uvicorn==0.29.0
python-dotenv==0.21.0
PyJWT==2.4.0
pymongo==4.6.3
python-multipart==0.0.9
fastapi==0.110.1
requests==2.31.0
mediapipe==0.9.2.1
discord_webhook==1.3.1
tensorflow==2.8.0
protobuf==3.11
高分项目基于Mediapipe人体关键点+LSTM模型实现跌倒检测源码.zip （89个子文件） 
code Train tools 
images_classification.py 2KB data_augmentation.py 3KB images_resize.py 734B linear_interpolation.py 1KB data_sampled.py 449B images_classification_ur.py 1KB fall.py 2KB pose_get.py 2KB font NotoSansTC-Medium.otf 5.52MB ESP32 WiFiCamera WiFiCamera.ino 266B Manager.h 382B Camera.h 310B Manager.cpp 2KB Camera.cpp 1007B EnvironmentalDetection Manager.h 406B Sensor.h 397B EnvironmentalDetection.ino 247B Manager.cpp 2KB Sensor.cpp 964B Interface src pages Login.tsx 5KB Detection.tsx 2KB 404.tsx 1KB Home.tsx 1KB Settings System.tsx 1KB Account.tsx 1KB react-app-env.d.ts 41B index.tsx 322B assets data.tsx 679B App.tsx 749B api device.ts 760B user.ts 7KB introductionCard.ts 965B notification.ts 2KB context CameraContext.tsx 4KB AuthContext.tsx 1KB components Layouts DashboardNavbar.tsx 5KB UserProfile.tsx 2KB Authentication GuestGuard.tsx 681B AdminGuard.tsx 857B Typography.tsx 5KB LoadingScreen.tsx 765B Loader Wave.tsx 1KB Rectangle.tsx 1KB Settings System UpdateNotificationToken.tsx 4KB User.tsx 4KB UserFrom.tsx 9KB SubmitButton.tsx 684B Account UpdateName.tsx 1KB ShowPasswordButton.tsx 1KB UpdatePassword.tsx 5KB Detection IntroductionCard.tsx 2KB CameraToggleButton.tsx 2KB StateNotification.tsx 582B PredictChart.tsx 2KB CameraScreen.tsx 927B OperationToggleButton.tsx 1KB NotificationToggleButton.tsx 1KB css loadingScreen.css 210B fonts.css 381B functions check.ts 1KB routes.tsx 2KB package.json 1KB tsconfig.json 702B
requirements.txt 208B API main.py 829B api __init__.py 443B detection.py 1KB device.py 710B contact.py 270B user.py 7KB notification.py 2KB functions token.py 850B detection.py 4KB device.py 1KB contact.py 165B user.py 2KB mongodb.py 983B notification.py 3KB Document train.md 4KB images BinaryOutput 
Model_Layer.png 89KB Confusion_Matrix.png 9KB Accuracy.png 36KB After_Linear_Interpolation.png 63KB Before_Linear_Interpolation.png 65KB TernaryOutput Model_Layer.png 115KB Confusion_Matrix.png 16KB Accuracy.png 57KB
Demo.gif 9.26MB video 
Fall_Detection_Test.mp4 19.15MB资源评论
