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ZIP Archive - 67.0 MB - MD5: 5cea76ac76c3b1bf5cbcff31142d7f44
This is the CityGML LOD derivation module that developed by Fraunhofer Singaproe. It was written in Python 2.7. It has the following main modules: 1. CityGMLGui.py to handle input/output CityGML files, invoke a viewer as well as invoke desired LOD generation. 2. gml4to3.py to...
Plain Text - 447 B - MD5: 79950438e772c8ea05f5c51a637a8674
Aug 11, 2020 - Fully automatic CityGML-compliant city model derivation on demand
Erdt, Marius; Zhang, Xingzi; Johan, Henry, 2020, "Source code to generate a training dataset for text recognition of Singapore's city area names and block numbers", https://doi.org/10.21979/N9/5LJ3YC, DR-NTU (Data), V1
Source code for training a deep learning model to recognise hand written text in an image. In particular, the model recognises Singapore's city area names as well as HDB block numbers.
application/x-font-ttf - 139.8 KB - MD5: c52b9663555e0b2f85da148d2ede3fe9
application/x-font-ttf - 35.1 KB - MD5: e0488473551335d86a2fa9d40b88f2c2
application/x-font-ttf - 62.5 KB - MD5: b3431dba10e27f650ab860da2775b426
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