DeepMorph

所属分类:人工智能/神经网络/深度学习
开发工具:Python
文件大小:0KB
下载次数:1
上传日期:2024-02-29 16:46:11
上 传 者sh-1993
说明:  二叠纪末至三叠纪初海洋化石的形态学分析
(Morphological analysis of latest Permian to earliest Triassic marine fossil)

文件列表:
U2-Net/
Figure 1 Schematic of pipeline.png
LICENSE
PT_ammonoids_disparity.R
ammonoids_landmarks.py
requirements.txt
selectivity_simulations.py

# DeepMorph Morphological analysis of the latest Permian to earliest Triassic marine fossils. 1.) We collected the fossil images from publications; 2) U2-Net is used to extract the binary images; 3) ammonoids_landmarks.py can extract the contours of fossils and we used geometric morphometrics to get landmarks and semi-landmarks, and coordinates will be saved for morphological analyze; 4) alignment of specimens is based on R package, i.e., geomorph, then we used disparity for morphological quantification. ![image](https://github.com/XiaokangLiuCUG/DeepMorph/blob/main/Figure%201%20Schematic%20of%20pipeline.png)

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