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mkdocs.yml
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site_name: Roboflow Inference
site_url: https://inference.roboflow.com/
site_author: Roboflow
site_description: Scalable, on-device computer vision deployment.
repo_name: roboflow/inference
repo_url: https://github.com/roboflow/inference
edit_uri: https://github.com/roboflow/inference/tree/main/docs
copyright: Roboflow 2024. All rights reserved.
extra:
social:
- icon: fontawesome/brands/github
link: https://github.com/roboflow
- icon: fontawesome/brands/youtube
link: https://www.youtube.com/roboflow
- icon: fontawesome/brands/linkedin
link: https://www.linkedin.com/company/roboflow-ai/mycompany/
- icon: fontawesome/brands/twitter
link: https://twitter.com/roboflow
analytics:
provider: google
property: G-T0CED2YY8K
version:
default: 1.0
extra_css:
- styles.css
- styles/cookbooks.css
nav:
- Roboflow Inference:
- What is Inference?: index.md
- Enterprise Features: enterprise/enterprise.md
- Inference Basics:
- Roboflow Ecosystem: quickstart/roboflow_ecosystem.md
- 'Models: Popular': quickstart/aliases.md
- 'Models: Fine-tuned': quickstart/explore_models.md
- 'Models: Universe': quickstart/load_from_universe.md
- 'Models: Local Weights': models/from_local_weights.md
- Supported Fine-Tuned Models:
- YOLOv10: fine-tuned/yolov10.md
- YOLOv9: fine-tuned/yolov9.md
- YOLOv8: fine-tuned/yolov8.md
- YOLOv7: fine-tuned/yolov7.md
- YOLOv5: fine-tuned/yolov5.md
- YOLO-NAS: fine-tuned/yolonas.md
- Foundation Model:
- What is a Foundation Model?: foundation/about.md
- CLIP (Classification, Embeddings): foundation/clip.md
- CogVLM (Multimodal Language Model): foundation/cogvlm.md
- DocTR (OCR): foundation/doctr.md
- TrOCR (OCR): foundation/trocr.md
- Grounding DINO (Object Detection): foundation/grounding_dino.md
- L2CS-Net (Gaze Detection): foundation/gaze.md
- PaliGemma: foundation/paligemma.md
- Segment Anything (Segmentation): foundation/sam.md
- Segment Anything 2 (Segmentation): foundation/sam2.md
- YOLO-World (Object Detection): foundation/yolo_world.md
- OwlV2 (Object Detection): foundation/owlv2.md
- Run a Model:
- Getting started: quickstart/run_a_model.md
- Predict on an Image Over HTTP: quickstart/run_model_on_image.md
- Predict on a Video, Webcam or RTSP Stream: quickstart/run_model_on_rtsp_webcam.md
- Predict Over UDP: quickstart/run_model_over_udp.md
- Keypoint Detection: quickstart/run_keypoint_detection.md
- Deploy a Model:
- Configure Your Deployment: https://roboflow.github.io/deploy-setup-widget/results.html
- How Do I Run Inference?: quickstart/inference_101.md
- What Devices Can I Use?: quickstart/devices.md
- Retrieve Your API Key: quickstart/configure_api_key.md
- Model Licenses: https://roboflow.com/licensing
- Workflows:
- About Workflows: workflows/about.md
- Create And Run: workflows/create_and_run.md
- Ecosystem: workflows/understanding.md
- Blocks Overview: workflows/blocks_connections.md
- Blocks Gallery: workflows/blocks.md
- Examples: workflows/gallery_index.md
- User Guide:
- Running Workflows: workflows/modes_of_running.md
- Workflows Definitions: workflows/definitions.md
- Workflow Execution: workflows/workflow_execution.md
- Developer Guide:
- Compiler: workflows/workflows_compiler.md
- Execution Engine: workflows/workflows_execution_engine.md
- Kinds: workflows/kinds.md
- Blocks Creation: workflows/create_workflow_block.md
- Blocks Bundling: workflows/blocks_bundling.md
- Dynamic Python Blocks: workflows/custom_python_code_blocks.md
- Versioning: workflows/versioning.md
- Testing: workflows/testing.md
- Reference:
- Inference Pipeline: using_inference/inference_pipeline.md
- Active Learning:
- Use Active Learning: enterprise/active-learning/active_learning.md
- Sampling Strategies:
- Random Sampling: enterprise/active-learning/random_sampling.md
- Detection Number: enterprise/active-learning/detection_number.md
- Close to Threshold Sampling: enterprise/active-learning/close_to_threshold_sampling.md
- Classes Based: enterprise/active-learning/classes_based.md
- Enterprise Features:
- Parallel HTTP API: enterprise/parallel_processing.md
- Stream Management API: enterprise/stream_management_api.md
- Inference Helpers:
- Inference Landing Page: inference_helpers/inference_landing_page.md
- Inference CLI: inference_helpers/inference_cli.md
- Inference SDK: inference_helpers/inference_sdk.md
- inference configuration:
- Environmental variables: server_configuration/environmental_variables.md
- Security of input formats: server_configuration/accepted_input_formats.md
- Reference:
- Inference API Reference: docs/reference/
- Running With Docker: quickstart/docker.md
- Docker Configuration Options: quickstart/docker_configuration_options.md
- Install “bare metal” Inference GPU on Windows: quickstart/inference_gpu_windows.md
- Contribute to Inference: contributing.md
- Changelog: https://github.com/roboflow/inference/releases
- Cookbooks: cookbooks.md
theme:
name: 'material'
logo: inference-icon.png
favicon: inference-icon.png
custom_dir: docs/theme
font:
text: Roboto
code: Roboto Mono
features:
- navigation.top
- navigation.tabs
- navigation.tabs.sticky
- navigation.prune
- navigation.footer
- navigation.tracking
- navigation.indexes
- navigation.sections
- content.code.copy
palette:
- scheme: default
primary: 'custom'
toggle:
icon: material/brightness-7
name: Switch to dark mode
- scheme: slate
primary: 'custom'
toggle:
icon: material/brightness-4
name: Switch to light mode
plugins:
- mkdocstrings:
handlers:
python:
paths: [.]
- search
- swagger-ui-tag
- mkdocs-jupyter
- social:
cards_layout_dir: docs/layouts
cards_layout: custom
- gen-files:
scripts:
- docs/scripts/gen_ref_pages.py
- literate-nav:
nav_file: nav.md
- macros:
include_dir: docs/include
markdown_extensions:
- admonition
- pymdownx.details
- pymdownx.superfences
- attr_list
- md_in_html
- pymdownx.tabbed:
alternate_style: true
- toc:
permalink: true
extra_javascript:
- 'https://widget.kapa.ai/kapa-widget.bundle.js'
- 'javascript/init_kapa_widget.js'
- 'javascript/cookbooks.js'