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FormDetection.py
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import cv2
import numpy as np
import time
import PoseModule as pm
import math
import os
class TestingMain:
def __init__(self):
self.output_file = None
self.performanceFile = None
self.secPerformanceFile = None
def mainFunction(self, filename_input):
cap = cv2.VideoCapture(f"uploads/{filename_input}")
# Assuming pm is imported or defined somewhere
detector = pm.poseDetector()
count = 0
dir = 0
pTime = 0
# Get video properties
frame_width = int(cap.get(3))
frame_height = int(cap.get(4))
fps = int(cap.get(cv2.CAP_PROP_FPS))
# Define the codec and create VideoWriter object
output_file = 'outputs/output_video.mp4'
file_exists = os.path.exists(output_file)
count = 1
while file_exists:
filename, extension = os.path.splitext(output_file)
output_file = f"{filename}{count}{extension}"
count += 1
file_exists = os.path.exists(output_file)
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
out = cv2.VideoWriter(output_file, fourcc, fps, (frame_width, frame_height))
while True:
success, img = cap.read()
if not success:
break
# Perform pose detection
img = detector.findPose(img, False)
lmList = detector.findPosition(img, False)
if len(lmList) != 0:
angle = detector.findAngle(img, 12, 14, 16)
per = np.interp(angle, (60, 160), (100, 0))
bar = np.interp(angle, (60, 160), (100, 650))
color = (0, 0, 255)
# Check for the dumbbell curls
if per == 100:
color = (0, 0, 255)
if dir == 0:
count += 0.5
dir = 1
if per == 0:
color = (0, 255, 0)
if dir == 1:
count += 0.5
dir = 0
# Draw Bar
overlay = img.copy()
alpha = 0.5 # Adjust opacity here
cv2.rectangle(overlay, (150, 150), (0, 0), color, cv2.FILLED)
cv2.rectangle(overlay, (int(bar), 100), (0, 0), color, cv2.FILLED)
img = cv2.addWeighted(overlay, alpha, img, 1 - alpha, 0)
# Draw Rep Count with adjusted opacity
overlay = img.copy()
alpha = 0.5 # Adjust opacity here
cv2.rectangle(overlay, (0, 100), (120, 50), color, cv2.FILLED)
img = cv2.addWeighted(overlay, alpha, img, 1 - alpha, 0)
# Draw Percentage with adjusted opacity
overlay = img.copy()
alpha = 0.5 # Adjust opacity here
cv2.putText(overlay, f'{int(per)} %', (20, 150), cv2.FONT_HERSHEY_PLAIN, 4, (255, 0, 0), 4)
img = cv2.addWeighted(overlay, alpha, img, 1 - alpha, 0)
# Draw Rep Count with adjusted opacity
overlay = img.copy()
alpha = 0.5 # Adjust opacity here
cv2.putText(overlay, f'{count}', (0, 100), cv2.FONT_HERSHEY_PLAIN, 5, (255, 0, 0), 5)
img = cv2.addWeighted(overlay, alpha, img, 1 - alpha, 0)
# Write the frame to the output video
out.write(img)
cTime = time.time()
fps = 1 / (cTime - pTime)
pTime = cTime
# Release the VideoCapture and VideoWriter objects
cap.release()
out.release()
# Set the output file
self.output_file = output_file
def bicepCurls(self, filename_input): # THIS ONE IS FROM RHS
# For Importing Video {Devansh}
cap = cv2.VideoCapture(f"uploads/{filename_input}")
detector = pm.poseDetector()
count = 0
dir = 0
pTime = 0
timestamps = []
shoulder_timestamp = 0
shoulder_timestamps = []
backBend = False
shoulder_backBend = False
start_time = time.time()
counted = False
shoulder_counted = False
timestamp = 0
ui_width = 170
lineColor = (0,255,0)
# Define the codec and create VideoWriter object
output_file = 'outputs/output_video.mp4'
file_exists = os.path.exists(output_file)
counting = 1
while file_exists:
filename, extension = os.path.splitext(output_file)
output_file = f"{filename}{counting}{extension}"
counting += 1
file_exists = os.path.exists(output_file)
output_frame_width = int(cap.get(3))
output_frame_height = int(cap.get(4))
fps = int(cap.get(cv2.CAP_PROP_FPS))
# Define the codec and create VideoWriter object
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
out = cv2.VideoWriter(output_file, fourcc, fps, (output_frame_width+170, output_frame_height))
while True:
success, img = cap.read()
if not success:
break
img = detector.findPose(img, False)
lmList = detector.findPosition(img, False)
