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functions.py
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import cv2
import mediapipe as mp
import numpy as np
import simplejpeg
mp_drawing = mp.solutions.drawing_utils
mp_pose = mp.solutions.pose
def calculate_angle(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*180.0/np.pi)
if angle >180.0:
angle = 360-angle
return angle
def biceps(cap):
counter = 20
stage = None
with mp_pose.Pose(min_detection_confidence=0.5, min_tracking_confidence=0.5) as pose:
while cap.isOpened():
NULL, frame = cap.read()
image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
image.flags.writeable = False
results = pose.process(image)
try:
landmarks = results.pose_landmarks.landmark
left_shoulder = [landmarks[mp_pose.PoseLandmark.LEFT_SHOULDER.value].x,landmarks[mp_pose.PoseLandmark.LEFT_SHOULDER.value].y]
left_elbow = [landmarks[mp_pose.PoseLandmark.LEFT_ELBOW.value].x,landmarks[mp_pose.PoseLandmark.LEFT_ELBOW.value].y]
left_wrist = [landmarks[mp_pose.PoseLandmark.LEFT_WRIST.value].x,landmarks[mp_pose.PoseLandmark.LEFT_WRIST.value].y]
right_shoulder = [landmarks[mp_pose.PoseLandmark.RIGHT_SHOULDER.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_SHOULDER.value].y]
right_elbow = [landmarks[mp_pose.PoseLandmark.RIGHT_ELBOW.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_ELBOW.value].y]
right_wrist = [landmarks[mp_pose.PoseLandmark.RIGHT_WRIST.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_WRIST.value].y]
left_elbow_text = [landmarks[mp_pose.PoseLandmark.LEFT_ELBOW.value].x-0.008,landmarks[mp_pose.PoseLandmark.LEFT_ELBOW.value].y+0.008]
right_elbow_text = [landmarks[mp_pose.PoseLandmark.RIGHT_ELBOW.value].x-0.008,landmarks[mp_pose.PoseLandmark.RIGHT_ELBOW.value].y+0.008]
left_angle = calculate_angle(left_shoulder, left_elbow, left_wrist)
right_angle = calculate_angle(right_shoulder, right_elbow, right_wrist)
if left_angle > 140 and right_angle > 140:
stage = "down"
if left_angle < 30 and stage =='down' and right_angle < 30:
stage="up"
counter +=1
except:
pass
image.flags.writeable = True
image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
cv2.line(image, tuple(np.multiply(right_shoulder, [1280, 720]).astype(int)), tuple(np.multiply(right_elbow, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.line(image, tuple(np.multiply(right_elbow, [1280, 720]).astype(int)), tuple(np.multiply(right_wrist, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.circle(image, tuple(np.multiply(right_wrist, [1280, 720]).astype(int)), 20, (255,165,0), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(right_wrist, [1280, 720]).astype(int)), 25, (255,165,0), 2)
cv2.circle(image, tuple(np.multiply(right_elbow, [1280, 720]).astype(int)), 30, (255,165,0), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(right_elbow, [1280, 720]).astype(int)), 35, (255,165,0), 2)
cv2.circle(image, tuple(np.multiply(right_shoulder, [1280, 720]).astype(int)), 20, (255,165,0), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(right_shoulder, [1280, 720]).astype(int)), 25, (255,165,0), 2)
cv2.line(image, tuple(np.multiply(left_shoulder, [1280, 720]).astype(int)), tuple(np.multiply(left_elbow, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.line(image, tuple(np.multiply(left_elbow, [1280, 720]).astype(int)), tuple(np.multiply(left_wrist, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.circle(image, tuple(np.multiply(left_wrist, [1280, 720]).astype(int)), 20, (255,165,0), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(left_wrist, [1280, 720]).astype(int)), 25, (255,165,0), 2)
cv2.circle(image, tuple(np.multiply(left_elbow, [1280, 720]).astype(int)), 30, (255,165,0), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(left_elbow, [1280, 720]).astype(int)), 35, (255,165,0), 2)
cv2.circle(image, tuple(np.multiply(left_shoulder, [1280, 720]).astype(int)), 20, (255,165,0), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(left_shoulder, [1280, 720]).astype(int)), 25, (255,165,0), 2)
left_per = np.interp(left_angle, (30, 160), (100, 0))
left_bar = np.interp(left_angle, (30, 160), (100, 650))
left_color = (0, 165, 255)
if left_per == 100:
left_color = (0, 128, 0)
if left_per == 0:
left_color = (0, 0, 255)
right_per = np.interp(right_angle, (30, 160), (100, 0))
right_bar = np.interp(right_angle, (30, 160), (100, 650))
right_color = (0, 165, 255)
if right_per == 100:
right_color = (0, 128, 0)
if right_per == 0:
right_color = (0, 0, 255)
whole_color = (0, 135, 255)
if left_per == 100 and right_per == 100:
whole_color = (0, 128, 0)
if left_per == 0 and right_per == 0:
whole_color = (0, 0, 255)
cv2.rectangle(image, (100, 100), (175, 650), right_color, 3)
cv2.rectangle(image, (100, int(right_bar)), (175, 650), right_color, cv2.FILLED)
#cv2.rectangle(image, (475,0), (800,100), whole_color, -1)
#cv2.putText(image, 'REPS', (510,15), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255,255,255), 1, cv2.LINE_AA)
#cv2.putText(image, str(counter), (510,85) if counter < 10 else (490,85), cv2.FONT_HERSHEY_SIMPLEX, 2, (255,255,255), 2, cv2.LINE_AA)
