From 65cfeafc56501de3c172ea2e90c89ee77b3f1762 Mon Sep 17 00:00:00 2001 From: vincentsarago Date: Mon, 3 Oct 2022 15:28:14 -0400 Subject: [PATCH 1/3] forward dataset statistics to ImageClass --- rio_tiler/models.py | 29 +++++++++++++++++++++++++++-- rio_tiler/reader.py | 15 +++++++++++++++ tests/fixtures/blue.tif | Bin 110792 -> 153972 bytes tests/fixtures/cog_rgb.tif | Bin 0 -> 27738 bytes tests/fixtures/green.tif | Bin 111765 -> 154871 bytes tests/fixtures/red.tif | Bin 112047 -> 156191 bytes tests/test_io_stac.py | 13 +++++++++++++ tests/test_models.py | 22 ++++++++++++++++++++++ 8 files changed, 77 insertions(+), 2 deletions(-) create mode 100644 tests/fixtures/cog_rgb.tif diff --git a/rio_tiler/models.py b/rio_tiler/models.py index 31a2c4ff..8341b95a 100644 --- a/rio_tiler/models.py +++ b/rio_tiler/models.py @@ -256,7 +256,7 @@ class ImageData: crs (rasterio.crs.CRS, optional): Coordinates Reference System of the bounds. metadata (dict, optional): Additional metadata. Defaults to `{}`. band_names (list, optional): name of each band. Defaults to `["1", "2", "3"]` for 3 bands image. - + dataset_statistics (list, optional): dataset statistics `{"b1": (min,max), "b2": (min,max)}` """ data: numpy.ndarray = attr.ib() @@ -266,6 +266,9 @@ class ImageData: crs: Optional[CRS] = attr.ib(default=None) metadata: Optional[Dict] = attr.ib(factory=dict) band_names: List[str] = attr.ib() + dataset_statistics: Optional[ + List[Tuple[Optional[float], Optional[float]]] + ] = attr.ib(default=None) @data.validator def _validate_data(self, attribute, value): @@ -331,8 +334,20 @@ def create_from_list(cls, data: Sequence["ImageData"]): ) ) + dataset_statistics = list( + itertools.chain.from_iterable( + [img.dataset_statistics for img in data if img.dataset_statistics] + ) + ) + return cls( - arr, mask, assets=assets, crs=crs, bounds=bounds, band_names=band_names + arr, + mask, + assets=assets, + crs=crs, + bounds=bounds, + band_names=band_names, + dataset_statistics=dataset_statistics, ) def as_masked(self) -> numpy.ma.MaskedArray: @@ -391,6 +406,15 @@ def apply_color_formula(self, color_formula: Optional[str]): def apply_expression(self, expression: str) -> "ImageData": """Apply expression to the image data.""" blocks = get_expression_blocks(expression) + + stats = self.dataset_statistics + if numpy.array(stats).all() is not None: + res = [] + for prod in itertools.product(*stats): # type: ignore + res.append(apply_expression(blocks, self.band_names, numpy.array(prod))) + + stats = list(zip([min(r) for r in zip(*res)], [max(r) for r in zip(*res)])) + return ImageData( apply_expression(blocks, self.band_names, self.data), self.mask, @@ -399,6 +423,7 @@ def apply_expression(self, expression: str) -> "ImageData": bounds=self.bounds, band_names=blocks, metadata=self.metadata, + dataset_statistics=stats, ) def post_process( diff --git a/rio_tiler/reader.py b/rio_tiler/reader.py index 0800ee13..3fd64451 100644 --- a/rio_tiler/reader.py +++ b/rio_tiler/reader.py @@ -188,6 +188,19 @@ def read( boundless=boundless, ) + dataset_statistics = [] + for ix in indexes: + tags = dataset.tags(ix) + stat_min: Optional[float] = None + stat_max: Optional[float] = None + if all( + stat in tags for stat in ["STATISTICS_MINIMUM", "STATISTICS_MAXIMUM"] + ): + stat_min = float(tags.get("STATISTICS_MINIMUM")) + stat_max = float(tags.get("STATISTICS_MAXIMUM")) + + dataset_statistics.append((stat_min, stat_max)) + if force_binary_mask: mask = numpy.where(mask != 0, numpy.uint8(255), numpy.uint8(0)) @@ -209,6 +222,7 @@ def read( bounds=out_bounds, crs=dataset.crs, band_names=[f"b{idx}" for