Hi, really excited to give this new tracking algorithm a try!
I tried installing it into a conda environment with python 3.9 but got the following error when running the exemplary code:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In[8], line 4
1 import torch
3 from trackastra.utils import normalize
----> 4 from trackastra.model import Trackastra
5 from trackastra.tracking import graph_to_ctc, graph_to_napari_tracks
6 from trackastra.data import test_data_bacteria
File [~/opt/anaconda3/envs/20240529_testing_new_tracking_weigert/lib/python3.9/site-packages/trackastra/model/__init__.py:4](http://localhost:8888/lab/tree/Documents/20240417_viral_aneuploidy_analysis_mitosis_sisterCellLinking/SCRIPTS/~/opt/anaconda3/envs/20240529_testing_new_tracking_weigert/lib/python3.9/site-packages/trackastra/model/__init__.py#line=3)
1 # ruff: noqa: F401
3 from .model import TrackingTransformer
----> 4 from .model_api import Trackastra
File [~/opt/anaconda3/envs/20240529_testing_new_tracking_weigert/lib/python3.9/site-packages/trackastra/model/model_api.py:10](http://localhost:8888/lab/tree/Documents/20240417_viral_aneuploidy_analysis_mitosis_sisterCellLinking/SCRIPTS/~/opt/anaconda3/envs/20240529_testing_new_tracking_weigert/lib/python3.9/site-packages/trackastra/model/model_api.py#line=9)
7 from pydantic import validate_call
8 from tqdm import tqdm
---> 10 from ..data import build_windows, get_features
11 from ..tracking import build_graph, track_greedy
12 from ..utils import normalize
File [~/opt/anaconda3/envs/20240529_testing_new_tracking_weigert/lib/python3.9/site-packages/trackastra/data/__init__.py:4](http://localhost:8888/lab/tree/Documents/20240417_viral_aneuploidy_analysis_mitosis_sisterCellLinking/SCRIPTS/~/opt/anaconda3/envs/20240529_testing_new_tracking_weigert/lib/python3.9/site-packages/trackastra/data/__init__.py#line=3)
1 # ruff: noqa: F401
3 from .augmentations import AugmentationPipeline, RandomCrop
----> 4 from .data import (
5 CTCData,
6 _ctc_lineages,
7 # load_ctc_data_from_subfolders,
8 collate_sequence_padding,
9 extract_features_regionprops,
10 )
11 from .example_data import example_data_bacteria, example_data_fluo_3d, example_data_hela
12 from .sampler import (
13 BalancedBatchSampler,
14 BalancedDataModule,
15 BalancedDistributedSampler,
16 )
File [~/opt/anaconda3/envs/20240529_testing_new_tracking_weigert/lib/python3.9/site-packages/trackastra/data/data.py:23](http://localhost:8888/lab/tree/Documents/20240417_viral_aneuploidy_analysis_mitosis_sisterCellLinking/SCRIPTS/~/opt/anaconda3/envs/20240529_testing_new_tracking_weigert/lib/python3.9/site-packages/trackastra/data/data.py#line=22)
20 from tqdm import tqdm
22 from ..utils import blockwise_sum, normalize
---> 23 from . import wrfeat
24 from ._check_ctc import _check_ctc, _get_node_attributes
25 from .augmentations import AugmentationPipeline, RandomCrop
File [~/opt/anaconda3/envs/20240529_testing_new_tracking_weigert/lib/python3.9/site-packages/trackastra/data/wrfeat.py:21](http://localhost:8888/lab/tree/Documents/20240417_viral_aneuploidy_analysis_mitosis_sisterCellLinking/SCRIPTS/~/opt/anaconda3/envs/20240529_testing_new_tracking_weigert/lib/python3.9/site-packages/trackastra/data/wrfeat.py#line=20)
18 from skimage.measure import regionprops, regionprops_table
19 from tqdm import tqdm
---> 21 from trackastra.data.utils import load_tiff_timeseries
23 logger = logging.getLogger(__name__)
25 _PROPERTIES = {
26 "regionprops": (
27 "area",
(...)
38 ),
39 }
File [~/opt/anaconda3/envs/20240529_testing_new_tracking_weigert/lib/python3.9/site-packages/trackastra/data/utils.py:19](http://localhost:8888/lab/tree/Documents/20240417_viral_aneuploidy_analysis_mitosis_sisterCellLinking/SCRIPTS/~/opt/anaconda3/envs/20240529_testing_new_tracking_weigert/lib/python3.9/site-packages/trackastra/data/utils.py#line=18)
11 from tqdm import tqdm
13 logger = logging.getLogger(__name__)
16 @validate_call
17 def load_tiff_timeseries(
18 dir: Path,
---> 19 dtype: str | type | None = None,
20 downscale: tuple[int, ...] | None = None,
21 start_frame: int = 0,
22 end_frame: int | None = None,
23 ) -> np.ndarray:
24 """Loads a folder of `.tif` or `.tiff` files into a numpy array.
25 Each file is interpreted as a frame of a time series.
26
(...)
35 np.ndarray: The loaded data.
36 """
37 # TODO make safe for label arrays
TypeError: unsupported operand type(s) for |: 'type' and 'type'
I think this is related to an issue with python < 3.10, therefore I created a new environment with python=3.10 and installed everything again. Now it's running without any issues! So maybe good to indicate python >= 3.10 in the instructions (currently it says python >= 3.9).
Also, the installation of napari will not install PyQt5 which means that no napari viewer window will open (without an error message). Maybe also worth mentioning in the installation instructions to install PyQt5 (or put it in the dependencies)?
The tracking results are really nice, thanks a lot for creating this new resource!
Hi, really excited to give this new tracking algorithm a try!
I tried installing it into a conda environment with python 3.9 but got the following error when running the exemplary code:
I think this is related to an issue with python < 3.10, therefore I created a new environment with python=3.10 and installed everything again. Now it's running without any issues! So maybe good to indicate python >= 3.10 in the instructions (currently it says python >= 3.9).
Also, the installation of napari will not install PyQt5 which means that no napari viewer window will open (without an error message). Maybe also worth mentioning in the installation instructions to install PyQt5 (or put it in the dependencies)?
The tracking results are really nice, thanks a lot for creating this new resource!