From 1032f089c311c008a1a8fb297d8b46a991febcb1 Mon Sep 17 00:00:00 2001 From: Nick Weir Date: Mon, 20 Apr 2020 14:57:07 -0400 Subject: [PATCH] Release version 0.2.2 (#348) * Add files via upload * implementing new CRS management with pyproj * loosening version restrictions * removing WIP GeoTIFFDataset added by accident * implementing new CRS management with pyproj * Update environment-gpu.yml * loosening version restrictions * removing WIP GeoTIFFDataset added by accident * pinning to dev version of shapely * debugging syntax * debugging requirements and setup.py - diffs btwn conda and pypi * pinning shapely to 1.7.1dev * adding dependency link * finally got shapely installed from gh * why is this still not working * fixing pip install flags to accommodate git install * trying another way to get shapely... * fixing pyyaml reqt * hotfix split_multi_geoms() * hotfix split_multi_geoms() * fixing split_multi_geometries and adding test * debugged split_multi_geometries and wrote new tests * adding dependency_link for shapely in setup.py * fixing version regex to include characters, e.g. "0.2.2dev0" * [WIP] Bug fixes, geojson2coco improvements, restrict_by_aoi, and nodata filling (#331) * added nodata threshold option for raster tiler for cases where large portions of image have nodata * fixed issue where the aoi boundary was not intersected with src_img bounds prior to generating tile bounds list and added warnign about multipoly * reverse sign on nodata threshold check and add a docstring to tile function * impements restrict_to_aoi in rastertiler * fixed naming of raster tiles in case restrict_to_aoi is used * original tests pass for raster tiler * added remove multipolygon option to geojson2coco, they cause it to fail * fill_no_data func for tiler with options for mean, arbitrary value * added remove multipolygon function for geojson2coco * option to override crs in geojson_to_px_gdf to fix for epsg being used for wkt projections when gdfs are saved as geojson and fix for missing crs info in vector tiler * add override options for coco * bug fixes for tiler when fill no data is used, nodata_percentage is calculated correctly now * added comment on not cropping in tiler * return fill values from raster tiler * bug fix for fill_all_nodata and instance mask should return empty arr with same shape as reference_im * added filtering for geometry collections to remove_multipolygon function and updated description for geojson2coco * bug fix for case where fill value is not the mean * new function for nodata aware instance mask conversion with tiler inputs, test for instance masking, handling necessary use of rasterio crs in _check_crs * Fixing torchvision pin in environment.yml * fixed test * update CHANGELOG, environments for shapely dev for np support, removed coco crs override, update tqdm * small updates, tests pass * review updates: tqdm import switch, explode multipoly option, _check_crs change * fixed get_overlapping_subset to use new return_Rasterio flag * added override crs option back in to geojson_to_coco * add chceck for src gdf to have a crs attribute Co-authored-by: Ubuntu Co-authored-by: Nick Weir * Pinning GDAL version to resolve compatibility issue with Fiona * Fix stage of val_datagen in Trainer (#345) * Fix stage of val_datagen in Trainer * updating changelog and solaris version Co-authored-by: jshermeyer Co-authored-by: Ryan Avery Co-authored-by: Ubuntu Co-authored-by: Daniel Hogan <6313241+dphogan@users.noreply.github.com> Co-authored-by: Kaizaburo Chubachi --- .travis.yml | 3 +- CHANGELOG.md | 18 +++ docs/conf.py | 4 +- environment-gpu.yml | 11 +- environment.yml | 10 +- requirements.txt | 22 ++- setup.py | 26 ++-- solaris/__init__.py | 2 +- solaris/data/coco.py | 26 +++- .../nebraska_landsat5_with_nodata_wgs84.tif | Bin 0 -> 26374284 bytes .../nebraska_wgs84_with_nodata_labels.geojson | 16 +++ ...sat5_with_nodata_wgs84_-101.003_41.774.tif | Bin 0 -> 33176 bytes ...sat5_with_nodata_wgs84_-101.044_41.691.tif | Bin 0 -> 33176 bytes ...sat5_with_nodata_wgs84_-101.044_41.732.tif | Bin 0 -> 33176 bytes ...sat5_with_nodata_wgs84_-101.044_41.774.tif | Bin 0 -> 33176 bytes ...sat5_with_nodata_wgs84_-101.085_41.691.tif | Bin 0 -> 33176 bytes ...sat5_with_nodata_wgs84_-101.085_41.732.tif | Bin 0 -> 33176 bytes ...sat5_with_nodata_wgs84_-101.085_41.774.tif | Bin 0 -> 33176 bytes ...sat5_with_nodata_wgs84_-101.127_41.691.tif | Bin 0 -> 33176 bytes ...sat5_with_nodata_wgs84_-101.127_41.732.tif | Bin 0 -> 33176 bytes ...sat5_with_nodata_wgs84_-101.127_41.774.tif | Bin 0 -> 33176 bytes solaris/data/restrict_aoi_test.geojson | 8 ++ solaris/data/split_multi_grouped_result.json | 17 ++- solaris/data/split_multi_result.json | 17 ++- .../empty_geoms_-101.003_41.774.tif | Bin 0 -> 16770 bytes .../empty_geoms_-101.044_41.691.tif | Bin 0 -> 16770 bytes .../empty_geoms_-101.044_41.732.tif | Bin 0 -> 16770 bytes .../empty_geoms_-101.085_41.774.tif | Bin 0 -> 16770 bytes .../empty_geoms_-101.127_41.774.tif | Bin 0 -> 16770 bytes .../geoms_-101.044_41.774.tif | Bin 0 -> 33182 bytes .../geoms_-101.085_41.691.tif | Bin 0 -> 16770 bytes .../geoms_-101.085_41.732.tif | Bin 0 -> 33182 bytes .../geoms_-101.127_41.691.tif | Bin 0 -> 33182 bytes .../geoms_-101.127_41.732.tif | Bin 0 -> 65990 bytes .../geoms_-101.003_41.774.geojson | 1 + .../geoms_-101.044_41.691.geojson | 1 + .../geoms_-101.044_41.732.geojson | 1 + .../geoms_-101.044_41.774.geojson | 8 ++ .../geoms_-101.085_41.691.geojson | 7 + .../geoms_-101.085_41.732.geojson | 8 ++ .../geoms_-101.085_41.774.geojson | 1 + .../geoms_-101.127_41.691.geojson | 8 ++ .../geoms_-101.127_41.732.geojson | 10 ++ .../geoms_-101.127_41.774.geojson | 1 + solaris/eval/challenges.py | 18 ++- solaris/nets/datagen.py | 5 + solaris/nets/train.py | 2 +- solaris/raster/image.py | 2 - solaris/tile/raster_tile.py | 132 +++++++++++++++--- solaris/tile/vector_tile.py | 11 +- solaris/utils/core.py | 42 ++---- solaris/utils/geo.py | 98 ++++++------- solaris/vector/mask.py | 68 ++++++++- solaris/vector/polygon.py | 38 ++++- tests/test_nets/test_datagen.py | 2 +- tests/test_tile/test_tile.py | 71 ++++++++++ tests/test_utils/test_core.py | 12 +- tests/test_utils/test_geo.py | 21 ++- 58 files changed, 583 insertions(+), 165 deletions(-) create mode 100644 solaris/data/nebraska_landsat5_with_nodata_wgs84.tif create mode 100644 solaris/data/nebraska_wgs84_with_nodata_labels.geojson create mode 100644 solaris/data/rastertile_test_fill_nodata_expected/aoi_restricted_nebraska_landsat5_with_nodata_wgs84_-101.003_41.774.tif create mode 100644 solaris/data/rastertile_test_fill_nodata_expected/aoi_restricted_nebraska_landsat5_with_nodata_wgs84_-101.044_41.691.tif create mode 100644 solaris/data/rastertile_test_fill_nodata_expected/aoi_restricted_nebraska_landsat5_with_nodata_wgs84_-101.044_41.732.tif create mode 100644 solaris/data/rastertile_test_fill_nodata_expected/aoi_restricted_nebraska_landsat5_with_nodata_wgs84_-101.044_41.774.tif