code stringlengths 114 1.05M | path stringlengths 3 312 | quality_prob float64 0.5 0.99 | learning_prob float64 0.2 1 | filename stringlengths 3 168 | kind stringclasses 1
value |
|---|---|---|---|---|---|
import math
import logging
from smbus2 import SMBus
__author__ = "Yanfu Zhou"
__copyright__ = "Copyright 2022 Yanfu Zhou <yanfu.zhou@outlook.com>"
__license__ = "GPLv3-or-later"
__email__ = "yanfu.zhou@outlook.com"
__version__ = "0.2.6"
DFLT_BUS = 1
DFLT_ADDRESS = 0x0d
REG_XOUT_LSB = 0x00 # Output Data Registers... | /raspy_qmc5883l-0.3.0.tar.gz/raspy_qmc5883l-0.3.0/raspy_qmc5883l/__init__.py | 0.585694 | 0.355411 | __init__.py | pypi |
from raspyrfm_client.device_implementations.controlunit.actions import Action
from raspyrfm_client.device_implementations.controlunit.base import ControlUnit
from raspyrfm_client.device_implementations.gateway.manufacturer.gateway_constants import GatewayModel
from raspyrfm_client.device_implementations.manufacturer_co... | /raspyrfm_client-1.2.8-py3-none-any.whl/raspyrfm_client/device_implementations/gateway/base.py | 0.764892 | 0.187914 | base.py | pypi |
from raspyrfm_client.device_implementations.controlunit.actions import Action
from raspyrfm_client.device_implementations.controlunit.base import ControlUnit
from raspyrfm_client.device_implementations.gateway.base import Gateway
class RaspyRFM(Gateway):
def __init__(self, host: str = None, port: int = 49880):
... | /raspyrfm_client-1.2.8-py3-none-any.whl/raspyrfm_client/device_implementations/gateway/manufacturer/seegel_systeme/RaspyRFM.py | 0.621426 | 0.157266 | RaspyRFM.py | pypi |
from raspyrfm_client.device_implementations.controlunit.actions import Action
from raspyrfm_client.device_implementations.controlunit.base import ControlUnit
from raspyrfm_client.device_implementations.gateway.base import Gateway
class ConnAir(Gateway):
def __init__(self, host: str = None, port: int = 49880):
... | /raspyrfm_client-1.2.8-py3-none-any.whl/raspyrfm_client/device_implementations/gateway/manufacturer/simple_solutions/ConnAir.py | 0.623606 | 0.151184 | ConnAir.py | pypi |
import re
from raspyrfm_client.device_implementations.controlunit.actions import Action
from raspyrfm_client.device_implementations.controlunit.controlunit_constants import ControlUnitModel
from raspyrfm_client.device_implementations.manufacturer_constants import Manufacturer
class ControlUnit(object):
def __ini... | /raspyrfm_client-1.2.8-py3-none-any.whl/raspyrfm_client/device_implementations/controlunit/base.py | 0.67971 | 0.174956 | base.py | pypi |
from __future__ import annotations
import argparse
import logging
import typing
from dataclasses import dataclass
from pathlib import Path
from typing import Any, List, Optional, Sequence, TypedDict, Union, cast
import configpile as cp
import numpy as np
import tybles as tb
from filelock import FileLock
from numpy.ty... | /matching/types.py | 0.947503 | 0.313945 | types.py | pypi |
from __future__ import annotations
import argparse
import logging
import typing
from dataclasses import dataclass
from pathlib import Path
from typing import Any, List, Optional, Sequence, TypedDict, Union, cast
import configpile as cp
import numpy as np
import tybles as tb
from filelock import FileLock
from numpy.ty... | /matching/data.py | 0.945412 | 0.476153 | data.py | pypi |
import numpy as np
def add_grf_noise(array, array_res, correlation_length, noise_strength):
'''
Returns the array with spatially-correlated noise added from a Gaussian Random Field
:param array: np array that we want to add noise to (2D np.array)
:param array_res: array resolution (numeric, represents... | /raster_basics-1.3.26-py3-none-any.whl/raster_basics/NoiseFunctions.py | 0.939547 | 0.898143 | NoiseFunctions.py | pypi |
from typing import Any, Dict, List, Optional, Union
import numpy as np
import rasterio
from numpy import typing as npt
from rasterio import Affine
from rasterio.crs import CRS
from rasterio.io import DatasetReader
from shapely.geometry import mapping
from .densify import densify_geometry
from .mask import create_mask... | /raster-footprint-0.1.0.tar.gz/raster-footprint-0.1.0/src/raster_footprint/footprint.py | 0.971402 | 0.675566 | footprint.py | pypi |
from typing import Any, List, Optional, Tuple, TypeVar
import numpy as np
from shapely.geometry.multipolygon import MultiPolygon
from shapely.geometry.polygon import Polygon
T = TypeVar("T", Polygon, MultiPolygon)
def densify_by_factor(
point_list: List[Tuple[float, float]], factor: int
) -> List[Tuple[float, f... | /raster-footprint-0.1.0.tar.gz/raster-footprint-0.1.0/src/raster_footprint/densify.py | 0.976614 | 0.838746 | densify.py | pypi |
from typing import Any, Optional, Union
import numpy as np
import rasterio.features
from affine import Affine
from numpy import typing as npt
from shapely import unary_union
from shapely.geometry import shape
from shapely.geometry.multipolygon import MultiPolygon
from shapely.geometry.polygon import Polygon, orient
... | /raster-footprint-0.1.0.tar.gz/raster-footprint-0.1.0/src/raster_footprint/mask.py | 0.970792 | 0.774328 | mask.py | pypi |
# raster-loader
[](https://badge.fury.io/py/raster-loader)
[](https://pypistats.org/packages/raster-loader)
[![Tests](https://github.com/cartodb/raster-loader/actions/workflows/ci.yml/badge.svg... | /raster-loader-0.3.1.tar.gz/raster-loader-0.3.1/README.md | 0.888517 | 0.977284 | README.md | pypi |
import os
import uuid
import click
try:
import google.cloud.bigquery
except ImportError: # pragma: no cover
_has_bigquery = False
else:
_has_bigquery = True
@click.group(context_settings=dict(help_option_names=["-h", "--help"]))
def bigquery(args=None):
"""
Manage Google BigQuery resources.
