Generative adversarial urban growth prediction of Doha.
Project description
dohamaps
Multi-scale generative adversarial model using tf.keras
to predict future urban growth from satellite map images.
Dependencies
- TensorFlow 2.2.0
- Pillow 7.2.0
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
dohamaps-1.1.1.tar.gz
(9.9 kB
view details)
Built Distribution
dohamaps-1.1.1-py3-none-any.whl
(13.5 kB
view details)
File details
Details for the file dohamaps-1.1.1.tar.gz
.
File metadata
- Download URL: dohamaps-1.1.1.tar.gz
- Upload date:
- Size: 9.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ff51cc20d064f23ca4abc3c622998ebb5fc3b436ab9ba49b5d604c779846dc2a |
|
MD5 | 87b01441189c9447a9fa3b1b906afbac |
|
BLAKE2b-256 | 7d77db213de2c0f6b073479f6f1ae55cbc93dc3273b7bd8fa70f04864c3990f6 |
File details
Details for the file dohamaps-1.1.1-py3-none-any.whl
.
File metadata
- Download URL: dohamaps-1.1.1-py3-none-any.whl
- Upload date:
- Size: 13.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 02297b42e72909319fa9d73fb5917424f9004e2dbcc0ed057170b334c345f675 |
|
MD5 | 31afebfc28e91aca825aca2822a340b0 |
|
BLAKE2b-256 | dd418c57df119472a82920d8a269b5ad0231d42f0cb3e9356f307f623d815a7b |