create mode 100644 solaris/data/rastertile_test_fill_nodata_expected/aoi_restricted_nebraska_landsat5_with_nodata_wgs84_-101.085_41.691.tif create mode 100644 solaris/data/rastertile_test_fill_nodata_expected/aoi_restricted_nebraska_landsat5_with_nodata_wgs84_-101.085_41.732.tif create mode 100644 solaris/data/rastertile_test_fill_nodata_expected/aoi_restricted_nebraska_landsat5_with_nodata_wgs84_-101.085_41.774.tif create mode 100644 solaris/data/rastertile_test_fill_nodata_expected/aoi_restricted_nebraska_landsat5_with_nodata_wgs84_-101.127_41.691.tif create mode 100644 solaris/data/rastertile_test_fill_nodata_expected/aoi_restricted_nebraska_landsat5_with_nodata_wgs84_-101.127_41.732.tif create mode 100644 solaris/data/rastertile_test_fill_nodata_expected/aoi_restricted_nebraska_landsat5_with_nodata_wgs84_-101.127_41.774.tif create mode 100644 solaris/data/restrict_aoi_test.geojson create mode 100644 solaris/data/vectortile_test_filled_expected/empty_geoms_-101.003_41.774.tif create mode 100644 solaris/data/vectortile_test_filled_expected/empty_geoms_-101.044_41.691.tif create mode 100644 solaris/data/vectortile_test_filled_expected/empty_geoms_-101.044_41.732.tif create mode 100644 solaris/data/vectortile_test_filled_expected/empty_geoms_-101.085_41.774.tif create mode 100644 solaris/data/vectortile_test_filled_expected/empty_geoms_-101.127_41.774.tif create mode 100644 solaris/data/vectortile_test_filled_expected/geoms_-101.044_41.774.tif create mode 100644 solaris/data/vectortile_test_filled_expected/geoms_-101.085_41.691.tif create mode 100644 solaris/data/vectortile_test_filled_expected/geoms_-101.085_41.732.tif create mode 100644 solaris/data/vectortile_test_filled_expected/geoms_-101.127_41.691.tif create mode 100644 solaris/data/vectortile_test_filled_expected/geoms_-101.127_41.732.tif create mode 100644 solaris/data/vectortile_test_nonfilled_expected/geoms_-101.003_41.774.geojson create mode 100644 solaris/data/vectortile_test_nonfilled_expected/geoms_-101.044_41.691.geojson create mode 100644 solaris/data/vectortile_test_nonfilled_expected/geoms_-101.044_41.732.geojson create mode 100644 solaris/data/vectortile_test_nonfilled_expected/geoms_-101.044_41.774.geojson create mode 100644 solaris/data/vectortile_test_nonfilled_expected/geoms_-101.085_41.691.geojson create mode 100644 solaris/data/vectortile_test_nonfilled_expected/geoms_-101.085_41.732.geojson create mode 100644 solaris/data/vectortile_test_nonfilled_expected/geoms_-101.085_41.774.geojson create mode 100644 solaris/data/vectortile_test_nonfilled_expected/geoms_-101.127_41.691.geojson create mode 100644 solaris/data/vectortile_test_nonfilled_expected/geoms_-101.127_41.732.geojson create mode 100644 solaris/data/vectortile_test_nonfilled_expected/geoms_-101.127_41.774.geojson diff --git a/.travis.yml b/.travis.yml index 18001165..9ce7d4ce 100644 --- a/.travis.yml +++ b/.travis.yml @@ -32,7 +32,8 @@ install: - conda list -n solaris - source activate solaris - python --version - - pip install -q -e .[test] + - pip install --user -r requirements.txt -vv + - pip install .