DL_Track_US
The DL_Track_US package provides an easy to use graphical user interface (GUI) for deep learning based analysis of muscle architectural parameters from longitudinal ultrasonography images of human lower limb muscles. Please take a look at our documentation for more information (note that aggressive ad-blockers might break the visualization of the repository description as well as the online documentation). This code is based on a previously published algorithm and replaces it. We have extended the functionalities of the previously proposed code. The previous code will not be updated and future updates will be included in this repository.
Getting started
For detailled information about installaion of the DL_Track_US python package we refer you to our documentation. There you will finde guidelines not only for the installation procedure of DL_Track_US, but also concerding conda and GPU setup.
Quickstart
Once installed, DL_Track_US can be started from the command prompt with the respective environment activated:
(DL_Track_US0.3.0) C:/User/Desktop/ python -m DL_Track_US
In case you have downloaded the executable, simply double-click the DL_Track_US icon.
Regardless of the used method, the GUI should open. For detailed the desciption of our GUI as well as usage examples, please take a look at the user instruction. An illustration of out GUI start window is presented below. It is here where users must specify input directories, choose the preferred analysis type, specify the analysis parameters or train thrain their own neural networks based on their own training data.
Testing
We have not yet integrated unit testing for DL_Track_US. Nonetheless, we have provided instructions to objectively test whether DL_Track_US, once installed, is functionable. To perform the testing procedures yourself, check out the test instructions.
Code documentation
In order to see the detailled scope and description of the modules and functions included in the DL_Track_US package, you can do so either directly in the code, or in the Documentation section of our online documentation.
Community guidelines
Wheter you want to contribute, report a bug or have troubles with the DL_Track_US package, take a look at the provided instructions how to best do so.
Metadata
Release files for DL-Track-US 0.3.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| dl_track_us-0.3.0.tar.gz | 44.9 MB | Without provenance | Details for dl_track_us-0.3.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| dl_track_us-0.3.0-py3-none-any.whl | Python 3 | none | any | Details for dl_track_us-0.3.0-py3-none-any.whl |
Total release size: 89.6 MB
Release files / dl_track_us-0.3.0.tar.gz
| Download URL | dl_track_us-0.3.0.tar.gz |
|---|---|
| Size | 44.9 MB |
| Tags | Source |
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twine/6.1.0 CPython/3.10.16
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Release files / dl_track_us-0.3.0-py3-none-any.whl
| Download URL | dl_track_us-0.3.0-py3-none-any.whl |
|---|---|
| Size | 44.7 MB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.10.16
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