jing-repo / pytorch-opencv-Gesture-RecognitionLinks
The code in this experiment is based on python and uses pytorch to recognize the number represented by the gesture. First use opencv to open the camera to collect gesture grayscale images with a resolution of 64 * 48, then use pytorch to build a convolutional neural network to train the picture, get the training model, and finally call the model…
☆15Updated 5 years ago
Alternatives and similar repositories for pytorch-opencv-Gesture-Recognition
Users that are interested in pytorch-opencv-Gesture-Recognition are comparing it to the libraries listed below
Sorting:
- Simple Online Realtime Tracking with a Deep Association Metric☆10Updated 4 years ago
- ☆12Updated 3 years ago
- ☆27Updated 3 years ago
- 用yoloV3进行人的侦测,再用SPPE(Alphapose)进行骨架提取,再用连续30帧的ST-GCN进行行为识别。站立、走路、跌倒行为识别,在https://github.com/GajuuzZ/Human-Falling-Detect-Tracks的./models里…☆73Updated 4 years ago
- Efficient dual attention SlowFast networks for video action recognition☆24Updated 3 years ago
- ☆60Updated 2 years ago
- 基于DeepSORT算法实现端到端的行人多目标跟踪。☆23Updated 5 years ago
- This project is designed to classify human action recognition datasets with a CNN + LSTM model.☆18Updated 6 years ago
- pytorch☆64Updated 4 years ago
- Contains code for C3D, LCN and TSM for action recognition models.☆10Updated 5 years ago
- 基于MAX78000的猫咪识别喂食器,使用SSD目标检测网络,在单片机的CNN加速器上进行神经网络计算☆11Updated 2 years ago
- A multi-task(detection, tracking, dense estimation, object counting) frame-work based on yolov5+deepsort☆37Updated 4 years ago
- 动作识别(Action Recognition)常见模型的Pytorch实现☆33Updated 4 years ago
- Code for the paper: "Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTM"☆61Updated last year
- 基于PyQt5开发,使用多线程和Socket通信,北理18级小学期大作业,远程医疗云监控系统☆14Updated 4 years ago
- DeeCamp26组项目——基于图像分割对卫星遥感图像进行国土分类☆18Updated 6 years ago
- all code used by python(including web-crawler,deeplearning)☆28Updated 4 years ago
- 基于lightopenpose的跌倒、运动动作训练与识别☆36Updated 3 years ago
- Action recognition tutorial using UCF-101 dataset.☆28Updated 3 years ago
- This the code of paper "Generative Adversarial Network Based Abnormal Behavior Detection in Massive Crowd Videos: A Hajj Case Study"☆11Updated 4 years ago
- ☆86Updated 4 years ago
- AlphaPose_yolovx include yolov3, yolov4, yolov5.☆71Updated 4 years ago
- YOLO-POSE was used for key point detection, Bytetrack for tracking, and STGCN for fall and other behavior recognition☆45Updated 2 years ago
- ☆62Updated 6 years ago
- An example of how to use yolov4 to train a module to recognize vehicles in given images☆16Updated 5 years ago
- Using GRIT dataset, built model combining 2D CNN to LSTM to perform real-time gesture recognition from webCam video feed. Built another m…☆18Updated 7 years ago
- This is a repo platform for elderly abnormal behavior care☆11Updated 3 years ago
- C3D-LSTM implementation in PyTorch [WACV 2019]☆38Updated 5 years ago
- Here I integrated the YOLOv5 object detection algorithm with my own created dataset which consists of human activity images to achieve lo…☆39Updated 3 years ago
- Code for the paper "Human Activity Analysis: Iterative Weak/Self-Supervised Learning Frameworks for Detecting Abnormal Events", IJCB 2020☆46Updated 2 years ago