... | /raster-loader-0.3.1.tar.gz/raster-loader-0.3.1/raster_loader/cli/bigquery.py | 0.464659 | 0.237924 | bigquery.py | pypi |
from functools import reduce
from numbers import Integral, Number
import numpy as np
from xarray.core.dtypes import maybe_promote as xr_maybe_promote
def _add_type(mapping, dt, aliases):
for d in [dt] + aliases:
mapping[d] = dt
U8 = np.dtype(np.uint8)
U16 = np.dtype(np.uint16)
U32 = np.dtype(np.uint32)... | /raster-tools-0.1.13.tar.gz/raster-tools-0.1.13/raster_tools/dtypes.py | 0.60054 | 0.32709 | dtypes.py | pypi |
from collections.abc import Sequence
import dask.array as da
import numpy as np
import xarray as xr
from raster_tools.dtypes import is_int, is_scalar
from raster_tools.masking import get_default_null_value
from raster_tools.raster import Raster, get_raster
from raster_tools.utils import make_raster_ds
__all__ = [
... | /raster-tools-0.1.13.tar.gz/raster-tools-0.1.13/raster_tools/creation.py | 0.879574 | 0.459197 | creation.py | pypi |
import dask.array as da
import numba as nb
import numpy as np
import xarray as xr
from raster_tools import focal
from raster_tools.dtypes import F32, F64, I32, U8, is_int
from raster_tools.masking import get_default_null_value
from raster_tools.raster import Raster, get_raster
from raster_tools.utils import make_raste... | /raster-tools-0.1.13.tar.gz/raster-tools-0.1.13/raster_tools/surface.py | 0.507812 | 0.491212 | surface.py | pypi |
import os
import re
from raster_tools.dtypes import is_int, is_scalar
from raster_tools.general import band_concat
from raster_tools.masking import get_default_null_value
from raster_tools.raster import Raster
from raster_tools.utils import validate_file
class BatchScriptParseError(BaseException):
pass
def _sp... | /raster-tools-0.1.13.tar.gz/raster-tools-0.1.13/raster_tools/batch.py | 0.575588 | 0.243758 | batch.py | pypi |
import os
from functools import wraps
import dask
import dask.array as da
import numpy as np
import xarray as xr
def validate_file(path):
if os.path.isfile(path):
return path
raise FileNotFoundError(f"Could not find file: '{path}'")
def validate_path(path):
if os.path.exists(path):
retu... | /raster-tools-0.1.13.tar.gz/raster-tools-0.1.13/raster_tools/utils.py | 0.434461 | 0.601008 | utils.py | pypi |
import numpy as np
from numba import jit, types
from numba.extending import overload
__all__ = [
"nan_unique_count_jit",
"nanargmax_jit",
"nanargmin_jit",
"nanasm_jit",
"nanentropy_jit",
"nanmax_jit",
"nanmean_jit",
"nanmedian_jit",
"nanmin_jit",
"nanmode_jit",
"nanstd_jit",... | /raster-tools-0.1.13.tar.gz/raster-tools-0.1.13/raster_tools/stat_common.py | 0.686685 | 0.61904 | stat_common.py | pypi |
import os
from pathlib import Path
import dask
import numpy as np
import rasterio as rio
import rioxarray as rxr
import xarray as xr
from dask.array.core import normalize_chunks as dask_chunks
from raster_tools.dtypes import F32, F64, I64, U8, is_bool, is_float, is_int
from raster_tools.masking import create_null_mas... | /raster-tools-0.1.13.tar.gz/raster-tools-0.1.13/raster_tools/io.py | 0.433742 | 0.342599 | io.py | pypi |
from collections.abc import Iterable, Iterator, Sequence
from functools import partial
import dask
import dask.array as da
import dask.dataframe as dd
import numba as nb
import numpy as np
import pandas as pd
from dask_image import ndmeasure
from raster_tools.dask_utils import dask_nanmax, dask_nanmin
from raster_too... | /raster-tools-0.1.13.tar.gz/raster-tools-0.1.13/raster_tools/zonal.py | 0.878262 | 0.52007 | zonal.py | pypi |
import dask
import numpy as np
import rioxarray as rxr
import xarray as xr
from raster_tools.creation import ones_like, zeros_like
from raster_tools.masking import get_default_null_value
from raster_tools.raster import Raster, RasterNoDataError, get_raster
from raster_tools.utils import make_raster_ds
from raster_tool... | /raster-tools-0.1.13.tar.gz/raster-tools-0.1.13/raster_tools/clipping.py | 0.88054 | 0.470007 | clipping.py | pypi |
import warnings
import dask
import numpy as np
from raster_tools.dtypes import (
BOOL,
DTYPE_INPUT_TO_DTYPE,
F16,
F32,
F64,
F128,
I8,
I16,
I32,
I64,
U8,
U16,
U32,
U64,
is_bool,
is_float,
)
def create_null_mask(xrs, null_value):
if null_value is not... | /raster-tools-0.1.13.tar.gz/raster-tools-0.1.13/raster_tools/masking.py | 0.509032 | 0.249584 | masking.py | pypi |
import torch
def scale_and_center_strokes(input_strokes, stroke_gt, pixel_dims, padding, device='cuda'):
"""
Vectorized / differentiable scaling and centering function.
