markdown
參考 https://blog.csdn.net/a1_a1_a/article/details/79981788'
markdown 參考 https://blog.csdn.net/a1_a1_a/article/details/79981788' 原網址的程式碼: ``` from tkinter import * import cv2 from PIL import Image,ImageTk def take_snapshot(): print("有人给你点赞啦！") def video_loop(): success, img = camera.read() # 从摄像头读取照片 if success: cv2.waitKey(1000) cv2image = cv2.cvtColor(img, cv2.COLOR_BGR2RGBA)#转换颜色从BGR到RGBA current_image = Image.fromarray(cv2image)#将图像转换成Image对象 imgtk = ImageTk.PhotoImage(image=current_image) panel.imgtk = imgtk panel.config(image=imgtk) root.after(1, video_loop) camera = cv2.VideoCapture(0) #摄像头 root = Tk() root.title("opencv + tkinter") #root.protocol('WM_DELETE_WINDOW', detector) panel = Label(root) # initialize image panel panel.pack(padx=10, pady=10) root.config(cursor="arrow") btn = Button(root, text="点赞!", command=take_snapshot) btn.pack(fill="both", expand=True, padx=10, pady=10) video_loop() root.mainloop() # 当一切都完成后，关闭摄像头并释放所占资源 camera.release() cv2.destroyAllWindows() ``` --------------------- 作者：荣轩浩 来源：CSDN 原文：https://blog.csdn.net/a1_a1_a/article/details/79981788 版权声明：本文为博主原创文章，转载请附上博文链接！ 加以修改後 ``` # -*- coding: utf-8 -*- """ Created on Fri May 10 17:34:03 2019 @author: User """ from tkinter import * import cv2 from PIL import Image,ImageTk import tkinter as tk # 使用Tkinter前需要先匯入 import tkinter.messagebox # 要使用messagebox先要匯入模組 import time global i i=0 def take_snapshot(): success, img = camera.read() # 从摄像头读取照片 print("拍照") global i cv2.imwrite('photo/BB/'+'photo_'+str(i)+'.jpg',img) i=i+1 def video_loop(): success, img = camera.read() # 从摄像头读取照片 if success: cv2.waitKey(1000) cv2image = cv2.cvtColor(img, cv2.COLOR_BGR2RGBA)#转换颜色从BGR到RGBA current_image = Image.fromarray(cv2image)#将图像转换成Image对象 imgtk = ImageTk.PhotoImage(image=current_image) panel.imgtk = imgtk panel.config(image=imgtk) root.after(1, video_loop) def Recognize(): print("1111") def align_image(img): return alignment.align(96, img, alignment.getLargestFaceBoundingBox(img), landmarkIndices=AlignDlib.OUTER_EYES_AND_NOSE) def load_metadata1(path): metadata1 = [] for i in os.listdir(path): for f in os.listdir(os.path.join(path, i)): # Check file extension. Allow only jpg/jpeg' files. ext = os.path.splitext(f)[1] if ext == '.jpg' or ext == '.jpeg': metadata1.append(IdentityMetadata(path, i, f)) return np.array(metadata1) metadata1 = load_metadata1('photo') for i, m in enumerate(metadata1): img = load_image(m.image_path()) img = align_image(img) # scale RGB values to interval [0,1] img = (img / 255.).astype(np.float32) # obtain embedding vector for image embedded[i] = nn4_small2_pretrained.predict(np.expand_dims(img, axis=0))[0] def distance(emb1, emb2): return np.sum(np.square(emb1 - emb2)) def show_pair(idx1, idx2): x=str(distance(embedded[idx1], embedded[idx2])) print(x) def load_image1(path): img1 = cv2.imread(path, 1) # OpenCV loads images with color channels # in BGR order. So we need to reverse them return img1[...,::-1] #embedded = np.zeros((metadata1.shape[0], 128)) import warnings # Suppress LabelEncoder warning warnings.filterwarnings('ignore') example_idx = i example_image = load_image1(metadata1[example_idx].image_path()) example_prediction = svc.predict([embedded[example_idx]]) show_pair(example_prediction,example_idx) example_identity = encoder.inverse_transform(example_prediction)[0] plt.imshow(example_image) plt.title(f'Recognized as {example_identity}'); localtime = time.asctime( time.localtime(time.time()) ) f = open('A.txt', 'a', encoding = 'UTF-8') f.write(f'時間 : {localtime} ') f.write(f'Recognized as {example_identity}') f.write('\n') f.close() f.close() tkinter.messagebox.showinfo(title='Hi', message=f'Recognized as {example_identity}') # 提示資訊對話窗 ############################################################################# camera = cv2.VideoCapture(0) root = Tk() root.title("Face Recognition") #root.protocol('WM_DELETE_WINDOW', detector) panel = Label(root) # initialize image panel panel.pack(padx=10, pady=10) root.config(cursor="arrow") def combine_funcs(*funcs): def combined_func(*args, **kwargs): for f in funcs: f(*args, **kwargs) return combined_func btn = Button(root, text="辨識", command=combine_funcs(take_snapshot, Recognize)) btn.pack(fill="both", expand=True, padx=10, pady=10) video_loop() root.mainloop() camera.release() cv2.destroyAllWindows() ``` ================================================================== 原先設計拍照一個按鈕，辨識也是一個按鈕，這樣方便測試，後續已完成後合併成一個按鈕，程式碼的部分參考 https://codeday.me/bug/20180830/229722.html ``` def combine_funcs(*funcs): def combined_func(*args, **kwargs): for f in funcs: f(*args, **kwargs) return combined_func self.testButton = Button(self, text = "test", command = combine_funcs(func1, func2)) ``` 另外介面化在python，這裡是用tk來做。
