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GitHub / swiss-territorial-data-lab / object-detector
A suite of Python scripts allowing the end-user to use Deep Learning to detect objects in georeferenced raster images.
Stars: 15
Forks: 1
Open Issues: 2
License: mit
Language: Python
Repo Size: 23.2 MB
Dependencies:
98
Created: over 3 years ago
Updated: 9 days ago
Last pushed: 9 days ago
Last synced: 9 days ago
Topics: cnn, cnn-pytorch, deep-learning, deep-neural-networks, detectron2, object-detection, raster, stdl, task-idet
Files
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Readme
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Dependencies
requirements.in
pypi
.github/workflows/analyze.yml
actions
- actions/checkout v2 composite
- sonarsource/sonarqube-scan-action master composite
Dockerfile
docker
- nvidia/cuda 11.3.1-runtime-ubuntu20.04 build
docker-compose.yml
docker
setup.py
pypi
requirements.txt
pypi
- absl-py ==1.2.0
- affine ==2.3.1
- antlr4-python3-runtime ==4.9.3
- appdirs ==1.4.4
- attrs ==22.1.0
- black ==21.4b2
- cachetools ==5.2.0
- certifi ==2022.9.24
- charset-normalizer ==2.1.1
- click ==8.1.3
- click-plugins ==1.1.1
- cligj ==0.7.2
- cloudpickle ==2.2.0
- contourpy ==1.0.5
- cycler ==0.11.0
- fiona ==1.8.21
- fonttools ==4.37.4
- future ==0.18.2
- fvcore ==0.1.5.post20220512
- gdal ==3.0.4
- geopandas ==0.11.1
- google-auth ==2.12.0
- google-auth-oauthlib ==0.4.6
- grpcio ==1.49.1
- hydra-core ==1.2.0
- idna ==3.4
- importlib-metadata ==5.0.0
- importlib-resources ==5.10.0
- iopath ==0.1.9
- joblib ==1.2.0
- kiwisolver ==1.4.4
- markdown ==3.4.1
- markupsafe ==2.1.1
- matplotlib ==3.6.1
- mercantile ==1.2.1
- munch ==2.5.0
- mypy-extensions ==0.4.3
- numpy ==1.23.3
- oauthlib ==3.2.1
- omegaconf ==2.2.3
- opencv-python ==4.6.0.66
- packaging ==21.3
- pandas ==1.5.0
- pathspec ==0.10.1
- pillow ==9.2.0
- plotly ==5.10.0
- portalocker ==2.5.1
- protobuf ==3.19.6
- pyasn1 ==0.4.8
- pyasn1-modules ==0.2.8
- pycocotools ==2.0.5
- pydot ==1.4.2
- pyparsing ==3.0.9
- pyproj ==3.4.0
- python-dateutil ==2.8.2
- pytz ==2022.4
- pyyaml ==6.0
- rasterio ==1.3.2
- rdp ==0.8
- regex ==2022.9.13
- requests ==2.28.1
- requests-oauthlib ==1.3.1
- rsa ==4.9
- rtree ==1.0.0
- shapely ==1.8.4
- six ==1.16.0
- snuggs ==1.4.7
- supermercado ==0.2.0
- tabulate ==0.9.0
- tenacity ==8.1.0
- tensorboard ==2.10.1
- tensorboard-data-server ==0.6.1
- tensorboard-plugin-wit ==1.8.1
- termcolor ==2.0.1
- toml ==0.10.2
- tqdm ==4.64.1
- typing-extensions ==4.4.0
- urllib3 ==1.26.12
- werkzeug ==2.2.2
- wheel ==0.37.1
- yacs ==0.1.8
- zipp ==3.9.0