#cv2.putText(image, 'STAGE', (675,15), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255,255,255), 1, cv2.LINE_AA)
#cv2.putText(image, stage, (620,85) if stage == "down" else (660,85), cv2.FONT_HERSHEY_SIMPLEX, 2, (255,255,255), 2, cv2.LINE_AA)
cv2.circle(image, (400,90), 85, (0, 0, 0), cv2.FILLED)
cv2.circle(image, (880,90), 85, (0, 0, 0), cv2.FILLED)
cv2.circle(image, (400,90), 80, whole_color, cv2.FILLED)
cv2.circle(image, (880,90), 80, whole_color, cv2.FILLED)
cv2.putText(image, 'REPS', (359,130), cv2.FONT_HERSHEY_SIMPLEX, 1, (255,255,255), 1, cv2.LINE_AA)
cv2.putText(image, str(counter), (380,85) if counter < 10 else (360,85), cv2.FONT_HERSHEY_SIMPLEX, 2, (255,255,255), 2, cv2.LINE_AA)
cv2.putText(image, 'STAGE', (833,130), cv2.FONT_HERSHEY_SIMPLEX, 1, (255,255,255), 1, cv2.LINE_AA)
cv2.putText(image, stage, (820,85) if stage == "down" else (850,85), cv2.FONT_HERSHEY_SIMPLEX, 1.5, (255,255,255), 2, cv2.LINE_AA)
cv2.rectangle(image, (1100, 100), (1175, 650), left_color, 3)
cv2.rectangle(image, (1100, int(left_bar)), (1175, 650), left_color, cv2.FILLED)
cv2.putText(image, str(round(left_angle)),
tuple(np.multiply(left_elbow_text, [1280, 720]).astype(int)),
cv2.FONT_HERSHEY_DUPLEX, 0.5, (255, 255, 255), 2, cv2.LINE_AA
)
cv2.putText(image, str(round(right_angle)),
tuple(np.multiply(right_elbow_text, [1280, 720]).astype(int)),
cv2.FONT_HERSHEY_DUPLEX, 0.5, (255, 255, 255), 2, cv2.LINE_AA
)
jpeg = simplejpeg.encode_jpeg(image, colorspace = "BGR")
yield (b'--frame\r\n'
b'Content-Type: image/jpeg\r\n\r\n' + jpeg + b'\r\n\r\n')
def przysiad(cap):
counter = 0
stage = None
with mp_pose.Pose(min_detection_confidence=0.5, min_tracking_confidence=0.5) as pose:
while cap.isOpened():
NULL, frame = cap.read()
image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
image.flags.writeable = False
results = pose.process(image)
try:
landmarks = results.pose_landmarks.landmark
left_hip = [landmarks[mp_pose.PoseLandmark.LEFT_HIP.value].x,landmarks[mp_pose.PoseLandmark.LEFT_HIP.value].y]
left_knee = [landmarks[mp_pose.PoseLandmark.LEFT_KNEE.value].x,landmarks[mp_pose.PoseLandmark.LEFT_KNEE.value].y]
left_ankle = [landmarks[mp_pose.PoseLandmark.LEFT_ANKLE.value].x,landmarks[mp_pose.PoseLandmark.LEFT_ANKLE.value].y]
right_hip = [landmarks[mp_pose.PoseLandmark.RIGHT_HIP.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_HIP.value].y]
right_knee = [landmarks[mp_pose.PoseLandmark.RIGHT_KNEE.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_KNEE.value].y]
right_ankle = [landmarks[mp_pose.PoseLandmark.RIGHT_ANKLE.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_ANKLE.value].y]
right_knee_text = [landmarks[mp_pose.PoseLandmark.RIGHT_KNEE.value].x-0.008,landmarks[mp_pose.PoseLandmark.RIGHT_KNEE.value].y+0.008]
left_knee_text = [landmarks[mp_pose.PoseLandmark.LEFT_KNEE.value].x-0.008,landmarks[mp_pose.PoseLandmark.LEFT_KNEE.value].y+0.008]
left_angle = calculate_angle(left_hip, left_knee, left_ankle)
right_angle = calculate_angle(right_hip, right_knee, right_ankle)
if left_angle > 160 and right_angle > 160 and stage=="down":
stage = "up"
counter += 1
elif left_angle > 160 and right_angle > 160:
stage = "up"
if left_angle < 120 and stage =='up' and right_angle < 120:
stage = "down"
except:
pass
image.flags.writeable = True
image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
cv2.line(image, tuple(np.multiply(right_hip, [1280, 720]).astype(int)), tuple(np.multiply(right_knee, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.line(image, tuple(np.multiply(right_knee, [1280, 720]).astype(int)), tuple(np.multiply(right_ankle, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.circle(image, tuple(np.multiply(right_hip, [1280, 720]).astype(int)), 20, (50,205,50), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(right_hip, [1280, 720]).astype(int)), 25, (50,205,50), 2)
cv2.circle(image, tuple(np.multiply(right_knee, [1280, 720]).astype(int)), 30, (50,205,50), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(right_knee, [1280, 720]).astype(int)), 35, (50,205,50), 2)
cv2.circle(image, tuple(np.multiply(right_ankle, [1280, 720]).astype(int)), 20, (50,205,50), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(right_ankle, [1280, 720]).astype(int)), 25, (50,205,50), 2)
cv2.line(image, tuple(np.multiply(left_hip, [1280, 720]).astype(int)), tuple(np.multiply(left_knee, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.line(image, tuple(np.multiply(left_knee, [1280, 720]).astype(int)), tuple(np.multiply(left_ankle, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.circle(image, tuple(np.multiply(left_hip, [1280, 720]).astype(int)), 20, (50,205,50), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(left_hip, [1280, 720]).astype(int)), 25, (50,205,50), 2)
cv2.circle(image, tuple(np.multiply(left_knee, [1280, 720]).astype(int)), 30, (50,205,50), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(left_knee, [1280, 720]).astype(int)), 35, (50,205,50), 2)
