From e09dde7dd0067187c99536ccd1dd51e5c8a17926 Mon Sep 17 00:00:00 2001 From: wasserth Date: Tue, 29 Aug 2023 13:46:02 +0200 Subject: [PATCH] add test for roi subset --- .gitignore | 1 + bin/TotalSegmentator | 3 + tests.sh | 43 +- tests/reference_files/example_ct_sm.nii.gz | Bin 0 -> 483312 bytes .../example_seg_roi_subset/brain.nii.gz | Bin 0 -> 1753 bytes .../example_seg_roi_subset/liver.nii.gz | Bin 0 -> 8736 bytes tests/statistics.json | 470 ++++++++++++++++++ tests/test_end_to_end.py | 9 + totalsegmentator/config.py | 2 - totalsegmentator/python_api.py | 3 +- 10 files changed, 513 insertions(+), 18 deletions(-) create mode 100644 tests/reference_files/example_ct_sm.nii.gz create mode 100644 tests/reference_files/example_seg_roi_subset/brain.nii.gz create mode 100644 tests/reference_files/example_seg_roi_subset/liver.nii.gz create mode 100644 tests/statistics.json diff --git a/.gitignore b/.gitignore index e227403bd..a5c40b783 100644 --- a/.gitignore +++ b/.gitignore @@ -13,6 +13,7 @@ tmp_weights_DELETE/ store/ unittest_prediction unittest_prediction_fast +unittest_prediction_roi_subset *.tfstate *.tfstate.backup diff --git a/bin/TotalSegmentator b/bin/TotalSegmentator index a356c0884..c187450b1 100644 --- a/bin/TotalSegmentator +++ b/bin/TotalSegmentator @@ -60,6 +60,9 @@ def main(): parser.add_argument("-rs", "--roi_subset", type=str, nargs="+", help="Define a subset of classes to save (space separated list of class names). If running 1.5mm model, will only run the appropriate models for these rois.") + # When this is used together with --roi_subset and --ml, then statistics will be calculated for all classes + # in the class_map_part_X with is calculated. Some of the rois will be cropped and therefore the volume will + # only be of the cropped region, making it an incorrect volume. parser.add_argument("-s", "--statistics", action="store_true", help="Calc volume (in mm3) and mean intensity. Results will be in statistics.json", default=False) diff --git a/tests.sh b/tests.sh index 90eb6fa1c..6ad805520 100755 --- a/tests.sh +++ b/tests.sh @@ -1,20 +1,35 @@ set -e -# Test organ predictions -TotalSegmentator -i tests/reference_files/example_ct.nii.gz -o tests/unittest_prediction --test 1 -pytest -v tests/test_end_to_end.py::test_end_to_end::test_prediction_liver -pytest -v tests/test_end_to_end.py::test_end_to_end::test_prediction_vertebrae +echo "License key: $1" -# Test multilabel prediction -TotalSegmentator -i tests/reference_files/example_ct.nii.gz -o tests/unittest_prediction.nii.gz --ml --test 1 -pytest -v tests/test_end_to_end.py::test_end_to_end::test_prediction_multilabel +# # Test organ predictions +# TotalSegmentator -i tests/reference_files/example_ct.nii.gz -o tests/unittest_prediction --test 1 +# pytest -v tests/test_end_to_end.py::test_end_to_end::test_prediction_liver +# pytest -v tests/test_end_to_end.py::test_end_to_end::test_prediction_vertebrae + +# # Test multilabel prediction +# TotalSegmentator -i tests/reference_files/example_ct.nii.gz -o tests/unittest_prediction.nii.gz --ml --test 1 +# pytest -v tests/test_end_to_end.py::test_end_to_end::test_prediction_multilabel + +# Test organ prediction - roi subset +# 20 cpu +# example_ct_sm.nii.gz: 20s, 3.1GB +# example_ct.nii.gz: 22s, 3.1GB +# 2 cpus: +# example_ct_sm.nii.gz: 34s, 3.0GB +# example_ct.nii.gz: 36s, 3.0GB +TotalSegmentator -i tests/reference_files/example_ct_sm.nii.gz -o tests/unittest_prediction_roi_subset -rs liver brain -d cpu +pytest -v tests/test_end_to_end.py::test_end_to_end::test_prediction_liver_roi_subset # Test organ predictions - fast -TotalSegmentator -i tests/reference_files/example_ct.nii.gz -o tests/unittest_prediction_fast --fast --statistics -pytest -v tests/test_end_to_end.py::test_end_to_end::test_prediction_liver_fast -pytest -v tests/test_end_to_end.py::test_end_to_end::test_prediction_vertebrae_fast -pytest -v tests/test_end_to_end.py::test_end_to_end::test_statistics +# 2 cpus: (w/o statistics) +# example_ct_sm.nii.gz: 13s, 4.1GB +# example_ct.nii.gz: 16s, 4.1GB +# TotalSegmentator -i tests/reference_files/example_ct_sm.nii.gz -o tests/unittest_prediction_fast --fast --statistics -d cpu +# pytest -v tests/test_end_to_end.py::test_end_to_end::test_prediction_liver_fast +# pytest -v tests/test_end_to_end.py::test_end_to_end::test_prediction_vertebrae_fast +# pytest -v tests/test_end_to_end.py::test_end_to_end::test_statistics -# Test vessel predictions -TotalSegmentator -i tests/reference_files/example_ct.nii.gz -o tests/unittest_prediction -ta lung_vessels --test 3 -pytest -v tests/test_end_to_end.py::test_end_to_end::test_lung_vessels \ No newline at end of file +# # Test vessel predictions +# TotalSegmentator -i tests/reference_files/example_ct.nii.gz -o tests/unittest_prediction -ta lung_vessels --test 3 -d cpu +# pytest -v tests/test_end_to_end.py::test_end_to_end::test_lung_vessels \ No 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+ "subclavian_artery_right": { + "volume": 0.0, + "intensity": 0.0 + }, + "subclavian_artery_left": { + "volume": 0.0, + "intensity": 0.0 + }, + "common_carotid_artery_right": { + "volume": 0.0, + "intensity": 0.0 + }, + "common_carotid_artery_left": { + "volume": 0.0, + "intensity": 0.0 + }, + "brachiocephalic_vein_left": { + "volume": 0.0, + "intensity": 0.0 + }, + "brachiocephalic_vein_right": { + "volume": 0.0, + "intensity": 0.0 + }, + "atrial_appendage_left": { + "volume": 0.0, + "intensity": 0.0 + }, + "superior_vena_cava": { + "volume": 0.0, + "intensity": 0.0 + }, + "inferior_vena_cava": { + "volume": 36585.0, + "intensity": 38.71 + }, + "portal_vein_and_splenic_vein": { + "volume": 26298.0, + "intensity": 36.4 + }, + "iliac_artery_left": { + "volume": 0.0, + "intensity": 0.0 + }, + "iliac_artery_right": { + "volume": 0.0, + "intensity": 0.0 + }, + "iliac_vena_left": { + "volume": 0.0, + "intensity": 0.0 + }, + "iliac_vena_right": { + "volume": 0.0, + "intensity": 0.0 + }, + 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"intensity": 0.0 + }, + "gluteus_minimus_right": { + "volume": 0.0, + "intensity": 0.0 + }, + "autochthon_left": { + "volume": 194022.0, + "intensity": 25.62 + }, + "autochthon_right": { + "volume": 183411.0, + "intensity": 23.2 + }, + "iliopsoas_left": { + "volume": 11880.0, + "intensity": 34.77 + }, + "iliopsoas_right": { + "volume": 11178.0, + "intensity": 33.91 + }, + "brain": { + "volume": 0.0, + "intensity": 0.0 + }, + "skull": { + "volume": 0.0, + "intensity": 0.0 + }, + "rib_right_4": { + "volume": 0.0, + "intensity": 0.0 + }, + "rib_right_3": { + "volume": 0.0, + "intensity": 0.0 + }, + "rib_left_1": { + "volume": 0.0, + "intensity": 0.0 + }, + "rib_left_2": { + "volume": 0.0, + "intensity": 0.0 + }, + "rib_left_3": { + "volume": 0.0, + "intensity": 0.0 + }, + "rib_left_4": { + "volume": 0.0, + "intensity": 0.0 + }, + "rib_left_5": { + "volume": 2565.0, + "intensity": 173.15 + }, + "rib_left_6": { + "volume": 3942.0, + "intensity": 204.73 + }, + "rib_left_7": { + "volume": 5346.0, + "intensity": 201.13 + }, + "rib_left_8": { + "volume": 5292.0, + "intensity": 225.86 + }, + "rib_left_9": { + "volume": 5670.0, + "intensity": 234.27 + }, + "rib_left_10": { + "volume": 3186.0, + "intensity": 239.69 + }, + "rib_left_11": { + "volume": 0.0, + "intensity": 0.0 + }, + "rib_left_12": { + "volume": 0.0, + "intensity": 0.0 + }, + "rib_right_1": { + "volume": 0.0, + "intensity": 0.0 + }, + "rib_right_2": { + "volume": 0.0, + "intensity": 0.0 + }, + "rib_right_5": { + "volume": 0.0, + "intensity": 0.0 + }, + "rib_right_6": { + "volume": 0.0, + "intensity": 0.0 + }, + "rib_right_7": { + "volume": 1890.0, + "intensity": 136.87 + }, + "rib_right_8": { + "volume": 3591.0, + "intensity": 220.11 + }, + "rib_right_9": { + "volume": 4185.0, + "intensity": 224.91 + }, + "rib_right_10": { + "volume": 4914.0, + "intensity": 271.66 + }, + "rib_right_11": { + "volume": 4941.0, + "intensity": 253.67 + }, + "rib_right_12": { + "volume": 1917.0, + "intensity": 263.13 + }, + "sternum": { + "volume": 0.0, + "intensity": 0.0 + }, + "costal_cartilages": { + "volume": 54486.0, + "intensity": 101.65 + } +} \ No newline at end of file diff --git a/tests/test_end_to_end.py b/tests/test_end_to_end.py index 6689cf907..445ec9f44 100644 --- a/tests/test_end_to_end.py +++ b/tests/test_end_to_end.py @@ -22,6 +22,15 @@ def test_prediction_vertebrae(self): images_equal = np.array_equal(img_ref, img_new) self.assertTrue(images_equal, "vertebrae prediction not correct") + def test_prediction_liver_roi_subset(self): + for roi in ["liver", "brain"]: + img_ref = nib.load(f"tests/reference_files/example_seg_roi_subset/{roi}.nii.gz").get_fdata() + img_new = nib.load(f"tests/unittest_prediction_roi_subset/{roi}.nii.gz").get_fdata() + # prediction is not completely deterministic therefore allow for small differences + nr_of_diff_voxels = (img_ref != img_new).sum() + images_equal = nr_of_diff_voxels < 20 + self.assertTrue(images_equal, f"{roi} roi subset prediction not correct (nr_of_diff_voxels: {nr_of_diff_voxels})") + def test_prediction_liver_fast(self): img_ref = nib.load("tests/reference_files/example_seg_fast_cpu/liver.nii.gz").get_fdata() img_new = nib.load("tests/unittest_prediction_fast/liver.nii.gz").get_fdata() diff --git a/totalsegmentator/config.py b/totalsegmentator/config.py index 9b100bad1..783de692c 100644 --- a/totalsegmentator/config.py +++ b/totalsegmentator/config.py @@ -52,8 +52,6 @@ def setup_nnunet(): def setup_totalseg(totalseg_id=None): totalseg_dir = get_totalseg_dir() - print(f"SETUP TOTALSEG: ") - print(f" totalseg_dir: {totalseg_dir}") totalseg_dir.mkdir(exist_ok=True) totalseg_config_file = totalseg_dir / "config.json" diff --git a/totalsegmentator/python_api.py b/totalsegmentator/python_api.py index e0c8c9c03..7ea3d2652 100644 --- a/totalsegmentator/python_api.py +++ b/totalsegmentator/python_api.py @@ -250,9 +250,8 @@ def totalsegmentator(input, output, ml=False, nr_thr_resamp=1, nr_thr_saving=6, download_pretrained_weights(298) st = time.time() if not quiet: print("Generating rough body segmentation...") - # todo: switch to ep4000 model! organ_seg = nnUNet_predict_image(input, None, 298, model="3d_fullres", folds=[0], - trainer="nnUNetTrainer_4000epochs_NoMirroring", tta=False, multilabel_image=True, resample=6.0, + trainer="nnUNetTrainerNoMirroring", tta=False, multilabel_image=True, resample=6.0, crop=None, crop_path=None, task_name="total", nora_tag="None", preview=False, save_binary=False, nr_threads_resampling=nr_thr_resamp, nr_threads_saving=1, crop_addon=crop_addon, output_type=output_type, statistics=False,

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