毕业设计基于mediapipe和KNN分类算法的健身计数器.zip （69个子文件） 
mediapipe-Fitness-counter-master markdown_needed 
run.png 52KB
class_name.jpg 43KB sample.jpg 9KB file.jpg 11KB .idea 
other.xml 186B vcs.xml 180B misc.xml 187B inspectionProfiles Project_Default.xml 251B profiles_settings.xml 174B modules.xml 302B .gitignore 182B mediapipe-Fitness-counter.iml 476B
手册.docx 7.66MB code videoprocess.py 7KB counter.py 2KB main.py 1009B videocapture.py 7KB Roboto-Regular.ttf 503KB .idea code.iml 332B other.xml 186B vcs.xml 183B misc.xml 200B inspectionProfiles profiles_settings.xml 174B modules.xml 260B .gitignore 182B video-sample 
pullup-sample.mp4 6.88MB pushup-sample.mp4 3.14MB squat-sample.mp4 7.98MB fitness_poses_csvs_out squat_up.csv 189KB pull_up.csv 25KB pull_down.csv 25KB push_up.csv 198KB squat_down.csv 222KB push_down.csv 190KB visualizer.py 5KB poseembedding.py 8KB
requirements.txt 150B extracttrainingsetkeypoints.py 10KB __pycache__ poseembedding.cpython-310.pyc 5KB extracttrainingsetkeypoints.cpython-39.pyc 7KB resultsmooth.cpython-310.pyc 2KB poseclassifier.cpython-37.pyc 6KB poseclassifier.cpython-310.pyc 6KB videocapture.cpython-39.pyc 3KB trainingsetprocess.cpython-37.pyc 2KB extracttrainingsetkeypoints.cpython-310.pyc 7KB videoprocess.cpython-310.pyc 3KB resultsmooth.cpython-39.pyc 2KB visualizer.cpython-310.pyc 3KB trainingsetprocess.cpython-310.pyc 2KB counter.cpython-37.pyc 1KB visualizer.cpython-39.pyc 3KB counter.cpython-39.pyc 1KB counter.cpython-310.pyc 1KB videoprocess.cpython-37.pyc 3KB visualizer.cpython-37.pyc 3KB resultsmooth.cpython-37.pyc 2KB videocapture.cpython-310.pyc 3KB videoprocess.cpython-38.pyc 3KB poseembedding.cpython-39.pyc 5KB poseclassifier.cpython-39.pyc 6KB extracttrainingsetkeypoints.cpython-37.pyc 7KB trainingsetprocess.cpython-39.pyc 2KB poseembedding.cpython-37.pyc 5KB videoprocess.cpython-39.pyc 3KB videocapture.cpython-37.pyc 3KB trainingsetprocess.py 6KB poseclassifier.py 7KB resultsmooth.py 2KB