cv2.circle(image, tuple(np.multiply(left_ankle, [1280, 720]).astype(int)), 20, (50,205,50), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(left_ankle, [1280, 720]).astype(int)), 25, (50,205,50), 2)
left_per = np.interp(left_angle, (120, 160), (0, 100))
left_bar = np.interp(left_angle, (120, 160), (100, 650))
left_color = (0, 165, 255)
if left_per == 100:
left_color = (0, 0, 255)
if left_per == 0:
left_color = (0, 128, 0)
right_per = np.interp(right_angle, (120, 160), (0, 100))
right_bar = np.interp(right_angle, (120, 160), (100, 650))
right_color = (0, 165, 255)
if right_per == 100:
right_color = (0, 0, 255)
if right_per == 0:
right_color = (0, 128, 0)
whole_color = (0, 165, 255)
if left_per == 100 and right_per == 100:
whole_color = (0, 0, 255)
if left_per == 0 and right_per == 0:
whole_color = (0, 128, 0)
cv2.rectangle(image, (100, 100), (175, 650), right_color, 3)
cv2.rectangle(image, (100, int(right_bar)), (175, 650), right_color, cv2.FILLED)
cv2.circle(image, (400,90), 85, (0, 0, 0), cv2.FILLED)
cv2.circle(image, (880,90), 85, (0, 0, 0), cv2.FILLED)
cv2.circle(image, (400,90), 80, whole_color, cv2.FILLED)
cv2.circle(image, (880,90), 80, whole_color, cv2.FILLED)
cv2.putText(image, 'REPS', (359,130), cv2.FONT_HERSHEY_SIMPLEX, 1, (255,255,255), 1, cv2.LINE_AA)
cv2.putText(image, str(counter), (380,85) if counter < 10 else (360,85), cv2.FONT_HERSHEY_SIMPLEX, 2, (255,255,255), 2, cv2.LINE_AA)
cv2.putText(image, 'STAGE', (833,130), cv2.FONT_HERSHEY_SIMPLEX, 1, (255,255,255), 1, cv2.LINE_AA)
cv2.putText(image, stage, (820,85) if stage == "down" else (850,85), cv2.FONT_HERSHEY_SIMPLEX, 1.5, (255,255,255), 2, cv2.LINE_AA)
cv2.rectangle(image, (1100, 100), (1175, 650), left_color, 3)
cv2.rectangle(image, (1100, int(left_bar)), (1175, 650), left_color, cv2.FILLED)
cv2.putText(image, str(round(left_angle)),
tuple(np.multiply(left_knee_text, [1280, 720]).astype(int)),
cv2.FONT_HERSHEY_DUPLEX, 0.5, (255, 255, 255), 2, cv2.LINE_AA
)
cv2.putText(image, str(round(right_angle)),
tuple(np.multiply(right_knee_text, [1280, 720]).astype(int)),
cv2.FONT_HERSHEY_DUPLEX, 0.5, (255, 255, 255), 2, cv2.LINE_AA
)
jpeg = simplejpeg.encode_jpeg(image, colorspace = "BGR")
yield (b'--frame\r\n'
b'Content-Type: image/jpeg\r\n\r\n' + jpeg + b'\r\n\r\n')
def pompka(cap):
counter = 0
stage = None
with mp_pose.Pose(min_detection_confidence=0.5, min_tracking_confidence=0.5) as pose:
while cap.isOpened():
NULL, frame = cap.read()
image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
image.flags.writeable = False
results = pose.process(image)
try:
landmarks = results.pose_landmarks.landmark
left_shoulder = [landmarks[mp_pose.PoseLandmark.LEFT_SHOULDER.value].x,landmarks[mp_pose.PoseLandmark.LEFT_SHOULDER.value].y]
left_elbow = [landmarks[mp_pose.PoseLandmark.LEFT_ELBOW.value].x,landmarks[mp_pose.PoseLandmark.LEFT_ELBOW.value].y]
left_wrist = [landmarks[mp_pose.PoseLandmark.LEFT_WRIST.value].x,landmarks[mp_pose.PoseLandmark.LEFT_WRIST.value].y]
right_shoulder = [landmarks[mp_pose.PoseLandmark.RIGHT_SHOULDER.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_SHOULDER.value].y]
right_elbow = [landmarks[mp_pose.PoseLandmark.RIGHT_ELBOW.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_ELBOW.value].y]
left_ankle = [landmarks[mp_pose.PoseLandmark.LEFT_ANKLE.value].x,landmarks[mp_pose.PoseLandmark.LEFT_ANKLE.value].y]
right_wrist = [landmarks[mp_pose.PoseLandmark.LEFT_WRIST.value].x,landmarks[mp_pose.PoseLandmark.LEFT_WRIST.value].y]
right_ankle = [landmarks[mp_pose.PoseLandmark.RIGHT_ANKLE.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_ANKLE.value].y]
left_hip = [landmarks[mp_pose.PoseLandmark.LEFT_HIP.value].x,landmarks[mp_pose.PoseLandmark.LEFT_HIP.value].y]
right_hip = [landmarks[mp_pose.PoseLandmark.RIGHT_HIP.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_HIP.value].y]
left_knee = [landmarks[mp_pose.PoseLandmark.LEFT_KNEE.value].x,landmarks[mp_pose.PoseLandmark.LEFT_KNEE.value].y]
right_knee = [landmarks[mp_pose.PoseLandmark.RIGHT_KNEE.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_KNEE.value].y]
left_angle = calculate_angle(left_shoulder, left_elbow, left_wrist)
right_angle = calculate_angle(right_shoulder, right_elbow, right_wrist)
big_angle = calculate_angle(left_wrist, left_shoulder, left_ankle)
right_elbow_text = [landmarks[mp_pose.PoseLandmark.RIGHT_ELBOW.value].x-0.008,landmarks[mp_pose.PoseLandmark.RIGHT_ELBOW.value].y+0.008]
left_elbow_text = [landmarks[mp_pose.PoseLandmark.LEFT_ELBOW.value].x-0.008,landmarks[mp_pose.PoseLandmark.LEFT_ELBOW.value].y+0.008]
if left_angle > 150 and right_angle > 150 and big_angle > 30 and stage == "down":
stage = "up"
counter += 1
elif left_angle > 150 and right_angle > 150 and big_angle > 30:
stage = "up"
if left_angle < 110 and stage =='up' and right_angle < 110 and big_angle > 30:
stage = "down"
except:
pass
image.flags.writeable = True
image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
