Workouts Monitoring using Ultralytics YOLO11

Monitoring workouts through pose estimation with Ultralytics YOLO11 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.

观看： Workouts Monitoring using Ultralytics YOLO11 | Pushups, Pullups, Ab Workouts

锻炼监测的优势？

• 优化性能：根据监测数据定制锻炼计划，以获得更好的效果。
• 实现目标：跟踪和调整健身目标，以取得可衡量的进展。
• 个性化：根据个人数据定制锻炼计划，提高效率。
• 健康意识：及早发现表明存在健康问题或训练过度的模式。
• 知情决策：以数据为依据，做出调整常规和设定现实目标的决定。

真实世界的应用

锻炼监测	锻炼监测
俯卧撑计数	引体向上计数

import cv2

from ultralytics import solutions

cap = cv2.VideoCapture("path/to/video/file.mp4")
assert cap.isOpened(), "Error reading video file"
w, h, fps = (int(cap.get(x)) for x in (cv2.CAP_PROP_FRAME_WIDTH, cv2.CAP_PROP_FRAME_HEIGHT, cv2.CAP_PROP_FPS))

gym = solutions.AIGym(
    model="yolo11n-pose.pt",
    show=True,
    kpts=[6, 8, 10],
)

while cap.isOpened():
    success, im0 = cap.read()
    if not success:
        print("Video frame is empty or video processing has been successfully completed.")
        break
    im0 = gym.monitor(im0)

cv2.destroyAllWindows()

import cv2

from ultralytics import solutions

cap = cv2.VideoCapture("path/to/video/file.mp4")
assert cap.isOpened(), "Error reading video file"
w, h, fps = (int(cap.get(x)) for x in (cv2.CAP_PROP_FRAME_WIDTH, cv2.CAP_PROP_FRAME_HEIGHT, cv2.CAP_PROP_FPS))

video_writer = cv2.VideoWriter("workouts.avi", cv2.VideoWriter_fourcc(*"mp4v"), fps, (w, h))

gym = solutions.AIGym(
    show=True,
    kpts=[6, 8, 10],
)

while cap.isOpened():
    success, im0 = cap.read()
    if not success:
        print("Video frame is empty or video processing has been successfully completed.")
        break
    im0 = gym.monitor(im0)
    video_writer.write(im0)

cv2.destroyAllWindows()
video_writer.release()

关键点地图

论据 AIGym

论据 model.predict

论据 model.track

常见问题

How do I monitor my workouts using Ultralytics YOLO11?

To monitor your workouts using Ultralytics YOLO11, you can utilize the pose estimation capabilities to track and analyze key body landmarks and joints in real-time. This allows you to receive instant feedback on your exercise form, count repetitions, and measure performance metrics. You can start by using the provided example code for pushups, pullups, or ab workouts as shown:

import cv2

from ultralytics import solutions

cap = cv2.VideoCapture("path/to/video/file.mp4")
assert cap.isOpened(), "Error reading video file"
w, h, fps = (int(cap.get(x)) for x in (cv2.CAP_PROP_FRAME_WIDTH, cv2.CAP_PROP_FRAME_HEIGHT, cv2.CAP_PROP_FPS))

gym = solutions.AIGym(
    line_width=2,
    show=True,
    kpts=[6, 8, 10],
)

while cap.isOpened():
    success, im0 = cap.read()
    if not success:
        print("Video frame is empty or video processing has been successfully completed.")
        break
    im0 = gym.monitor(im0)

cv2.destroyAllWindows()

有关进一步的自定义和设置，请参阅文档中的AIGym部分。

What are the benefits of using Ultralytics YOLO11 for workout monitoring?

Using Ultralytics YOLO11 for workout monitoring provides several key benefits:

• 优化性能：根据监测数据定制锻炼计划，可以取得更好的效果。
• 实现目标：轻松跟踪和调整健身目标，取得可衡量的进展。
• 个性化：根据个人数据定制锻炼计划，达到最佳效果。
• 健康意识：及早发现表明潜在健康问题或过度训练的模式。
• 知情决策：以数据为依据做出决策，调整常规工作，制定切实可行的目标。

您可以观看YouTube 视频演示，了解这些优势的实际效果。

How accurate is Ultralytics YOLO11 in detecting and tracking exercises?

Ultralytics YOLO11 is highly accurate in detecting and tracking exercises due to its state-of-the-art pose estimation capabilities. It can accurately track key body landmarks and joints, providing real-time feedback on exercise form and performance metrics. The model's pretrained weights and robust architecture ensure high precision and reliability. For real-world examples, check out the real-world applications section in the documentation, which showcases pushups and pullups counting.

Can I use Ultralytics YOLO11 for custom workout routines?

Yes, Ultralytics YOLO11 can be adapted for custom workout routines. The AIGym 类支持不同的姿势类型，如 "俯卧撑"、"引体向上 "和 "腹肌锻炼"。您可以指定关键点和角度来检测特定的练习。下面是一个设置示例：

from ultralytics import solutions

gym = solutions.AIGym(
    line_width=2,
    show=True,
    kpts=[6, 8, 10],
)

有关设置参数的更多详情，请参阅 论据 AIGym 部分。这种灵活性使您可以监控各种练习，并根据自己的需要定制例程。

How can I save the workout monitoring output using Ultralytics YOLO11?

要保存运动监控输出，可以修改代码，加入一个视频写入器，保存处理过的帧。下面是一个例子：

import cv2

from ultralytics import solutions

cap = cv2.VideoCapture("path/to/video/file.mp4")
assert cap.isOpened(), "Error reading video file"
w, h, fps = (int(cap.get(x)) for x in (cv2.CAP_PROP_FRAME_WIDTH, cv2.CAP_PROP_FRAME_HEIGHT, cv2.CAP_PROP_FPS))

video_writer = cv2.VideoWriter("workouts.avi", cv2.VideoWriter_fourcc(*"mp4v"), fps, (w, h))

gym = solutions.AIGym(
    line_width=2,
    show=True,
    kpts=[6, 8, 10],
)

while cap.isOpened():
    success, im0 = cap.read()
    if not success:
        print("Video frame is empty or video processing has been successfully completed.")
        break
    im0 = gym.monitor(im0)
    video_writer.write(im0)

cv2.destroyAllWindows()
video_writer.release()

此设置可将监控视频写入输出文件。有关详情，请参阅 "使用保存输出进行锻炼监控"部分。

📅 Created 10 months ago ✏️ Updated 10 days ago

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