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poseestimator.py
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poseestimator.py
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import cv2 as cv
import mediapipe as mp
import time
import numpy as np
import os
import pandas as pd
mpDraw=mp.solutions.drawing_utils
mpPose=mp.solutions.pose
pose=mpPose.Pose(model_complexity=1, static_image_mode=False,smooth_landmarks=False, min_tracking_confidence=0.8)
#set min_detection_confidence to 0.5(default) or 0.0
#================================================================================================
def calculateangle(a,b,c):
a=np.array(a)
b=np.array(b)
c=np.array(c)
radians=np.arctan2(c[1]-b[1], c[0]-b[0])-np.arctan2(a[1]-b[1], a[0]-b[0])
angle=np.abs(radians*180/np.pi)
if angle>180:
angle=360-angle
return angle
# vid_folder=input("Enter video directory: ")
# angles_folder=input("Enter output directory")
directory = 'C:\\Users\\nithi\\Documents\\NITK research\\Final videos\\Rohler'
right_knee_video_angle_list=dict()
right_hip_video_angle_list=dict()
left_hip_video_angle_list=dict()
left_knee_video_angle_list=dict()
right_elbow_video_angle_list=dict()
right_trunk_video_angle_list=dict()
left_trunk_video_angle_list=dict()
right_shoulder_video_angle_list=dict()
# iterate over files in that directory
for filename in os.listdir(directory):
f = os.path.join(directory, filename)
# checking if it is a file
if os.path.isfile(f):
cap=cv.VideoCapture(f)
prevtime=0
right_knee_angle_list=[]
right_hip_angle_list=[]
left_hip_angle_list=[]
left_knee_angle_list=[]
right_elbow_angle_list=[]
right_trunk_angle_list=[]
left_trunk_angle_list=[]
right_shoulder_angle_list=[]
try:
counter=0
stage=None
while(True):
success, img=cap.read()
imgRGB=cv.cvtColor(img, cv.COLOR_BGR2RGB)
results=pose.process(imgRGB)
try:
landmarks=results.pose_landmarks.landmark
#===============================================================================================================
right_ankle=[landmarks[mpPose.PoseLandmark.RIGHT_ANKLE.value].x,landmarks[mpPose.PoseLandmark.RIGHT_ANKLE.value].y]
right_knee=[landmarks[mpPose.PoseLandmark.RIGHT_KNEE.value].x,landmarks[mpPose.PoseLandmark.RIGHT_KNEE.value].y]
right_hip=[landmarks[mpPose.PoseLandmark.RIGHT_HIP.value].x,landmarks[mpPose.PoseLandmark.RIGHT_HIP.value].y]
left_hip=[landmarks[mpPose.PoseLandmark.LEFT_HIP.value].x,landmarks[mpPose.PoseLandmark.LEFT_HIP.value].y]
left_knee=[landmarks[mpPose.PoseLandmark.LEFT_KNEE.value].x,landmarks[mpPose.PoseLandmark.LEFT_KNEE.value].y]
left_ankle=[landmarks[mpPose.PoseLandmark.LEFT_ANKLE.value].x,landmarks[mpPose.PoseLandmark.LEFT_ANKLE.value].y]
right_shoulder=[landmarks[mpPose.PoseLandmark.RIGHT_SHOULDER.value].x,landmarks[mpPose.PoseLandmark.RIGHT_SHOULDER.value].y]
left_shoulder=[landmarks[mpPose.PoseLandmark.LEFT_SHOULDER.value].x,landmarks[mpPose.PoseLandmark.LEFT_SHOULDER.value].y]
right_elbow=[landmarks[mpPose.PoseLandmark.RIGHT_ELBOW.value].x,landmarks[mpPose.PoseLandmark.RIGHT_ELBOW.value].y]
right_wrist=[landmarks[mpPose.PoseLandmark.RIGHT_WRIST.value].x,landmarks[mpPose.PoseLandmark.RIGHT_WRIST.value].y]
#CALCULATE ANGLES
right_knee_angle=calculateangle(right_ankle,right_knee,right_hip)
right_hip_angle=calculateangle(right_knee,right_hip,left_hip)
left_hip_angle=calculateangle(right_hip,left_hip,left_knee)
left_knee_angle=calculateangle(left_ankle,left_knee,left_hip)
right_elbow_angle=calculateangle(right_shoulder,right_elbow,right_wrist)
right_trunk_angle=calculateangle(right_shoulder,right_hip,right_knee)
