معرفی شرکت ها


buteo-0.8.9


Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

توضیحات

Tools for merging Geospatial Analysis and AI.
ویژگی مقدار
سیستم عامل -
نام فایل buteo-0.8.9
نام buteo
نسخه کتابخانه 0.8.9
نگهدارنده []
ایمیل نگهدارنده []
نویسنده -
ایمیل نویسنده Casper Fibaek <casperfibaek@gmail.com>
آدرس صفحه اصلی -
آدرس اینترنتی https://pypi.org/project/buteo/
مجوز -
# Buteo - Geospatial Analysis Meets AI Buteo is a toolbox designed to simplify the process of working with geospatial data in machine learning. It includes tools for reading, writing, and processing geospatial data, as well as tools for creating labels from vector data and generating patches from geospatial data. Buteo makes it easy to ingest data, create training data, and perform inference on geospatial data. Please note that Buteo is under active development, and its API may not be entirely stable. Feel free to report any bugs or suggest improvements. When using, please pin the version of Buteo you are using to avoid breaking changes. For documentation, visit: https://casperfibaek.github.io/buteo/ **Dependencies** </br> `numba` (https://numba.pydata.org/) </br> `gdal` (https://gdal.org/) </br> **Installation** </br> Using pip: ``` pip install gdal pip install buteo ``` Using conda: ``` conda install gdal pip install buteo ``` **Quickstart** ### Reproject (and other functions) to references. (Vector and raster) ```python import buteo as beo OUTDIR = "path/to/output/dir" vector_file_correct_projection = "path/to/vector/file.gpkg" raster_files_wrong_projection = "path/to/raster/files/*.tif:glob" paths_to_reprojected_rasters = beo.reproject_raster( raster_files_with_wrong_projection, vector_file_with_correct_projection, out_path=outdir ) paths_to_reprojected_rasters >>> [path/to/output/dir/file1.tif, path/to/output/dir/file2.tif, ...] ``` ### Align, stack, and make patches from rasters ```python import buteo as beo SRCDIR = "path/to/src/dir/" paths_to_aligned_rasters_in_memory = beo.align_rasters( SRCDIR + "*.tif:glob", ) stacked_numpy_arrays = beo.raster_to_array( paths_to_aligned_rasters_in_memory, ) patches = beo.array_to_patches( stacked_numpy_arrays, 256, offsets_y=1, # 1 overlap at 1/2 patch size (128) offsets_x=1, # 1 overlap at 1/2 patch size (128) ) # patches_nr, height, width, channels patches >>> np.ndarray([10000, 256, 256, 9]) ``` ### Predict a raster using a model ```python import buteo as beo RASTER_PATH = "path/to/raster/raster.tif" RASTER_OUT_PATH = "path/to/raster/raster_pred.tif" array = beo.raster_to_array(RASTER_PATH) callback = model.predict # from pytorch, keras, etc.. # Predict the raster using overlaps, and borders. # Merge using different methods. (median, mad, mean, mode, ...) predicted = predict_array( array, callback, tile_size=256, ) # Write the predicted raster to disk beo.array_to_raster( predicted, reference=RASTER_PATH, out_path=RASTER_OUT_PATH, ) # Path to the predicted raster >>> "path/to/raster/raster_pred.tif" ``` </br> | Example Colabs | | |---------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | Create labels from OpenStreetMap data | [![Open All Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/casperfibaek/buteo/blob/master/examples/create_labels_from_osm_data.ipynb) | | Scheduled cleaning of geospatial data | [![Open All Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/casperfibaek/buteo/blob/master/examples/rocket_example.ipynb) | | Clip and remove noise from rasters | [![Open All Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/casperfibaek/buteo/blob/master/examples/clip_and_remove_noise_raster.ipynb) | | Sharpen nightlights data | [![Open All Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/casperfibaek/buteo/blob/master/examples/process_nightlights.ipynb) | | Filters and morphological operations | [![Open All Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/casperfibaek/buteo/blob/master/examples/filters_and_morphology.ipynb) | </br> The toolbox is being developed by ESA-Philab, NIRAS, and Aalborg University. # Dependencies gdal numba optional: orfeo-toolbox esa-snap


نیازمندی

مقدار نام
- numba>=0.56
- psutil>=5.4.8
- tqdm>=4.62.3


زبان مورد نیاز

مقدار نام
>=3.7 Python


نحوه نصب


نصب پکیج whl buteo-0.8.9:

    pip install buteo-0.8.9.whl


نصب پکیج tar.gz buteo-0.8.9:

    pip install buteo-0.8.9.tar.gz