Install
pip install df3dbehav
Run
df3dbehav --path '/folder/with_pose_result_file/'
It will automatically find the pose_result file and save a file called df3d_behav.csv under the same folder.
Analyze the Results
You can read the csv file using pandas:
import pandas as pd
pd.read_csv('behav_clsf.csv')
Metadata
Release files for df3dbehav 0.24
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| df3dbehav-0.24.tar.gz | 444.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| df3dbehav-0.24-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 889.5 kB
Release files / df3dbehav-0.24.tar.gz
| Download URL | df3dbehav-0.24.tar.gz |
|---|---|
| Size | 444.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.6.13
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Release files / df3dbehav-0.24-py3-none-any.whl
| Download URL | df3dbehav-0.24-py3-none-any.whl |
|---|---|
| Size | 445.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.6.13
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