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    Models/Depth Estimation/hugsam/room_envelopes_model
    Depth Estimationcc-by-nc-sa-3.0

    room_envelopes_model

    by hugsam

    Identifier
    Model ID
    hugsam/room_envelopes_model

    Tags

    room_envelopes_layoutdepth-estimationmonocular-depth3dindoorroom-layoutmogedataset:hugsam/Room_Envelopesbase_model:Ruicheng/moge-vitlbase_model:finetune:Ruicheng/moge-vitllicense:cc-by-nc-sa-3.0region:us

    Use room_envelopes_model on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

    Open Studio

    How It Runs on Mixpeek

    On Mixpeek, room_envelopes_model runs as a managed extractor inside a processing pipeline. Point a bucket of depth estimation data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.

    Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.