From b62b35597b0d0ae04a0fbd0cdc138c42a3cecd4f Mon Sep 17 00:00:00 2001 From: Holger Frey Date: Wed, 28 Apr 2021 18:19:13 +0200 Subject: [PATCH] first working version --- .gitignore | 4 ++ pyproject.toml | 3 +- run.py | 24 +++++++ sensospot_images/__init__.py | 112 +++++++++++++++++++++++++++++++++ sensospot_images/arial.ttf | Bin 0 -> 1036584 bytes sensospot_images/images.py | 90 ++++++++++++++++++++++++++ sensospot_images/parameters.py | 54 ++++++++++++++++ 7 files changed, 286 insertions(+), 1 deletion(-) create mode 100644 run.py create mode 100644 sensospot_images/arial.ttf create mode 100644 sensospot_images/images.py create mode 100644 sensospot_images/parameters.py diff --git a/.gitignore b/.gitignore index 1d77a72..6099c79 100644 --- a/.gitignore +++ b/.gitignore @@ -1,3 +1,7 @@ +# This project + +example_output/ + # ---> Python # Byte-compiled / optimized / DLL files __pycache__/ diff --git a/pyproject.toml b/pyproject.toml index 2393c3a..cf21fdd 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -24,7 +24,8 @@ classifiers = [ ] requires = [ - + "sensospot_data", + "Pillow >= 8.0", ] requires-python = ">=3.7" diff --git a/run.py b/run.py new file mode 100644 index 0000000..70c9c98 --- /dev/null +++ b/run.py @@ -0,0 +1,24 @@ +from pathlib import Path +from PIL import Image, ImageDraw, ImageFont + +from sensospot_images import process +from sensospot_data import parse_file +from sensospot_data.parameters import _search_measurement_params_file + +from defusedxml import ElementTree + +import itertools + +THIS_FILE_DIR = Path(__file__).absolute().parent + +EXAMPLE_DATA_DIR = THIS_FILE_DIR / "example_data" +EXAMPLE_IMAGE = EXAMPLE_DATA_DIR / "11Aug2020 NQC0329 Dry SG2-127-002_1_A01_1.tif" +EXAMPLE_DATA = EXAMPLE_DATA_DIR / "11Aug2020 NQC0329 Dry SG2-127-002_1_A01_1.csv" + +OUTPUT_DIR = THIS_FILE_DIR / "example_output" +old_output_files = [i for i in OUTPUT_DIR.iterdir() if i.is_file()] +for path in old_output_files: + path.unlink() + + +process(EXAMPLE_DATA_DIR, OUTPUT_DIR) diff --git a/sensospot_images/__init__.py b/sensospot_images/__init__.py index 8fa57ea..6e8ba04 100644 --- a/sensospot_images/__init__.py +++ b/sensospot_images/__init__.py @@ -4,3 +4,115 @@ Creating nice spot images from scans """ __version__ = "0.0.1" + +from pathlib import Path +import sys + +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 .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) + + x_dist_pixel = last.x - first.x + y_dist_pixel = last.y - first.y + + ad = array_definition + x_dist_um = ad.dist_x * (ad.size_x - 1) + y_dist_um = ad.dist_y * (ad.size_y - 1) + + if x_dist_um == 0: + # only one spot in x direction + return x_dist_um / x_dist_pixel + elif y_dist_um == 0: + # only one spot in x direction + return y_dist_um / y_dist_pixel + + # more than one spot in each direction + x_pixel_size = x_dist_um / x_dist_pixel + y_pixel_size = y_dist_um / y_dist_pixel + + return (x_pixel_size + y_pixel_size) / 2 + + +def get_example_data_path(input_dir): + input_path = Path(input_dir) + tif_files = input_path.glob("*.tif") + example_tif = next(tif_files) + return example_tif.with_suffix(".csv") + + +def get_filename_prefix(input_dir): + file_path = get_example_data_path(input_dir) + example_name = file_path.stem + prefix, well, exposure = example_name.rsplit("_", 2) + return prefix + + +def retrieve_spot_parameters(input_dir, scale): + parameters_path = _search_measurement_params_file(input_dir) + if parameters_path is None: + sys.exit(f"Could not find parameter files in {input_dir}") + + array_parameters = get_array_parameters(parameters_path) + spot_parameters = get_spot_parameters(parameters_path, array_parameters) + + example_data_path = get_example_data_path(input_dir) + example_data = parse_file(example_data_path) + + pixel_size = calulate_pixel_size(example_data, array_parameters) + + 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) + tmp_pattern = f"{prefix}_*{wells}*_*{exposures}.tif" + 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): + rest, exposure = tif_path.stem.rsplit("_", 1) + csv_path = tif_path.parent / f"{rest}_1.csv" + if csv_path.is_file(): + if csv_path not in file_map: + file_map[csv_path] = [] + 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): + 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): + spot_parameters = retrieve_spot_parameters(input_dir, scale) + file_map = create_file_map(input_dir, wells, exposures) + output_path = Path(output_dir) + if not output_path.is_dir(): + sys.exit(f"Could not find output directory: {output_dir}") + for data_file, image_files in file_map.items(): + array_data = parse_file(data_file) + print(data_file) + for image_path in image_files: + 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) + diff --git a/sensospot_images/arial.ttf b/sensospot_images/arial.ttf new file mode 100644 index 0000000000000000000000000000000000000000..8682d94623e575a4ecc9586a35fc909dff37fb2c GIT binary patch literal 1036584 zcmeFa37lO;mB(Lix%cgBcW0wX0%T9o(9uzF19Jc0->F-#U%yT#@E@H2XZ|1SrK)b#t>sjm zQ|FvIRk!0Z&bf&Md3XNO6?^V}?RR(F+tvDRc5dsNcVGI7WrfM*yIpO;an9uq*nPiO zu2|R_|5aCe!IxZiLjUe7R_^xcGgp7XHTM3tb7%Z;`HBOVt(kLt>>A&`mR2Y4ec*~c zuKVJl4>-5S_nm89^2!zS7xpiI^_h;!ygy>Um+yVxGjCh+a{7Ba=@%Zfbe}`^`{3)J zbndW|DgU9P)*N~Ak}qC;qsz8$aBk+mANA%_rhf9apP%Ql2kh)zeBv=DAG_v7SC5

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