = tk.Tk()
self.root.title("Cell Counter")
self.root.geometry("400x300")
self.img = None
self.thresh = None
self.count = 0
self.img_label = tk.Label(self.root, text="No image selected")
self.img_label.pack(pady=10)
self.btn_select = tk.Button(self.root, text="Select Image", command=self.select_image)
self.btn_select.pack(pady=10)
self.btn_count = tk.Button(self.root, text="Count Cells", command=self.count_cells)
self.btn_count.pack(pady=10)
self.count_label = tk.Label(self.root, text="Cell Count: 0")
self.count_label.pack(pady=10)
def select_image(self):
path = filedialog.askopenfilename(filetypes=[("Image Files", "*.jpg;*.jpeg;*.png;*.bmp")])
if path:
self.img = cv2.imread(path)
self.img_label.config(text="Image: {}".format(path))
self.thresh = None
self.count = 0
self.count_label.config(text="Cell Count: 0")
def count_cells(self):
if self.img is None:
return
if self.thresh is None:
gray = cv2.cvtColor(self.img, cv2.COLOR_BGR2GRAY)
_, self.thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)
contours, _ = cv2.findContours(self.thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
self.count = len(contours)
self.count_label.config(text="Cell Count: {}".format(self.count))
def run(self):
self.root.mainloop()
if __name__ == "__main__":
app = CellCounter()
app.run()
```
方法二:使用新版本cv2库的返回值
```python
import cv2
import numpy as np
import tkinter as tk
from tkinter import filedialog
class CellCounter:
def __init__(self):
self.root = tk.Tk()
self.root.title("Cell Counter")
self.root.geometry("400x300")
self.img = None
self.thresh = None
self.count = 0
self.img_label = tk.Label(self.root, text="No image selected")
self.img_label.pack(pady=10)
self.btn_select = tk.Button(self.root, text="Select Image", command=self.select_image)
self.btn_select.pack(pady=10)
self.btn_count = tk.Button(self.root, text="Count Cells", command=self.count_cells)
self.btn_count.pack(pady=10)
self.count_label = tk.Label(self.root, text="Cell Count: 0")
self.count_label.pack(pady=10)
def select_image(self):
path = filedialog.askopenfilename(filetypes=[("Image Files", "*.jpg;*.jpeg;*.png;*.bmp")])
if path:
self.img = cv2.imread(path)
self.img_label.config(text="Image: {}".format(path))
self.thresh = None
self.count = 0
self.count_label.config(text="Cell Count: 0")
def count_cells(self):
if self.img is None:
return
if self.thresh is None:
gray = cv2.cvtColor(self.img, cv2.COLOR_BGR2GRAY)
_, self.thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)
_, contours = cv2.findContours(self.thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
self.count = len(contours)
self.count_label.config(text="Cell Count: {}".format(self.count))
def run(self):
self.root.mainloop()
if __name__ == "__main__":
app = CellCounter()
app.run()
```
希望这些方法可以帮助你解决报错问题!
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