diff --git a/d1/mlb_player_v6.py b/d1/mlb_player_v6.py
new file mode 100644
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+++ b/d1/mlb_player_v6.py
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+# https://raw.githubusercontent.com/hafizas101/Real-time-human-pose-estimation-and-classification/master/main.py
+# From Python
+# It requires OpenCV installed for Python
+import sys
+import cv2
+import os
+from sys import platform
+import argparse
+from math import sqrt, acos, degrees, atan, degrees
+import numpy as np
+
+# ----------------------------------------- Arslan Part ----------------------------------------------------------------------------------
+def get_angle(a,b):
+    #print(a)
+    #print(b)
+    del_y = a[1]-b[1]
+    del_x = b[0]-a[0]
+    if del_x == 0:
+        del_x = 0.1
+    #print("Del_X : "+str(del_x)+"-----Del_Y: "+str(del_y))
+    angle = 0
+
+    if del_x > 0 and del_y > 0:
+        angle = degrees(atan(del_y / del_x))
+    elif del_x < 0 and del_y > 0:
+        angle = degrees(atan(del_y / del_x)) + 180
+
+    return angle
+
+# ------------------------------------------------------------------------------------------------------------------------------------------
+
+# ----------------------------------------- Maksim Part ----------------------------------------------------------------------------------
+
+def angle_gor(a,b,c,d):
+    ab=[a[0]-b[0],a[1]-b[1]]
+    ab1=[c[0]-d[0],c[1]-d[1]]
+    cos=abs(ab[0]*ab1[0]+ab[1]*ab1[1])/(sqrt(ab[0]**2+ab[1]**2)*sqrt(ab1[0]**2+ab1[1]**2))
+    ang = acos(cos)
+    return ang*180/np.pi
+
+
+def sit_ang(a,b,c,d):
+	ang=angle_gor(a,b,c,d)
+	s1=0
+	if ang != None:
+		#print("Angle",ang)
+		if ang < 120 and ang>40:
+			s1=1
+	return s1
+
+def sit_rec(a,b,c,d):
+	ab = [a[0] - b[0], a[1] - b[1]]
+	ab1 = [c[0] - d[0], c[1] - d[1]]
+	l1=sqrt(ab[0]**2+ab[1]**2)
+	l2=sqrt(ab1[0]**2+ab1[1]**2)
+	s=0
+	if l1!=0 and l2!=0:
+		#print(l1,l2, "---------->>>")
+		if l2/l1>=1.5:
+			s=1
+	return s
+
+# ------------------------------------------------------------------------------------------------------------------------------------------
+
+# ----------------------------------------------------------- OpenPose Example Code ----------------------------------------------------------
+
+# Import Openpose (Windows/Ubuntu/OSX)
+dir_path = os.path.dirname(os.path.realpath(__file__))
+try:
+    # Windows Import
+    if platform == "win32":
+        # Change these variables to point to the correct folder (Release/x64 etc.)
+        sys.path.append(dir_path + '/../../python/openpose/Release');
+        os.environ['PATH']  = os.environ['PATH'] + ';' + dir_path + '/../../x64/Release;' +  dir_path + '/../../bin;'
+        import pyopenpose as op
+    else:
+        # Change these variables to point to the correct folder (Release/x64 etc.)
+        sys.path.append('../../python');
+        # If you run `make install` (default path is `/usr/local/python` for Ubuntu), you can also access the OpenPose/python module from there. This will install OpenPose and the python library at your desired installation path. Ensure that this is in your python path in order to use it.
+        # sys.path.append('/usr/local/python')
+        from openpose import pyopenpose as op
+except ImportError as e:
+    print('Error: OpenPose library could not be found. Did you enable `BUILD_PYTHON` in CMake and have this Python script in the right folder?')
+    raise e
+
+# Flags
+parser = argparse.ArgumentParser()
+parser.add_argument("--image_path", default="../../../examples/media/COCO_val2014_000000000192.jpg", help="Process an image. Read all standard formats (jpg, png, bmp, etc.).")