Computes scaling and shift parameter based on stroke_gt to maximize size given pixel dimensions and padding.
Applies these parameters ... | /raster_torch-0.0.2.tar.gz/raster_torch-0.0.2/src/raster_torch/rasterize.py | 0.50293 | 0.742352 | rasterize.py | pypi |
import argparse
from datetime import datetime
import logging
import sys
from rasterio.errors import RasterioIOError
from raster2points import raster2csv
def str2bool(v):
"""
Convert various strings to boolean
:param v: String
:return: Boolean
"""
if v.lower() in ("yes", "true", "t", "y", "1"... | /raster2points-0.1.9-py3-none-any.whl/raster2points-0.1.9.data/scripts/raster2csv.py | 0.402157 | 0.207415 | raster2csv.py | pypi |
# RasterCarve
[](https://badge.fury.io/py/rastercarve) [](https://pypi.python.org/pypi/rastercarve/) [](https://pypi.python.org/pypi/r... | /rastercarve-1.0.8.tar.gz/rastercarve-1.0.8/README.md | 0.75037 | 0.930332 | README.md | pypi |
# Exports
This notebooks shows the steps on how we create an export using a project instance.
```
from rasterfoundry.api import API
refresh_token = '<your refresh token>'
api = API(refresh_token=refresh_token)
api.projects
```
## Create an export directly
### Create a polygon as the mask for the export
```
from... | /rasterfoundry-1.16.2.tar.gz/rasterfoundry-1.16.2/examples/Export.ipynb | 0.555676 | 0.913291 | Export.ipynb | pypi |
```
from rasterfoundry.api import API
refresh_token = '<Refresh Token>'
api = API(refresh_token=refresh_token)
```
# Getting analyses from the client
```
analyses = api.analyses
analysis = analyses[0]
analysis
```
# Visualizing analyses
## Comparing to projects
```
m = analysis.get_map()
projects = api.projects
... | /rasterfoundry-1.16.2.tar.gz/rasterfoundry-1.16.2/examples/Analyses.ipynb | 0.580114 | 0.801625 | Analyses.ipynb | pypi |
# Interacting with projects
```
from rasterfoundry.api import API
refresh_token = '<your refresh token>'
api = API(refresh_token=refresh_token)
```
## List projects
If you have access to any projects, `api.projects` will return them as a list.
```
projects = api.projects
projects
```
## Display a project
You can ... | /rasterfoundry-1.16.2.tar.gz/rasterfoundry-1.16.2/examples/Projects.ipynb | 0.454956 | 0.852445 | Projects.ipynb | pypi |
# Scenes
```
from rasterfoundry.api import API
api_token = '<your API token>'
api = API(api_token=api_token)
```
`api.get_scenes` allows you to query the Raster Foundry API for scenes.
```
scenes = api.get_scenes()
scenes.count
```
The types of most filters are obvious, but bounding box has special handling. You c... | /rasterfoundry-1.16.2.tar.gz/rasterfoundry-1.16.2/examples/Scenes.ipynb | 0.458591 | 0.807347 | Scenes.ipynb | pypi |
# Datasources
```
from rasterfoundry.api import API
from rasterfoundry.models.datasource import Datasource
refresh_token = '<refresh_token>'
api = API(refresh_token=refresh_token)
```
## List datasources
```
api.get_datasources()
```
## Create datasource bands
```
band_one = Datasource.create_datasource_band('red... | /rasterfoundry-1.16.2.tar.gz/rasterfoundry-1.16.2/examples/Datasources.ipynb | 0.581897 | 0.594993 | Datasources.ipynb | pypi |
import ast
from collections import defaultdict
import sys
def is_w_mode_open_call(node):
"""Return True if node represents `rasterio.open(path, "w", ...)`"""
return isinstance(
node.func, ast.Attribute
) and node.func.attr == "open" and isinstance(node.func.value, ast.Name) and node.func.value.id... | /rasterio_code_analyzer-1.0.1-py3-none-any.whl/rasterio_code_analyzer/__init__.py | 0.535584 | 0.380414 | __init__.py | pypi |
Python Quickstart
=================
Reading and writing data files is a spatial data programmer's bread and butter.
This document explains how to use Rasterio to read existing files and to create
new files. Some advanced topics are glossed over to be covered in more detail
elsewhere in Rasterio's documentation. Only t... | /rasterio-1.3.3.tar.gz/rasterio-1.3.3/docs/quickstart.rst | 0.975419 | 0.906942 | quickstart.rst | pypi |
Migrating to Rasterio 1.0
=========================
affine.Affine() vs. GDAL-style geotransforms
--------------------------------------------
One of the biggest API changes on the road to Rasterio 1.0 is the full
deprecation of GDAL-style geotransforms in favor of the `affine
<https://github.com/sgillies/affine>`__ ... | /rasterio-1.3.3.tar.gz/rasterio-1.3.3/docs/topics/migrating-to-v1.rst | 0.865764 | 0.916671 | migrating-to-v1.rst | pypi |
Nodata Masks
============
Nodata masks allow you to identify regions of valid data values. In using Rasterio,
you'll encounter two different kinds of masks.
