Run AI tools Interactors like f-BRS, HRNet, Inside-Outside-Guidance on local installed CVAT

medphisiker commented 1 year ago

My actions before raising this issue

[ ] I install CVAT on my Linux Ubuntu 20.04 server by this instruction link to docs. Then create a supervisor user and login. CVAT works perfectly.
[ ] I read docs about CVAT AI Tools AI tools. I was very interested in Interactors for Semi-automatic segmentation like DEXTR, f-BRS, HRNet, Inside-Outside-Guidance.
[ ] I follow guide in this page guide how install and run AI tools. I successfully launched DEXTR and it worked. For DEXTR running we have this commands:

nuctl deploy --project-name cvat \
  --path serverless/openvino/dextr/nuclio \
  --volume `pwd`/serverless/common:/opt/nuclio/common \
  --platform local

It is upload a special docker image with DEXTR, run it, and then CVAT can interact with it.

But how I can run other interesting CVAT interactions like f-BRS, HRNet, Inside-Outside-Guidance ?

Expected Behaviour

I think it will be great to have commands like for DEXTR for running other CVAT Interactors (f-BRS, HRNet, Inside-Outside-Guidance). Probably it will be convenient to have such commands on docs page about AI Tools AI tools. And probably place these commands under each of the interactor, detector or tracker.

Current Behaviour

We have very good docs about DEXTR Interactor running, but it is not so clear how to run the rest (f-BRS, HRNet, Inside-Outside-Guidance).

Possible Solution

It seems to me it would be convenient to specify them as suggested in the Expected Behavior clause.

Steps to Reproduce (for bugs)

This is not a bug, but a question =)

Context

Everything is fine, but I really want to try the other integrators. After using the MiVOS project link to git repo for markup, I was very pleased with such tools. By the way, it would be very cool to add such an interactor. However, its complexity lies in the fact that it is both an interactive segmentation and a tracker at once.

Your Environment

I have everything working according to the instructions. I just wanted to ask how to run the rest of the interactors like f-BRS, HRNet, Inside-Outside-Guidance.

zhiltsov-max commented 1 year ago

Hi, the model configs are placed in other directories in the serverless/ directory. To run another model, you need to run the same command with a modified --path directory. For instance, f-BRS and HRNet in the serverless/pytorch/saic-vul/.

medphisiker commented 1 year ago

Thank you for fast reply )

I tried to run the models interactors on CPU according to your recommendations. The base commands pattern was taken from DEXTR:

 nuctl deploy --project-name cvat \
  --path <interartor_path>\
  --volume `pwd`/serverless/common:/opt/nuclio/common \
  --platform local

where for dextr == serverless/openvino/dextr/nuclio # it works but give error it the terminal for f-BRS == serverless/pytorch/saic-vul/fbrs/nuclio # it works but give error it the terminal for Inside-Outside-Guidance == serverless/pytorch/shiyinzhang/iog/nuclio # it works but give error it the terminal for HRnet == serverless/pytorch/saic-vul/hrnet/nuclio # it doesn't work

Error in the terminal presented here:

(base) admin-gpu@server-gpu:~/cvat$  nuctl deploy --project-name cvat \
>   --path serverless/pytorch/shiyinzhang/iog/nuclio \
>   --volume `pwd`/serverless/common:/opt/nuclio/common \
>   --platform local
22.12.04 09:44:25.555                     nuctl (I) Deploying function {"name": ""}
22.12.04 09:44:25.555                     nuctl (I) Building {"builderKind": "docker", "versionInfo": "Label: 1.8.14, Git commit: cbb0774230996a3eb4621c1a2079e2317578005b, OS: linux, Arch: amd64, Go version: go1.17.8", "name": ""}
22.12.04 09:44:25.691                     nuctl (I) Staging files and preparing base images
22.12.04 09:44:25.692                     nuctl (I) Building processor image {"registryURL": "", "imageName": "cvat.pth.shiyinzhang.iog:latest"}
22.12.04 09:44:25.692     nuctl.platform.docker (I) Pulling image {"imageName": "quay.io/nuclio/handler-builder-python-onbuild:1.8.14-amd64"}
22.12.04 09:44:29.653     nuctl.platform.docker (I) Pulling image {"imageName": "quay.io/nuclio/uhttpc:0.0.1-amd64"}
22.12.04 09:44:36.825            nuctl.platform (I) Building docker image {"image": "cvat.pth.shiyinzhang.iog:latest"}
22.12.04 09:44:36.975            nuctl.platform (I) Pushing docker image into registry {"image": "cvat.pth.shiyinzhang.iog:latest", "registry": ""}
22.12.04 09:44:36.975            nuctl.platform (I) Docker image was successfully built and pushed into docker registry {"image": "cvat.pth.shiyinzhang.iog:latest"}
22.12.04 09:44:36.975                     nuctl (I) Build complete {"result": {"Image":"cvat.pth.shiyinzhang.iog:latest","UpdatedFunctionConfig":{"metadata":{"name":"pth.shiyinzhang.iog","namespace":"nuclio","labels":{"nuclio.io/project-name":"cvat"},"annotations":{"animated_gif":"https://raw.githubusercontent.com/opencv/cvat/0fbb19ae3846a017853d52e187f0ce149adced7d/site/content/en/images/iog_example.gif","framework":"pytorch","help_message":"The interactor allows to get a mask of an object using its wrapping boundig box, positive, and negative points inside it","min_neg_points":"0","min_pos_points":"1","name":"IOG","spec":"","startswith_box":"true","type":"interactor","version":"2"}},"spec":{"description":"Interactive Object Segmentation with Inside-Outside Guidance","handler":"main:handler","runtime":"python:3.9","env":[{"name":"PYTHONPATH","value":"/opt/nuclio/iog"}],"resources":{"requests":{"cpu":"25m","memory":"1Mi"}},"image":"cvat.pth.shiyinzhang.iog:latest","targetCPU":75,"triggers":{"myHttpTrigger":{"class":"","kind":"http","name":"myHttpTrigger","maxWorkers":2,"workerAvailabilityTimeoutMilliseconds":10000,"attributes":{"maxRequestBodySize":33554432}}},"volumes":[{"volume":{"name":"volume-1","hostPath":{"path":"/home/admin-gpu/cvat/serverless/common"}},"volumeMount":{"name":"volume-1","mountPath":"/opt/nuclio/common"}}],"build":{"image":"cvat.pth.shiyinzhang.iog","baseImage":"continuumio/miniconda3","directives":{"preCopy":[{"kind":"WORKDIR","value":"/opt/nuclio"},{"kind":"RUN","value":"conda create -y -n iog python=3.9"},{"kind":"SHELL","value":"[\"conda\", \"run\", \"-n\", \"iog\", \"/bin/bash\", \"-c\"]"},{"kind":"RUN","value":"conda install -y -c anaconda curl"},{"kind":"RUN","value":"conda install -y pytorch torchvision -c pytorch"},{"kind":"RUN","value":"apt update && apt install -y libgl1-mesa-glx"},{"kind":"RUN","value":"conda install -y -c conda-forge pycocotools scipy"},{"kind":"RUN","value":"pip install opencv-python"},{"kind":"RUN","value":"git clone https://github.com/shiyinzhang/Inside-Outside-Guidance.git iog"},{"kind":"WORKDIR","value":"/opt/nuclio/iog"},{"kind":"ENV","value":"fileid=1Lm1hhMhhjjnNwO4Pf7SC6tXLayH2iH0l"},{"kind":"ENV","value":"filename=IOG_PASCAL_SBD.pth"},{"kind":"RUN","value":"curl -L \"https://drive.google.com/uc?export=download&confirm=t&id=${fileid}\" -o ${filename}"},{"kind":"WORKDIR","value":"/opt/nuclio"},{"kind":"ENTRYPOINT","value":"[\"conda\", \"run\", \"-n\", \"iog\"]"}]},"codeEntryType":"image"},"platform":{"attributes":{"mountMode":"volume","restartPolicy":{"maximumRetryCount":3,"name":"always"}}},"readinessTimeoutSeconds":120,"securityContext":{},"eventTimeout":"30s"}}}}
22.12.04 09:44:36.979                     nuctl (I) Cleaning up before deployment {"functionName": "pth.shiyinzhang.iog"}
22.12.04 09:44:37.776            nuctl.platform (I) Waiting for function to be ready {"timeout": 120}
22.12.04 09:44:39.511                     nuctl (I) Function deploy complete {"functionName": "pth.shiyinzhang.iog", "httpPort": 49166, "internalInvocationURLs": ["172.17.0.4:8080"], "externalInvocationURLs": []}