cv2.line(image, tuple(np.multiply(right_shoulder, [1280, 720]).astype(int)), tuple(np.multiply(right_elbow, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.line(image, tuple(np.multiply(right_elbow, [1280, 720]).astype(int)), tuple(np.multiply(right_wrist, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.line(image, tuple(np.multiply(right_shoulder, [1280, 720]).astype(int)), tuple(np.multiply(right_hip, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.line(image, tuple(np.multiply(right_knee, [1280, 720]).astype(int)), tuple(np.multiply(right_hip, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.line(image, tuple(np.multiply(right_knee, [1280, 720]).astype(int)), tuple(np.multiply(right_ankle, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.circle(image, tuple(np.multiply(right_wrist, [1280, 720]).astype(int)), 20, (65,105,225), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(right_wrist, [1280, 720]).astype(int)), 25, (65,105,225), 2)
cv2.circle(image, tuple(np.multiply(right_knee, [1280, 720]).astype(int)), 20, (65,105,225), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(right_knee, [1280, 720]).astype(int)), 25, (65,105,225), 2)
cv2.circle(image, tuple(np.multiply(right_hip, [1280, 720]).astype(int)), 20, (65,105,225), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(right_hip, [1280, 720]).astype(int)), 25, (65,105,225), 2)
cv2.circle(image, tuple(np.multiply(right_wrist, [1280, 720]).astype(int)), 20, (65,105,225), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(right_wrist, [1280, 720]).astype(int)), 25, (65,105,225), 2)
cv2.circle(image, tuple(np.multiply(right_elbow, [1280, 720]).astype(int)), 30, (65,105,225), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(right_elbow, [1280, 720]).astype(int)), 35, (65,105,225), 2)
cv2.circle(image, tuple(np.multiply(right_shoulder, [1280, 720]).astype(int)), 20, (65,105,225), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(right_shoulder, [1280, 720]).astype(int)), 25, (65,105,225), 2)
cv2.circle(image, tuple(np.multiply(right_ankle, [1280, 720]).astype(int)), 20, (65,105,225), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(right_ankle, [1280, 720]).astype(int)), 25, (65,105,225), 2)
cv2.line(image, tuple(np.multiply(left_shoulder, [1280, 720]).astype(int)), tuple(np.multiply(left_elbow, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.line(image, tuple(np.multiply(left_elbow, [1280, 720]).astype(int)), tuple(np.multiply(left_wrist, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.line(image, tuple(np.multiply(left_shoulder, [1280, 720]).astype(int)), tuple(np.multiply(left_hip, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.line(image, tuple(np.multiply(left_knee, [1280, 720]).astype(int)), tuple(np.multiply(left_hip, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.line(image, tuple(np.multiply(left_knee, [1280, 720]).astype(int)), tuple(np.multiply(left_ankle, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.circle(image, tuple(np.multiply(left_wrist, [1280, 720]).astype(int)), 20, (65,105,225), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(left_wrist, [1280, 720]).astype(int)), 25, (65,105,225), 2)
cv2.circle(image, tuple(np.multiply(left_elbow, [1280, 720]).astype(int)), 30, (65,105,225), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(left_elbow, [1280, 720]).astype(int)), 35, (65,105,225), 2)
cv2.circle(image, tuple(np.multiply(left_knee, [1280, 720]).astype(int)), 20, (65,105,225), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(left_knee, [1280, 720]).astype(int)), 25, (65,105,225), 2)
cv2.circle(image, tuple(np.multiply(left_hip, [1280, 720]).astype(int)), 20, (65,105,225), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(left_hip, [1280, 720]).astype(int)), 25, (65,105,225), 2)
cv2.circle(image, tuple(np.multiply(left_shoulder, [1280, 720]).astype(int)), 20, (65,105,225), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(left_shoulder, [1280, 720]).astype(int)), 25, (65,105,225), 2)
cv2.circle(image, tuple(np.multiply(left_ankle, [1280, 720]).astype(int)), 20, (65,105,225), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(left_ankle, [1280, 720]).astype(int)), 25, (65,105,225), 2)
left_per = np.interp(left_angle, (110, 150), (0, 100))
left_bar = np.interp(left_angle, (110, 150), (100, 650))
left_color = (0, 165, 255)
if left_per == 100:
left_color = (0, 0, 255)
if left_per == 0:
left_color = (0, 128, 0)
right_per = np.interp(right_angle, (110, 150), (0, 100))
right_bar = np.interp(right_angle, (110, 150), (100, 650))
right_color = (0, 165, 255)
if right_per == 100:
right_color = (0, 0, 255)
if right_per == 0:
right_color = (0, 128, 0)
whole_color = (0, 165, 255)
if left_per == 100 and right_per == 100:
whole_color = (0, 128, 0)
if left_per == 0 and right_per == 0:
whole_color = (0, 0, 255)
cv2.rectangle(image, (100, 100), (175, 650), right_color, 3)
cv2.rectangle(image, (100, int(right_bar)), (175, 650), right_color, cv2.FILLED)
cv2.circle(image, (400,90), 85, (0, 0, 0), cv2.FILLED)
cv2.circle(image, (880,90), 85, (0, 0, 0), cv2.FILLED)
cv2.circle(image, (400,90), 80, whole_color, cv2.FILLED)