One is the the valid data mask from GDAL, an unsigned byte array with the same number of
rows and columns as the dataset in which non-zero elements (typically 25... | /rasterio-1.3.3.tar.gz/rasterio-1.3.3/docs/topics/masks.rst | 0.952167 | 0.904819 | masks.rst | pypi |
# Rastermap
[](https://codecov.io/gh/MouseLand/rastermap)
[](https://... | /rastermap-0.9.4.tar.gz/rastermap-0.9.4/README.md | 0.487551 | 0.90764 | README.md | pypi |
[](https://colab.research.google.com/github/MouseLand/rastermap/blob/main/notebooks/rastermap_singleneurons.ipynb)
# Rastermap sorting of 137 neurons
We will use a processed version of the data from [Grosmark & Buzsaki, 2016](https://crcns.org/... | /rastermap-0.9.4.tar.gz/rastermap-0.9.4/notebooks/rastermap_singleneurons.ipynb | 0.44071 | 0.979765 | rastermap_singleneurons.ipynb | pypi |
[](https://colab.research.google.com/github/MouseLand/rastermap/blob/main/notebooks/rastermap_largescale.ipynb)
# Rastermap sorting of 34k neurons
We will use a spontaneous activity recording from [Syeda et al, 2023](https://www.biorxiv.org/con... | /rastermap-0.9.4.tar.gz/rastermap-0.9.4/notebooks/rastermap_largescale.ipynb | 0.652684 | 0.982474 | rastermap_largescale.ipynb | pypi |
[](https://colab.research.google.com/github/MouseLand/rastermap/blob/main/notebooks/rastermap_widefield.ipynb)
# Rastermap sorting of widefield neural activity
We will use a widefield imaging recording from mouse cortex from [Musall*, Kaufman* ... | /rastermap-0.9.4.tar.gz/rastermap-0.9.4/notebooks/rastermap_widefield.ipynb | 0.509276 | 0.955361 | rastermap_widefield.ipynb | pypi |
[](https://colab.research.google.com/github/MouseLand/rastermap/blob/main/notebooks/rastermap_zebrafish.ipynb)
# Rastermap sorting of zebrafish neural activity
We will use a zebrafish wholebrain neural activity recording from [Chen*, Mu*, Hu*, ... | /rastermap-0.9.4.tar.gz/rastermap-0.9.4/notebooks/rastermap_zebrafish.ipynb | 0.461502 | 0.981736 | rastermap_zebrafish.ipynb | pypi |
import os
from fig_utils import *
from matplotlib import patches
def brain_plot(ax, x, y, cweights, cmap, theta=np.pi*0.77, subsample=5,
vmin=None, vmax=None, brain_axes=True):
pos = ax.get_position().bounds
xvox = x*np.cos(theta) - y*np.sin(theta)
yvox = x*np.sin(theta) + y*np.cos(theta)
... | /rastermap-0.9.4.tar.gz/rastermap-0.9.4/paper/fig4.py | 0.435181 | 0.398348 | fig4.py | pypi |
```
import sys, os
import numpy as np
import torch
from scipy.stats import zscore
from neuropop import nn_prediction
from rastermap import Rastermap, utils
### use cuda version of torch if available
device = torch.device('cuda')
# path to paper code
sys.path.insert(0, '/github/rastermap/paper')
import fig2
# path to... | /rastermap-0.9.4.tar.gz/rastermap-0.9.4/paper/fig2.ipynb | 0.402862 | 0.728362 | fig2.ipynb | pypi |
import matplotlib.pyplot as plt
from matplotlib import patches
import os
import numpy as np
from fig_utils import *
ccolor = [[0,1,0], [0,0,0.8]]
def panel_neuron_pos(fig, grid, il, yratio, xpos0, ypos0, isort, brain_img):
xpos, ypos = xpos0.copy(), -1*ypos0.copy()
ylim = np.array([ypos.min(), ypos.max()])
... | /rastermap-0.9.4.tar.gz/rastermap-0.9.4/paper/fig3.py | 0.408395 | 0.553445 | fig3.py | pypi |
# RasterSmith
RasterSmith is a Python package aimed at making the analysis of satellite remote sensing data products easier.