left_trunk_angle=calculateangle(left_shoulder,left_hip,left_knee)
right_shoulder_angle=calculateangle(right_hip,right_shoulder,right_elbow)
#VISUALIZE
# cv.putText(img, str(("elbow:",elbow_angle,"\nhip angle:", hip_angle)), (100,80), cv.FONT_HERSHEY_SIMPLEX, 0.5, (255,0,255), 2,cv.LINE_AA)
except:
pass
if results.pose_landmarks:
mpDraw.draw_landmarks(img, results.pose_landmarks, mpPose.POSE_CONNECTIONS, mpDraw.DrawingSpec(color=(245,117,66), thickness=2, circle_radius=2), mpDraw.DrawingSpec(color=(245,66,230), thickness=2, circle_radius=2))
right_knee_angle_list.append(right_knee_angle)
right_hip_angle_list.append(right_hip_angle)
left_hip_angle_list.append(left_hip_angle)
left_knee_angle_list.append(left_knee_angle)
right_elbow_angle_list.append(right_elbow_angle)
right_trunk_angle_list.append(right_trunk_angle)
left_trunk_angle_list.append(left_trunk_angle)
right_shoulder_angle_list.append(right_shoulder_angle)
counter+=1
#DISPLAYING FPS
currtime=time.time()
fps=1/(currtime-prevtime)
prevtime=currtime
cv.putText(img, str(int(fps)), (70,50), cv.FONT_HERSHEY_PLAIN ,3, (255,0,0), 3)
cv.putText(img, str(int(counter)), (70,90), cv.FONT_HERSHEY_PLAIN ,3, (255,0,0), 3)
#================================================================================
cv.imshow('Image', img)
if (cv.waitKey(85) & 0xFF==ord('q')):
break
except:
pass
right_knee_video_angle_list[filename]=right_knee_angle_list
right_hip_video_angle_list[filename]=right_hip_angle_list
left_hip_video_angle_list[filename]=left_hip_angle_list
left_knee_video_angle_list[filename]=left_knee_angle_list
right_elbow_video_angle_list[filename]=right_elbow_angle_list
right_trunk_video_angle_list[filename]=right_trunk_angle_list
left_trunk_video_angle_list[filename]=left_trunk_angle_list
right_shoulder_video_angle_list[filename]=right_shoulder_angle_list
#================================================================================================
right_knee_video_angle_list=pd.DataFrame(right_knee_video_angle_list)
print(right_knee_video_angle_list)
right_knee_video_angle_list.to_csv('Angles2\\rohler\\right_knee_angles.csv')
right_hip_video_angle_list=pd.DataFrame(right_hip_video_angle_list)
print(right_hip_video_angle_list.shape)
right_hip_video_angle_list.to_csv('Angles2\\rohler\\right_hip_angles.csv')
left_hip_video_angle_list=pd.DataFrame(left_hip_video_angle_list)
print(left_hip_video_angle_list.shape)
left_hip_video_angle_list.to_csv('Angles2\\rohler\\left_hip_angles.csv')
left_knee_video_angle_list=pd.DataFrame(left_knee_video_angle_list)
print(left_knee_video_angle_list.shape)
left_knee_video_angle_list.to_csv('Angles2\\rohler\\left_knee_angles.csv')
right_elbow_video_angle_list=pd.DataFrame(right_elbow_video_angle_list)
print(right_elbow_video_angle_list.shape)
right_elbow_video_angle_list.to_csv('Angles2\\rohler\\right_elbow_angles.csv')
right_trunk_video_angle_list=pd.DataFrame(right_trunk_video_angle_list)
print(right_trunk_video_angle_list.shape)
right_trunk_video_angle_list.to_csv('Angles2\\rohler\\right_trunk_angles.csv')
left_trunk_video_angle_list=pd.DataFrame(left_trunk_video_angle_list)
print(left_trunk_video_angle_list.shape)
left_trunk_video_angle_list.to_csv('Angles2\\rohler\\left_trunk_angles.csv')
right_shoulder_video_angle_list=pd.DataFrame(right_shoulder_video_angle_list)
print(right_shoulder_video_angle_list.shape)
right_shoulder_video_angle_list.to_csv('Angles2\\rohler\\right_shoulder_angles.csv')
#================================================================================================