[test] -vv - pip install codecov pytest-cov pytest==5.3.1 # command to run tests script: diff --git a/CHANGELOG.md b/CHANGELOG.md index 043547a9..48b39638 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -25,6 +25,24 @@ When a new version of `solaris` is released, all of the changes in the Unrelease --- +## Version 0.2.2 + +### Changed +- 20200401, rbavery: new tiler method `fill_all_nodata` to fill nodata with `"mean"` or custom value (#328) +- 20200401, rbavery: option to ignore MultiPolygon and GeometryCollection types in `geojson2coco` since these cannot be converted to COCO. +- 20200401, rbavery: new function `solaris.vector.mask.geojsons_to_masks_and_fill_nodata`, which rasterized vector labels according to raster tile extents. Fills nodata areas in raster tile and corresponding rasterized label raster. +- 20200401, rbavery: new test/example of tiling and creating instance masks with nodata values filled in tile outputs + +### Fixed +- 20200401, rbavery: restrict_to_aoi implemented, sets values outside aoi to nodata value (#327, #240) +- 20200401, rbavery: tqdm prints correctly in notebook and lab (if ipywidgets is enabled according to https://github.com/tqdm/tqdm/issues/394#issuecomment-384743637) (#335) +- 20200401, rbavery: fixed bug where aoi boundary was not intersected with src_img extent prior to tiling +- 20200401, rbavery/nrweir: adapted `_check_crs` to convert `pyproj.CRS` or pass through `rasterio.crs.CRS` class when rasterio crs object is required (for example, reprojecting in the tilers) +- 20200414, zaburo-ch: fixed `val_datagen` to point to the correct augmentation pipeline +--- + +--- + ## Version 0.2.1 ### Changed diff --git a/docs/conf.py b/docs/conf.py index fcfbbb7e..859ba959 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -24,8 +24,8 @@ copyright = u'2018-{}, CosmiQ Works: an IQT Lab'.format(time.strftime("%Y")) # The full version, including alpha/beta/rc tags -release = '0.2.1' -version = '0.2.1' +release = '0.2.2' +version = '0.2.2' # -- General configuration --------------------------------------------------- diff --git a/environment-gpu.yml b/environment-gpu.yml index 2564fcdd..df330e85 100644 --- a/environment-gpu.yml +++ b/environment-gpu.yml @@ -9,11 +9,10 @@ dependencies: - affine>=2.3.0 - albumentations=0.4.3 - fiona>=1.7.13 - - gdal>=3.0.2 - - geopandas=0.6.2 + - gdal=3.0.3 + - geopandas>=0.7.0 - matplotlib>=3.1.2 - networkx>=2.4 - - numpy>=1.17.3,<1.18.0 - opencv>=4.1 - pandas>=0.25.3 - pyproj>=2.1 @@ -21,13 +20,15 @@ dependencies: - pyyaml=5.2 - rasterio>=1.0.23 - requests=2.22.0 - - rio-cogeo>=1.1.6 +# - rio-cogeo>=1.1.6 - rtree>=0.9.3 - scikit-image>=0.16.2 - scipy>=1.3.2 - - shapely>=1.6.4 - torchvision>=0.5.0 - tqdm>=4.40.0 - urllib3>=1.25.7 - tensorflow-gpu=1.13.1 - cuda100 + - pip + - pip: + - git+https://github.com/Toblerity/shapely.git@master#egg=shapely-1.7.1dev # temporary, dev required for numpy array support diff --git a/environment.yml b/environment.yml index 2833abb7..c02dc5b3 100644 --- a/environment.yml +++ b/environment.yml @@ -9,19 +9,19 @@ dependencies: - affine>=2.3.0 - albumentations=0.4.3 - fiona>=1.7.13 - - gdal>=3.0.2 - - geopandas>=0.6.2 + - gdal=3.0.3 + - geopandas>=0.7.0 - matplotlib>=3.1.2 - networkx>=2.4 - numpy>=1.17.3 - opencv>=4.1 - pandas>=0.25.3 - pyproj>=2.1 - - pytorch=1.3.1 + - pytorch>=1.3.1 - pyyaml=5.2 - rasterio>=1.0.23 - requests=2.22.0 - - rio-cogeo>=1.1.6 +# - rio-cogeo>=1.1.6 - rtree>=0.9.3 - scikit-image>=0.16.2 - scipy>=1.3.2 @@ -30,3 +30,5 @@ dependencies: - torchvision>=0.5.0 - tqdm>=4.40.0 - urllib3>=1.25.7 + - pip: + - git+https://github.com/Toblerity/shapely.git@master#egg=shapely-1.7.1dev # temporary, 1.8dev required for numpy array support diff --git a/requirements.txt b/requirements.txt index 