Human body posture detection, detecting the position of human nose, eyes, ears, neck, shoulders, elbows, wrists, hip joints, knee joints, and ankles.
[Operation steps and instructions]
1. Prepare the dataset
The dataset used by the APP is the dataset of coco2017. Select the dataset to be used in Select Dataset.
If you want to use your own dataset, please make a copy of coco2017 and place it in the same location as coco2017 (press the location opened in View), and replace the file by yourself.
Note: that the marked file must be a json file in object keypoints format and the name of the label file in the train/annotations folder must be "person_keypoints_train.json", and the name of the label file in the val/annotations folder must be "val.json".
2. Prepare data
Press 1. Prepare train labels
Generate the train_annotation.pkl file needed for training.
Press 2. train (GPU) to start training.
If you need to choose a different pretrained model or set a different batch size, you can fill in the Parameter field on the right.
The trained model is placed in the model folder.
There are three types of inferences, inference leaflets, inference to a whole folder, and inference to webcam.
If you need to select the model for inference, please select or enter the file name in the Parameter inference model Path area.
Press 3. inference (GPU) to select the image to be inferred.
(2) inference folder
Press 4. inference folder (GPU) to select the folder to be inferred.
(3) webcam inference
Press 5. inference webcam (GPU) to turn on the webcam for inference.
The webcam id can be set to use which webcam.
After downloading this software, please use 7zip to unzip it. If you would like to try it, please type "TRY30" to activate it. The 30 days trial is only one time for one computer.
Thanks for our customersTaiwan University, Tsing Hua University, Yang Ming Chiao Tung University, Cheng Kung University, Taipei Medical University, Taipei University of Nursing and Health Sciences, National Chung Hsing University, Chi Nan University, Ilan University, United University, Defence University, Military Academy, Naval Academy, Feng Chia University, Chang Gung University, I-Shou University, Shih Chien University, Taiwan University of Science and Technology, Taichung University of Science and Technology, Yunlin University of Science and Technology, Chin-Yi University of Science, Formosa University, Pintung University of Science and Technology, Kaohsiung University of Science and Technology, Chaoyang University of Technology, Ming Chi University of Technology, Southern Taiwan University of Science and Technology, China University of Technology, Gushan Senior High School, Taipei Veterans General Hospital, Chang Gung Medical Foundation, Tzu Chi Medical Foundation, E-Da Hospital, Industry Technology Research Institute, Institute for Information Industry, Chung-Shan Institute of Science and Technology, Armaments Bureau, Ministry of Justice Investigation Bureau, Institute of Nuclear Energy Research, Endemic Species Research Institute, Institute of Labor, Occupational Safety And Health, Metal Industries Research & Development Centre, Taiwan Instrument Research Institute, Automotive Research & Testing Center, Taiwan Water Corporation, Taiwan Semiconductor Manufacturing Co., Ltd., United Microelectronics Corp., Nanya Technology, Winbond Electronics Corp., Xintec Inc., Arima Lasers Corporation, AU Optronics Corporation, Innolux Corporation, HannStar Display Corporation, Formosa Plastics Group., Formosa Technologies Corporation, Nan Ya Plastics Corp., Formosa Chemicals & Fibre Corporation, Chinese Petroleum Corporation, Logitech, ELAN Microelectronics Corp., Lextar Electronics Corporation, Darfon Electronics Corp., WPG Holdings, Mirle Automation Corporation, Symtek Automation Asia Co., Ltd, ChipMOS Technologies Inc., Dynapack International Technology Corporation, Primax Electronics Ltd., Feng Hsin Steel, China Ecotek, Grade Upon Technology Corp., AAEON Technology Inc., Stark Technology, Inc., Horng Terng Automation Co., Ltd., Zhen Ding Technology Holding Ltd, Boardtek Electronics Corporation, MiTAC International Corporation, Allion Labs, Inc., Sound Land Corp., Hong Hu Tech, etc.