Add: 2 python apps

Program's_Contributed_By_Contributors/Python_Programs/face-recognition.py

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+import cv2
+import mediapipe as mp
+import time
+
+cap = cv2.VideoCapture(0)
+pTime = 0
+
+mpFaceDetection = mp.solutions.face_detection
+mpDraw = mp.solutions.drawing_utils
+faceDetection = mpFaceDetection.FaceDetection(0.75)
+
+while True:
+    success, img = cap.read()
+
+    imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
+    results = faceDetection.process(imgRGB)
+    print(results)
+
+    if results.detections:
+        for id, detection in enumerate(results.detections):
+            # mpDraw.draw_detection(img, detection)
+            # print(id, detection)
+            # print(detection.score)
+            # print(detection.location_data.relative_bounding_box)
+            bboxC = detection.location_data.relative_bounding_box
+            ih, iw, ic = img.shape
+            bbox = int(bboxC.xmin * iw), int(bboxC.ymin * ih),
+            int(bboxC.width * iw), int(bboxC.height * ih)
+            cv2.rectangle(img, bbox, (255, 0, 255), 2)
+            cv2.putText(img, f'{int(detection.score[0] * 100)}%',
+           (bbox[0], bbox[1] - 20), cv2.FONT_HERSHEY_PLAIN,
+            2, (255, 0, 255), 2)
+
+    cTime = time.time()
+    fps = 1 / (cTime - pTime)
+    pTime = cTime
+    cv2.putText(img, f'FPS: {int(fps)}', (20, 70), cv2.FONT_HERSHEY_PLAIN,
+    3, (0, 255, 0), 2)
+    cv2.imshow("Image", img)
+    cv2.waitKey(1) 

Program's_Contributed_By_Contributors/Python_Programs/urlShortener.py

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+import random
+
+class Codec:
+
+    def encode(self, l):
+        pre,post= l.split('//')
+        pre+='//'
+        uri=post.split('/')
+        domain=uri[0]+'/'
+        uri.pop(0)
+        url='/'.join(uri)        
+        n = random.randint(47890665,99999999) 
+        self.dic={}
+        self.dic['pre']=pre
+        self.dic['domain']=domain
+        self.dic[str(n)] = url
+        s=str(pre)+'tinyurl.com/'+str(n)
+        return s
+
+
+    def decode(self, s):
+        tst,n=s.split('.com/')
+        ans=self.dic['pre']+self.dic['domain']+self.dic[str(n)]        
+        return an