Comments (8)
We're still working out best way to include example data for users. The file sizes are large, and we don't want to end up with a ~100 MB package. Of course this is balanced by the need to make it easy for users to get started...we'll find a better compromise.
When I wrote the walkthrough, I intended users to try it on their own PNGs (though I see that I didn't make that clear at all).
To get everything, including the tests and test images/video, do a manual installation.
git clone https://github.com/soft-matter/trackpy
(or, to avoid git, download and unpack the ZIP file)
cd trackpy
python setup.py install
Later, if you want to be able to edit the scripts and have those changes applied without running python setup.py install
every time, you can install it "in place" instead:
python setup.py develop
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Just got your email. Sending an image now...
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Thanks. Yeah, it is not clear that images are not provided. I was trying it on my own images and not finding anything... so I wanted to troubleshoot whether it was my images or my use of the code that was going wrong. With your image, I find particles! ... a different number of them than you do, but particles nonetheless. I would recommend at least including a 100x100 pixel single image just to get people started.
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Hi Becca! As you've probably noticed, we created soft-matter/trackpy-examples and put PNGs of the example movie there. So when someone downloads that repo and runs the example notebook, they have everything they need to reproduce it. Or they can go in and grab a single PNG. It's referenced in the trackpy readme. Does this resolve the issue (for now, at least)?
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Sounds like a good and complete solution, I'll look at it today to test it from an outside perspective and let you know how it goes.
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Yes-- the issue is resolved. More details of my experience checking it:
Here is how I checked the examples, and how a new user might experience it: trackpy-->examples-->found readme --> cloned new repository for trackpy-examples --> %matplotlib magic didn't work, needed to upgrade my version of ipython, then needed up upgrade tornado --> then loading-video-frames.ipynb worked brilliantly. It was so nice not to even have to change the path to the images! To get "imshow" to work in performance.ipynb, I added these lines to the beginning of that notebook on my machine:
%matplotlib inline
import matplotlib
from matplotlib.pyplot import imshow
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Thanks for checking this out, and for the fix! I'll try to get in a PR soon so we can really close this issue.
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performance.ipynb
problem fixed by soft-matter/trackpy-examples#6
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Related Issues (20)
- object has no attribute 'long_name' (when inspecting 'frame') HOT 2
- tp.emsd TypeError: mean() got an unexpected keyword argument 'level' HOT 7
- Working on a napari-trackpy plugin HOT 1
- TST: Weird dtype switching on Windows HOT 2
- link_df_iter giving TypeError when using pd.concat?
- level keyword argument was removed in pandas>2.0 HOT 1
- Release v0.6.2 HOT 5
- Tutorial shows problem using latest pandas HOT 2
- Linking using multiple HDF5 files. HOT 1
- Use pims.as_grey instead of image[:, :, 1] in walkthrough tutorial.
- Old Python version in installation instructions
- TST: Need to replace a GitHub action
- tp.batch does not perform batch correctly (all frames output as 0) HOT 3
- Error in trackpy.emsd() function: TypeError: mean() got an unexpected keyword argument 'level' HOT 5
- `plot_traj3d` throws error
- Locate only within specific ROI HOT 2
- [Question] methods for initial estimation of `minmass` HOT 1
- [Enhancement] Allowing possibility to convert raw image to `uint16`
- [Question] How to add optional arguments in after_locate function in tp.batch HOT 1
- Release v0.6.3
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