markdown 參考 https://blog.csdn.net/a1_a1_a/article/details/79981788' 原網址的程式碼: ``` from tkinter import * import cv2 from PIL import Image,ImageTk def take_snapshot(): print("有人给你点赞啦！") def video_loop(): success, img = camera.read() # 从摄像头读取照片 if success: cv2.waitKey(1000) cv2image = cv2.cvtColor(img, cv2.COLOR_BGR2RGBA)#转换颜色从BGR到RGBA current_image = Image.fromarray(cv2image)#将图像转换成Image对象 imgtk = ImageTk.PhotoImage(image=current_image) panel.imgtk = imgtk panel.config(image=imgtk) root.after(1, video_loop) camera = cv2.VideoCapture(0) #摄像头 root = Tk() root.title("opencv + tkinter") #root.protocol('WM_DELETE_WINDOW', detector) panel = Label(root) # initialize image panel panel.pack(padx=10, pady=10) root.config(cursor="arrow") btn = Button(root, text="点赞!", command=take_snapshot) btn.pack(fill="both", expand=True, padx=10, pady=10) video_loop() root.mainloop() # 当一切都完成后，关闭摄像头并释放所占资源 camera.release() cv2.destroyAllWindows() ``` --------------------- 作者：荣轩浩 来源：CSDN 原文：https://blog.csdn.net/a1_a1_a/article/details/79981788 版权声明：本文为博主原创文章，转载请附上博文链接！ 加以修改後 ``` # -*- coding: utf-8 -*- """ Created on Fri May 10 17:34:03 2019 @author: User """ from tkinter import * import cv2 from PIL import Image,ImageTk import tkinter as tk # 使用Tkinter前需要先匯入 import tkinter.messagebox # 要使用messagebox先要匯入模組 import time global i i=0 def take_snapshot(): success, img = camera.read() # 从摄像头读取照片 print("拍照") global i cv2.imwrite('photo/BB/'+'photo_'+str(i)+'.jpg',img) i=i+1 def video_loop(): success, img = camera.read() # 从摄像头读取照片 if success: cv2.waitKey(1000) cv2image = cv2.cvtColor(img, cv2.COLOR_BGR2RGBA)#转换颜色从BGR到RGBA current_image = Image.fromarray(cv2image)#将图像转换成Image对象 imgtk = ImageTk.PhotoImage(image=current_image) panel.imgtk = imgtk panel.config(image=imgtk) root.after(1, video_loop) def Recognize(): print("1111") def align_image(img): return alignment.align(96, img, alignment.getLargestFaceBoundingBox(img), landmarkIndices=AlignDlib.OUTER_EYES_AND_NOSE) def load_metadata1(path): metadata1 = [] for i in os.listdir(path): for f in os.listdir(os.path.join(path, i)): # Check file extension. Allow only jpg/jpeg' files. ext = os.path.splitext(f)[1] if ext == '.jpg' or ext == '.jpeg': metadata1.append(IdentityMetadata(path, i, f)) return np.array(metadata1) metadata1 = load_metadata1('photo') for i, m in enumerate(metadata1): img = load_image(m.image_path()) img = align_image(img) # scale RGB values to interval [0,1] img = (img / 255.).astype(np.float32) # obtain embedding vector for image embedded[i] = nn4_small2_pretrained.predict(np.expand_dims(img, axis=0))[0] def distance(emb1, emb2): return np.sum(np.square(emb1 - emb2)) def show_pair(idx1, idx2): x=str(distance(embedded[idx1], embedded[idx2])) print(x) def load_image1(path): img1 = cv2.imread(path, 1) # OpenCV loads images with color channels # in BGR order. So we need to reverse them return img1[...,::-1] #embedded = np.zeros((metadata1.shape[0], 128)) import warnings # Suppress LabelEncoder warning warnings.filterwarnings('ignore') example_idx = i example_image = load_image1(metadata1[example_idx].image_path()) example_prediction = svc.predict([embedded[example_idx]]) show_pair(example_prediction,example_idx) example_identity = encoder.inverse_transform(example_prediction)[0] plt.imshow(example_image) plt.title(f'Recognized as {example_identity}'); localtime = time.asctime( time.localtime(time.time()) ) f = open('A.txt', 'a', encoding = 'UTF-8') f.write(f'時間 : {localtime} ') f.write(f'Recognized as {example_identity}') f.write('\n') f.close() f.close() tkinter.messagebox.showinfo(title='Hi', message=f'Recognized as {example_identity}') # 提示資訊對話窗 ############################################################################# camera = cv2.VideoCapture(0) root = Tk() root.title("Face Recognition") #root.protocol('WM_DELETE_WINDOW', detector) panel = Label(root) # initialize image panel panel.pack(padx=10, pady=10) root.config(cursor="arrow") def combine_funcs(*funcs): def combined_func(*args, **kwargs): for f in funcs: f(*args, **kwargs) return combined_func btn = Button(root, text="辨識", command=combine_funcs(take_snapshot, Recognize)) btn.pack(fill="both", expand=True, padx=10, pady=10) video_loop() root.mainloop() camera.release() cv2.destroyAllWindows() ``` ================================================================== 原先設計拍照一個按鈕，辨識也是一個按鈕，這樣方便測試，後續已完成後合併成一個按鈕，程式碼的部分參考 https://codeday.me/bug/20180830/229722.html ``` def combine_funcs(*funcs): def combined_func(*args, **kwargs): for f in funcs: f(*args, **kwargs) return combined_func self.testButton = Button(self, text = "test", command = combine_funcs(func1, func2)) ``` 另外介面化在python，這裡是用tk來做。
留言
張貼留言