Routes 3D ResNets PyTorch video action-recognition workflows across training, inference, and data preparation.
日本語の概要は準備中です。原文の説明を表示しています。
Operate doccano for text annotation, dataset import/export, auto-labeling, deployment, and repo maintenance.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
doccano is a text annotation platform with a Django backend, a Nuxt frontend, and CLI/deployment entry points for local, Docker, and cloud use.
Use this skill when a task mentions doccano itself, project/label/member workflows, dataset import or export, auto-labeling, deployment, or repository maintenance for this checkout.
| Route | Read when |
|---|---|
sub-skills/setup-and-deploy/ | You need install, initialize, run, package, Docker, or cloud deployment guidance. |
sub-skills/project-annotation/ | You need project creation, label setup, members, comments, annotation, cloning, or metrics. |
sub-skills/data-transfer/ | You need dataset import/export formats, validation, encodings, or format-specific troubleshooting. |
sub-skills/auto-labeling/ | You need template selection, request testing, response mapping, label mapping, or auto-labeling activation. |
sub-skills/setup-and-deploy/SKILL.md.python-repository-maintenance in mind and start with sub-skills/setup-and-deploy/SKILL.md for the build/runtime entry points.Use the installed package and CLI before deeper work:
pip install doccano
python -I -c "import backend; import backend.cli; print(backend.__file__)"
doccano --help
If the package was already installed, python -m pip check is a useful follow-up health check.
references/overview.md for the repo map and major surfaces.references/task-types.md when you need the supported project types or their annotation shapes.references/cli-reference.md for the command list and environment variables.references/troubleshooting.md for cross-cutting install, runtime, and validation failures.references/repo-provenance.md before deciding whether the skill is stale.references/repo-routing-metadata.json when you need the routing contract consumed by repo-skills-router.scripts/cli-smoke.sh for a fast install-and-CLI sanity check.まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Routes 3D ResNets PyTorch video action-recognition workflows across training, inference, and data preparation.
日本語の概要は準備中です。原文の説明を表示しています。
Guide 3DDFA Python inference, geometry rendering, training/evaluation, and optional C++ ONNX workflows for 3D dense face alignment.
日本語の概要は準備中です。原文の説明を表示しています。
Routes 3DDFA_V2 face-alignment setup, still-image demos, video tracking, and ONNX benchmarking workflows.
日本語の概要は準備中です。原文の説明を表示しています。
Operate AB3DMOT 3D multi-object tracking workflows for KITTI and nuScenes data, tracking, evaluation, and visualization.
日本語の概要は準備中です。原文の説明を表示しています。
Use Hugging Face Accelerate for PyTorch training-loop migration, distributed launch/configuration, DeepSpeed/FSDP/TPU backend setup, big-model inference/offload, checkpointing, tracking, and troubleshooting.
日本語の概要は準備中です。原文の説明を表示しています。
Route Acme reinforcement-learning framework tasks across core loops, replay/data, JAX agents, and TensorFlow/Sonnet agents.
日本語の概要は準備中です。原文の説明を表示しています。