### Installing RasterSmith
Currently, RasterSmith is under active development but is packaged and available to install via `pip`. To install the package, you can use pip install for your Python... | /rastersmith-0.0.3.tar.gz/rastersmith-0.0.3/README.md | 0.640861 | 0.986636 | README.md | pypi |
import logging
import os
import uuid
from typing import List, Optional
from rastervision.pipeline import rv_config_ as rv_config
from rastervision.pipeline.runner import Runner
log = logging.getLogger(__name__)
AWS_BATCH = 'batch'
def submit_job(cmd: List[str],
job_name: str,
debug: bo... | /rastervision_aws_batch-0.21.tar.gz/rastervision_aws_batch-0.21/rastervision/aws_batch/aws_batch_runner.py | 0.775732 | 0.313643 | aws_batch_runner.py | pypi |
from typing import Tuple
import io
import os
import subprocess
from datetime import datetime
from urllib.parse import urlparse
import boto3
from everett.manager import ConfigurationMissingError
from tqdm.auto import tqdm
from rastervision.pipeline.file_system import (FileSystem, NotReadableError,
... | /rastervision_aws_s3-0.21-py3-none-any.whl/rastervision/aws_s3/s3_file_system.py | 0.731059 | 0.406509 | s3_file_system.py | pypi |
from typing import TYPE_CHECKING, List, Optional
from os.path import join
import logging
from rastervision.pipeline import rv_config_ as rv_config
from rastervision.pipeline.config import (build_config, upgrade_config)
from rastervision.pipeline.file_system.utils import (download_if_needed,
... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/predictor.py | 0.883009 | 0.209348 | predictor.py | pypi |
from typing import (TYPE_CHECKING, Iterable, Iterator, Optional, Sequence,
Tuple, Union)
import numpy as np
from tqdm.auto import tqdm
from rastervision.pipeline.utils import repr_with_args
from rastervision.pipeline.file_system import file_to_json, json_to_file
from rastervision.core.data.utils i... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/raster_stats.py | 0.966537 | 0.503235 | raster_stats.py | pypi |
from typing import (TYPE_CHECKING, Callable, Dict, List, Optional, Sequence,
Tuple, Union)
from typing_extensions import Literal
from pydantic import PositiveInt as PosInt, conint
import math
import random
import numpy as np
from shapely.geometry import Polygon
from rasterio.windows import Window a... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/box.py | 0.964128 | 0.479504 | box.py | pypi |
from typing import List, Optional
import click
from rastervision.pipeline.file_system import get_tmp_dir
from rastervision.core.predictor import Predictor
# https://stackoverflow.com/questions/48391777/nargs-equivalent-for-options-in-click
class OptionEatAll(click.Option):
def __init__(self, *args, **kwargs):
... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/cli.py | 0.828731 | 0.20951 | cli.py | pypi |
from typing import TYPE_CHECKING, Iterable, Optional, Tuple
from os.path import join
from rastervision.pipeline.config import register_config, ConfigError, Field
from rastervision.core.analyzer import AnalyzerConfig, StatsAnalyzer
if TYPE_CHECKING:
from rastervision.core.rv_pipeline import RVPipelineConfig
@reg... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/analyzer/stats_analyzer_config.py | 0.892017 | 0.259898 | stats_analyzer_config.py | pypi |
from typing import TYPE_CHECKING, Dict, Tuple
import numpy as np
import geopandas as gpd
from rastervision.core.evaluation import (ClassificationEvaluation,
ClassEvaluationItem)
if TYPE_CHECKING:
from rastervision.core.data import ObjectDetectionLabels
from rastervis... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/evaluation/object_detection_evaluation.py | 0.860516 | 0.510802 | object_detection_evaluation.py | pypi |
from typing import Optional
import numpy as np
from rastervision.core.evaluation import EvaluationItem
class ClassEvaluationItem(EvaluationItem):
"""A wrapper around a binary (2x2) confusion matrix of the form
.. line-block::
[``TN`` ``FP``]
[``FN`` ``TP``]
where ``TN`` need not necessa... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/evaluation/class_evaluation_item.py | 0.956278 | 0.454533 | class_evaluation_item.py | pypi |
from typing import TYPE_CHECKING, Any, Dict, Optional, Union
from abc import (ABC, abstractmethod)
import copy
import json
import numpy as np
from rastervision.pipeline.file_system import str_to_file
from rastervision.core.data.utils import ensure_json_serializable
if TYPE_CHECKING:
from rastervision.core.evalu... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/evaluation/classification_evaluation.py | 0.9345 | 0.336658 | classification_evaluation.py | pypi |
from typing import TYPE_CHECKING, Any, List, Optional, Tuple
from rastervision.core.data.utils import match_bboxes, geoms_to_bbox_coords
if TYPE_CHECKING:
from shapely.geometry.base import BaseGeometry
from rastervision.core.box import Box
from rastervision.core.data import (RasterSource, LabelSource, Lab... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/scene.py | 0.954063 | 0.395338 | scene.py | pypi |
from typing import Dict, List, Set
from rastervision.pipeline.config import (Config, register_config, ConfigError,
Field)
from rastervision.pipeline.utils import split_into_groups
from rastervision.core.data.scene_config import SceneConfig
from rastervision.core.data.class_con... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/dataset_config.py | 0.769427 | 0.281616 | dataset_config.py | pypi |
from typing import TYPE_CHECKING, List, Optional
from rastervision.pipeline.config import (Config, ConfigError, register_config,
Field)
from rastervision.core.data.raster_source import RasterSourceConfig
from rastervision.core.data.label_source import LabelSourceConfig
from ra... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/scene_config.py | 0.820397 | 0.164181 | scene_config.py | pypi |
from abc import ABC, abstractmethod
from typing import Any, Optional, overload, Tuple
import numpy as np
from shapely.ops import transform
from shapely.geometry.base import BaseGeometry
from shapely.affinity import translate
from rastervision.core.box import Box
class CRSTransformer(ABC):
"""Transforms map poin... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/crs_transformer/crs_transformer.py | 0.956604 | 0.60013 | crs_transformer.py | pypi |
from typing import Any, Optional, Union
from pyproj import Transformer
import numpy as np
import rasterio as rio
from rasterio.transform import (rowcol, xy)
from rasterio import Affine
from rastervision.core.data.crs_transformer import (CRSTransformer,
IdentityCRSTr... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/crs_transformer/rasterio_crs_transformer.py | 0.957068 | 0.401453 | rasterio_crs_transformer.py | pypi |
from typing import Optional
from rastervision.core.data.vector_source import (VectorSourceConfig)
from rastervision.core.data.label_source import (LabelSourceConfig,
ChipClassificationLabelSource)
from rastervision.pipeline.config import (ConfigError, register_config, F... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/label_source/chip_classification_label_source_config.py | 0.909904 | 0.328368 | chip_classification_label_source_config.py | pypi |
from typing import TYPE_CHECKING, Any, Optional, Tuple
import numpy as np
from rastervision.core.box import Box
from rastervision.core.data.label import ObjectDetectionLabels
from rastervision.core.data.label_source import LabelSource
from rastervision.core.data.vector_source import VectorSource