if len(lmList) != 0:
# #Right Arm
angle = detector.findAngle(img, 12, 14, 16,lineColor=lineColor)
hipangle = detector.findAngle(img, 12,24,26, lineColor=lineColor)
shoudler_angle = detector.findAngle(img, 24, 12, 14, lineColor=lineColor)
if hipangle > 190:
frame_height, frame_width = img.shape[:2]
lineColor = (0,0,255)
text = "KEEP YOUR BACK STRAIGHT"
position = (20, 60)
font = cv2.FONT_HERSHEY_SIMPLEX
scale = 1
UI_Color = (0, 0, 0)
thickness = 2
text_position = put_text_in_frame(img, text, position, font, scale, (0,0,255), thickness)
overlay = img.copy()
alpha = 0.5 # Adjust opacity here
cv2.rectangle(overlay, (frame_width, 100), (0, 0), UI_Color, cv2.FILLED)
# cv2.rectangle(overlay, (int(bar), 100), (0, 0), (255,255,255), cv2.FILLED)
img = cv2.addWeighted(overlay, alpha, img, 1 - alpha, 0)
# Get the correct position to ensure text is within the frame
cv2.rectangle(overlay, (frame_width,100), (0,0), UI_Color, cv2.FILLED)
cv2.putText(img, text, text_position, font, scale, (255,255,255), thickness)
backBend = True
if counted == True:
backBend = False
counted = False
if backBend == True:
end_time = time.time()
timestamp = end_time - start_time
counted = True
elif 10 > shoudler_angle > 4:
frame_height, frame_width = img.shape[:2]
lineColor = (0,0,255)
text = "KEEP YOUR HANDS STABLE"
position = (20, 60)
font = cv2.FONT_HERSHEY_SIMPLEX
scale = 1
UI_Color = (0, 0, 0)
thickness = 2
text_position = put_text_in_frame(img, text, position, font, scale, (0,0,255), thickness)
overlay = img.copy()
alpha = 0.5 # Adjust opacity here
cv2.rectangle(overlay, (frame_width, 100), (0, 0), UI_Color, cv2.FILLED)
# cv2.rectangle(overlay, (int(bar), 100), (0, 0), (255,255,255), cv2.FILLED)
img = cv2.addWeighted(overlay, alpha, img, 1 - alpha, 0)
# Get the correct position to ensure text is within the frame
cv2.rectangle(overlay, (frame_width,100), (0,0), UI_Color, cv2.FILLED)
cv2.putText(img, text, text_position, font, scale, (255,255,255), thickness)
shoulder_backBend = True
if shoulder_counted == True:
shoulder_backBend = False
shoulder_counted = False
if shoulder_backBend == True:
shoudler_end_time = time.time()
shoulder_timestamp = shoudler_end_time - start_time
shoulder_counted = True
else:
frame_height, frame_width = img.shape[:2]
lineColor = (0,255,0)
text = "PROMPTS WILL SHOW HERE"
position = (20, 60)
font = cv2.FONT_HERSHEY_SIMPLEX
scale = 1
UI_Color = (0, 0, 0)
thickness = 2
text_position = put_text_in_frame(img, text, position, font, scale, (0,0,255), thickness)
overlay = img.copy()
alpha = 0.7 # Adjust opacity here
cv2.rectangle(overlay, (frame_width, 100), (0, 0), UI_Color, cv2.FILLED)
# cv2.rectangle(overlay, (int(bar), 100), (0, 0), (255,255,255), cv2.FILLED)
img = cv2.addWeighted(overlay, alpha, img, 1 - alpha, 0)
# Get the correct position to ensure text is within the frame
cv2.rectangle(overlay, (frame_width,100), (0,0), UI_Color, cv2.FILLED)
cv2.putText(img, text, text_position, font, scale, (255,255,255), thickness)
timestamps.append(int(timestamp))
shoulder_timestamps.append(int(shoulder_timestamp))
#Left Arm
# detector.findAngle(img, 11, 13, 15)
per = np.interp(angle, (60, 160), (100,0))
bar = np.interp(angle, (60, 160), (100, 700))
color = (0, int(255 * (per / 100)), int(255 * (1 - per / 100))) # Gradual color change from red to green
if per == 100:
color = (0, 255, 0)
if dir == 0:
count += 0.5
dir = 1
if per == 0:
color = (0, 0, 255)
if dir == 1:
count += 0.5
dir = 0
timestamps = list(set(timestamps))
shoulder_timestamps = list(set(shoulder_timestamps))
cTime = time.time()
fps = 1/(cTime -pTime)
pTime = cTime
canvas = np.zeros((frame_height, frame_width + ui_width, 3), dtype=np.uint8)
# Overlay background image onto canvas
canvas[:, :frame_width] = img
# Draw the bar on the right side of the canvas
cv2.rectangle(canvas, (frame_width, 100), (frame_width + 170, 0), color, cv2.FILLED)
cv2.rectangle(canvas, (frame_width, int(bar)), (frame_width + 170, frame_height), color, cv2.FILLED)
