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磊落家庭三部曲收官黑胶唱片
当我们第一次仰望星空 2xLP
Ⓐ Artist: 磊落 Wanglei & Yile
Ⓛ Label: 磊落声音艺术 & 歌华传媒
Ⓝ Cat. No.: ***-***
Ⓕ Format / Versions:
☉ 180g | 45rpm
☉ 经典黑胶 Classic Black Vinyl
300 x 300 mm 全彩双面折页 1张
200 x 200 mm 绘本 20 Questions 1本
Ⓓ Release Date: 2023年9月2日
___________
+++ Plus: Related Albums
家庭三部曲 前两辑 ——
☉ 2019 不存在的回忆 https://t.cn/A6OSyIva
☉ 2020 厂矿子弟 https://t.cn/A6OSyIvX
其他黑胶专辑 ——
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日期｜2023.11.05（日）
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[送花花]#学术文献分享# 《基于图像语义分割的历史街道空间量化研究》
原文标题：Research on the quantification of historical street space based on image semantic segmentation
【Abstract】Different from the existing empirical landscape measurement methods, this article explores an effective method to quantify the landscape through the use of computer vision perception. First, based on image semantic segmentation technology, a large number of excellent case images are put into image semantic segmentation and annotation tools for image segmentation. Secondly, the image semantic segmentation is used to quantitatively analyze the landscape space elements of the old urban site, and obtain the data value of each landscape element in the excellent case, which provides a reference for the design of the element ratio data basis. Finally, it is applied to the street space in the old city of Macau to perform a quantitative analysis of the computer vision perception of the streets in the old city. Get quantitative suggestions for landscape improvement, and provide new methods for quantitative research and transformation of old urban areas.
Key words：Historical Street Space, image semantic segmentation technology, Quantitative analysis, landscape
引用格式：
Lina Yan, Yile Chen, Liang Zheng, Yi Zhang, Chun Zhu, "Research on the quantification of historical street space based on image semantic segmentation," Proc. SPIE 12168, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), 1216814 (18 March 2022); doi: 10.1117/12.2630998
线上阅读：
https://t.cn/A6OVv13z
原文标题：Research on the quantification of historical street space based on image semantic segmentation
【Abstract】Different from the existing empirical landscape measurement methods, this article explores an effective method to quantify the landscape through the use of computer vision perception. First, based on image semantic segmentation technology, a large number of excellent case images are put into image semantic segmentation and annotation tools for image segmentation. Secondly, the image semantic segmentation is used to quantitatively analyze the landscape space elements of the old urban site, and obtain the data value of each landscape element in the excellent case, which provides a reference for the design of the element ratio data basis. Finally, it is applied to the street space in the old city of Macau to perform a quantitative analysis of the computer vision perception of the streets in the old city. Get quantitative suggestions for landscape improvement, and provide new methods for quantitative research and transformation of old urban areas.
Key words：Historical Street Space, image semantic segmentation technology, Quantitative analysis, landscape
引用格式：
Lina Yan, Yile Chen, Liang Zheng, Yi Zhang, Chun Zhu, "Research on the quantification of historical street space based on image semantic segmentation," Proc. SPIE 12168, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), 1216814 (18 March 2022); doi: 10.1117/12.2630998
线上阅读：
https://t.cn/A6OVv13z
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