write read me and configure mode

OpenPoseVideo.py

@@ -2,7 +2,7 @@ import cv2
 import time
 import numpy as np
 
-MODE = "MPI"
+MODE = "COCO"
 
 if MODE is "COCO":
     protoFile = "pose/coco/pose_deploy_linevec.prototxt"
@@ -22,7 +22,7 @@ inHeight = 368
 threshold = 0.1
 
 
-input_source = "output-roy.avi"
+input_source = 0
 cap = cv2.VideoCapture(input_source)
 hasFrame, frame = cap.read()
 
@@ -83,8 +83,8 @@ while cv2.waitKey(1) < 0:
 
     cv2.putText(frame, "time taken = {:.2f} sec".format(time.time() - t), (50, 50), cv2.FONT_HERSHEY_COMPLEX, .8, (255, 50, 0), 2, lineType=cv2.LINE_AA)
     # cv2.putText(frame, "OpenPose using OpenCV", (50, 50), cv2.FONT_HERSHEY_COMPLEX, 1, (255, 50, 0), 2, lineType=cv2.LINE_AA)
-    # cv2.imshow('Output-Keypoints', frameCopy)
-    cv2.imshow('Output-Skeleton', frame)
+    cv2.imshow('Output-Keypoints', frameCopy)
+    # cv2.imshow('Output-Skeleton', frame)
 
     vid_writer.write(frame)
 

README.md

 # HumanBody-Skeleton-Detection-using-OpenCV
+
+run:
+ - python OpenPoseVideo.py
+ - python OpenPoseImage.py
+ 
+Configure:
+Eit mode "COCO" or "MPI" in file
+
+Edit variable input_source on file name or if you need use web cam write input_source = 0 
+
+quit = press key q
\ No newline at end of file