cv2.putText(canvas, f'{int(per)}%', (frame_width + 60, int(bar) - 10), cv2.FONT_HERSHEY_PLAIN, 2, (255, 255, 255), 2)
# Draw Rep Count on the right side of the canvas
cv2.putText(canvas, f'Reps: {int(count)}', (frame_width + 20, 45), cv2.FONT_HERSHEY_PLAIN, 2, (255, 255, 255), 2)
out.write(canvas)
cap.release()
out.release()
# Set the output file
self.output_file = output_file
self.performanceFile = hip_instability(timestamps, img)
self.secPerformanceFile = legStraight(shoulder_timestamps, img)
def bencHTricepDips(self, filename_input):
# r is used because windows automatically puts backslashes when copying path, but we need forward slashes in python
cap = cv2.VideoCapture(f"uploads/{filename_input}")
detector = pm.poseDetector()
count = 0
dir = 0
pTime = 0
camera_warning_shown = False
ui_width = 170
lineColor = (0,255,0)
kneeBend = False
counted = False
start_time = time.time()
timestamps = []
timestamp = None
output_file = 'outputs/output_video.mp4'
file_exists = os.path.exists(output_file)
counting = 1
while file_exists:
filename, extension = os.path.splitext(output_file)
output_file = f"{filename}{counting}{extension}"
counting += 1
file_exists = os.path.exists(output_file)
frame_width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
frame_height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
fps = int(cap.get(cv2.CAP_PROP_FPS))
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
out = cv2.VideoWriter(output_file, fourcc, fps, (frame_width + 170, frame_height))
while True:
success, img = cap.read()
if not success:
break
# img = cv2.imread("test.jpg")
# img.resize((1280, 720))
# img_resized = resize_image(img, width=800) # Resize the frame
img = detector.findPose(img, False)
lmList = detector.findPosition(img, False)
if len(lmList) != 0:
#Right Arm 74 Being minimum and 159 being maximum
angle = detector.findAngle(img, 12, 14, 16,)
kneeAngle = detector.findAngle(img, 24, 26, 28, lineColor=lineColor)
#Left Arm
# angle = detector.findAngle(img, 11, 13, 15)
per = np.interp(angle, (90, 159), (100,0))
bar = np.interp(angle, (90, 159), (100, 650))
#print(per)
if kneeAngle > 200 or kneeAngle < 170:
frame_height, frame_width = img.shape[:2]
lineColor = (0,0,255)
text = "KEEP YOUR LEGS STRAIGHT"
position = (20, 60)
font = cv2.FONT_HERSHEY_SIMPLEX
scale = 1
UI_Color = (0, 0, 0)
thickness = 2
text_position = put_text_in_frame(img, text, position, font, scale, (0,0,255), thickness)
overlay = img.copy()
alpha = 0.5 # Adjust opacity here
cv2.rectangle(overlay, (frame_width, 100), (0, 0), UI_Color, cv2.FILLED)
# cv2.rectangle(overlay, (int(bar), 100), (0, 0), (255,255,255), cv2.FILLED)
img = cv2.addWeighted(overlay, alpha, img, 1 - alpha, 0)
# Get the correct position to ensure text is within the frame
cv2.rectangle(overlay, (frame_width,100), (0,0), UI_Color, cv2.FILLED)
cv2.putText(img, text, text_position, font, scale, (255,255,255), thickness)
kneeBend = True
if counted == True:
kneeBend = False
counted = False
if kneeBend == True:
end_time = time.time()
timestamp = end_time - start_time
counted = True
else:
frame_height, frame_width = img.shape[:2]
lineColor = (0,255,0)
text = "PROMPTS WILL SHOW HERE"
position = (20, 60)
font = cv2.FONT_HERSHEY_SIMPLEX
scale = 1
UI_Color = (0, 0, 0)
thickness = 2
text_position = put_text_in_frame(img, text, position, font, scale, (0,0,255), thickness)
overlay = img.copy()
alpha = 0.5 # Adjust opacity here
cv2.rectangle(overlay, (frame_width, 100), (0, 0), UI_Color, cv2.FILLED)
# cv2.rectangle(overlay, (int(bar), 100), (0, 0), (255,255,255), cv2.FILLED)
img = cv2.addWeighted(overlay, alpha, img, 1 - alpha, 0)
# Get the correct position to ensure text is within the frame
cv2.rectangle(overlay, (frame_width,100), (0,0), UI_Color, cv2.FILLED)
cv2.putText(img, text, text_position, font, scale, (255,255,255), thickness)
timestamps.append(int(timestamp))
# Check for the dumbbell curls
color = (0,255,0)
if per == 100:
color = (0,0,255)
if dir ==0:
count += 0.5
dir = 1
if per == 0:
color = (0,255,0)
if dir == 1:
count += 0.5
dir = 0
