cybergis/rs-embed

How cybergis/rs-embed works

rs-embed is a Python library and API for producing remote-sensing foundation-model embeddings from geographic/time requests or user-supplied imagery. The principal workflow is request specification → provider imagery fetch → model input preparation/inference → embedding result; batch and export workflows add orchestration and output writing. The README documents these capabilities, while sampled source/index evidence supports selected internal calls. Some API and model implementations were not fully sampled, so uncertain links are omitted.

Main entry points: api.py Public API · embedders Model adapters · fetch.py Fetch and normalize · inference.py Export inference

Components 22

Public interface

Public API src/rs_embed/api.py
Command line src/rs_embed/cli.py

Request and runtime

Request specs src/rs_embed/core/specs.py
Input validation src/rs_embed/core/validation.py
Embedder runtime src/rs_embed/tools/runtime.py
Shape preparation src/rs_embed/tools/shape.py
Tiling and stitching src/rs_embed/tools/tiling.py

Imagery access

Provider selection src/rs_embed/providers/resolution.py
Provider adapters src/rs_embed/providers
Fetch and normalize src/rs_embed/providers/fetch.py
Patch inspection src/rs_embed/tools/inspection.py

Model execution

Model registry src/rs_embed/core/registry.py
Model catalog src/rs_embed/embedders/catalog.py
Model adapters src/rs_embed/embedders
Model architectures src/rs_embed/embedders/_vendor
Embedding result src/rs_embed/core/embedding.py

Batch and export

Export inference src/rs_embed/pipelines/inference.py
Batch exporter src/rs_embed/pipelines/exporter.py
Output writers src/rs_embed/writers.py

Other components

Python caller
Google Earth Engine
User imagery

Connections 25

Python caller → Public API: requests embeddings
Python caller → Command line: runs commands
Public API → Request specs: accepts specs src/rs_embed/api.py
Public API → Model registry: queries models src/rs_embed/api.py
Public API → Fetch and normalize: requests patches src/rs_embed/api.py
Public API → Patch inspection: inspects patches src/rs_embed/api.py
Public API → Batch exporter: starts exports src/rs_embed/api.py
Public API → Embedder runtime: dispatches inference src/rs_embed/api.py
Public API → Export inference: runs batch inference
Model registry → Model catalog: loads catalog src/rs_embed/core/registry.py
Embedder runtime → Model registry: resolves model src/rs_embed/tools/runtime.py
Embedder runtime → Model adapters: dispatches model src/rs_embed/tools/runtime.py
Model adapters → Model architectures: uses architectures src/rs_embed/embedders/onthefly_prithvi.py
Model adapters → Fetch and normalize: fetches model input src/rs_embed/embedders/base.py
Model adapters → Shape preparation: prepares input src/rs_embed/embedders/base.py
User imagery → Public API: supplies imagery
Provider selection → Provider adapters: resolves backend src/rs_embed/providers/resolution.py
Provider adapters → Google Earth Engine: fetches imagery src/rs_embed/providers/__init__.py
Fetch and normalize → Provider adapters: calls provider src/rs_embed/providers/fetch.py
Fetch and normalize → Patch inspection: checks patches src/rs_embed/providers/fetch.py
Tiling and stitching → Shape preparation: uses shape helpers src/rs_embed/tools/tiling.py
Batch exporter → Export inference: invokes inference src/rs_embed/pipelines/exporter.py
Batch exporter → Output writers: writes outputs src/rs_embed/pipelines/exporter.py
Export inference → Tiling and stitching: tiles inputs src/rs_embed/pipelines/inference.py
Export inference → Embedding result: returns embeddings src/rs_embed/pipelines/inference.py

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Drawn by GitDiagram on September 29, 2026 from the repository's file tree, README and source files. Read as Markdown ·