Pinned Repositories
Intelligent_lithology_identification
An intelligent lithology identification method is proposed based on the deep learning of rock images. The lithology information and position information in rock images can be predicted using the Faster R-CNN architecture through the RPN proposal generation algorithm and the Fast R-CNN detector.
Intelligent_Rock_Microscopic_Images_Identification
The intelligent lithology identification method is proposed based on the deep learning of rock microscopic images.
sdu2020xzh-Automatic-Mineral-Segmentation
The mineral information and position information of each pixel in rock images is predicted using the U-Net architecture, and the mineral segmentation model is built on ResNet-101.
sdu2020xzh-Intelligent-Lithology-Identification
Target detection of rock images is implemented using DSOD, and the transfer learning model of rock images is built on ResNet-101.
sdu2020xzh's Repositories
sdu2020xzh/sdu2020xzh-Intelligent-Lithology-Identification
Target detection of rock images is implemented using DSOD, and the transfer learning model of rock images is built on ResNet-101.
sdu2020xzh/Intelligent_lithology_identification
An intelligent lithology identification method is proposed based on the deep learning of rock images. The lithology information and position information in rock images can be predicted using the Faster R-CNN architecture through the RPN proposal generation algorithm and the Fast R-CNN detector.
sdu2020xzh/sdu2020xzh-Automatic-Mineral-Segmentation
The mineral information and position information of each pixel in rock images is predicted using the U-Net architecture, and the mineral segmentation model is built on ResNet-101.
sdu2020xzh/Intelligent_Rock_Microscopic_Images_Identification
The intelligent lithology identification method is proposed based on the deep learning of rock microscopic images.