idx in indexes], + dataset_statistics=dataset_statistics, ) return img @@ -387,6 +401,7 @@ def part( bounds=bounds, crs=img.crs, band_names=img.band_names, + dataset_statistics=img.dataset_statistics, ) return read( diff --git a/tests/fixtures/blue.tif b/tests/fixtures/blue.tif index ab527cb4b3f7cf8dd2ddef0c62ca69bec8228577..8f69901112252ec66126aa8a9c4575b8d6e1e86b 100644 GIT binary patch literal 153972 zcmce-c~}!y|2I5yGLtjAK=+ 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z>P)(v_EN%frQtZTpK^B%WK%%&(*Iq$*rfV72LCM=AUMM%LO5cy5dfkFUD<0VEgq_@ zV|OJovms<}OHoJty&a`%fy~^YdtNlAT})2NLn$ip%;h=C|B#)Xt6nPI3Z^Y3TwpvPV21YVjW7Z+u4 zX>`xrt#7~nVjzZt;md!KX4Jm0W5kKRgsLy)?B!?8g)SH+ldNaXzyZ3v8PKm)&v)1jM-P zMW4L7QJJ4Yuuhru`>zMNdG}V#ax)dEEfwFiAjH~n-@SL=NWW432e_e)#yN{BtB3P+=u$|k3ajNd08 z&S_0r#TF&9xORj8;VY!bz$Rrq1W=)o+CxSE#FCXY?M$21>u5t%N3(CGRd&l)1 z{O{l!-3>0Joud4|(WU0jEQC`PT8g@if3VUBX#N}Z_HmcikAKTnjdSc{TJxt|B$W!?>g+k J+y;=G{sZ-dG)w>h diff --git a/tests/test_io_stac.py b/tests/test_io_stac.py index ca24e2dc..2f1c6e9f 100644 --- a/tests/test_io_stac.py +++ b/tests/test_io_stac.py @@ -664,3 +664,16 @@ def raise_for_status(self): s3_get.assert_called_once() assert s3_get.call_args[1]["request_pays"] assert s3_get.call_args[0] == ("somewhereovertherainbow.io", "mystac.json") + + +@patch("rio_tiler.io.cogeo.rasterio") +def test_img_dataset_stats(rio): + """Make sure dataset statistics are forwarded.""" + rio.open = mock_rasterio_open + + with STACReader(STAC_PATH) as stac: + img = stac.preview(assets=("green", "red")) + assert img.dataset_statistics == [(6883, 62785), (6101, 65035)] + + img = stac.preview(expression="green_b1/red_b1") + assert img.dataset_statistics == [(6883 / 65035, 62785 / 6101)] diff --git a/tests/test_models.py b/tests/test_models.py index 3ba00ae0..a108fb89 100644 --- a/tests/test_models.py +++ b/tests/test_models.py @@ -135,3 +135,25 @@ def test_apply_expression(): assert img2.width == 256 assert img2.height == 256 assert img2.band_names == ["b1+b2"] + + +def test_dataset_statistics(): + """Make statistics are preserved on expression""" + data = numpy.zeros((2, 256, 256), dtype="uint8") + data[0, 0:10, 0:10] = 0 + data[0, 10:11, 10:11] = 100 + data[1, 0:10, 0:10] = 100 + data[1, 10:11, 10:11] = 200 + img = ImageData(data, dataset_statistics=[(0, 100), (0, 200)]) + + img2 = img.apply_expression("b1+b2") + assert img2.dataset_statistics == [(0, 300)] + + img2 = img.apply_expression("b1+b2;b1*b2;b1/b1") + assert img2.dataset_statistics == [(0, 300), (0, 20000), (0, 1)] + assert img2.data[0].min() == 0 + assert img2.data[0].max() == 300 + assert img2.data[1].min() == 0 + assert img2.data[1].max() == 20000 + assert img2.data[2].min() == 0 + assert img2.data[2].max() == 1 From 4e35ceb5dfa72feded79ad8ee36e7562a455571c Mon Sep 17 00:00:00 2001 From: vincentsarago Date: Mon, 3 Oct 2022 21:59:38 -0400 Subject: [PATCH 2/3] better type and autorescale --- rio_tiler/models.py | 14 +++++++------- rio_tiler/reader.py | 8 ++++---- 2 files changed, 11 insertions(+), 11 deletions(-) diff --git a/rio_tiler/models.py b/rio_tiler/models.py index 8341b95a..55344d9b 100644 --- a/rio_tiler/models.py +++ b/rio_tiler/models.py @@ -256,7 +256,8 @@ class ImageData: crs (rasterio.crs.CRS, optional): Coordinates Reference System of the bounds. metadata (dict, optional): Additional metadata. Defaults to `{}`. band_names (list, optional): name of each band. Defaults to `["1", "2", "3"]` for 3 bands image. - dataset_statistics (list, optional): dataset statistics `{"b1": (min,max), "b2": (min,max)}` + dataset_statistics (list, optional): dataset statistics `[(min, max), (min, max)]` + """ data: numpy.ndarray = attr.ib() @@ -266,9 +267,7 @@ class ImageData: crs: Optional[CRS] = attr.ib(default=None) metadata: Optional[Dict] = attr.ib(factory=dict) band_names: List[str] = attr.ib() - dataset_statistics: Optional[ - List[Tuple[Optional[float], Optional[float]]] - ] = attr.ib(default=None) + dataset_statistics: Optional[Sequence[Tuple[float, float]]] = attr.ib(default=None) @data.validator def _validate_data(self, attribute, value): @@ -334,11 +333,12 @@ def create_from_list(cls, data: Sequence["ImageData"]): ) ) - dataset_statistics = list( + stats = list( itertools.chain.from_iterable( [img.dataset_statistics for img in data if img.dataset_statistics] ) ) + dataset_statistics = stats if len(stats) == len(band_names) else None return cls( arr, @@ -408,7 +408,7 @@ def apply_expression(self, expression: str) -> "ImageData": blocks = get_expression_blocks(expression) stats = self.dataset_statistics - if numpy.array(stats).all() is not None: + if stats: res = [] for prod in itertools.product(*stats): # type: ignore res.append(apply_expression(blocks, self.band_names, numpy.array(prod))) @@ -498,7 +498,7 @@ def render( kwargs.update({"crs": self.crs}) data = self.data.copy() - datatype_range = (dtype_ranges[str(data.dtype)],) + datatype_range = self.dataset_statistics or (dtype_ranges[str(data.dtype)],) if not colormap: if img_format in ["PNG"] and data.dtype not in ["uint8", "uint16"]: diff --git a/rio_tiler/reader.py b/rio_tiler/reader.py index 3fd64451..4b7b7ecd 100644 --- a/rio_tiler/reader.py +++ b/rio_tiler/reader.py @@ -188,18 +188,18 @@ def read( boundless=boundless, ) - dataset_statistics = [] + stats = [] for ix in indexes: tags = dataset.tags(ix) - stat_min: Optional[float] = None - stat_max: Optional[float] = None if all( stat in tags for stat in ["STATISTICS_MINIMUM", "STATISTICS_MAXIMUM"] ): stat_min = float(tags.get("STATISTICS_MINIMUM")) stat_max = float(tags.get("STATISTICS_MAXIMUM")) + stats.append((stat_min, stat_max)) - dataset_statistics.append((stat_min, stat_max)) + # We only add dataset statistics if we have them for all the indexes + dataset_statistics = stats if len(stats) == len(indexes) else None if force_binary_mask: mask = numpy.where(mask != 0, numpy.uint8(255), numpy.uint8(0)) From cd7a6ffca0aee02288a5918b7935905b7dfee0d6 Mon Sep 17 00:00:00 2001 From: vincentsarago Date: Tue, 4 Oct 2022 20:09:56 -0400 Subject: [PATCH 3/3] one more test --- tests/test_models.py | 19 +++++++++++++++++++ 1 file changed, 19 insertions(+) diff --git a/tests/test_models.py b/tests/test_models.py index a108fb89..2dd14c74 100644 --- a/tests/test_models.py +++ b/tests/test_models.py @@ -5,6 +5,7 @@ import numpy import pytest import rasterio +from rasterio.io import MemoryFile from rio_tiler.errors import InvalidDatatypeWarning from rio_tiler.models import ImageData @@ -157,3 +158,21 @@ def test_dataset_statistics(): assert img2.data[1].max() == 20000 assert img2.data[2].min() == 0 assert img2.data[2].max() == 1 + + data = numpy.zeros((1, 256, 256), dtype="int16") + data[0, 0:10, 0:10] = 0 + data[0, 10:11, 10:11] = 1 + + img = ImageData(data, dataset_statistics=[(0, 1)]).render(img_format="PNG") + with MemoryFile(img) as mem: + with mem.open() as dst: + arr = dst.read(indexes=1) + assert arr.min() == 0 + assert arr.max() == 255 + + img = ImageData(data).render(img_format="PNG") + with MemoryFile(img) as mem: + with mem.open() as dst: + arr = dst.read(indexes=1) + assert not arr.min() == 0 + assert not arr.max() == 255