cv2.circle(image, (880,90), 80, whole_color, cv2.FILLED)
cv2.putText(image, 'REPS', (359,130), cv2.FONT_HERSHEY_SIMPLEX, 1, (255,255,255), 1, cv2.LINE_AA)
cv2.putText(image, str(counter), (380,85) if counter < 10 else (360,85), cv2.FONT_HERSHEY_SIMPLEX, 2, (255,255,255), 2, cv2.LINE_AA)
cv2.putText(image, 'STAGE', (833,130), cv2.FONT_HERSHEY_SIMPLEX, 1, (255,255,255), 1, cv2.LINE_AA)
cv2.putText(image, stage, (820,85) if stage == "down" else (850,85), cv2.FONT_HERSHEY_SIMPLEX, 1.5, (255,255,255), 2, cv2.LINE_AA)
cv2.rectangle(image, (1100, 100), (1175, 650), left_color, 3)
cv2.rectangle(image, (1100, int(left_bar)), (1175, 650), left_color, cv2.FILLED)
cv2.putText(image, str(round(left_angle)),
tuple(np.multiply(left_elbow_text, [1280, 720]).astype(int)),
cv2.FONT_HERSHEY_DUPLEX, 0.5, (255, 255, 255), 2, cv2.LINE_AA
)
cv2.putText(image, str(round(right_angle)),
tuple(np.multiply(right_elbow_text, [1280, 720]).astype(int)),
cv2.FONT_HERSHEY_DUPLEX, 0.5, (255, 255, 255), 2, cv2.LINE_AA
)
jpeg = simplejpeg.encode_jpeg(image, colorspace = "BGR")
yield (b'--frame\r\n'
b'Content-Type: image/jpeg\r\n\r\n' + jpeg + b'\r\n\r\n')
def brzuszki(cap):
counter = 0
stage = None
with mp_pose.Pose(min_detection_confidence=0.5, min_tracking_confidence=0.5) as pose:
while cap.isOpened():
NULL, frame = cap.read()
image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
image.flags.writeable = False
results = pose.process(image)
try:
landmarks = results.pose_landmarks.landmark
left_shoulder = [landmarks[mp_pose.PoseLandmark.LEFT_SHOULDER.value].x,landmarks[mp_pose.PoseLandmark.LEFT_SHOULDER.value].y]
left_hip = [landmarks[mp_pose.PoseLandmark.LEFT_HIP.value].x,landmarks[mp_pose.PoseLandmark.LEFT_HIP.value].y]
left_knee = [landmarks[mp_pose.PoseLandmark.LEFT_KNEE.value].x,landmarks[mp_pose.PoseLandmark.LEFT_KNEE.value].y]
right_shoulder = [landmarks[mp_pose.PoseLandmark.RIGHT_SHOULDER.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_SHOULDER.value].y]
right_hip = [landmarks[mp_pose.PoseLandmark.RIGHT_HIP.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_HIP.value].y]
right_knee = [landmarks[mp_pose.PoseLandmark.RIGHT_KNEE.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_KNEE.value].y]
left_angle = calculate_angle(left_shoulder, left_hip, left_knee)
right_angle = calculate_angle(right_shoulder, right_hip, right_knee)
right_hip_text = [landmarks[mp_pose.PoseLandmark.RIGHT_HIP.value].x-0.008,landmarks[mp_pose.PoseLandmark.RIGHT_HIP.value].y+0.008]
left_hip_text = [landmarks[mp_pose.PoseLandmark.LEFT_HIP.value].x-0.008,landmarks[mp_pose.PoseLandmark.LEFT_HIP.value].y+0.008]
if left_angle > 120 and right_angle > 120 and stage == "up":
stage = "down"
counter +=1
elif left_angle > 120 and right_angle > 120:
stage = "down"
if left_angle < 70 and stage =='down' and right_angle < 70:
stage = "up"
except:
pass
image.flags.writeable = True
image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
cv2.line(image, tuple(np.multiply(right_shoulder, [1280, 720]).astype(int)), tuple(np.multiply(right_hip, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.line(image, tuple(np.multiply(right_knee, [1280, 720]).astype(int)), tuple(np.multiply(right_hip, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.circle(image, tuple(np.multiply(right_knee, [1280, 720]).astype(int)), 20, (186,85,211), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(right_knee, [1280, 720]).astype(int)), 25, (186,85,211), 2)
cv2.circle(image, tuple(np.multiply(right_hip, [1280, 720]).astype(int)), 30, (186,85,211), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(right_hip, [1280, 720]).astype(int)), 35, (186,85,211), 2)
cv2.circle(image, tuple(np.multiply(right_shoulder, [1280, 720]).astype(int)), 20, (186,85,211), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(right_shoulder, [1280, 720]).astype(int)), 25, (186,85,211), 2)
cv2.line(image, tuple(np.multiply(left_shoulder, [1280, 720]).astype(int)), tuple(np.multiply(left_hip, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.line(image, tuple(np.multiply(left_knee, [1280, 720]).astype(int)), tuple(np.multiply(left_hip, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.circle(image, tuple(np.multiply(left_knee, [1280, 720]).astype(int)), 20, (255,105,180), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(left_knee, [1280, 720]).astype(int)), 25, (255,105,180), 2)
cv2.circle(image, tuple(np.multiply(left_hip, [1280, 720]).astype(int)), 30, (186,85,211), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(left_hip, [1280, 720]).astype(int)), 35, (186,85,211), 2)
cv2.circle(image, tuple(np.multiply(left_shoulder, [1280, 720]).astype(int)), 20, (186,85,211), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(left_shoulder, [1280, 720]).astype(int)), 25, (186,85,211), 2)
left_per = np.interp(left_angle, (70, 120), (100, 0))
left_bar = np.interp(left_angle, (70, 120), (100, 650))
left_color = (0, 165, 255)
if left_per == 100:
left_color = (0, 128, 0)
if left_per == 0:
left_color = (0, 0, 255)