from rastervision.cor... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/label_source/object_detection_label_source.py | 0.964905 | 0.520984 | object_detection_label_source.py | pypi |
from typing import TYPE_CHECKING, Any, List, Optional
import numpy as np
from rastervision.core.box import Box
from rastervision.core.data import ClassConfig
from rastervision.core.data.label import SemanticSegmentationLabels
from rastervision.core.data.label_source.label_source import LabelSource
from rastervision.c... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/label_source/semantic_segmentation_label_source.py | 0.96417 | 0.388618 | semantic_segmentation_label_source.py | pypi |
from typing import TYPE_CHECKING, Any, List, Optional, Tuple
from abc import ABC, abstractmethod, abstractproperty
import numpy as np
from skimage.transform import resize
from rastervision.core.box import Box
from rastervision.core.data.utils import parse_array_slices_Nd
if TYPE_CHECKING:
from rastervision.core.... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/raster_source/raster_source.py | 0.971779 | 0.493226 | raster_source.py | pypi |
from typing import Optional, Sequence, List, Tuple
from pydantic import conint
import numpy as np
from rastervision.core.box import Box
from rastervision.core.data.raster_source import RasterSource
from rastervision.core.data.crs_transformer import CRSTransformer
from rastervision.core.data.utils import all_equal
c... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/raster_source/multi_raster_source.py | 0.970646 | 0.302085 | multi_raster_source.py | pypi |
from typing import Any, Optional, Sequence, Tuple
from pydantic import conint
import numpy as np
from rastervision.core.box import Box
from rastervision.core.data.raster_source import (RasterSource,
MultiRasterSource)
from rastervision.core.data.utils import all_equal... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/raster_source/temporal_multi_raster_source.py | 0.973582 | 0.347869 | temporal_multi_raster_source.py | pypi |
from pydantic import conint, conlist
from rastervision.pipeline.config import (Field, register_config, validator)
from rastervision.core.data.raster_source import (RasterSourceConfig,
MultiRasterSource)
def multi_rs_config_upgrader(cfg_dict: dict, version: int) -> di... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/raster_source/multi_raster_source_config.py | 0.643889 | 0.171651 | multi_raster_source_config.py | pypi |
from typing import TYPE_CHECKING, Any, List, Optional, Sequence, Tuple, Union
import logging
import numpy as np
from xarray import DataArray
from rastervision.core.box import Box
from rastervision.core.data.crs_transformer import RasterioCRSTransformer
from rastervision.core.data.raster_source import RasterSource
fro... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/raster_source/xarray_source.py | 0.967031 | 0.465691 | xarray_source.py | pypi |
from rastervision.core.data.raster_source import (RasterizedSource)
from rastervision.core.data.vector_source import (VectorSourceConfig)
from rastervision.core.data.vector_transformer import (
ClassInferenceTransformerConfig, BufferTransformerConfig)
from rastervision.pipeline.config import (register_config, Confi... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/raster_source/rasterized_source_config.py | 0.853699 | 0.268483 | rasterized_source_config.py | pypi |
from typing import TYPE_CHECKING, Any, List, Optional, Sequence, Tuple, Union
import logging
import numpy as np
import rasterio
from rastervision.pipeline.file_system import download_if_needed, get_tmp_dir
from rastervision.core.box import Box
from rastervision.core.data.crs_transformer import RasterioCRSTransformer
... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/raster_source/rasterio_source.py | 0.9441 | 0.355467 | rasterio_source.py | pypi |
from abc import abstractmethod
from typing import TYPE_CHECKING, List, Optional
from rastervision.pipeline.config import Config, register_config, Field
from rastervision.core.data.vector_transformer import VectorTransformerConfig
if TYPE_CHECKING:
from rastervision.core.rv_pipeline import RVPipelineConfig
fro... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/vector_source/vector_source_config.py | 0.780328 | 0.158956 | vector_source_config.py | pypi |
from typing import TYPE_CHECKING, List, Optional
from abc import ABC, abstractmethod
import logging
import geopandas as gpd
from rastervision.core.box import Box
from rastervision.core.data.utils import (
remove_empty_features, split_multi_geometries, map_to_pixel_coords,
pixel_to_map_coords, simplify_polygon... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/vector_source/vector_source.py | 0.96534 | 0.597608 | vector_source.py | pypi |
from typing import TYPE_CHECKING, List, Optional, Union
import logging
from rastervision.pipeline.file_system import download_if_needed, file_to_json
from rastervision.core.box import Box
from rastervision.core.data.vector_source.vector_source import VectorSource
from rastervision.core.data.utils import listify_uris, ... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/vector_source/geojson_vector_source.py | 0.934962 | 0.480966 | geojson_vector_source.py | pypi |
from typing import TYPE_CHECKING, List, Optional, Sequence
import numpy as np
from rastervision.core.data.raster_transformer import RasterTransformer
from rastervision.core.raster_stats import RasterStats
from rastervision.pipeline.utils import repr_with_args
if TYPE_CHECKING:
from rastervision.core.data import ... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/raster_transformer/stats_transformer.py | 0.966569 | 0.644659 | stats_transformer.py | pypi |
from typing import TYPE_CHECKING, List, Optional
import numpy as np
from rastervision.core.data.raster_transformer import (RasterTransformer,
ReclassTransformer)
from rastervision.core.data.utils import (color_to_triple, color_to_integer,
... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/raster_transformer/rgb_class_transformer.py | 0.950721 | 0.309796 | rgb_class_transformer.py | pypi |
from typing import TYPE_CHECKING, Optional
from os.path import join
from rastervision.pipeline.config import register_config, Field
from rastervision.core.data.raster_transformer import (RasterTransformerConfig,
StatsTransformer)
from rastervision.core.raster_stat... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/raster_transformer/stats_transformer_config.py | 0.864368 | 0.182426 | stats_transformer_config.py | pypi |
from typing import TYPE_CHECKING, Dict, Iterable, List, Optional
import numpy as np
from shapely.geometry import shape
from rastervision.core.box import Box
from rastervision.core.data.label.labels import Labels
from rastervision.core.data.label.tfod_utils.np_box_list import NpBoxList
from rastervision.core.data.label... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/label/object_detection_labels.py | 0.948143 | 0.560493 | object_detection_labels.py | pypi |
from typing import (TYPE_CHECKING, Any, Dict, Iterable, List, Optional,
Sequence, Tuple)
from dataclasses import dataclass
import numpy as np
from rastervision.core.box import Box
from rastervision.core.data.label import Labels
if TYPE_CHECKING:
from rastervision.core.data import (ClassConfig... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/label/chip_classification_labels.py | 0.965414 | 0.449091 | chip_classification_labels.py | pypi |
"""Operations for [N, 4] numpy arrays representing bounding boxes."""