if len(lmList) < 2 and not camera_warning_shown:
cv2.putText(img, "Adjust camera position!", (250, 250), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 0, 255), 2)
camera_warning_shown = True
timestamps = list(set(timestamps))
color = (0, int(255 * (per / 100)), int(255 * (1 - per / 100))) # Gradual color change from red to green
cTime = time.time()
fps = 1/(cTime -pTime)
pTime = cTime
#cv2.putText(img, f'{fps}', (50, 100), cv2.FONT_HERSHEY_PLAIN, 5, (255, 0, 0), 5)
canvas = np.zeros((frame_height, frame_width + ui_width, 3), dtype=np.uint8)
# Overlay background image onto canvas
canvas[:, :frame_width] = img
# Draw the bar on the right side of the canvas
cv2.rectangle(canvas, (frame_width, 100), (frame_width + 170, 0), color, cv2.FILLED)
cv2.rectangle(canvas, (frame_width, int(bar)), (frame_width + 170, frame_height), color, cv2.FILLED)
cv2.putText(canvas, f'{int(per)}%', (frame_width + 60, int(bar) - 10), cv2.FONT_HERSHEY_PLAIN, 2, (255, 255, 255), 2)
# Draw Rep Count on the right side of the canvas
cv2.putText(canvas, f'Reps: {int(count)}', (frame_width + 20, 45), cv2.FONT_HERSHEY_PLAIN, 2, (255, 255, 255), 2)
out.write(canvas)
cap.release()
out.release()
cv2.destroyAllWindows()
# Set the output file
self.output_file = output_file
check = 0
self.performanceFile = legStraight(timestamps, img)
def tricepropepushdown(self, filename_input):
# r is used because windows automatically puts backslashes when copying path, but we need forward slashes in python
cap = cv2.VideoCapture(f"uploads/{filename_input}")
detector = pm.poseDetector()
count = 0
dir = 0
pTime = 0
camera_warning_shown = False
timestamps = []
shoulder_unstable = False
start_time = time.time()
counted = False
timestamp = 0
ui_width = 170
lineColor = (0,255,0)
shoulder_counted = False
output_file = 'outputs/output_video.mp4'
file_exists = os.path.exists(output_file)
counting = 1
while file_exists:
filename, extension = os.path.splitext(output_file)
output_file = f"{filename}{counting}{extension}"
counting += 1
file_exists = os.path.exists(output_file)
frame_width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
frame_height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
fps = int(cap.get(cv2.CAP_PROP_FPS))
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
out = cv2.VideoWriter(output_file, fourcc, fps, (frame_width + 170, frame_height))
while True:
success, img = cap.read()
if not success:
break
# img = cv2.imread("test.jpg")
# img_resized = resize_image(img, width=800) # Resize the frame
img = detector.findPose(img, False)
lmList = detector.findPosition(img, False)
if len(lmList) != 0:
#Right Arm 74 Being minimum and 159 being maximum
angle = detector.findAngle(img, 11,13,15)
shoulder_angle = detector.findAngle(img, 13, 11, 23, lineColor=lineColor)
#Left Arm
# angle = detector.findAngle(img, 11, 13, 15)
per = np.interp(angle, (190, 260), (100,0))
bar = np.interp(angle, (190, 260), (100, 650))
#print(per)
color = (0, int(255 * (per / 100)), int(255 * (1 - per / 100)))
# Check for the exercise
color = (0,255,0)
if per == 100:
color = (0,0,255)
if dir ==0:
count += 0.5
dir = 1
if per == 0:
color = (0,255,0)
if dir == 1:
count += 0.5
dir = 0
if shoulder_angle > 350:
frame_height, frame_width = img.shape[:2]
lineColor = (0,0,255)
text = "RAISE YOUR SHOULDER"
position = (20, 60)
font = cv2.FONT_HERSHEY_SIMPLEX
scale = 1
UI_Color = (0, 0, 0)
thickness = 2
text_position = put_text_in_frame(img, text, position, font, scale, (0,0,255), thickness)
overlay = img.copy()
alpha = 0.5 # Adjust opacity here
cv2.rectangle(overlay, (frame_width, 100), (0, 0), UI_Color, cv2.FILLED)
# cv2.rectangle(overlay, (int(bar), 100), (0, 0), (255,255,255), cv2.FILLED)
img = cv2.addWeighted(overlay, alpha, img, 1 - alpha, 0)
# Get the correct position to ensure text is within the frame
cv2.rectangle(overlay, (frame_width,100), (0,0), UI_Color, cv2.FILLED)
cv2.putText(img, text, text_position, font, scale, (255,255,255), thickness)
shoulder_unstable = True
if shoulder_counted == True:
