Add a record script to generate .viser files #1
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- Created src/mjlab/scripts/record.py as a unified recording script - Supports both local checkpoint files and WandB checkpoints - Auto-detects appropriate runner class based on task - Handles motion files for tracking tasks automatically - Added script entry point to pyproject.toml - Auto-generates output names from task IDs when not specified Usage examples: uv run record Mjlab-Velocity-Flat-Unitree-G1 --wandb-run-path org/project/run-id --name rec1 uv run record Mjlab-Cartpole --checkpoint-file logs/model.pt --num-envs 4 --name rec2 The new script consolidates the patterns from record_demo.py and record_velocity.py into a single, task-agnostic recording tool.
Changes: - Use same dataclass(frozen=True) pattern as play.py - Split into run_record() and main() functions for consistency - Identical checkpoint loading logic (checkpoint_file + wandb_run_path) - Same motion file handling for tracking tasks - Same two-stage CLI parsing (task selection then config) - Use [INFO] logging format like play.py - Add share URL support from viser best practices - Set initial camera pose for better default view - Use clip_actions from agent_cfg like play.py - Proper env.close() cleanup Recording-specific features: - output_dir, output_name for file generation - num_steps, frame_skip, sleep_duration for recording control - Auto-generate output names from task IDs This provides the same familiar interface as play.py while adding recording capabilities for static webpage embedding.
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