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This branch is 11 commits behind HQU-gxy/CVTH3PE:master
crosstyan b3da8ef7b2 new
2025-07-11 15:40:57 +08:00
.cursor/.rules
feat: Enhance play notebook and camera module with new unprojection functionalities
2025-04-24 18:55:24 +08:00
.vscode
feat: Enhance play notebook and camera module with new functionalities
2025-04-17 11:48:53 +08:00
app
new
2025-07-11 15:40:57 +08:00
optical_detect_result
Single-person detection and DLT, but there is no complete tracking
2025-07-08 14:06:10 +08:00
paper
docs: Improve readability of section 3.1 in Chen et al. paper
2025-03-06 12:08:49 +08:00
.gitattributes
feat: Enhance camera module with new data structures and utility functions
2025-04-15 10:20:49 +08:00
.gitignore
x
2025-06-03 16:42:51 +08:00
.python-version
init
2025-03-03 11:14:21 +08:00
filter_object_by_box.ipynb
new
2025-07-11 15:40:57 +08:00
filter_object_by_box.py
single peopele detect and tracking
2025-06-13 16:02:15 +08:00
main.py
x
2025-03-03 12:03:37 +08:00
optical_flow_trajectory.ipynb
Single-person detection and DLT, but there is no complete tracking
2025-07-08 14:06:10 +08:00
play.ipynb
Single-person detection and DLT, but there is no complete tracking
2025-07-08 14:06:10 +08:00
playground.py
single peopele detect and tracking
2025-06-13 16:02:15 +08:00
plot_epipolar_lines.ipynb
x
2025-06-03 16:42:51 +08:00
pyproject.toml
single peopele detect and tracking
2025-06-13 16:02:15 +08:00
README.md
feat: Migrate play notebook to Python script and update dependencies
2025-04-25 17:25:56 +08:00
rebuild_by_epipolar_line.ipynb
I'm trying to reconstruct a multi-person scene using epipolar line. The code is not yet completed.
2025-07-11 10:17:24 +08:00
rebuild_by_epipolar_line.py
modify parameters
2025-07-11 10:27:42 +08:00
single_people_detect_track.py
new
2025-07-11 15:40:57 +08:00
smooth_3d_kps.ipynb
Single-person detection and DLT, but there is no complete tracking
2025-07-08 14:06:10 +08:00
temp_test_camera_ex_params.ipynb
x
2025-06-03 16:42:51 +08:00
uv.lock
single peopele detect and tracking
2025-06-13 16:02:15 +08:00

README.md 

jupytext --to py:percent <script>.ipynb
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Jupyter Notebook 83.5%
Python 16.5%