master

Hhezhenhao2feat: refactor transform pipeline, align architecture docs, add data module design doc

ade97968创建于 16 天前历史提交

文件	最后提交记录	最后更新时间
architecture-text.md	feat: refactor transform pipeline, align architecture docs, add data module design doc - Refactor TransformStep base class and TransformRegistry to support from_config with TransformContext injection; move pipeline helpers into registry and separate images/resize transforms into own modules - Update loader.py to resolve transform inputs from model profile, build TransformContext from recipe + schema + norm_stats - Refactor ACT adapter to use lerobot ACTConfig directly with dynamically built input_features from DataSchema cameras - Remove "Training Artifacts Are Deployable" section from architecture docs; renumber §2.5 to "Dependencies Are Installed On Demand"; move SVG diagrams to docs/graph/, move architecture-text.md to docs/graph/ - Add docs/modules/data-module.md and data-module.cn.md covering data module design: layer responsibilities, Canonical IR, format reader protocol, LeRobot V3 reader, transform pipeline, sampling, batch contract, Observation container, deployment metadata reuse, extension guide, design constraints	16 天前
vla-factory-deployment-inference-flow.cn.svg	feat: refactor transform pipeline, align architecture docs, add data module design doc - Refactor TransformStep base class and TransformRegistry to support from_config with TransformContext injection; move pipeline helpers into registry and separate images/resize transforms into own modules - Update loader.py to resolve transform inputs from model profile, build TransformContext from recipe + schema + norm_stats - Refactor ACT adapter to use lerobot ACTConfig directly with dynamically built input_features from DataSchema cameras - Remove "Training Artifacts Are Deployable" section from architecture docs; renumber §2.5 to "Dependencies Are Installed On Demand"; move SVG diagrams to docs/graph/, move architecture-text.md to docs/graph/ - Add docs/modules/data-module.md and data-module.cn.md covering data module design: layer responsibilities, Canonical IR, format reader protocol, LeRobot V3 reader, transform pipeline, sampling, batch contract, Observation container, deployment metadata reuse, extension guide, design constraints	16 天前
vla-factory-deployment-inference-flow.en.svg	feat: refactor transform pipeline, align architecture docs, add data module design doc - Refactor TransformStep base class and TransformRegistry to support from_config with TransformContext injection; move pipeline helpers into registry and separate images/resize transforms into own modules - Update loader.py to resolve transform inputs from model profile, build TransformContext from recipe + schema + norm_stats - Refactor ACT adapter to use lerobot ACTConfig directly with dynamically built input_features from DataSchema cameras - Remove "Training Artifacts Are Deployable" section from architecture docs; renumber §2.5 to "Dependencies Are Installed On Demand"; move SVG diagrams to docs/graph/, move architecture-text.md to docs/graph/ - Add docs/modules/data-module.md and data-module.cn.md covering data module design: layer responsibilities, Canonical IR, format reader protocol, LeRobot V3 reader, transform pipeline, sampling, batch contract, Observation container, deployment metadata reuse, extension guide, design constraints	16 天前
vla-factory-layered-architecture.cn.svg	feat: refactor transform pipeline, align architecture docs, add data module design doc - Refactor TransformStep base class and TransformRegistry to support from_config with TransformContext injection; move pipeline helpers into registry and separate images/resize transforms into own modules - Update loader.py to resolve transform inputs from model profile, build TransformContext from recipe + schema + norm_stats - Refactor ACT adapter to use lerobot ACTConfig directly with dynamically built input_features from DataSchema cameras - Remove "Training Artifacts Are Deployable" section from architecture docs; renumber §2.5 to "Dependencies Are Installed On Demand"; move SVG diagrams to docs/graph/, move architecture-text.md to docs/graph/ - Add docs/modules/data-module.md and data-module.cn.md covering data module design: layer responsibilities, Canonical IR, format reader protocol, LeRobot V3 reader, transform pipeline, sampling, batch contract, Observation container, deployment metadata reuse, extension guide, design constraints	16 天前
vla-factory-layered-architecture.en.svg	feat: refactor transform pipeline, align architecture docs, add data module design doc - Refactor TransformStep base class and TransformRegistry to support from_config with TransformContext injection; move pipeline helpers into registry and separate images/resize transforms into own modules - Update loader.py to resolve transform inputs from model profile, build TransformContext from recipe + schema + norm_stats - Refactor ACT adapter to use lerobot ACTConfig directly with dynamically built input_features from DataSchema cameras - Remove "Training Artifacts Are Deployable" section from architecture docs; renumber §2.5 to "Dependencies Are Installed On Demand"; move SVG diagrams to docs/graph/, move architecture-text.md to docs/graph/ - Add docs/modules/data-module.md and data-module.cn.md covering data module design: layer responsibilities, Canonical IR, format reader protocol, LeRobot V3 reader, transform pipeline, sampling, batch contract, Observation container, deployment metadata reuse, extension guide, design constraints	16 天前
vla-factory-training-data-flow.cn.svg	feat: refactor transform pipeline, align architecture docs, add data module design doc - Refactor TransformStep base class and TransformRegistry to support from_config with TransformContext injection; move pipeline helpers into registry and separate images/resize transforms into own modules - Update loader.py to resolve transform inputs from model profile, build TransformContext from recipe + schema + norm_stats - Refactor ACT adapter to use lerobot ACTConfig directly with dynamically built input_features from DataSchema cameras - Remove "Training Artifacts Are Deployable" section from architecture docs; renumber §2.5 to "Dependencies Are Installed On Demand"; move SVG diagrams to docs/graph/, move architecture-text.md to docs/graph/ - Add docs/modules/data-module.md and data-module.cn.md covering data module design: layer responsibilities, Canonical IR, format reader protocol, LeRobot V3 reader, transform pipeline, sampling, batch contract, Observation container, deployment metadata reuse, extension guide, design constraints	16 天前
vla-factory-training-data-flow.en.svg	feat: refactor transform pipeline, align architecture docs, add data module design doc - Refactor TransformStep base class and TransformRegistry to support from_config with TransformContext injection; move pipeline helpers into registry and separate images/resize transforms into own modules - Update loader.py to resolve transform inputs from model profile, build TransformContext from recipe + schema + norm_stats - Refactor ACT adapter to use lerobot ACTConfig directly with dynamically built input_features from DataSchema cameras - Remove "Training Artifacts Are Deployable" section from architecture docs; renumber §2.5 to "Dependencies Are Installed On Demand"; move SVG diagrams to docs/graph/, move architecture-text.md to docs/graph/ - Add docs/modules/data-module.md and data-module.cn.md covering data module design: layer responsibilities, Canonical IR, format reader protocol, LeRobot V3 reader, transform pipeline, sampling, batch contract, Observation container, deployment metadata reuse, extension guide, design constraints	16 天前