Geometry experiments
This directory evaluates one geometric hypothesis at a time without modifying the baseline
encoder or its result paths. Each file in hypotheses/ is a complete replacement for
encoder/geometric.py and must expose build_spatial_code() and dump_spatial_code().
The runner reads the existing SAM3 and DA3 caches directly and adapts them together in memory. It may read an existing combined geometry cache when one is already present, but never creates or modifies source inference caches. It writes derived spatial codes below:
experiments/caches/spatial codes/metric/tracking/uniform/<hypothesis>/<frames>/
Evaluation results belong below:
experiments/results/symbolic/metric/tracking/uniform/<hypothesis>/<frames>/
Start with 64 frames. Run one scene with:
python -m experiments.run scene0699_00 \
--hypothesis "Compute Gravity Before Building Object Instances" \
--depth metric --tracking tracking --input uniform --frames 64
List available hypotheses with python -m experiments.run --list.
For a full cached batch, use the launcher. Its default --workers 0 uses every CPU
available through the process affinity mask and budgets nested numerical threads across workers:
python -m experiments.launch \
--hypothesis "Compute Gravity Before Building Object Instances" \
--depth metric --tracking tracking --input uniform --frames 64
Evaluate the generated spatial codes with the existing symbolic scorer while keeping all
question-level results under experiments/results/:
python -m experiments.evaluate \
--hypothesis "Compute Gravity Before Building Object Instances" \
--depth metric --tracking tracking --input uniform --frames 64 \
--quiet --errors