import numpy as np
def area(boxes):
"""Computes area of boxes.
Args:
boxes (np.ndarray): A numpy array with shape [N, 4] holding N boxes.
Returns:
np.ndarray: A numpy array with shape [N*1] representing box areas.
... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/label/tfod_utils/np_box_ops.py | 0.974544 | 0.920932 | np_box_ops.py | pypi |
"""Numpy BoxList classes and functions."""
from typing import List, Tuple
import numpy as np
class NpBoxList(object):
"""A list of bounding boxes as a [y_min, x_min, y_max, x_max] numpy array.
It is assumed that all bounding boxes within a given list correspond to a
single image. Optionally, users can ... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/label/tfod_utils/np_box_list.py | 0.967808 | 0.829008 | np_box_list.py | pypi |
"""Bounding Box List operations for Numpy BoxLists."""
from typing import List, Optional, Tuple
from tqdm.auto import trange
import numpy as np
from rastervision.core.data.label.tfod_utils.np_box_list import NpBoxList
from rastervision.core.data.label.tfod_utils import np_box_ops
class SortOrder(object):
"""Enu... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/label/tfod_utils/np_box_list_ops.py | 0.969047 | 0.67462 | np_box_list_ops.py | pypi |
from typing import TYPE_CHECKING, Iterator, Optional, Tuple
from itertools import chain
import numpy as np
import cv2
import rasterio as rio
from shapely.geometry import shape
if TYPE_CHECKING:
from shapely.geometry.base import BaseGeometry
RotatedRectange = Tuple[Tuple[float, float], Tuple[float, float], float... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/utils/vectorization.py | 0.947902 | 0.724322 | vectorization.py | pypi |
from typing import (TYPE_CHECKING, Callable, Dict, Iterable, Iterator, List,
Optional, Union)
from copy import deepcopy
from shapely.geometry import shape, mapping
from shapely.affinity import translate
from tqdm.auto import tqdm
import geopandas as gpd
from rastervision.core.box import Box
if TY... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/utils/geojson.py | 0.949728 | 0.541894 | geojson.py | pypi |
import numpy as np
from rastervision.core.box import Box
def fill_overflow(bbox: Box,
window: Box,
chip: np.ndarray,
fill_value: int = 0) -> np.ndarray:
"""Where ``chip``'s ``window`` overflows bbox, fill with ``fill_value``.
Args:
bbox (Box): Bo... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/utils/raster.py | 0.949623 | 0.651258 | raster.py | pypi |
from typing import TYPE_CHECKING, Any, List, Optional, Sequence, Tuple, Union
import logging
import numpy as np
from PIL import ImageColor
from rastervision.core.box import Box
if TYPE_CHECKING:
from rastervision.core.data import (RasterSource, LabelSource, LabelStore)
log = logging.getLogger(__name__)
def co... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/utils/misc.py | 0.957308 | 0.42668 | misc.py | pypi |
from typing import TYPE_CHECKING, List, Optional, Sequence, Tuple, Union
import os
import subprocess
import logging
import numpy as np
import rasterio as rio
import rasterio.windows as rio_windows
from rasterio.transform import from_origin
from rasterio.enums import (ColorInterp, MaskFlags, Resampling)
from rastervis... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/utils/rasterio.py | 0.908033 | 0.345464 | rasterio.py | pypi |
from typing import TYPE_CHECKING, List, Optional, Union
from uuid import uuid4
from rastervision.core.data.utils import listify_uris, get_polygons_from_uris
if TYPE_CHECKING:
from rastervision.core.data import ClassConfig, Scene
def make_ss_scene(image_uri: Union[str, List[str]],
label_raster_... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/utils/factory.py | 0.956074 | 0.466177 | factory.py | pypi |
from typing import TYPE_CHECKING, Iterator, List, Optional
from os.path import join
from rastervision.pipeline.config import register_config, Config, Field
from rastervision.core.data.label_store import (LabelStoreConfig,
SemanticSegmentationLabelStore)
from rastervision... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/label_store/semantic_segmentation_label_store_config.py | 0.878308 | 0.365315 | semantic_segmentation_label_store_config.py | pypi |
from typing import TYPE_CHECKING, Optional
from rastervision.pipeline.file_system import json_to_file
from rastervision.core.data.label import ChipClassificationLabels
from rastervision.core.data.label_store import LabelStore
from rastervision.core.data.label_store.utils import boxes_to_geojson
from rastervision.core.... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/label_store/chip_classification_geojson_store.py | 0.945336 | 0.332947 | chip_classification_geojson_store.py | pypi |
from typing import TYPE_CHECKING, Optional
import logging
from rastervision.core.data.label import ObjectDetectionLabels
from rastervision.core.data.label_store import LabelStore
from rastervision.core.data.label_store.utils import boxes_to_geojson
from rastervision.core.data.vector_source import GeoJSONVectorSourceCo... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/label_store/object_detection_geojson_store.py | 0.939623 | 0.319559 | object_detection_geojson_store.py | pypi |
