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updated docker image
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.devcontainer/Dockerfile

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@@ -23,5 +23,6 @@ RUN pip3 install timm==1.0.16
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RUN pip3 install gdown==5.2.0
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RUN pip3 install onnxruntime-gpu==1.11.0
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RUN pip3 install supervisely[model-benchmark]==6.73.404
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RUN pip3 install supervisely[training]==6.73.404
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LABEL "role"="development"

docker/Dockerfile

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@@ -18,6 +18,7 @@ RUN pip3 install Pillow==9.5.0
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RUN pip3 install timm==1.0.16
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RUN pip3 install onnxruntime-gpu==1.11.0
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RUN pip3 install supervisely[model-benchmark]==6.73.404
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RUN pip3 install supervisely[training]==6.73.404
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RUN apt-get update && apt-get -y install curl
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docker/publish.sh

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docker build -t supervisely/sparseinst:1.0.3 . && \
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docker push supervisely/sparseinst:1.0.3
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docker build -t supervisely/sparseinst:1.0.4 . && \
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docker push supervisely/sparseinst:1.0.4

serve/config.json

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"icon_cover": true,
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"poster": "https://github.com/supervisely-ecosystem/SparseInst/releases/download/v0.0.1/poster_sparseInst-serve.jpg",
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"community_agent": false,
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"docker_image": "supervisely/sparseinst:1.0.3",
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"docker_image": "supervisely/sparseinst:1.0.4",
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"instance_version": "6.14.0",
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"entrypoint": "python3 -m uvicorn src.main:model.app --app-dir ./serve --host 0.0.0.0 --port 8000 --ws websockets",
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"port": 8000,

train/config.json

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"train"
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],
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"description": "Dashboard to configure, start and monitor SparseInst training",
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"docker_image": "supervisely/sparseinst:1.0.3",
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"docker_image": "supervisely/sparseinst:1.0.4",
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"instance_version": "6.14.0",
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"entrypoint": "python3 -m uvicorn src.main:train.app --app-dir ./train --host 0.0.0.0 --port 8000 --ws websockets",
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"task_location": "workspace_tasks",

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