Face dect (pranjay-poddar#2828)

* Added Face Detection

* README.md Updatedx1

* README.md Updatedx2

* README.md Updatedx3

* Face Detection Successfully Created

Author: SyedImtiyaz-1

Face_Detection/Protect.py

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+import face_recognition
+import cv2
+import numpy as qt
+import pyautogui
+from selenium import webdriver
+import time
+import os
+
+
+gmail = "ENTER GMAIL HERE"
+password = "ENTER PASSWORD HERE"
+
+video_capture = cv2.VideoCapture(0)
+
+root_image = face_recognition.load_image_file("YOUR PHOTO PATH")
+root_encoding = face_recognition.face_encodings(root_image)[0]
+
+
+known_face_encodings = [
+    root_encoding,
+]
+known_face_names = [
+    "YOUR NAME",
+]
+
+while True:
+    ret, frame = video_capture.read()
+
+    rgb_frame = frame[:, :, ::-1]
+
+    face_locations = face_recognition.face_locations(rgb_frame)
+    face_encodings = face_recognition.face_encodings(rgb_frame, face_locations)
+    name = "Unknown"
+
+    for (top, right, bottom, left), face_encoding in zip(face_locations, face_encodings):
+        # See if the face is a match for the known face(s)
+        matches = face_recognition.compare_faces(known_face_encodings, face_encoding)
+
+        face_distances = face_recognition.face_distance(known_face_encodings, face_encoding)
+        best_match_index = qt.argmin(face_distances)
+        if matches[best_match_index]:
+            name = known_face_names[best_match_index]
+
+        cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2)
+
+        cv2.rectangle(frame, (left, bottom - 35), (right, bottom), (0, 0, 255), cv2.FILLED)
+        font = cv2.FONT_HERSHEY_DUPLEX
+        cv2.putText(frame, name, (left + 6, bottom - 6), font, 1.0, (255, 255, 255), 1)
+    if name != "YOUR NAME":
+        driver = webdriver.Chrome(executable_path="CHROME DRIVER PATH")
+        driver.get("https://www.google.com/android/find")
+        time.sleep(2)
+        pyautogui.typewrite(gmail)
+        pyautogui.press("enter")
+        time.sleep(2)
+        pyautogui.typewrite(password)
+        pyautogui.press("enter")
+        time.sleep(5)
+        pyautogui.click(x=85,y=231)
+        time.sleep(2)
+        pyautogui.click(x=200,y=495)
+        pyautogui.hotkey('ctrlleft', 'altleft', 'l')
+
+    else:
+        print("Welcome BOSS")
+        os.system("gnome-terminal")
+
+    # Display the resulting image
+    cv2.imshow('Video', frame)
+
+
+# Release handle to the webcam
+video_capture.release()
+cv2.destroyAllWindows()

Face_Detection/README.md

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+# FaceRecognitionSecurity
+Protect your Computer against strangers ! If foreigners want to log in to your computer, ring your phone and lock the computer screen automatically.
+## Features
+
+Face Recognition in Live Camera
+
+
+## Installation
+### Requirements
+• Python 3.3+ or Python 2.7
+
+• macOS or Linux (Windows not officially supported, but might work)
+
+• For Install "face_recognition and dlib" 
+
+• Chrome Driver : https://chromedriver.chromium.org/downloads
+
+## Usage
+![github-small](obama.png)
+
+• Change GMAIL,PASSWORD,DRIVER LOCATION and PHOTO LOCATION in Protect.py 
+
+```
+If you don't have a photo run 'python Take Photo.py' and Press SPACE for Take Photo.
+Else run 'python Protect.py'
+```
+
+• If Camera Detect Your Face Open a new Terminal.Otherwise The Phone Will Ring Even If It is Silent.
+
+• Connect to the Google Android Find My Phone and Click the Ring the Phone Button and Lock the Screen.
+
+
+
+
+

Face_Detection/Take Photo.py

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+import cv2
+
+cam = cv2.VideoCapture(-1)
+
+cv2.namedWindow("test")
+
+img_counter = 0
+
+while True:
+    ret, frame = cam.read()
+    cv2.imshow("test", frame)
+    if not ret:
+        break
+    k = cv2.waitKey(1)
+
+    if k%256 == 27:
+        # ESC pressed
+        print("Escape hit, closing...")
+        break
+    elif k%256 == 32:
+        # SPACE pressed
+        img_name = "opencv_frame_{}.png".format(img_counter)
+        cv2.imwrite(img_name, frame)
+        print("{} written!".format(img_name))
+        img_counter += 1
+
+cam.release()
+
+cv2.destroyAllWindows()