right_per = np.interp(right_angle, (70, 120), (100, 0))
right_bar = np.interp(right_angle, (70, 120), (100, 650))
right_color = (0, 165, 255)
if right_per == 100:
right_color = (0, 128, 0)
if right_per == 0:
right_color = (0, 0, 255)
whole_color = (0, 165, 255)
if left_per == 100 and right_per == 100:
whole_color = (0, 128, 0)
if left_per == 0 and right_per == 0:
whole_color = (0, 0, 255)
cv2.rectangle(image, (100, 100), (175, 650), right_color, 3)
cv2.rectangle(image, (100, int(right_bar)), (175, 650), right_color, cv2.FILLED)
cv2.circle(image, (400,90), 85, (0, 0, 0), cv2.FILLED)
cv2.circle(image, (880,90), 85, (0, 0, 0), cv2.FILLED)
cv2.circle(image, (400,90), 80, whole_color, cv2.FILLED)
cv2.circle(image, (880,90), 80, whole_color, cv2.FILLED)
cv2.putText(image, 'REPS', (359,130), cv2.FONT_HERSHEY_SIMPLEX, 1, (255,255,255), 1, cv2.LINE_AA)
cv2.putText(image, str(counter), (380,85) if counter < 10 else (360,85), cv2.FONT_HERSHEY_SIMPLEX, 2, (255,255,255), 2, cv2.LINE_AA)
cv2.putText(image, 'STAGE', (833,130), cv2.FONT_HERSHEY_SIMPLEX, 1, (255,255,255), 1, cv2.LINE_AA)
cv2.putText(image, stage, (820,85) if stage == "down" else (850,85), cv2.FONT_HERSHEY_SIMPLEX, 1.5, (255,255,255), 2, cv2.LINE_AA)
cv2.rectangle(image, (1100, 100), (1175, 650), left_color, 3)
cv2.rectangle(image, (1100, int(left_bar)), (1175, 650), left_color, cv2.FILLED)
cv2.putText(image, str(round(left_angle)),
tuple(np.multiply(left_hip_text, [1280, 720]).astype(int)),
cv2.FONT_HERSHEY_DUPLEX, 0.5, (255, 255, 255), 2, cv2.LINE_AA
)
cv2.putText(image, str(round(right_angle)),
tuple(np.multiply(right_hip_text, [1280, 720]).astype(int)),
cv2.FONT_HERSHEY_DUPLEX, 0.5, (255, 255, 255), 2, cv2.LINE_AA
)
jpeg = simplejpeg.encode_jpeg(image, colorspace = "BGR")
yield (b'--frame\r\n'
b'Content-Type: image/jpeg\r\n\r\n' + jpeg + b'\r\n\r\n')
def military(cap):
counter = 0
stage = None
with mp_pose.Pose(min_detection_confidence=0.5, min_tracking_confidence=0.5) as pose:
while cap.isOpened():
NULL, frame = cap.read()
image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
image.flags.writeable = False
results = pose.process(image)
try:
landmarks = results.pose_landmarks.landmark
left_shoulder = [landmarks[mp_pose.PoseLandmark.LEFT_SHOULDER.value].x,landmarks[mp_pose.PoseLandmark.LEFT_SHOULDER.value].y]
left_elbow = [landmarks[mp_pose.PoseLandmark.LEFT_ELBOW.value].x,landmarks[mp_pose.PoseLandmark.LEFT_ELBOW.value].y]
left_hip = [landmarks[mp_pose.PoseLandmark.LEFT_HIP.value].x,landmarks[mp_pose.PoseLandmark.LEFT_HIP.value].y]
left_wrist = [landmarks[mp_pose.PoseLandmark.LEFT_WRIST.value].x,landmarks[mp_pose.PoseLandmark.LEFT_WRIST.value].y]
right_shoulder = [landmarks[mp_pose.PoseLandmark.RIGHT_SHOULDER.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_SHOULDER.value].y]
right_elbow = [landmarks[mp_pose.PoseLandmark.RIGHT_ELBOW.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_ELBOW.value].y]
right_hip = [landmarks[mp_pose.PoseLandmark.RIGHT_HIP.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_HIP.value].y]
right_wrist = [landmarks[mp_pose.PoseLandmark.RIGHT_WRIST.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_WRIST.value].y]
left_angle = calculate_angle(left_hip, left_shoulder, left_elbow)
right_angle = calculate_angle(right_hip, right_shoulder, right_elbow)
right_shoulder_text = [landmarks[mp_pose.PoseLandmark.RIGHT_SHOULDER.value].x-0.008,landmarks[mp_pose.PoseLandmark.RIGHT_SHOULDER.value].y+0.008]
left_shoulder_text = [landmarks[mp_pose.PoseLandmark.LEFT_SHOULDER.value].x-0.008,landmarks[mp_pose.PoseLandmark.LEFT_SHOULDER.value].y+0.008]
if left_angle > 170 and right_angle > 170:
stage = "up"
if left_angle < 100 and stage =='up' and right_angle < 100:
stage="down"
counter +=1
except:
pass
image.flags.writeable = True
image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
cv2.line(image, tuple(np.multiply(right_shoulder, [1280, 720]).astype(int)), tuple(np.multiply(right_hip, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.line(image, tuple(np.multiply(right_shoulder, [1280, 720]).astype(int)), tuple(np.multiply(right_elbow, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.line(image, tuple(np.multiply(right_elbow, [1280, 720]).astype(int)), tuple(np.multiply(right_wrist, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.circle(image, tuple(np.multiply(right_wrist, [1280, 720]).astype(int)), 20, (0, 0, 255), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(right_wrist, [1280, 720]).astype(int)), 25, (0, 0, 255), 2)
cv2.circle(image, tuple(np.multiply(right_elbow, [1280, 720]).astype(int)), 20, (0, 0, 255), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(right_elbow, [1280, 720]).astype(int)), 25, (0, 0, 255), 2)
cv2.circle(image, tuple(np.multiply(right_shoulder, [1280, 720]).astype(int)), 30, (0, 0, 255), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(right_shoulder, [1280, 720]).astype(int)), 35, (0, 0, 255), 2)
cv2.circle(image, tuple(np.multiply(right_hip, [1280, 720]).astype(int)), 20, (0, 0, 255), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(right_hip, [1280, 720]).astype(int)), 25, (0, 0, 255), 2)