Error - exit status 1
    /nuclio/pkg/cmdrunner/shellrunner.go:96

Call stack:
stdout:
cat: read error: Is a directory
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{"metadata":{"name":"tf-matterport-mask-rcnn","namespace":"nuclio","labels":{"nuclio.io/project-name":"cvat"},"annotations":{"framework":"tensorflow","name":"Mask RCNN via Tensorflow","spec":"[\n  { \"id\": 0, \"name\": \"BG\" },\n  { \"id\": 1, \"name\": \"person\" },\n  { \"id\": 2, \"name\": \"bicycle\" },\n  { \"id\": 3, \"name\": \"car\" },\n  { \"id\": 4, \"name\": \"motorcycle\" },\n  { \"id\": 5, \"name\": \"airplane\" },\n  { \"id\": 6, \"name\": \"bus\" },\n  { \"id\": 7, \"name\": \"train\" },\n  { \"id\": 8, \"name\": \"truck\" },\n  { \"id\": 9, \"name\": \"boat\" },\n  { \"id\": 10, \"name\": \"traffic_light\" },\n  { \"id\": 11, \"name\": \"fire_hydrant\" },\n  { \"id\": 12, \"name\": \"stop_sign\" },\n  { \"id\": 13, \"name\": \"parking_meter\" },\n  { \"id\": 14, \"name\": \"bench\" },\n  { \"id\": 15, \"name\": \"bird\" },\n  { \"id\": 16, \"name\": \"cat\" },\n  { \"id\": 17, \"name\": \"dog\" },\n  { \"id\": 18, \"name\": \"horse\" },\n  { \"id\": 19, \"name\": \"sheep\" },\n  { \"id\": 20, \"name\": \"cow\" },\n  { \"id\": 21, \"name\": \"elephant\" },\n  { \"id\": 22, \"name\": \"bear\" },\n  { \"id\": 23, \"name\": \"zebra\" },\n  { \"id\": 24, \"name\": \"giraffe\" },\n  { \"id\": 25, \"name\": \"backpack\" },\n  { \"id\": 26, \"name\": \"umbrella\" },\n  { \"id\": 27, \"name\": \"handbag\" },\n  { \"id\": 28, \"name\": \"tie\" },\n  { \"id\": 29, \"name\": \"suitcase\" },\n  { \"id\": 30, \"name\": \"frisbee\" },\n  { \"id\": 31, \"name\": \"skis\" },\n  { \"id\": 32, \"name\": \"snowboard\" },\n  { \"id\": 33, \"name\": \"sports_ball\" },\n  { \"id\": 34, \"name\": \"kite\" },\n  { \"id\": 35, \"name\": \"baseball_bat\" },\n  { \"id\": 36, \"name\": \"baseball_glove\" },\n  { \"id\": 37, \"name\": \"skateboard\" },\n  { \"id\": 38, \"name\": \"surfboard\" },\n  { \"id\": 39, \"name\": \"tennis_racket\" },\n  { \"id\": 40, \"name\": \"bottle\" },\n  { \"id\": 41, \"name\": \"wine_glass\" },\n  { \"id\": 42, \"name\": \"cup\" },\n  { \"id\": 43, \"name\": \"fork\" },\n  { \"id\": 44, \"name\": \"knife\" },\n  { \"id\": 45, \"name\": \"spoon\" },\n  { \"id\": 46, \"name\": \"bowl\" },\n  { \"id\": 47, \"name\": \"banana\" },\n  { \"id\": 48, \"name\": \"apple\" },\n  { \"id\": 49, \"name\": \"sandwich\" },\n  { \"id\": 50, \"name\": \"orange\" },\n  { \"id\": 51, \"name\": \"broccoli\" },\n  { \"id\": 52, \"name\": \"carrot\" },\n  { \"id\": 53, \"name\": \"hot_dog\" },\n  { \"id\": 54, \"name\": \"pizza\" },\n  { \"id\": 55, \"name\": \"donut\" },\n  { \"id\": 56, \"name\": \"cake\" },\n  { \"id\": 57, \"name\": \"chair\" },\n  { \"id\": 58, \"name\": \"couch\" },\n  { \"id\": 59, \"name\": \"potted_plant\" },\n  { \"id\": 60, \"name\": \"bed\" },\n  { \"id\": 61, \"name\": \"dining_table\" },\n  { \"id\": 62, \"name\": \"toilet\" },\n  { \"id\": 63, \"name\": \"tv\" },\n  { \"id\": 64, \"name\": \"laptop\" },\n  { \"id\": 65, \"name\": \"mouse\" },\n  { \"id\": 66, \"name\": \"remote\" },\n  { \"id\": 67, \"name\": \"keyboard\" },\n  { \"id\": 68, \"name\": \"cell_phone\" },\n  { \"id\": 69, \"name\": \"microwave\" },\n  { \"id\": 70, \"name\": \"oven\" },\n  { \"id\": 71, \"name\": \"toaster\" },\n  { \"id\": 72, \"name\": \"sink\" },\n  { \"id\": 73, \"name\": \"refrigerator\" },\n  { \"id\": 74, \"name\": \"book\" },\n  { \"id\": 75, \"name\": \"clock\" },\n  { \"id\": 76, \"name\": \"vase\" },\n  { \"id\": 77, \"name\": \"scissors\" },\n  { \"id\": 78, \"name\": \"teddy_bear\" },\n  { \"id\": 79, \"name\": \"hair_drier\" },\n  { \"id\": 80, \"name\": \"toothbrush\" }\n]\n","type":"detector"}},"spec":{"description":"GPU based implementation of Mask RCNN on Python 3, Keras, and TensorFlow.","handler":"main:handler","runtime":"python:3.6","env":[{"name":"MASK_RCNN_DIR","value":"/opt/nuclio/Mask_RCNN"}],"resources":{"limits":{"nvidia.com/gpu":"1"},"requests":{"cpu":"25m","memory":"1Mi"}},"targetCPU":75,"triggers":{"myHttpTrigger":{"class":"","kind":"http","name":"myHttpTrigger","maxWorkers":1,"workerAvailabilityTimeoutMilliseconds":10000,"attributes":{"maxRequestBodySize":33554432}}},"build":{"image":"cvat/tf.matterport.mask_rcnn_gpu","baseImage":"tensorflow/tensorflow:1.15.5-gpu-py3","directives":{"postCopy":[{"kind":"WORKDIR","value":"/opt/nuclio"},{"kind":"RUN","value":"apt