shoulder_unstable = False
shoulder_counted = False
if shoulder_unstable == True:
end_time = time.time()
timestamp = end_time - start_time
shoulder_counted = True
if shoulder_angle < 310:
frame_height, frame_width = img.shape[:2]
lineColor = (0,0,255)
text = "LOWER YOUR SHOULDE"
position = (20, 60)
font = cv2.FONT_HERSHEY_SIMPLEX
scale = 1
UI_Color = (0, 0, 0)
thickness = 2
text_position = put_text_in_frame(img, text, position, font, scale, (0,0,255), thickness)
overlay = img.copy()
alpha = 0.5 # Adjust opacity here
cv2.rectangle(overlay, (frame_width, 100), (0, 0), UI_Color, cv2.FILLED)
# cv2.rectangle(overlay, (int(bar), 100), (0, 0), (255,255,255), cv2.FILLED)
img = cv2.addWeighted(overlay, alpha, img, 1 - alpha, 0)
# Get the correct position to ensure text is within the frame
cv2.rectangle(overlay, (frame_width,100), (0,0), UI_Color, cv2.FILLED)
cv2.putText(img, text, text_position, font, scale, (255,255,255), thickness)
backBend = True
if counted == True:
backBend = False
counted = False
if backBend == True:
end_time = time.time()
timestamp = end_time - start_time
counted = True
else:
frame_height, frame_width = img.shape[:2]
lineColor = (0,255,0)
text = "PROMPTS WILL SHOW HERE"
position = (20, 60)
font = cv2.FONT_HERSHEY_SIMPLEX
scale = 1
UI_Color = (0, 0, 0)
thickness = 2
text_position = put_text_in_frame(img, text, position, font, scale, (0,0,255), thickness)
overlay = img.copy()
alpha = 0.7 # Adjust opacity here
cv2.rectangle(overlay, (frame_width, 100), (0, 0), UI_Color, cv2.FILLED)
# cv2.rectangle(overlay, (int(bar), 100), (0, 0), (255,255,255), cv2.FILLED)
img = cv2.addWeighted(overlay, alpha, img, 1 - alpha, 0)
# Get the correct position to ensure text is within the frame
cv2.rectangle(overlay, (frame_width,100), (0,0), UI_Color, cv2.FILLED)
cv2.putText(img, text, text_position, font, scale, (255,255,255), thickness)
if len(lmList) < 2 and not camera_warning_shown:
frame_height, frame_width = img.shape[:2]
lineColor = (0,0,255)
text = "ADJUST CAMERA POSITION"
position = (20, 60)
font = cv2.FONT_HERSHEY_SIMPLEX
scale = 1
UI_Color = (0, 0, 0)
thickness = 2
text_position = put_text_in_frame(img, text, position, font, scale, (0,0,255), thickness)
overlay = img.copy()
alpha = 0.5 # Adjust opacity here
cv2.rectangle(overlay, (frame_width, 100), (0, 0), UI_Color, cv2.FILLED)
# cv2.rectangle(overlay, (int(bar), 100), (0, 0), (255,255,255), cv2.FILLED)
img = cv2.addWeighted(overlay, alpha, img, 1 - alpha, 0)
# Get the correct position to ensure text is within the frame
cv2.rectangle(overlay, (frame_width,100), (0,0), UI_Color, cv2.FILLED)
cv2.putText(img, text, text_position, font, scale, (255,255,255), thickness)
timestamps.append(int(timestamp))
timestamps = list(set(timestamps))
cTime = time.time()
fps = 1/(cTime -pTime)
pTime = cTime
#cv2.putText(img, f'{fps}', (50, 100), cv2.FONT_HERSHEY_PLAIN, 5, (255, 0, 0), 5)
canvas = np.zeros((frame_height, frame_width + ui_width, 3), dtype=np.uint8)
color = (0, int(255 * (per / 100)), int(255 * (1 - per / 100)))
# Overlay background image onto canvas
canvas[:, :frame_width] = img
# Draw the bar on the right side of the canvas
cv2.rectangle(canvas, (frame_width, 100), (frame_width + 170, 0), color, cv2.FILLED)
cv2.rectangle(canvas, (frame_width, int(bar)), (frame_width + 170, frame_height), color, cv2.FILLED)
cv2.putText(canvas, f'{int(per)}%', (frame_width + 60, int(bar) - 10), cv2.FONT_HERSHEY_PLAIN, 2, (255, 255, 255), 2)
# Draw Rep Count on the right side of the canvas
cv2.putText(canvas, f'Reps: {int(count)}', (frame_width + 20, 45), cv2.FONT_HERSHEY_PLAIN, 2, (255, 255, 255), 2)
out.write(canvas)
cap.release()
out.release()
cv2.destroyAllWindows()
self.output_file = output_file
self.performanceFile = legStraight(timestamps, img)
def cableRows(self, filename_input):
# r is used because windows automatically puts backslashes when copying path, but we need forward slashes in python
cap = cv2.VideoCapture(f"uploads/{filename_input}")
detector = pm.poseDetector()
count = 0
