environment.yaml

# DLC Post-Processing — conda environment
#
#   conda env create -f environment.yaml
#   conda activate dlc-postproc
#   python app.py
#
# This installs everything needed to launch the studio and load CSV/H5 DLC
# tracking. DeepLabCut itself is intentionally NOT pinned here: it is heavy and
# best kept in its own environment. The app can call that environment for
# inference, or you can simply post-process the .h5 / .csv it already produced.

name: dlc-postproc
channels:
  - conda-forge
dependencies:
  - python=3.11
  # ── Core GUI ──
  - pyside6>=6.5
  - pyqtgraph>=0.13
  # ── Numerics / data ──
  - numpy>=1.23,<2
  - pandas>=1.5
  - scipy>=1.10
  # ── Plotting (batch summary figures, position maps, heatmaps) ──
  - matplotlib>=3.6
  # ── Video I/O ──
  - py-opencv>=4.7
  # ── HDF5 (DLC .h5 + GLM-ready tables) ──
  - pytables>=3.8
  - h5py>=3.8
  # ── Config files ──
  - pyyaml>=6.0
  # ── Optional: test suite ──
  - pytest>=7.0