+args = parser.parse_known_args()
+
+# Custom Params (refer to include/openpose/flags.hpp for more parameters)
+params = dict()
+params["model_folder"] = "/home/nvidia/openpose/models/"
+
+# Add others in path?
+for i in range(0, len(args[1])):
+    curr_item = args[1][i]
+    if i != len(args[1])-1: next_item = args[1][i+1]
+    else: next_item = "1"
+    if "--" in curr_item and "--" in next_item:
+        key = curr_item.replace('-','')
+        if key not in params:  params[key] = "1"
+    elif "--" in curr_item and "--" not in next_item:
+        key = curr_item.replace('-','')
+        if key not in params: params[key] = next_item
+
+# Construct it from system arguments
+# op.init_argv(args[1])
+# oppython = op.OpenposePython()
+
+c=0
+# Starting OpenPose
+opWrapper = op.WrapperPython()
+opWrapper.configure(params)
+opWrapper.start()
+
+# ------------------------------------------------------- OUR CONTRIBUTIONS ----------------------------------------------------------------
+
+cam = cv2.VideoCapture(1)
+for i in range(1000):
+	# Process Image
+	datum = op.Datum()
+	s, im = cam.read() # captures image
+	#cv2.imshow("Test Picture", im) # displays captured image
+	#im=cv2.resize(im,(480,270), interpolation = cv2.INTER_AREA)
+	image1 = im
+	#imageToProcess = cv2.imread(args[0].image_path)
+	c+=1
+	if c==8:
+		c=0
+		datum.cvInputData = image1
+		opWrapper.emplaceAndPop([datum])     # OpenPose being applied to the frame image.
+		# Display Image
+		#print("Body keypoints: \n" + str(datum.poseKeypoints))
+		#print(datum.poseKeypoints.shape)
+		if len(datum.poseKeypoints.shape)>=2:
+			x1=0
+			x2=0
+
+			for j in range(len(datum.poseKeypoints)):
+				x1=0
+				x2=0
+				s=0
+				s1=0
+				ang1 = get_angle(datum.poseKeypoints[j][3], datum.poseKeypoints[j][4])
+				ang2 = get_angle(datum.poseKeypoints[j][6], datum.poseKeypoints[j][7])
+				if (30 < ang1 < 150):
+				    x1 = 1
+				if (30 < ang2 < 150):
+				    x2 = 1
+				x3 = x1+x2
+				if (x3 == 1):
+				    print("The {} person says: HELLO !".format(j+1))
+				    #cv2.putText(datum.cvOutputData,'OpenPose using Python-OpenCV',(20,30), cv2.FONT_HERSHEY_SIMPLEX, 1,(255,255,255),1,cv2.LINE_AA)
+				elif (x3 == 2):
+				    print("The {} person says: STOP PLEASE !".format(j+1))
+				s += sit_rec(datum.poseKeypoints[j][9], datum.poseKeypoints[j][10],datum.poseKeypoints[j][10],datum.poseKeypoints[j][11])
+				s += sit_rec(datum.poseKeypoints[j][12], datum.poseKeypoints[j][13],datum.poseKeypoints[j][13],datum.poseKeypoints[j][14])
+				s1+=sit_ang(datum.poseKeypoints[j][9], datum.poseKeypoints[j][10],datum.poseKeypoints[j][10],datum.poseKeypoints[j][11])
+				s1+=sit_ang(datum.poseKeypoints[j][12], datum.poseKeypoints[j][13],datum.poseKeypoints[j][13],datum.poseKeypoints[j][14])
+				if s > 0 or s1>0:
+				    print("The {} person is sitting".format(j+1))
+				if s == 0 and s1 == 0:
+				    print("The {} person is standing".format(j+1))
+			print("___________________________")
+			print("      ")
+			im=cv2.resize(datum.cvOutputData,(960,540), interpolation = cv2.INTER_AREA)
+			cv2.imshow("OpenPose 1.4.0 - Tutorial Python API", im)
+			cv2.waitKey(1)
+
+
+# ------------------------------------------------------------------------------------------------------------------------------------------