cv2.line(image, tuple(np.multiply(left_shoulder, [1280, 720]).astype(int)), tuple(np.multiply(left_hip, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.line(image, tuple(np.multiply(left_shoulder, [1280, 720]).astype(int)), tuple(np.multiply(left_elbow, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.line(image, tuple(np.multiply(left_elbow, [1280, 720]).astype(int)), tuple(np.multiply(left_wrist, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.circle(image, tuple(np.multiply(left_wrist, [1280, 720]).astype(int)), 20, (0, 0, 255), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(left_wrist, [1280, 720]).astype(int)), 25, (0, 0, 255), 2)
cv2.circle(image, tuple(np.multiply(left_elbow, [1280, 720]).astype(int)), 20, (0, 0, 255), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(left_elbow, [1280, 720]).astype(int)), 25, (0, 0, 255), 2)
cv2.circle(image, tuple(np.multiply(left_shoulder, [1280, 720]).astype(int)), 30, (0, 0, 255), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(left_shoulder, [1280, 720]).astype(int)), 35, (0, 0, 255), 2)
cv2.circle(image, tuple(np.multiply(left_hip, [1280, 720]).astype(int)), 20, (0, 0, 255), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(left_hip, [1280, 720]).astype(int)), 25, (0, 0, 255), 2)
left_per = np.interp(left_angle, (100, 170), (0, 100))
left_bar = np.interp(left_angle, (100, 170), (650, 100))
left_color = (0, 165, 255)
if left_per == 100:
left_color = (0, 128, 0)
if left_per == 0:
left_color = (0, 0, 255)
right_per = np.interp(right_angle, (100, 170), (0, 100))
right_bar = np.interp(right_angle, (100, 170), (650, 100))
right_color = (0, 165, 255)
if right_per == 100:
right_color = (0, 128, 0)
if right_per == 0:
right_color = (0, 0, 255)
whole_color = (0, 165, 255)
if left_per == 100 and right_per == 100:
whole_color = (0, 128, 0)
if left_per == 0 and right_per == 0:
whole_color = (0, 0, 255)
cv2.rectangle(image, (100, 100), (175, 650), right_color, 3)
cv2.rectangle(image, (100, int(right_bar)), (175, 650), right_color, cv2.FILLED)
cv2.circle(image, (400,90), 85, (0, 0, 0), cv2.FILLED)
cv2.circle(image, (880,90), 85, (0, 0, 0), cv2.FILLED)
cv2.circle(image, (400,90), 80, whole_color, cv2.FILLED)
cv2.circle(image, (880,90), 80, whole_color, cv2.FILLED)
cv2.putText(image, 'REPS', (359,130), cv2.FONT_HERSHEY_SIMPLEX, 1, (255,255,255), 1, cv2.LINE_AA)
cv2.putText(image, str(counter), (380,85) if counter < 10 else (360,85), cv2.FONT_HERSHEY_SIMPLEX, 2, (255,255,255), 2, cv2.LINE_AA)
cv2.putText(image, 'STAGE', (833,130), cv2.FONT_HERSHEY_SIMPLEX, 1, (255,255,255), 1, cv2.LINE_AA)
cv2.putText(image, stage, (820,85) if stage == "down" else (850,85), cv2.FONT_HERSHEY_SIMPLEX, 1.5, (255,255,255), 2, cv2.LINE_AA)
cv2.rectangle(image, (1100, 100), (1175, 650), left_color, 3)
cv2.rectangle(image, (1100, int(left_bar)), (1175, 650), left_color, cv2.FILLED)
cv2.putText(image, str(round(left_angle)),
tuple(np.multiply(left_shoulder_text, [1280, 720]).astype(int)),
cv2.FONT_HERSHEY_DUPLEX, 0.5, (255, 255, 255), 2, cv2.LINE_AA
)
cv2.putText(image, str(round(right_angle)),
tuple(np.multiply(right_shoulder_text, [1280, 720]).astype(int)),
cv2.FONT_HERSHEY_DUPLEX, 0.5, (255, 255, 255), 2, cv2.LINE_AA
)
jpeg = simplejpeg.encode_jpeg(image, colorspace = "BGR")
yield (b'--frame\r\n'
b'Content-Type: image/jpeg\r\n\r\n' + jpeg + b'\r\n\r\n')
def wznosy(cap):
counter = 0
stage = None
with mp_pose.Pose(min_detection_confidence=0.5, min_tracking_confidence=0.5) as pose:
while cap.isOpened():
NULL, frame = cap.read()
image = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
image.flags.writeable = False
results = pose.process(image)
try:
landmarks = results.pose_landmarks.landmark
left_shoulder = [landmarks[mp_pose.PoseLandmark.LEFT_SHOULDER.value].x,landmarks[mp_pose.PoseLandmark.LEFT_SHOULDER.value].y]
left_elbow = [landmarks[mp_pose.PoseLandmark.LEFT_ELBOW.value].x,landmarks[mp_pose.PoseLandmark.LEFT_ELBOW.value].y]
left_hip = [landmarks[mp_pose.PoseLandmark.LEFT_HIP.value].x,landmarks[mp_pose.PoseLandmark.LEFT_HIP.value].y]
left_wrist = [landmarks[mp_pose.PoseLandmark.LEFT_WRIST.value].x,landmarks[mp_pose.PoseLandmark.LEFT_WRIST.value].y]
right_shoulder = [landmarks[mp_pose.PoseLandmark.RIGHT_SHOULDER.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_SHOULDER.value].y]
right_elbow = [landmarks[mp_pose.PoseLandmark.RIGHT_ELBOW.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_ELBOW.value].y]
right_hip = [landmarks[mp_pose.PoseLandmark.RIGHT_HIP.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_HIP.value].y]
right_wrist = [landmarks[mp_pose.PoseLandmark.RIGHT_WRIST.value].x,landmarks[mp_pose.PoseLandmark.RIGHT_WRIST.value].y]
left_angle = calculate_angle(left_hip, left_shoulder, left_elbow)
right_angle = calculate_angle(right_hip, right_shoulder, right_elbow)
right_shoulder_text = [landmarks[mp_pose.PoseLandmark.RIGHT_SHOULDER.value].x-0.008,landmarks[mp_pose.PoseLandmark.RIGHT_SHOULDER.value].y+0.008]
