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iceye-ltd / icecube

Create time-series datacubes for supervised machine learning with ICEYE SAR images.
MIT License
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Cannot create Data cube #19

Open Shiviiii23 opened 6 months ago

Shiviiii23 commented 6 months ago

Hello, I am trying to work out the tutorial and I am doing: grd_datacube = GRDDatacube.build(cube_config, test_dir_grds)

this is the stack trace of the error I am getting: `TypeError Traceback (most recent call last)

in ----> 1 grd_datacube = GRDDatacube.build(cube_config, test_dir_grds) ~/Desktop/bhumi/icecube/icecube/bin/sar_cube/grd_datacube.py in build(cls, cube_config, raster_dir) 78 def build(cls, cube_config: CubeConfig, raster_dir: str): 79 grd_datacube = GRDDatacube(cube_config, RASTER_DTYPE) ---> 80 ds = grd_datacube.create(cls.PRODUCT_TYPE, raster_dir) 81 grd_datacube.xrdataset = ds 82 return grd_datacube ~/Desktop/bhumi/icecube/icecube/utils/common_utils.py in time_it(*args, **kwargs) 111 def time_it(*args, **kwargs): 112 time_started = time.time() --> 113 return_value = func(*args, **kwargs) 114 time_elapsed = time.time() 115 logger.info( ~/Desktop/bhumi/icecube/icecube/bin/sar_cube/sar_datacube.py in create(self, product_type, raster_dir) 48 # assert_metadata_exists(metadata_object.metadata_df) 49 self.set_xarray_dtype(metadata_object.metadata_df) ---> 50 ds = self.create_by_metadata(metadata_object) 51 self.xrdataset = ds 52 return ds ~/Desktop/bhumi/icecube/icecube/bin/sar_cube/sar_datacube.py in create_by_metadata(self, metadata) 135 ) 136 --> 137 raster_xrdataset, cur_metadata = self.compute_layer_xrdataset( 138 raster_fpath, metadata 139 ) ~/Desktop/bhumi/icecube/icecube/bin/sar_cube/grd_datacube.py in compute_layer_xrdataset(self, raster_path, metadata) 112 113 def compute_layer_xrdataset(self, raster_path, metadata) -> Tuple[xr.Dataset, dict]: --> 114 i_xr_array, grd_metadata = self._create_xdarray_with_ICEYE_GRD(raster_path) 115 return xr.Dataset({NAME_INTENSITY_BAND: i_xr_array}), grd_metadata 116 ~/Desktop/bhumi/icecube/icecube/bin/sar_cube/grd_datacube.py in _create_xdarray_with_ICEYE_GRD(self, grd_fpath) 125 # use Dask to load the array 126 array_dask = da.squeeze( --> 127 xr.open_rasterio( 128 grd_fpath, chunks={"band": 1, "x": self.chunks[0], "y": self.chunks[1]} 129 ) ~/opt/anaconda3/lib/python3.8/site-packages/xarray/backends/rasterio_.py in open_rasterio(filename, parse_coordinates, chunks, cache, lock, **kwargs) 376 token = tokenize(filename, mtime, chunks) 377 name_prefix = f"open_rasterio-{token}" --> 378 result = result.chunk(chunks, name_prefix=name_prefix, token=token) 379 380 # Make the file closeable ~/opt/anaconda3/lib/python3.8/site-packages/xarray/core/dataarray.py in chunk(self, chunks, name_prefix, token, lock, inline_array, **chunks_kwargs) 1324 chunks = either_dict_or_kwargs(chunks, chunks_kwargs, "chunk") 1325 -> 1326 ds = self._to_temp_dataset().chunk( 1327 chunks, 1328 name_prefix=name_prefix, ~/opt/anaconda3/lib/python3.8/site-packages/xarray/core/dataset.py in chunk(self, chunks, name_prefix, token, lock, inline_array, **chunks_kwargs) 2261 ) 2262 -> 2263 variables = { 2264 k: _maybe_chunk(k, v, chunks, token, lock, name_prefix) 2265 for k, v in self.variables.items() ~/opt/anaconda3/lib/python3.8/site-packages/xarray/core/dataset.py in (.0) 2262 2263 variables = { -> 2264 k: _maybe_chunk(k, v, chunks, token, lock, name_prefix) 2265 for k, v in self.variables.items() 2266 } ~/opt/anaconda3/lib/python3.8/site-packages/xarray/core/dataset.py in _maybe_chunk(name, var, chunks, token, lock, name_prefix, overwrite_encoded_chunks, inline_array) 283 token2 = tokenize(name, token if token else var._data, chunks) 284 name2 = f"{name_prefix}{name}-{token2}" --> 285 var = var.chunk(chunks, name=name2, lock=lock, inline_array=inline_array) 286 287 if overwrite_encoded_chunks and var.chunks is not None: ~/opt/anaconda3/lib/python3.8/site-packages/xarray/core/variable.py in chunk(self, chunks, name, lock, inline_array, **chunks_kwargs) 1227 chunks = tuple(chunks.get(n, s) for n, s in enumerate(self.shape)) 1228 -> 1229 data = da.from_array( 1230 data, chunks, name=name, lock=lock, inline_array=inline_array, **kwargs 1231 ) TypeError: from_array() got an unexpected keyword argument 'inline_array'`