update \u0026\u0026 apt install --no-install-recommends -y git curl"},{"kind":"RUN","value":"git clone --depth 1 https://github.com/matterport/Mask_RCNN.git"},{"kind":"RUN","value":"curl -L https://github.com/matterport/Mask_RCNN/releases/download/v2.0/mask_rcnn_coco.h5 -o Mask_RCNN/mask_rcnn_coco.h5"},{"kind":"RUN","value":"pip3 install numpy cython pyyaml keras==2.1.0 scikit-image 'imageio\u003c=2.9.0' Pillow"}]},"codeEntryType":"image"},"platform":{"attributes":{"mountMode":"volume","restartPolicy":{"maximumRetryCount":3,"name":"always"}}},"readinessTimeoutSeconds":120,"securityContext":{},"eventTimeout":"30s"},"status":{"state":"error","message":"\nError - exit status 100\n    /nuclio/pkg/cmdrunner/shellrunner.go:96\n\nCall stack:\nstdout:\nSending build context to Docker daemon  50.09MB\r\r\nStep 1/17 : FROM tensorflow/tensorflow:1.15.5-gpu-py3\n1.15.5-gpu-py3: Pulling from tensorflow/tensorflow\n171857c49d0f: Pulling fs layer\n419640447d26: Pulling fs layer\n61e52f862619: Pulling fs layer\nc118dad7e37a: Pulling fs layer\nf3015ef64b84: Pulling fs layer\n4c97ef225f71: Pulling fs layer\nc4f7106c562c: Pulling fs layer\n40c24aa172ac: Pulling fs layer\n7feea4369fcd: Pulling fs layer\n92bd92496a74: Pulling fs layer\n5b854cf8f3c2: Pulling fs layer\nb8d995817f82: Pulling fs layer\nf9d407754116: Pulling fs layer\nb37e61c4fea2: Pulling fs layer\ne86259164bd6: Pulling fs layer\n4c97ef225f71: Waiting\n40c24aa172ac: Waiting\nf3015ef64b84: Waiting\nc118dad7e37a: Waiting\n7feea4369fcd: Waiting\nc4f7106c562c: Waiting\n92bd92496a74: Waiting\nb37e61c4fea2: Waiting\ne86259164bd6: Waiting\nb8d995817f82: Waiting\nf9d407754116: Waiting\n61e52f862619: Verifying Checksum\n61e52f862619: Download complete\n419640447d26: Download complete\nc118dad7e37a: Verifying Checksum\nc118dad7e37a: Download complete\n171857c49d0f: Verifying Checksum\n171857c49d0f: Download complete\n171857c49d0f: Pull complete\n419640447d26: Pull complete\n61e52f862619: Pull complete\nc118dad7e37a: Pull complete\n4c97ef225f71: Download complete\nf3015ef64b84: Verifying Checksum\nf3015ef64b84: Download complete\nf3015ef64b84: Pull complete\n4c97ef225f71: Pull complete\n7feea4369fcd: Download complete\n40c24aa172ac: Verifying Checksum\n40c24aa172ac: Download complete\n5b854cf8f3c2: Verifying Checksum\n5b854cf8f3c2: Download complete\nb8d995817f82: Verifying Checksum\nb8d995817f82: Download complete\n92bd92496a74: Verifying Checksum\n92bd92496a74: Download complete\nb37e61c4fea2: Verifying Checksum\nb37e61c4fea2: Download complete\ne86259164bd6: Download complete\nc4f7106c562c: Verifying Checksum\nc4f7106c562c: Download complete\nc4f7106c562c: Pull complete\n40c24aa172ac: Pull complete\n7feea4369fcd: Pull complete\n92bd92496a74: Pull complete\n5b854cf8f3c2: Pull complete\nb8d995817f82: Pull complete\nf9d407754116: Download complete\nf9d407754116: Pull complete\nb37e61c4fea2: Pull complete\ne86259164bd6: Pull complete\nDigest: sha256:7ad742cbb2c77a40d0996ec08345dff54fe25f39428486e5f41c69db04b6d17b\nStatus: Downloaded newer image for tensorflow/tensorflow:1.15.5-gpu-py3\n ---\u003e 73be11373498\nStep 2/17 : ARG NUCLIO_LABEL\n ---\u003e Running in 45e231c0eed8\nRemoving intermediate container 45e231c0eed8\n ---\u003e be509df8bf2d\nStep 3/17 : ARG NUCLIO_ARCH\n ---\u003e Running in 93ae2066aeb6\nRemoving intermediate container 93ae2066aeb6\n ---\u003e 601af5c25578\nStep 4/17 : ARG NUCLIO_BUILD_LOCAL_HANDLER_DIR\n ---\u003e Running in 2897ce1eae8d\nRemoving intermediate container 2897ce1eae8d\n ---\u003e 385a18fef4dc\nStep 5/17 : COPY artifacts/processor /usr/local/bin/processor\n ---\u003e 135654e59d3a\nStep 6/17 : COPY artifacts/py /opt/nuclio/\n ---\u003e 2eab82ce35fb\nStep 7/17 : COPY artifacts/py-whl /opt/nuclio/whl\n ---\u003e 40969e07e219\nStep 8/17 : COPY artifacts/uhttpc /usr/local/bin/uhttpc\n ---\u003e 93675dbeadae\nStep 9/17 : COPY handler /opt/nuclio\n ---\u003e 80a63b82df34\nStep 10/17 : HEALTHCHECK --interval=1s --timeout=3s CMD /usr/local/bin/uhttpc --url http://127.0.0.1:8082/ready || exit 1\n ---\u003e Running in 4af4d37520d2\nRemoving intermediate container 4af4d37520d2\n ---\u003e 41250466a06e\nStep 11/17 : RUN pip install nuclio-sdk msgpack --no-index --find-links /opt/nuclio/whl\n ---\u003e Running in 5a88e70dad4a\nLooking in links: /opt/nuclio/whl\nProcessing /opt/nuclio/whl/msgpack-0.6.1.tar.gz\nProcessing /opt/nuclio/whl/nuclio_sdk-0.4.0-py2.py3-none-any.whl\nBuilding wheels for collected packages: msgpack\n  Building wheel for msgpack (setup.py): started\n  Building wheel for msgpack (setup.py): finished with status 'done'\n  Created wheel for msgpack: filename=msgpack-0.6.1-cp36-cp36m-linux_x86_64.whl size=229891 sha256=6621aa45b4ebe5b78dbdc6eba8cfa57e461b206a970316bfc2210e7c92855069\n  Stored in directory: /root/.cache/pip/wheels/19/df/c3/08424fe5285667aff8a58a69c995c723ffa81c4208138d6d0f\nSuccessfully built msgpack\nInstalling collected packages: nuclio-sdk, msgpack\nSuccessfully installed msgpack-0.6.1 nuclio-sdk-0.4.0\nRemoving intermediate container 5a88e70dad4a\n ---\u003e ea44648023d0\nStep 12/17 : WORKDIR /opt/nuclio\n ---\u003e Running in 467948e35229\nRemoving intermediate container 467948e35229\n ---\u003e 593d7e2e0c61\nStep 13/17 : RUN apt update \u0026\u0026 apt install --no-install-recommends -y git curl\n ---\u003e Running in 2bfa840cb32c\n\u001b[91m\nWARNING: apt does not have a stable CLI interface. Use with caution in scripts.\n\n\u001b[0mGet:1 http://security.ubuntu.com/ubuntu bionic-security InRelease [88.7 kB]\nHit:2 http://archive.ubuntu.com/ubuntu bionic InRelease\nGet:3 http://archive.ubuntu.com/ubuntu bionic-updates InRelease [88.7 kB]\nGet:4 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  InRelease [1581 B]\nGet:5 http://security.ubuntu.com/ubuntu bionic-security/multiverse amd64 Packages [22.9 kB]\nErr:4 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  InRelease\n  The following signatures couldn't be verified because the public key is not available: NO_PUBKEY A4B469963BF863CC\nGet:6 http://security.ubuntu.com/ubuntu bionic-security/universe amd64 Packages [1568 kB]\nIgn:7 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64  InRelease\nGet:8 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64  Release [564 B]\nGet:9 http://archive.ubuntu.com/ubuntu bionic-backports InRelease [83.3 kB]\nGet:10 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64  Release.gpg [833 B]\nGet:11 http://security.ubuntu.com/ubuntu bionic-security/main amd64 Packages [3094 kB]\nGet:12 https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64  Packages [73.8 kB]\nGet:13 http://security.ubuntu.com/ubuntu bionic-security/restricted amd64 Packages [1307 kB]\nGet:14 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 Packages [3519 kB]\nGet:15 http://archive.ubuntu.com/ubuntu bionic-updates/universe amd64 Packages [2342 kB]\nGet:16 http://archive.ubuntu.com/ubuntu bionic-updates/restricted amd64 Packages [1348 kB]\nGet:17 http://archive.ubuntu.com/ubuntu bionic-updates/multiverse amd64 Packages [30.0 kB]\nGet:18 http://archive.ubuntu.com/ubuntu bionic-backports/main amd64 Packages [64.0 kB]\nGet:19 http://archive.ubuntu.com/ubuntu bionic-backports/universe amd64 Packages [20.5 kB]\nReading package lists...\n\u001b[91mW: GPG error: https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  InRelease: The following signatures couldn't be verified because the public key is not available: NO_PUBKEY A4B469963BF863CC\nE: The repository 'https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64  InRelease' is no longer signed.\n\u001b[0mRemoving intermediate container 2bfa840cb32c\n\nstderr:\nThe command '/bin/bash -c apt update \u0026\u0026 apt install --no-install-recommends -y git curl' returned a non-zero code: 100\n\n    /nuclio/pkg/cmdrunner/shellrunner.go:96\nFailed to build\n    /nuclio/pkg/dockerclient/shell.go:117\nFailed to build docker image\n    .../pkg/containerimagebuilderpusher/docker.go:54\nFailed to build processor image\n    /nuclio/pkg/processor/build/builder.go:263\n"}}