left_shoulder_text = [landmarks[mp_pose.PoseLandmark.LEFT_SHOULDER.value].x-0.008,landmarks[mp_pose.PoseLandmark.LEFT_SHOULDER.value].y+0.008]
if left_angle > 80 and right_angle > 80:
stage = "up"
if left_angle < 20 and stage =='up' and right_angle < 20:
stage="down"
counter +=1
except:
pass
image.flags.writeable = True
image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
cv2.line(image, tuple(np.multiply(right_shoulder, [1280, 720]).astype(int)), tuple(np.multiply(right_hip, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.line(image, tuple(np.multiply(right_shoulder, [1280, 720]).astype(int)), tuple(np.multiply(right_elbow, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.line(image, tuple(np.multiply(right_elbow, [1280, 720]).astype(int)), tuple(np.multiply(right_wrist, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.circle(image, tuple(np.multiply(right_wrist, [1280, 720]).astype(int)), 20, (255,20,147), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(right_wrist, [1280, 720]).astype(int)), 25, (255,20,147), 2)
cv2.circle(image, tuple(np.multiply(right_elbow, [1280, 720]).astype(int)), 20, (255,20,147), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(right_elbow, [1280, 720]).astype(int)), 25, (255,20,147), 2)
cv2.circle(image, tuple(np.multiply(right_shoulder, [1280, 720]).astype(int)), 30, (255,20,147), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(right_shoulder, [1280, 720]).astype(int)), 35, (255,20,147), 2)
cv2.circle(image, tuple(np.multiply(right_hip, [1280, 720]).astype(int)), 20, (255,20,147), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(right_hip, [1280, 720]).astype(int)), 25, (255,20,147), 2)
cv2.line(image, tuple(np.multiply(left_shoulder, [1280, 720]).astype(int)), tuple(np.multiply(left_hip, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.line(image, tuple(np.multiply(left_shoulder, [1280, 720]).astype(int)), tuple(np.multiply(left_elbow, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.line(image, tuple(np.multiply(left_elbow, [1280, 720]).astype(int)), tuple(np.multiply(left_wrist, [1280, 720]).astype(int)), (255, 255, 255), 3)
cv2.circle(image, tuple(np.multiply(left_wrist, [1280, 720]).astype(int)), 20, (255,20,147), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(left_wrist, [1280, 720]).astype(int)), 25, (255,20,147), 2)
cv2.circle(image, tuple(np.multiply(left_elbow, [1280, 720]).astype(int)), 20, (255,20,147), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(left_elbow, [1280, 720]).astype(int)), 25, (255,20,147), 2)
cv2.circle(image, tuple(np.multiply(left_shoulder, [1280, 720]).astype(int)), 30, (255,20,147), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(left_shoulder, [1280, 720]).astype(int)), 35, (255,20,147), 2)
cv2.circle(image, tuple(np.multiply(left_hip, [1280, 720]).astype(int)), 20, (255,20,147), cv2.FILLED)
cv2.circle(image, tuple(np.multiply(left_hip, [1280, 720]).astype(int)), 25, (255,20,147), 2)
left_per = np.interp(left_angle, (20, 80), (0, 100))
left_bar = np.interp(left_angle, (20, 80), (650, 100))
left_color = (0, 165, 255)
if left_per == 100:
left_color = (0, 128, 0)
if left_per == 0:
left_color = (0, 0, 255)
right_per = np.interp(right_angle, (20, 80), (0, 100))
right_bar = np.interp(right_angle, (20, 80), (650, 100))
right_color = (0, 165, 255)
if right_per == 100:
right_color = (0, 128, 0)
if right_per == 0:
right_color = (0, 0, 255)
whole_color = (0, 165, 255)
if left_per == 100 and right_per == 100:
whole_color = (0, 128, 0)
if left_per == 0 and right_per == 0:
whole_color = (0, 0, 255)
cv2.rectangle(image, (100, 100), (175, 650), right_color, 3)
cv2.rectangle(image, (100, int(right_bar)), (175, 650), right_color, cv2.FILLED)
cv2.circle(image, (400,90), 85, (0, 0, 0), cv2.FILLED)
cv2.circle(image, (880,90), 85, (0, 0, 0), cv2.FILLED)
cv2.circle(image, (400,90), 80, whole_color, cv2.FILLED)
cv2.circle(image, (880,90), 80, whole_color, cv2.FILLED)
cv2.putText(image, 'REPS', (359,130), cv2.FONT_HERSHEY_SIMPLEX, 1, (255,255,255), 1, cv2.LINE_AA)
cv2.putText(image, str(counter), (380,85) if counter < 10 else (360,85), cv2.FONT_HERSHEY_SIMPLEX, 2, (255,255,255), 2, cv2.LINE_AA)
cv2.putText(image, 'STAGE', (833,130), cv2.FONT_HERSHEY_SIMPLEX, 1, (255,255,255), 1, cv2.LINE_AA)
cv2.putText(image, stage, (820,85) if stage == "down" else (850,85), cv2.FONT_HERSHEY_SIMPLEX, 1.5, (255,255,255), 2, cv2.LINE_AA)
cv2.rectangle(image, (1100, 100), (1175, 650), left_color, 3)
cv2.rectangle(image, (1100, int(left_bar)), (1175, 650), left_color, cv2.FILLED)
cv2.putText(image, str(round(left_angle)),
tuple(np.multiply(left_shoulder_text, [1280, 720]).astype(int)),
cv2.FONT_HERSHEY_DUPLEX, 0.5, (255, 255, 255), 2, cv2.LINE_AA
)
cv2.putText(image, str(round(right_angle)),
tuple(np.multiply(right_shoulder_text, [1280, 720]).astype(int)),
cv2.FONT_HERSHEY_DUPLEX, 0.5, (255, 255, 255), 2, cv2.LINE_AA
)
jpeg = simplejpeg.encode_jpeg(image, colorspace = "BGR")
yield (b'--frame\r\n'
b'Content-Type: image/jpeg\r\n\r\n' + jpeg + b'\r\n\r\n')