Added necessary files

Author: Tanya-1109

Face_Detection_using_openCV/README.md

@@ -0,0 +1,12 @@
+# Face-Detection-using-OpenCV
+This program helps to detect any moving objects in the frame which further hepls us to understand if any object is moving out of the frame or not.
+
+# Prerequisites
+Any System with a working webcam
+Any System having Python version 3 installed
+
+# Dependencies
+Installed Pandas module
+Installed cv2 module
+Imported time module
+imported Datetime module

Face_Detection_using_openCV/script.py

@@ -0,0 +1,57 @@
+
+import time
+from datetime import datetime
+
+import cv2
+import pandas
+
+video=cv2.VideoCapture(0)
+first_frame=None
+status_list=[None,None]
+time=[]
+df=pandas.DataFrame(columns=["Start","End"])
+cnts= [[0,0], [255,0], [255,255], [0,255]]
+while True:
+    check, frame = video.read()
+    status=0
+    gray=cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
+    gray=cv2.GaussianBlur(gray,(21,21),0)
+    if first_frame is None:
+        first_frame=gray
+        continue
+    delta_frame=cv2.absdiff(first_frame,gray)
+    thresh_data=cv2.threshold(delta_frame,30,255,cv2.THRESH_BINARY)[1]
+    thresh_delta=cv2.dilate(thresh_data,None,iterations=5)
+    (cnts,_) =cv2.findContours(thresh_data.copy(),cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
+    for contour in cnts:
+        if cv2.contourArea(contour)<10000:
+            continue
+        status=1
+        (x,y,w,h)=cv2.boundingRect(contour)
+        cv2.rectangle(frame,(x,y),(x+w,y+h),(0,255,0),3)
+    status_list.append(status)
+    if status_list[-1]==1 and status_list[-2]==0:
+        time.append(datetime.now())
+    if status_list[-1]==0 and status_list[-2]==1:
+        time.append(datetime.now())
+    cv2.imshow("Capturing", gray)
+    cv2.imshow("Delta Frame",delta_frame)
+    cv2.imshow("Threshold Frame",thresh_data)
+    cv2.imshow("Colour Frame",frame)
+
+    
+    key=cv2.waitKey(1)
+    if key==ord('q'):
+        if status==1:
+            time.append(datetime.now())
+        break
+
+
+print(time)
+for i in range(0,len(time),2):
+    df=df.append({"Start":time[i],"End":time[i+1]},ignore_index=True)
+df.to_csv("Times.csv")
+
+video.release()
+cv2.destroyAllWindows
+