ultralytics/docs/en/guides/workouts-monitoring.md

comments	description	keywords
true	Workouts Monitoring Using Ultralytics YOLOv8	Ultralytics, YOLOv8, Object Detection, Pose Estimation, PushUps, PullUps, Ab workouts, Notebook, IPython Kernel, CLI, Python SDK

Workouts Monitoring using Ultralytics YOLOv8 🚀

Monitoring workouts through pose estimation with Ultralytics YOLOv8 enhances exercise assessment by accurately tracking key body landmarks and joints in real-time. This technology provides instant feedback on exercise form, tracks workout routines, and measures performance metrics, optimizing training sessions for users and trainers alike.

Advantages of Workouts Monitoring?

• Optimized Performance: Tailoring workouts based on monitoring data for better results.
• Goal Achievement: Track and adjust fitness goals for measurable progress.
• Personalization: Customized workout plans based on individual data for effectiveness.
• Health Awareness: Early detection of patterns indicating health issues or overtraining.
• Informed Decisions: Data-driven decisions for adjusting routines and setting realistic goals.

Real World Applications

Workouts Monitoring	Workouts Monitoring
PushUps Counting	PullUps Counting

Example

from ultralytics import YOLO
from ultralytics.solutions import ai_gym
import cv2

model = YOLO("yolov8n-pose.pt")
cap = cv2.VideoCapture("path/to/video.mp4")

gym_object = ai_gym.AIGym()  # init AI GYM module
gym_object.set_args(line_thickness=2, view_img=True, pose_type="pushup", kpts_to_check=[6, 8, 10])

frame_count = 0
while cap.isOpened():
    success, frame = cap.read()
    if not success: exit(0)
    frame_count += 1
    results = model.predict(frame, verbose=False)
    gym_object.start_counting(frame, results, frame_count)

???+ tip "Support"

"pushup", "pullup" and "abworkout" supported

KeyPoints Map

Arguments set_args

Name	Type	Default	Description
kpts_to_check	list	None	List of three keypoints index, for counting specific workout, followed by keypoint Map
view_img	bool	False	Display the frame with counts
line_thickness	int	2	Increase the thickness of count value
pose_type	str	pushup	Pose that need to be monitored, "pullup" and "abworkout" also supported
pose_up_angle	int	145	Pose Up Angle value
pose_down_angle	int	90	Pose Down Angle value