stderr:

    /nuclio/pkg/cmdrunner/shellrunner.go:96
Failed to execute command: /bin/sh -c "/bin/cat /etc/nuclio/store/functions/nuclio/*"
    ...//nuclio/pkg/platform/local/client/store.go:413
Failed to run cat command
    ...//nuclio/pkg/platform/local/client/store.go:340
Failed to get functions
    ...//nuclio/pkg/platform/local/client/store.go:258
Failed to read functions from local store
    ...//nuclio/pkg/platform/local/client/store.go:222

The HRnet give that error in the terminal, it asks me to set the runtime. How to do it ?

22.12.04 09:45:41.159                     nuctl (I) Deploying function {"name": ""}
22.12.04 09:45:41.159                     nuctl (I) Building {"builderKind": "docker", "versionInfo": "Label: 1.8.14, Git commit: cbb0774230996a3eb4621c1a2079e2317578005b, OS: linux, Arch: amd64, Go version: go1.17.8", "name": ""}
22.12.04 09:45:41.159                     nuctl (W) Failed to create a function; setting the function status {"err": "Failed create runtime", "errVerbose": "\nError - Build path is directory - runtime must be specified\n    /nuclio/pkg/processor/build/builder.go:879\n\nCall stack:\nBuild path is directory - runtime must be specified\n    /nuclio/pkg/processor/build/builder.go:879\nFailed create runtime\n    /nuclio/pkg/processor/build/builder.go:228\nFailed create runtime"}

Error - Build path is directory - runtime must be specified
    /nuclio/pkg/processor/build/builder.go:879

Call stack:
Build path is directory - runtime must be specified
    /nuclio/pkg/processor/build/builder.go:879
Failed create runtime
    /nuclio/pkg/processor/build/builder.go:228
Failed to deploy function
    ...//nuclio/pkg/platform/abstract/platform.go:197

I also install nvidia-docker2 on my server. It it successfully passes verification from nvidia, it works.

I tried to run the models interactors on GPU according to your recommendations and documentation link. The base commands pattern was taken from DEXTR:

 nuctl deploy --project-name cvat \
  --path <interartor_path>\
  --volume `pwd`/serverless/common:/opt/nuclio/common \
  --platform local \
  --triggers '{"myHttpTrigger": {"maxWorkers": 1}}' \
  --resource-limit nvidia.com/gpu=1

where for dextr == serverless/openvino/dextr/nuclio # it works but give error it the terminal for f-BRS == serverless/pytorch/saic-vul/fbrs/nuclio # it works but give error it the terminal for Inside-Outside-Guidance == serverless/pytorch/shiyinzhang/iog/nuclio # it works but give error it the terminal for HRnet == serverless/pytorch/saic-vul/hrnet/nuclio # it doesn't work also.

I am interested in the question how to set the runtime that HRNet asks? I think that runtime is CPU or GPU. As I understood, if we have lines:

  --triggers '{"myHttpTrigger": {"maxWorkers": 1}}' \
  --resource-limit nvidia.com/gpu=1

we choose GPU runtime, in case of their absence, the CPU instead.

There is an example in docs with running RCNN detector on GPU runtime link.

nuctl deploy --project-name cvat \
  --path serverless/tensorflow/matterport/mask_rcnn/nuclio \
  --platform local --base-image tensorflow/tensorflow:1.15.5-gpu-py3 \
  --desc "GPU based implementation of Mask RCNN on Python 3, Keras, and TensorFlow." \
  --image cvat/tf.matterport.mask_rcnn_gpu \
  --triggers '{"myHttpTrigger": {"maxWorkers": 1}}' \
  --resource-limit nvidia.com/gpu=1

In this example we also set image param "cvat/tf.matterport.mask_rcnn_gpu". I also go to path "serverless/tensorflow/matterport/mask_rcnn/nuclio" and I see that there are two config fails:

-serverless/tensorflow/faster_rcnn_inception_v2_coco |----function-gpu.yaml # contains baseImage: tensorflow/tensorflow:2.1.1-gpu |----function.yaml # baseImage: tensorflow/tensorflow:2.1.1

Does the presence of these files determine whether the model can be run on the CPU or GPU? For example, in serverless/openvino/dextr/nuclio we have only "function.yaml" in serverless/pytorch/saic-vul/fbrs/nuclio we have only "function.yaml" in serverless/pytorch/shiyinzhang/iog/nuclio we have only "function.yaml" but in serverless/pytorch/saic-vul/hrnet/nuclio we have only "function-gpu.yaml"

How does it all work?

medphisiker commented 1 year ago

I also looked at table "Deep learning serverless functions for automatic labeling" on github link. According to this table, it turns out that dextr, f-BRS, Inside-Outside-Guidance runs only on CPU, and HRNet runs only on GPU ?

But the documentation page recommended to run interactor models on GPU, if possible for f-BRS, HRNet, Inside-Outside-Guidance link.

zhiltsov-max commented 1 year ago

@azhavoro , could you please check?

medphisiker commented 1 year ago

This is strange. I stopped CVAT with a command from docs (link) docker-compose -f docker-compose.yml -f components/serverless/docker-compose.serverless.yml down

And then I manually stopped these docker containers:

cvat/openvine.dextr:latest
gcr.io/iguazio/alpine:3.15

Then I set CVAT_HOST environment variable by command: export CVAT_HOST=my_ip_address

Then I rerun CVAT by command: docker-compose -f docker-compose.yml -f components/serverless/docker-compose.serverless.yml up -d

Then I create cvat project inside nuclio dashboard via command: nuctl create project cvat

And it was created: 22.12.13 02:33:22.307 nuctl (I) Project created {"Name": "cvat", "Namespace": "nuclio"}

And then I run dextr by command:

nuctl deploy --project-name cvat \
  --path serverless/openvino/dextr/nuclio \
  --volume `pwd`/serverless/common:/opt/nuclio/common \
  --platform local

There are all docker's containers in my system:

I have the same error in my terminal as in my message above (link).

But for now CVAT writes message:

Could not get models from the server
Error: Request failed with status code 500. "500 Server Error: Internal Server Error for url: http://nuclio:8070/api/functions".

And DL models are not available...

medphisiker commented 1 year ago

Hello,

I stop all containers, then remove all dockers images, volumes and other data. Then I reinstall cvat and reinstall and rerun DEXTR and f-BRS. After reinstall these DL model works perfectly on CPU. The error in my terminal indicated in my message above (link) disappears.

