Frontend file

vehicle_counting_tensorflow-master/ap.py

+from tkinter import *
+from tkinter.ttk import *
+from tkinter.filedialog import askopenfile
+from PIL import ImageTk, Image
+from vehicle_detection_main import object_detection_function
+
+root = Tk()
+root.title('Highway cctv')
+root.geometry('1100x720')
+
+
+def open_file():
+    file = askopenfile(mode='r', filetypes=[('Excel Files', '*.mov')])
+    if file is not None:
+        source_video = file.name
+        object_detection_function(source_video)
+        print(file.name)
+
+
+btn = Button(root, text='Browse Video File Directory', command=lambda: open_file())
+btn.pack(side=TOP, pady=10)
+
+# img = ImageTk.PhotoImage(Image.open("detected_vehicles/v2.png"))
+# im_lable = Label(image=img)
+# im_lable.pack(side=TOP, pady=5)
+
+# Label(root, text="Please Open Video File to Detect Vehicles").pack(side=TOP, pady=5)
+# Label(root, text="Video File Name - cctv5.mp4 ").pack(side=TOP, pady=5)
+# Label(root, text="--- Last Passed Vehicle Description ---").pack(side=TOP, pady=5)
+# Label(root, text="Vehicle Type - Car;  Color - white;  Speed : 117 kmph  ").pack(side=TOP)
+
+mainloop()