dir = 0
pTime = 0
camera_warning_shown = False
timestamps = []
backBend = False
shoulder_backBend = False
start_time = time.time()
counted = False
timestamp = 0
shoulder_timestamp = 0
shoulder_timestamps = []
shoulder_counted = False
ui_width = 170
lineColor = (0,255,0)
output_file = 'outputs/output_video.mp4'
file_exists = os.path.exists(output_file)
counting = 1
while file_exists:
filename, extension = os.path.splitext(output_file)
output_file = f"{filename}{counting}{extension}"
counting += 1
file_exists = os.path.exists(output_file)
frame_width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
frame_height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
fps = int(cap.get(cv2.CAP_PROP_FPS))
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
out = cv2.VideoWriter(output_file, fourcc, fps, (frame_width + 170, frame_height))
while True:
success, img = cap.read()
if not success:
break
# img = cv2.imread("test.jpg")
img = detector.findPose(img, False)
lmList = detector.findPosition(img, False)
shoulderDistance = detector.findDistance(img, 11, 15, lineColor=lineColor)
if len(lmList) != 0:
#Right Arm 74 Being minimum and 159 being maximum
angle = detector.findAngle(img, 11,13,15)
hipangle = detector.findAngle(img, 25, 23, 11)
#Left Arm
# angle = detector.findAngle(img, 11, 13, 15)
per = np.interp(angle, (205, 265), (0,100))
bar = np.interp(angle, (205, 265), (650, 100))
#print(per)
if hipangle < 80:
frame_height, frame_width = img.shape[:2]
text = "DO NOT LEAN THAT FORWARD"
position = (20, 60)
font = cv2.FONT_HERSHEY_SIMPLEX
scale = 1
UI_Color = (0, 0, 0)
thickness = 2
text_position = put_text_in_frame(img, text, position, font, scale, (0,0,255), thickness)
overlay = img.copy()
alpha = 0.5 # Adjust opacity here
cv2.rectangle(overlay, (frame_width, 100), (0, 0), UI_Color, cv2.FILLED)
# cv2.rectangle(overlay, (int(bar), 100), (0, 0), (255,255,255), cv2.FILLED)
img = cv2.addWeighted(overlay, alpha, img, 1 - alpha, 0)
# Get the correct position to ensure text is within the frame
cv2.rectangle(overlay, (frame_width,100), (0,0), UI_Color, cv2.FILLED)
cv2.putText(img, text, text_position, font, scale, (255,255,255), thickness)
shoulder_backBend = True
if shoulder_counted == True:
shoulder_backBend = False
shoulder_counted = False
if shoulder_backBend == True:
shoudler_end_time = time.time()
shoulder_timestamp = shoudler_end_time - start_time
shoulder_counted = True
if shoulderDistance < 95:
frame_height, frame_width = img.shape[:2]
lineColor = (0,0,255)
text = "LOWER YOUR HANDS"
position = (20, 60)
font = cv2.FONT_HERSHEY_SIMPLEX
scale = 1
UI_Color = (0, 0, 0)
thickness = 2
text_position = put_text_in_frame(img, text, position, font, scale, (0,0,255), thickness)
overlay = img.copy()
alpha = 0.5 # Adjust opacity here
cv2.rectangle(overlay, (frame_width, 100), (0, 0), UI_Color, cv2.FILLED)
# cv2.rectangle(overlay, (int(bar), 100), (0, 0), (255,255,255), cv2.FILLED)
img = cv2.addWeighted(overlay, alpha, img, 1 - alpha, 0)
# Get the correct position to ensure text is within the frame
cv2.rectangle(overlay, (frame_width,100), (0,0), UI_Color, cv2.FILLED)
cv2.putText(img, text, text_position, font, scale, (255,255,255), thickness)
backBend = True
if counted == True:
backBend = False
counted = False
if backBend == True:
end_time = time.time()
timestamp = end_time - start_time
counted = True
else:
frame_height, frame_width = img.shape[:2]
lineColor = (0,255,0)
text = "PROMPTS WILL SHOW HERE"
position = (20, 60)
font = cv2.FONT_HERSHEY_SIMPLEX
scale = 1
UI_Color = (0, 0, 0)
thickness = 2
text_position = put_text_in_frame(img, text, position, font, scale, (0,0,255), thickness)
overlay = img.copy()
alpha = 0.7 # Adjust opacity here
cv2.rectangle(overlay, (frame_width, 100), (0, 0), UI_Color, cv2.FILLED)
# cv2.rectangle(overlay, (int(bar), 100), (0, 0), (255,255,255), cv2.FILLED)
img = cv2.addWeighted(overlay, alpha, img, 1 - alpha, 0)
# Get the correct position to ensure text is within the frame
cv2.rectangle(overlay, (frame_width,100), (0,0), UI_Color, cv2.FILLED)