But I don't know the right command to run HRnet on the GPU. So I don't know if it works for me.

medphisiker commented 1 year ago

Hello,

I also read docs the "Serverless tutorial" link. There was another way to launch DL models by commands: serverless/deploy_cpu.sh <path_to_model> and serverless/deploy_gpu.sh <path_to_model>

where for dextr == serverless/openvino/dextr/nuclio for f-BRS == serverless/pytorch/saic-vul/fbrs/nuclio for Inside-Outside-Guidance == serverless/pytorch/shiyinzhang/iog/nuclio for HRnet == serverless/pytorch/saic-vul/hrnet/nuclio

I run dextr, f-BRS and Inside-Outside-Guidance by serverless/deploy_cpu.sh and they works well ) Then I try run dextr, f-BRS and Inside-Outside-Guidance by serverless/deploy_gpu.shand I got this error in terminal:

22.12.13 15:39:32.319                     nuctl (I) Project created {"Name": "cvat", "Namespace": "nuclio"}
Deploying serverless/pytorch/saic-vul/fbrs/nuclio function...

Error - stat serverless/pytorch/saic-vul/fbrs/nuclio/**/function-gpu.yaml: no such file or directory
    ...//nuclio/pkg/nuctl/command/common/helpers.go:36

Call stack:
File path `serverless/pytorch/saic-vul/fbrs/nuclio/**/function-gpu.yaml` does not exists
    ...//nuclio/pkg/nuctl/command/common/helpers.go:36
Failed opening function config file
    /nuclio/pkg/nuctl/command/deploy.go:122

When launched in this way, it turns out that they really should have a "function-gpu.yaml" file so that they can be launched on the GPU. But dextr, f-BRS and Inside-Outside-Guidance don't have them. They have only "function.yaml" for CPU runtime. But docs recommends to run f-BRS on GPU like HRnet link. It looks like we just need to fix this docs page for f-BRS for CPU only. HRnet and f-BRS used in a similar way and have an almost identical description. Perhaps the ability to run on the GPU in the description of f-BRS remained from HRnet.

And vice versa, HRnet has only the "function-gpu.yaml" file and apparently can only work on the GPU.

medphisiker commented 1 year ago

I also try to run HRnet interactor by command for launching it on GPU: serverless/deploy_gpu.sh serverless/pytorch/saic-vul/hrnet/nuclio

But I have these errors when it is building docker image:

2022-12-13 15:18:44 (4.17 MB/s) - 'coco_lvis_h18_itermask.pth' saved [40700707/40700707]

Removing intermediate container e0884f5c5089
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Step 15/28 : RUN pip3 install setuptools
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Requirement already satisfied: setuptools in /usr/lib/python3/dist-packages (45.2.0)
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
Removing intermediate container b04488af87b1
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Step 16/28 : RUN pip3 install -r requirements.txt
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Collecting google-auth-oauthlib<0.5,>=0.4.1
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Collecting rsa<5,>=3.1.4
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Building wheels for collected packages: easydict, future
  Building wheel for easydict (setup.py): started
  Building wheel for easydict (setup.py): finished with status 'done'
  Created wheel for easydict: filename=easydict-1.10-py3-none-any.whl size=6496 sha256=b76f70c5b91bd8202a262f1148fbff614c47ac4a50373eaa2f1838ba58630858
  Stored in directory: /root/.cache/pip/wheels/7b/d2/a1/c4e0795ef16ab3276fb4ef17d3df108a15654c70157cd69ed3
  Building wheel for future (setup.py): started
  Building wheel for future (setup.py): finished with status 'done'
  Created wheel for future: filename=future-0.18.2-py3-none-any.whl size=491058 sha256=cd3767555447ec4e046e6c9c0c185aa7be5d9d2be56c37a735d01bc39905987f
  Stored in directory: /root/.cache/pip/wheels/01/49/0c/4e0a697824c7bd6516afb22e1af9d51427ccd36c74b05a297e
Successfully built easydict future
Installing collected packages: tensorboard-plugin-wit, pyasn1, ninja, easydict, zipp, typing-extensions, tqdm, threadpoolctl, tensorboard-data-server, rsa, pyyaml, python-dateutil, pyparsing, pycparser, pyasn1-modules, protobuf, Pillow, packaging, oauthlib, nvidia-cuda-runtime-cu11, nvidia-cuda-nvrtc-cu11, nvidia-cublas-cu11, numpy, networkx, MarkupSafe, kiwisolver, joblib, grpcio, graphviz, future, fonttools, Cython, cycler, cachetools, absl-py, werkzeug, tifffile, Shapely, scipy, requests-oauthlib, PyWavelets, opencv-python-headless, opencv-python, nvidia-cudnn-cu11, importlib-metadata, imageio, google-auth, contourpy, cffi, torch, scikit-learn, scikit-image, matplotlib, markdown, google-auth-oauthlib, torchvision, tensorboard, qudida, imgaug, albumentations
Successfully installed Cython-0.29.32 MarkupSafe-2.1.1 Pillow-9.3.0 PyWavelets-1.4.1 Shapely-2.0.0 absl-py-1.3.0 albumentations-1.3.0 cachetools-5.2.0 cffi-1.15.1 contourpy-1.0.6 cycler-0.11.0 easydict-1.10 fonttools-4.38.0 future-0.18.2 google-auth-2.15.0 google-auth-oauthlib-0.4.6 graphviz-0.20.1 grpcio-1.51.1 imageio-2.22.4 imgaug-0.4.0 importlib-metadata-5.1.0 joblib-1.2.0 kiwisolver-1.4.4 markdown-3.4.1 matplotlib-3.6.2 networkx-2.8.8 ninja-1.11.1 numpy-1.23.5 nvidia-cublas-cu11-11.10.3.66 nvidia-cuda-nvrtc-cu11-11.7.99 nvidia-cuda-runtime-cu11-11.7.99 nvidia-cudnn-cu11-8.5.0.96 oauthlib-3.2.2 opencv-python-4.6.0.66 opencv-python-headless-4.6.0.66 packaging-22.0 protobuf-3.20.3 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pyparsing-3.0.9 python-dateutil-2.8.2 pyyaml-6.0 qudida-0.0.4 requests-oauthlib-1.3.1 rsa-4.9 scikit-image-0.19.3 scikit-learn-1.2.0 scipy-1.9.3 tensorboard-2.11.0 tensorboard-data-server-0.6.1 tensorboard-plugin-wit-1.8.1 threadpoolctl-3.1.0 tifffile-2022.10.10 torch-1.13.0 torchvision-0.14.0 tqdm-4.64.1 typing-extensions-4.4.0 werkzeug-2.2.2 zipp-3.11.0
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
Removing intermediate container 1630c2f1f24d
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Step 17/28 : RUN apt update && apt install -y libgl1-mesa-glx
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WARNING: apt does not have a stable CLI interface. Use with caution in scripts.

