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added script

main
Holger Frey 4 years ago
parent
commit
d8473aa693
  1. 4
      pyproject.toml
  2. 96
      sensospot_images/__init__.py

4
pyproject.toml

@ -26,6 +26,7 @@ classifiers = [ @@ -26,6 +26,7 @@ classifiers = [
requires = [
"sensospot_data",
"Pillow >= 8.0",
"click",
]
requires-python = ">=3.7"
@ -47,6 +48,9 @@ dev = [ @@ -47,6 +48,9 @@ dev = [
"pre-commit",
]
[tool.flit.scripts]
sensospot_images = "sensospot_images:run"
[tool.black]
line-length = 79
py37 = true

96
sensospot_images/__init__.py

@ -5,18 +5,24 @@ Creating nice spot images from scans @@ -5,18 +5,24 @@ Creating nice spot images from scans
__version__ = "0.0.1"
from pathlib import Path
import sys
from pathlib import Path
from datetime import datetime
import click
from sensospot_data import parse_file
from sensospot_data.parameters import _search_measurement_params_file
from .images import recalculate, get_position, annotate_image, load_array_image, crop
from .images import (
crop,
recalculate,
get_position,
annotate_image,
load_array_image,
)
from .parameters import get_spot_parameters, get_array_parameters
def calulate_pixel_size(data_frame, array_definition):
first = get_position(data_frame.iloc[0], actual=False)
last = get_position(data_frame.iloc[-1], actual=False)
@ -71,6 +77,7 @@ def retrieve_spot_parameters(input_dir, scale): @@ -71,6 +77,7 @@ def retrieve_spot_parameters(input_dir, scale):
return recalculate(spot_parameters, scale / pixel_size)
def search_image_files(input_dir, wells, exposures):
input_path = Path(input_dir)
prefix = get_filename_prefix(input_path)
@ -78,6 +85,7 @@ def search_image_files(input_dir, wells, exposures): @@ -78,6 +85,7 @@ def search_image_files(input_dir, wells, exposures):
pattern = tmp_pattern.replace("***", "*").replace("**", "*")
return input_path.glob(pattern)
def create_file_map(input_dir, wells, exposures):
file_map = {}
for tif_path in search_image_files(input_dir, wells, exposures):
@ -89,19 +97,31 @@ def create_file_map(input_dir, wells, exposures): @@ -89,19 +97,31 @@ def create_file_map(input_dir, wells, exposures):
file_map[csv_path].append(tif_path)
return file_map
def process_image(image_file, spot_parameters, spot_data, scale):
img = load_array_image(image_file, scale=scale)
annotate_image(img, spot_parameters, spot_data, scale)
return img
def create_crops(output_path, img, image_path, spot_parameters, array_data, scale):
def create_crops(
output_path, img, image_path, spot_parameters, array_data, scale
):
base_name = image_path.stem
for index, spot_data in array_data.iterrows():
cropped_img = crop(img, spot_parameters, spot_data, scale)
new_path = output_path / f"{base_name}_{index + 1:03}.tif"
cropped_img.save(new_path)
def process(input_dir, output_dir, scale=3, wells="*", exposures="*", add_single_spots=False):
def process(
input_dir,
output_dir,
wells="*",
exposures="*",
scale=3,
add_single_spots=False,
):
spot_parameters = retrieve_spot_parameters(input_dir, scale)
file_map = create_file_map(input_dir, wells, exposures)
output_path = Path(output_dir)
@ -114,5 +134,65 @@ def process(input_dir, output_dir, scale=3, wells="*", exposures="*", add_single @@ -114,5 +134,65 @@ def process(input_dir, output_dir, scale=3, wells="*", exposures="*", add_single
img = process_image(image_path, spot_parameters, array_data, scale)
img.save(output_path / image_path.name)
if add_single_spots:
create_crops(output_path, img, image_path, spot_parameters, array_data, scale)
create_crops(
output_path,
img,
image_path,
spot_parameters,
array_data,
scale,
)
@click.command()
@click.argument(
"source",
type=click.Path(
exists=True,
file_okay=False,
dir_okay=True,
readable=True,
writable=True,
),
)
@click.option(
"-o",
"--output",
default=None,
help="Output directory name, defaults to folder on desktop",
)
@click.option(
"-w",
"--wells",
default="*",
help="restrict to this wells, * = all",
)
@click.option(
"-e",
"--Exposures",
default="*",
help="restrict to this exposure ids, * = all",
)
@click.option(
"-s",
"--scale",
type=int,
default=3,
help="scale-up of images",
)
@click.option(
"--spots",
default=False,
is_flag=True,
help="include cropped images of spots",
)
def run(source, output=None, wells="*", exposures="*", scale=3, spots=False):
if output is None or not Path(output).is_dir():
default = Path.home() / "Desktop"
if not default.is_dir():
default = Path.home()
now = datetime.now().strftime("%Y-%m-%d %H-%M-%S")
output = default / now
output.mkdir(exist_ok=True)
process(source, output, wells, exposures, scale, spots)

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