cv2.putText(img, text, text_position, font, scale, (255,255,255), thickness)
# Check for the exercise
color = (0, int(255 * (per / 100)), int(255 * (1 - per / 100))) # Gradual color change from red to green
if per == 100:
color = (0,255,0)
if dir ==0:
count += 0.5
dir = 1
if per == 0:
color = (0,0,255)
if dir == 1:
count += 0.5
dir = 0
if len(lmList) < 2 and not camera_warning_shown:
frame_height, frame_width = img.shape[:2]
text = "BODY IS NOT VISIBLE"
position = (250, 250)
font = cv2.FONT_HERSHEY_SIMPLEX
scale = 1
color = (0, 0, 255)
thickness = 2
# Get the correct position to ensure text is within the frame
text_position = put_text_in_frame(img, text, position, font, scale, color, thickness)
cv2.putText(img, text, text_position, font, scale, color, thickness)
camera_warning_shown = True
timestamps.append(int(timestamp))
shoulder_timestamps.append(int(shoulder_timestamp))
timestamps = list(set(timestamps))
shoulder_timestamps = list(set(shoulder_timestamps))
cTime = time.time()
fps = 1/(cTime -pTime)
pTime = cTime
#cv2.putText(img, f'{fps}', (50, 100), cv2.FONT_HERSHEY_PLAIN, 5, (255, 0, 0), 5)
canvas = np.zeros((frame_height, frame_width + ui_width, 3), dtype=np.uint8)
# Overlay background image onto canvas
canvas[:, :frame_width] = img
# Draw the bar on the right side of the canvas
cv2.rectangle(canvas, (frame_width, 100), (frame_width + 170, 0), color, cv2.FILLED)
cv2.rectangle(canvas, (frame_width, int(bar)), (frame_width + 170, frame_height), color, cv2.FILLED)
cv2.putText(canvas, f'{int(per)}%', (frame_width + 60, int(bar) - 10), cv2.FONT_HERSHEY_PLAIN, 2, (255, 255, 255), 2)
# Draw Rep Count on the right side of the canvas
cv2.putText(canvas, f'Reps: {int(count)}', (frame_width + 20, 45), cv2.FONT_HERSHEY_PLAIN, 2, (255, 255, 255), 2)
out.write(canvas)
cap.release()
out.release()
cv2.destroyAllWindows()
self.output_file = output_file
self.performanceFile = legStraight(timestamps, img)
self.secPerformanceFile = hip_instability(shoulder_timestamps, img)
def tBarRows(self, filename_input):
# For Importing Video {Devansh}
cap = cv2.VideoCapture(f"uploads/{filename_input}")
detector = pm.poseDetector()
count = 0
dir = 0
pTime = 0
backBend = False
start_time = time.time()
counted = False
ui_width = 170
lineColor = (0,255,0)
timestamp=0
timestamps=[]
shoulder_backBend = False
shoulder_timestamp = 0
shoulder_timestamps = []
shoulder_counted = False
output_file = 'outputs/output_video.mp4'
file_exists = os.path.exists(output_file)
counting = 1
while file_exists:
filename, extension = os.path.splitext(output_file)
output_file = f"{filename}{counting}{extension}"
counting += 1
file_exists = os.path.exists(output_file)
frame_width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
frame_height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
fps = int(cap.get(cv2.CAP_PROP_FPS))
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
out = cv2.VideoWriter(output_file, fourcc, fps, (frame_width + 170, frame_height))
while True:
success, img = cap.read()
if not success:
break
# img_resized = resize_image(img, width=800) # Resize the frame
img = detector.findPose(img, False)
lmList = detector.findPosition(img, False)
if len(lmList) == 0:
frame_height, frame_width = img.shape[:2]
lineColor = (0,0,255)
text = "BODY IS NOT VISIBLE"
position = (250, 250)
font = cv2.FONT_HERSHEY_SIMPLEX
scale = 1
color = (0, 0, 255)
thickness = 2
# Get the correct position to ensure text is within the frame
text_position = put_text_in_frame(img, text, position, font, scale, color, thickness)
cv2.putText(img, text, text_position, font, scale, color, thickness)
camera_warning_shown = True
if len(lmList) != 0:
# #Right Arm
angle = detector.findAngle(img, 11, 13, 15)
knee_angle = detector.findAngle(img, 25, 23,11, lineColor=lineColor)
if knee_angle > 105 or knee_angle < 65:
frame_height, frame_width = img.shape[:2]
text = "PLEASE KEEP YOUR HIPS AND BACK STABLE"
lineColor = (0,0,255)
position = (20, 60)
