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[Introduction]
MaskRCNN APP can be used in factory defect detection, medical image analysis, fish image analysis, biological image analysis, advanced driving assistance systems, autonomous vehicles, etc. As shown in the figure above, check whether the person is wearing a mask.
[Operation steps and instructions]
Before using MaskRCNN for training or object detection, please make sure that the dataset folder is selected correctly.
The "browse" button next to the "Select Dataset" field can open the data folder location to facilitate users to confirm and modify.
Prepare:
1.annotation pascal voc xml: Open the annotation webpage for image annotation.
2.delete log: Delete log folder.
Train:
After marking the images, you can start training.
Note:
Please keep mask_rcnn_coco.h5 in the model folder before training, and delete mask_rcnn_mask.h5.
inference:
There are several ways of inference:
4. inference: Inference of a single image, you can set the image path you want to infer in the inference image path of Parameter (under the folder selected in the data folder).
5.evaluation mAP: Calculate the mAP of the valid folder.
6.inference api: Use web pages for image inference. After pressing the "6.inference api" button, press the "7.inference api browser" button to open the web page.
Be sure to check the inference image path and inference model path before making inferences.
Thanks for our customers
Taiwan 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.