Hit:1 http://ppa.launchpad.net/deadsnakes/ppa/ubuntu focal InRelease
Hit:2 http://archive.ubuntu.com/ubuntu focal InRelease
Hit:3 http://security.ubuntu.com/ubuntu focal-security InRelease
Hit:4 http://archive.ubuntu.com/ubuntu focal-updates InRelease
Hit:5 http://archive.ubuntu.com/ubuntu focal-backports InRelease
Reading package lists...
Building dependency tree...
Reading state information...
All packages are up to date.

WARNING: apt does not have a stable CLI interface. Use with caution in scripts.

Reading package lists...
Building dependency tree...
Reading state information...
The following additional packages will be installed:
  libdrm-amdgpu1 libdrm-common libdrm-intel1 libdrm-nouveau2 libdrm-radeon1
  libdrm2 libedit2 libgl1 libgl1-mesa-dri libglapi-mesa libglvnd0 libglx-mesa0
  libglx0 libllvm12 libpciaccess0 libsensors-config libsensors5 libvulkan1
  libwayland-client0 libx11-xcb1 libxcb-dri2-0 libxcb-dri3-0 libxcb-glx0
  libxcb-present0 libxcb-randr0 libxcb-shm0 libxcb-sync1 libxcb-xfixes0
  libxfixes3 libxshmfence1 libxxf86vm1 mesa-vulkan-drivers
Suggested packages:
  pciutils lm-sensors
The following NEW packages will be installed:
  libdrm-amdgpu1 libdrm-common libdrm-intel1 libdrm-nouveau2 libdrm-radeon1
  libdrm2 libedit2 libgl1 libgl1-mesa-dri libgl1-mesa-glx libglapi-mesa
  libglvnd0 libglx-mesa0 libglx0 libllvm12 libpciaccess0 libsensors-config
  libsensors5 libvulkan1 libwayland-client0 libx11-xcb1 libxcb-dri2-0
  libxcb-dri3-0 libxcb-glx0 libxcb-present0 libxcb-randr0 libxcb-shm0
  libxcb-sync1 libxcb-xfixes0 libxfixes3 libxshmfence1 libxxf86vm1
  mesa-vulkan-drivers
0 upgraded, 33 newly installed, 0 to remove and 0 not upgraded.
Need to get 36.4 MB of archives.
After this operation, 525 MB of additional disk space will be used.
Get:1 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libdrm-common all 2.4.107-8ubuntu1~20.04.2 [5396 B]
Get:2 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libdrm2 amd64 2.4.107-8ubuntu1~20.04.2 [34.1 kB]
Get:3 http://archive.ubuntu.com/ubuntu focal/main amd64 libedit2 amd64 3.1-20191231-1 [87.0 kB]
Get:4 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libdrm-amdgpu1 amd64 2.4.107-8ubuntu1~20.04.2 [18.6 kB]
Get:5 http://archive.ubuntu.com/ubuntu focal/main amd64 libpciaccess0 amd64 0.16-0ubuntu1 [17.9 kB]
Get:6 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libdrm-intel1 amd64 2.4.107-8ubuntu1~20.04.2 [60.3 kB]
Get:7 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libdrm-nouveau2 amd64 2.4.107-8ubuntu1~20.04.2 [16.6 kB]
Get:8 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libdrm-radeon1 amd64 2.4.107-8ubuntu1~20.04.2 [19.7 kB]
Get:9 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libglapi-mesa amd64 21.2.6-0ubuntu0.1~20.04.2 [27.4 kB]
Get:10 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libllvm12 amd64 1:12.0.0-3ubuntu1~20.04.5 [18.8 MB]
Get:11 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libsensors-config all 1:3.6.0-2ubuntu1.1 [6052 B]
Get:12 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libsensors5 amd64 1:3.6.0-2ubuntu1.1 [27.2 kB]
Get:13 http://archive.ubuntu.com/ubuntu focal/main amd64 libvulkan1 amd64 1.2.131.2-1 [93.3 kB]
Get:14 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libgl1-mesa-dri amd64 21.2.6-0ubuntu0.1~20.04.2 [11.0 MB]
Get:15 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libglvnd0 amd64 1.3.2-1~ubuntu0.20.04.2 [48.1 kB]
Get:16 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libx11-xcb1 amd64 2:1.6.9-2ubuntu1.2 [9372 B]
Get:17 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb-dri2-0 amd64 1.14-2 [6920 B]
Get:18 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb-dri3-0 amd64 1.14-2 [6552 B]
Get:19 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb-glx0 amd64 1.14-2 [22.1 kB]
Get:20 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb-present0 amd64 1.14-2 [5560 B]
Get:21 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb-shm0 amd64 1.14-2 [5584 B]
Get:22 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb-sync1 amd64 1.14-2 [8884 B]
Get:23 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb-xfixes0 amd64 1.14-2 [9296 B]
Get:24 http://archive.ubuntu.com/ubuntu focal/main amd64 libxfixes3 amd64 1:5.0.3-2 [10.9 kB]
Get:25 http://archive.ubuntu.com/ubuntu focal/main amd64 libxshmfence1 amd64 1.3-1 [5028 B]
Get:26 http://archive.ubuntu.com/ubuntu focal/main amd64 libxxf86vm1 amd64 1:1.1.4-1build1 [10.2 kB]
Get:27 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libglx-mesa0 amd64 21.2.6-0ubuntu0.1~20.04.2 [137 kB]
Get:28 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libglx0 amd64 1.3.2-1~ubuntu0.20.04.2 [32.5 kB]
Get:29 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libgl1 amd64 1.3.2-1~ubuntu0.20.04.2 [85.8 kB]
Get:30 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libgl1-mesa-glx amd64 21.2.6-0ubuntu0.1~20.04.2 [5536 B]
