Added Human Pose Estimation with webcam😊

Human_Pose_Estimation/README.md

@@ -0,0 +1,12 @@
+# python-pose-estimation
+in this repository we are going to create a python pose estimation
+
+<h1>steps to install:</h1>
+<p>1.download the requirements.txt.</p>
+<p>2.download the droidcam app in your mobile to use it with the mobile cam.</p>
+<p>3.and you can simply use your computer web cam by leaving the brackets blank.</p>
+<p>5.check the cap = cap = cv2.VideoCapture('http://192.168.27.101:4748/video').</p>
+<p>6.change the url to your droidcam url. </p>
+<p>7.run the main.py</p>
+
+you can also use the PoseModule.py it is a simple module

Human_Pose_Estimation/main.py

@@ -0,0 +1,36 @@
+import cv2
+import mediapipe as mp
+import time
+
+
+mpDraw = mp.solutions.drawing_utils
+mpPose = mp.solutions.pose
+pose = mpPose.Pose()#you can change the parameters and change  the settings as you needed.
+
+
+cap = cv2.VideoCapture('http://192.168.0.101:4747/video')#use your droid url
+
+pTime = 0
+
+while True:
+    success, img = cap.read()
+    imgRGB = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
+    results = pose.process(imgRGB)
+    #print(results.pose_landmarks)
+    if results.pose_landmarks:
+        mpDraw.draw_landmarks(img, results.pose_landmarks, mpPose.POSE_CONNECTIONS)
+        for id, lm in enumerate(results.pose_landmarks.landmark):
+            h, w, c = img.shape
+            print(id, lm)
+            cx, cy = int(lm.x * w), int(lm.y * h)
+            cv2.circle(img, (cx, cy), 5, (255, 0, 0), cv2.FILLED)
+
+    cTime = time.time()
+    fps = 2.5/(cTime-pTime)
+    pTime = cTime
+
+    cv2.putText(img, str(int(fps)), (70, 50), cv2.FONT_HERSHEY_PLAIN, 3,
+                (255, 0, 0), 3)
+
+    cv2.imshow("Image", img)
+    cv2.waitKey(1)

Human_Pose_Estimation/requirements.txt

@@ -0,0 +1,2 @@
+opencv-python
+mediapipe