[ar-api] Support Action Recognition in the SDK - #532
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get_model_format fell back to yolov5pytorch for Cosmos, so version.train exported the wrong format. Map cosmos3-edge to video-coco and its image sibling cosmos3-edge-vlm to jsonl, matching the server's model registry. Add the action-recognition project type to config and the CLI. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01RXBUpHfmPSeNYibcqpPnpY
The test mocked Roboflow and the workspace to check one enum value. The enum itself shows the new type, and the other CLI tests keep covering the command's registration. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01YFK32iFwJmoResQA754RPr
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What does this PR do?
An SDK user could not train Cosmos on an Action Recognition version. Training asked the server for the wrong dataset export (a YOLO format), so Cosmos had no video data to train on. The CLI also rejected
action-recognitionas a project type.Now training Cosmos exports the video format the server expects. The image-only Cosmos variant exports its own text-image format. The CLI can create Action Recognition projects.
The SDK now picks the same export format as the server for every Cosmos model.
Example:
roboflow project create Clips --type action-recognition.version.train(model_type="cosmos3-edge").yolov5pytorch. Now: it exportsvideo-coco.Type of Change
Testing
python -m unittest(1048 pass, 1 skipped). The Cosmos format cases intests/util/test_versions.pyfail if the two Cosmos entries swap order. The new CLI type is a one-line enum value, so it has no mocked test of its own.ruff format,ruff checkandmypy robofloware clean.🤖 Generated with Claude Code
https://claude.ai/code/session_01RXBUpHfmPSeNYibcqpPnpY