font = cv2.FONT_HERSHEY_SIMPLEX
scale = 1
UI_Color = (0, 0, 0)
thickness = 2
text_position = put_text_in_frame(img, text, position, font, scale, (0,0,255), thickness)
overlay = img.copy()
alpha = 0.5 # Adjust opacity here
cv2.rectangle(overlay, (frame_width, 100), (0, 0), UI_Color, cv2.FILLED)
# cv2.rectangle(overlay, (int(bar), 100), (0, 0), (255,255,255), cv2.FILLED)
img = cv2.addWeighted(overlay, alpha, img, 1 - alpha, 0)
# Get the correct position to ensure text is within the frame
cv2.rectangle(overlay, (frame_width,100), (0,0), UI_Color, cv2.FILLED)
cv2.putText(img, text, text_position, font, scale, (255,255,255), thickness)
shoulder_backBend = True
if shoulder_counted == True:
shoulder_backBend = False
shoulder_counted = False
if shoulder_backBend == True:
shoudler_end_time = time.time()
shoulder_timestamp = shoudler_end_time - start_time
shoulder_counted = True
# Calculate backbend angle
backbend_angle = calculate_backbend_angle(lmList)
# Visualize backbend angle on image
# cv2.putText(img, f'Backbend Angle: {backbend_angle}', (20, 50), cv2.FONT_HERSHEY_PLAIN, 2, (255, 0, 0), 2)
# Check if backbend angle is more than 60 degrees
if backbend_angle > 55:
frame_height, frame_width = img.shape[:2]
lineColor = (0,0,255)
# Show "backbend" prompt
text = "YOUR BACK IS BENDING"
position = (20, 60)
font = cv2.FONT_HERSHEY_SIMPLEX
scale = 1
UI_Color = (0, 0, 0)
thickness = 2
text_position = put_text_in_frame(img, text, position, font, scale, (0,0,255), thickness)
overlay = img.copy()
alpha = 0.5 # Adjust opacity here
cv2.rectangle(overlay, (frame_width, 100), (0, 0), UI_Color, cv2.FILLED)
# cv2.rectangle(overlay, (int(bar), 100), (0, 0), (255,255,255), cv2.FILLED)
img = cv2.addWeighted(overlay, alpha, img, 1 - alpha, 0)
# Get the correct position to ensure text is within the frame
cv2.rectangle(overlay, (frame_width,100), (0,0), UI_Color, cv2.FILLED)
cv2.putText(img, text, text_position, font, scale, (255,255,255), thickness)
camera_warning_shown = True
backBend = True
if counted == True:
backBend = False
counted = False
if backBend == True:
end_time = time.time()
timestamp = end_time - start_time
counted = True
else:
frame_height, frame_width = img.shape[:2]
lineColor = (0,255,0)
text = "PROMPTS WILL SHOW HERE"
position = (20, 60)
font = cv2.FONT_HERSHEY_SIMPLEX
scale = 1
UI_Color = (0, 0, 0)
thickness = 2
text_position = put_text_in_frame(img, text, position, font, scale, (0,0,255), thickness)
overlay = img.copy()
alpha = 0.7 # Adjust opacity here
cv2.rectangle(overlay, (frame_width, 100), (0, 0), UI_Color, cv2.FILLED)
# cv2.rectangle(overlay, (int(bar), 100), (0, 0), (255,255,255), cv2.FILLED)
img = cv2.addWeighted(overlay, alpha, img, 1 - alpha, 0)
# Get the correct position to ensure text is within the frame
cv2.rectangle(overlay, (frame_width,100), (0,0), UI_Color, cv2.FILLED)
cv2.putText(img, text, text_position, font, scale, (255,255,255), thickness)
timestamps.append(int(timestamp))
shoulder_timestamps.append(int(shoulder_timestamp))
#Left Arm
# detector.findAngle(img, 11, 13, 15)
per = np.interp(angle, (200, 270), (0,100))
bar = np.interp(angle, (200, 270), (650, 100))
#print(per)
color = (0, int(255 * (per / 100)), int(255 * (1 - per / 100)))
# Check for the dumbbell curls
if per == 100:
color = (0,255,0)
if dir ==0:
count += 0.5
dir = 1
if per == 0:
color = (0,0,255)
if dir == 1:
count += 0.5
dir = 0
timestamps = list(set(timestamps))
shoulder_timestamps = list(set(shoulder_timestamps))
# Display FPS
cTime = time.time()
fps = 1 / (cTime - pTime)
pTime = cTime
# cv2.putText(img, f'FPS: {int(fps)}', (20, 150), cv2.FONT_HERSHEY_PLAIN, 2, (0, 0, 255), 2)
canvas = np.zeros((frame_height, frame_width + ui_width, 3), dtype=np.uint8)
# Overlay background image onto canvas
canvas[:, :frame_width] = img
# Draw the bar on the right side of the canvas
cv2.rectangle(canvas, (frame_width, 100), (frame_width + 170, 0), color, cv2.FILLED)
cv2.rectangle(canvas, (frame_width, int(bar)), (frame_width + 170, frame_height), color, cv2.FILLED)