from typing import TYPE_CHECKING, Optional, Sequence, Union
from tqdm.auto import tqdm
from rastervision.core.data.utils.geojson import geoms_to_geojson
if TYPE_CHECKING:
from rastervision.core.box import Box
from rastervision.core.data import ClassConfig, CRSTransformer
PROGRESSBAR_DELAY_SEC = 5
def boxe... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/label_store/utils.py | 0.946088 | 0.400515 | utils.py | pypi |
from typing import TYPE_CHECKING, Dict, Optional
from copy import deepcopy
import logging
from rastervision.core.data.vector_transformer import VectorTransformer
from rastervision.core.data.vector_transformer.label_maker.filter import (
create_filter)
from rastervision.core.data.utils.geojson import features_to_ge... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/vector_transformer/class_inference_transformer.py | 0.880181 | 0.23231 | class_inference_transformer.py | pypi |
from typing import TYPE_CHECKING, Optional
import numpy as np
from shapely.ops import transform
from rastervision.core.data.crs_transformer import RasterioCRSTransformer
from rastervision.core.data.utils.geojson import (
pixel_to_map_coords, map_to_pixel_coords, map_geoms)
from rastervision.core.data.vector_trans... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/vector_transformer/shift_transformer.py | 0.938997 | 0.420362 | shift_transformer.py | pypi |
# pylint: disable=eval-used,too-many-return-statements
"""Create a feature filtering function from a Mapbox GL Filter."""
# Python port of https://github.com/mapbox/mapbox-gl-js/blob/c9900db279db776f493ce8b6749966cedc2d6b8a/src/style-spec/feature_filter/index.js
def create_filter(filt):
"""Create a feature filt... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/data/vector_transformer/label_maker/filter.py | 0.894144 | 0.565599 | filter.py | pypi |
import os
from subprocess import Popen
from rastervision.pipeline.file_system import (download_or_copy,
upload_or_copy)
COGIFY = 'COGIFY'
DEFAULT_BLOCK_SIZE = 512
DEFAULT_RESAMPLE_METHOD = 'near'
DEFAULT_COMPRESSION = 'deflate'
DEFAULT_OVERVIEWS = [2, 4, 8, 16, 32]
de... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/utils/cog.py | 0.468791 | 0.156362 | cog.py | pypi |
from typing import List, Optional
from urllib.parse import urlparse
import logging
from itertools import islice
import boto3
from pystac import StacIO, Catalog, Item
from pystac.stac_io import DefaultStacIO
from shapely.geometry import box
from rastervision.pipeline.file_system import file_to_json
log = logging.getL... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/utils/stac.py | 0.895981 | 0.253422 | stac.py | pypi |
from os.path import join
from typing import List, TYPE_CHECKING, Optional
from rastervision.pipeline.pipeline_config import PipelineConfig
from rastervision.core.data import (DatasetConfig, StatsTransformerConfig,
LabelStoreConfig, SceneConfig)
from rastervision.core.utils.misc impo... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/rv_pipeline/rv_pipeline_config.py | 0.661048 | 0.218232 | rv_pipeline_config.py | pypi |
from enum import Enum
from typing import Optional
from rastervision.pipeline.config import register_config, Config, Field
from rastervision.core.rv_pipeline import RVPipelineConfig, PredictOptions
from rastervision.core.data.label_store import ObjectDetectionGeoJSONStoreConfig
from rastervision.core.evaluation import ... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/rv_pipeline/object_detection_config.py | 0.908704 | 0.265068 | object_detection_config.py | pypi |
from typing import TYPE_CHECKING, List, Sequence
import logging
import numpy as np
from rastervision.core.box import Box
from rastervision.core.rv_pipeline.rv_pipeline import RVPipeline
from rastervision.core.rv_pipeline.utils import nodata_below_threshold
from rastervision.core.rv_pipeline.semantic_segmentation_conf... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/rv_pipeline/semantic_segmentation.py | 0.911572 | 0.306605 | semantic_segmentation.py | pypi |
from typing import (List, Optional, Union)
from typing_extensions import Literal
from pydantic import conint
from enum import Enum
from rastervision.pipeline.config import (ConfigError, register_config, Field,
Config, validator)
from rastervision.core.rv_pipeline.rv_pipeline_c... | /rastervision_core-0.21.tar.gz/rastervision_core-0.21/rastervision/core/rv_pipeline/semantic_segmentation_config.py | 0.933628 | 0.248717 | semantic_segmentation_config.py | pypi |
from datetime import datetime
import os
from pathlib import Path
from typing import (List, Optional)
from urllib.parse import urlparse
from rastervision.pipeline.file_system import FileSystem
from osgeo import gdal
class VsiFileSystem(FileSystem):
"""A FileSystem to access files over any protocol supported by G... | /rastervision_gdal_vsi-0.21-py3-none-any.whl/rastervision/gdal_vsi/vsi_file_system.py | 0.803097 | 0.26856 | vsi_file_system.py | pypi |
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