7787d021..697119bc 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,26 +1,24 @@ -python>=3.6 pip>=19.0.3 affine>=2.3.0 -albumentations=0.4.3 -fiona>=1.8.13 +albumentations==0.4.3 +fiona>=1.7.13 gdal>=3.0.2 -geopandas>=0.6.2 +geopandas>=0.7.0 matplotlib>=3.1.2 networkx>=2.4 numpy>=1.17.3 -opencv=4.1.0.25 +opencv-python>=4.1 pandas>=0.25.3 pyproj>=2.1 -pytorch=1.3.1 -pyyaml=5.2 +torch>=1.3.1 +pyyaml==5.2 rasterio>=1.0.23 -requests>=2.22.0 -rio-cogeo>=1.1.6 +requests==2.22.0 rtree>=0.9.3 scikit-image>=0.16.2 scipy>=1.3.2 -shapely>=1.6.4 -tensorflow=1.13.1 -torchvision>=0.4.2 +git+git://github.com/toblerity/shapely.git@master#egg=shapely-1.7.1dev +torchvision>=0.5.0 tqdm>=4.40.0 urllib3>=1.25.7 +tensorflow==1.13.1 diff --git a/setup.py b/setup.py index e4e956bb..a5731929 100644 --- a/setup.py +++ b/setup.py @@ -9,7 +9,7 @@ def get_version(): VERSIONFILE = os.path.join('solaris', '__init__.py') initfile_lines = open(VERSIONFILE, 'rt').readlines() - VSRE = r'^__version__ = [\"\']*([\d.]+)[\"\']' + VSRE = r'^__version__ = [\"\']*([\d\w.]+)[\"\']' for line in initfile_lines: mo = re.search(VSRE, line, re.M) if mo: @@ -56,40 +56,43 @@ def check_output(cmd): on_rtd = os.environ.get('READTHEDOCS') == 'True' - if on_rtd: inst_reqs = ['sphinx_bootstrap_theme'] else: inst_reqs = ['pip>=19.0.3', 'affine>=2.3.0', 'albumentations==0.4.3', - 'fiona>=1.8.13', - 'gdal>=3.0.2', - 'geopandas>=0.6.2', + 'fiona>=1.7.13', + 'gdal>=3.0.2' + 'geopandas>=0.7.0', 'matplotlib>=3.1.2', 'networkx>=2.4', 'numpy>=1.17.3', - 'opencv-python>=4.1.0.25', + 'opencv-python>=4.1', 'pandas>=0.25.3', 'pyproj>=2.1', 'torch>=1.3.1', 'pyyaml==5.2', 'rasterio>=1.0.23', - 'requests>=2.22.0', - 'rio-cogeo>=1.1.6', + 'requests==2.22.0', 'rtree>=0.9.3', 'scikit-image>=0.16.2', 'scipy>=1.3.2', - 'shapely>=1.6.4', - 'tensorflow==1.13.1', + 'shapely>=1.7.1dev', 'torchvision>=0.5.0', 'tqdm>=4.40.0', - 'urllib3>=1.25.7'] + 'urllib3>=1.25.7', + 'tensorflow==1.13.1' + ] extra_reqs = { 'test': ['mock', 'pytest', 'pytest-cov', 'codecov']} +# workaround until new shapely release is out +os.system('pip install git+git://github.com/toblerity/shapely@master') + + project_name = 'solaris' setup(name='solaris', version=get_version(), @@ -109,6 +112,7 @@ def check_output(cmd): include_package_data=True, install_requires=inst_reqs, extras_require=extra_reqs, + dependency_links=['https://github.com/toblerity/shapely/tarball/master#egg=shapely-1.7.1dev'], entry_points={'console_scripts': [ 'geotransform_footprints = solaris.bin.geotransform_footprints:main', 'make_graphs = solaris.bin.make_graphs:main', diff --git a/solaris/__init__.py b/solaris/__init__.py index 48a9e32f..ffb04204 100644 --- a/solaris/__init__.py +++ b/solaris/__init__.py @@ -1,3 +1,3 @@ from . import bin, data, eval, nets, raster, tile, utils, vector -__version__ = "0.2.1" +__version__ = "0.2.2" diff --git a/solaris/data/coco.py b/solaris/data/coco.py index 4ec31b97..05617966 100644 --- a/solaris/data/coco.py +++ b/solaris/data/coco.py @@ -1,7 +1,7 @@ from ..utils.core import _check_df_load, _check_geom, get_files_recursively -from ..utils.geo import bbox_corners_to_coco, polygon_to_coco +from ..utils.geo import bbox_corners_to_coco, polygon_to_coco, split_multi_geometries from ..utils.log import _get_logging_level -from ..vector.polygon import geojson_to_px_gdf +from ..vector.polygon import geojson_to_px_gdf, remove_multipolygons import numpy as np import rasterio from tqdm import tqdm @@ -15,7 +15,9 @@ def geojson2coco(image_src, label_src, output_path=None, image_ext='.tif', matching_re=None, category_attribute=None, score_attribute=None, preset_categories=None, include_other=True, info_dict=None, - license_dict=None, recursive=False, verbose=0): + license_dict=None, recursive=False, override_crs=False, + explode_all_multipolygons=False, remove_all_multipolygons=False, + verbose=0): """Generate COCO-formatted labels from one or multiple geojsons and images. This function ingests optionally georegistered polygon labels in geojson @@ -108,6 +110,13 @@ def geojson2coco(image_src, label_src, output_path=None, image_ext='.tif', If `image_src` and/or `label_src` are directories, setting this flag to ``True`` will induce solaris to descend into subdirectories to find files. By default, solaris does not traverse the directory tree. + explode_all_multipolygons : bool, optional + Explode the multipolygons into individual geometries using sol.utils.geo.split_multi_geometries. + Be sure to inspect which geometries are multigeometries, each individual geometries within these + may represent artifacts rather than true labels. + remove_all_multipolygons : bool, optional + Filters MultiPolygons and GeometryCollections out of each tile geodataframe. Alternatively you + can edit each polygon manually to be a polygon before converting to COCO format. verbose : int, optional Verbose text output. By default, none is provided; if ``True`` or ``1``, information-level outputs are provided; if ``2``, extremely @@ -191,6 +200,14 @@ def geojson2coco(image_src, label_src, output_path=None, image_ext='.tif', for gj in tqdm(label_list): logger.debug('Reading in {}'.format(gj)) curr_gdf = gpd.read_file(gj) + + if remove_all_multipolygons is True and explode_all_multipolygons is True: + raise ValueError("Only one of remove_all_multipolygons or explode_all_multipolygons can be set to True.") + if remove_all_multipolygons is True and explode_all_multipolygons is False: + curr_gdf = remove_multipolygons(curr_gdf) + elif explode_all_multipolygons is True: + curr_gdf = split_multi_geometries(curr_gdf) + curr_gdf['label_fname'] = gj curr_gdf['image_fname'] = '' curr_gdf['image_id'] = np.nan @@ -207,6 +224,7 @@ def geojson2coco(image_src, label_src, output_path=None, image_ext='.tif', if len(curr_gdf) > 0: # if there are geoms, reproj to px coords curr_gdf = geojson_to_px_gdf( curr_gdf, + override_crs=override_crs, im_path=match_df.loc[match_df['label_fname'] == gj, 'image_fname'].values[0]) curr_gdf['image_id'] = image_ref[match_df.loc[ @@ -221,6 +239,7 @@ def geojson2coco(image_src, label_src, output_path=None, image_ext='.tif', logger.debug('Converting to pixel coordinates.') # match the two images curr_gdf = geojson_to_px_gdf(curr_gdf, + override_crs=override_crs, im_path=list(image_ref.keys())[0]) curr_gdf['image_id'] = list(image_ref.values())[0] curr_gdf = curr_gdf.rename( @@ -403,6 +422,7 @@ def df_to_coco_annos(df, output_path=None, geom_col='geometry', def _row_to_coco(row, geom_col, category_id_col, image_id_col, score_col): "get a single annotation record from a row of temp_df." if score_col is None: + return {'id': row['annotation_id'], 'image_id': int(row[image_id_col]), 'category_id': int(row[category_id_col]), diff --git a/solaris/data/nebraska_landsat5_with_nodata_wgs84.tif b/solaris/data/nebraska_landsat5_with_nodata_wgs84.tif new file mode 100644 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