Get:31 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 libwayland-client0 amd64 1.18.0-1ubuntu0.1 [23.9 kB]
Get:32 http://archive.ubuntu.com/ubuntu focal/main amd64 libxcb-randr0 amd64 1.14-2 [16.3 kB]
Get:33 http://archive.ubuntu.com/ubuntu focal-updates/main amd64 mesa-vulkan-drivers amd64 21.2.6-0ubuntu0.1~20.04.2 [5788 kB]
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Setting up libxcb-dri3-0:amd64 (1.14-2) ...
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Setting up libglapi-mesa:amd64 (21.2.6-0ubuntu0.1~20.04.2) ...
Setting up libvulkan1:amd64 (1.2.131.2-1) ...
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Setting up libdrm-common (2.4.107-8ubuntu1~20.04.2) ...
Setting up libwayland-client0:amd64 (1.18.0-1ubuntu0.1) ...
Setting up libdrm2:amd64 (2.4.107-8ubuntu1~20.04.2) ...
Setting up libdrm-amdgpu1:amd64 (2.4.107-8ubuntu1~20.04.2) ...
Setting up mesa-vulkan-drivers:amd64 (21.2.6-0ubuntu0.1~20.04.2) ...
Setting up libdrm-nouveau2:amd64 (2.4.107-8ubuntu1~20.04.2) ...
Setting up libdrm-radeon1:amd64 (2.4.107-8ubuntu1~20.04.2) ...
Setting up libdrm-intel1:amd64 (2.4.107-8ubuntu1~20.04.2) ...
Setting up libgl1-mesa-dri:amd64 (21.2.6-0ubuntu0.1~20.04.2) ...
Setting up libglx-mesa0:amd64 (21.2.6-0ubuntu0.1~20.04.2) ...
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Setting up libgl1-mesa-glx:amd64 (21.2.6-0ubuntu0.1~20.04.2) ...
Processing triggers for libc-bin (2.31-0ubuntu9.9) ...
Removing intermediate container 7f852e4233de
 ---> bb26b7cc9564
Step 18/28 : RUN pip3 uninstall torch torch vision -y
 ---> Running in 28bf2387c1fa
Found existing installation: torch 1.13.0
Uninstalling torch-1.13.0:
  Successfully uninstalled torch-1.13.0
WARNING: Skipping vision as it is not installed.
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
Removing intermediate container 28bf2387c1fa
 ---> 8edb3147f633
Step 19/28 : RUN pip install torch==1.8.1+cu111 torchvision==0.9.1+cu111 torchaudio==0.8.1 -f https://download.pytorch.org/whl/torch_stable.html
 ---> Running in cc85eeb70a54
Looking in links: https://download.pytorch.org/whl/torch_stable.html
Collecting torch==1.8.1+cu111
  Downloading https://download.pytorch.org/whl/cu111/torch-1.8.1%2Bcu111-cp38-cp38-linux_x86_64.whl (1982.2 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.0/2.0 GB 2.3 MB/s eta 0:00:00
Collecting torchvision==0.9.1+cu111
  Downloading https://download.pytorch.org/whl/cu111/torchvision-0.9.1%2Bcu111-cp38-cp38-linux_x86_64.whl (17.6 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 17.6/17.6 MB 5.2 MB/s eta 0:00:00
Collecting torchaudio==0.8.1
  Downloading torchaudio-0.8.1-cp38-cp38-manylinux1_x86_64.whl (1.9 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1.9/1.9 MB 2.4 MB/s eta 0:00:00
Requirement already satisfied: numpy in /usr/local/lib/python3.8/dist-packages (from torch==1.8.1+cu111) (1.23.5)
Requirement already satisfied: typing-extensions in /usr/local/lib/python3.8/dist-packages (from torch==1.8.1+cu111) (4.4.0)
Requirement already satisfied: pillow>=4.1.1 in /usr/local/lib/python3.8/dist-packages (from torchvision==0.9.1+cu111) (9.3.0)
Installing collected packages: torch, torchvision, torchaudio
  Attempting uninstall: torchvision
    Found existing installation: torchvision 0.14.0
    Uninstalling torchvision-0.14.0:
      Successfully uninstalled torchvision-0.14.0
Successfully installed torch-1.8.1+cu111 torchaudio-0.8.1 torchvision-0.9.1+cu111
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
Removing intermediate container cc85eeb70a54
 ---> 7bb87a7f0e20
Step 20/28 : WORKDIR /opt/nuclio
 ---> Running in 42ee9c3cdead
Removing intermediate container 42ee9c3cdead
 ---> b7b6990c8529
Step 21/28 : COPY artifacts/processor /usr/local/bin/processor
 ---> d0cfb039f86f
Step 22/28 : COPY artifacts/py /opt/nuclio/
 ---> ffdb0b56a264
Step 23/28 : COPY artifacts/py3.8-whl /opt/nuclio/whl
 ---> 0d60dc4905f8
Step 24/28 : COPY artifacts/uhttpc /usr/local/bin/uhttpc
 ---> 68f5f00f562e
Step 25/28 : COPY handler /opt/nuclio
 ---> 29cd2875071b
Step 26/28 : HEALTHCHECK --interval=1s --timeout=3s CMD /usr/local/bin/uhttpc --url http://127.0.0.1:8082/ready || exit 1
 ---> Running in 78d523402ad5
Removing intermediate container 78d523402ad5
 ---> c9c4afb999cb
Step 27/28 : RUN python /opt/nuclio/whl/$(basename /opt/nuclio/whl/pip-*.whl)/pip install pip --no-index --find-links /opt/nuclio/whl && python -m pip install nuclio-sdk msgpack --no-index --find-links /opt/nuclio/whl
 ---> Running in dca7d796faf4
/bin/sh: 1: python: not found
Removing intermediate container dca7d796faf4

stderr:
The command '/bin/sh -c python /opt/nuclio/whl/$(basename /opt/nuclio/whl/pip-*.whl)/pip install pip --no-index --find-links /opt/nuclio/whl && python -m pip install nuclio-sdk msgpack --no-index --find-links /opt/nuclio/whl' returned a non-zero code: 127

    /nuclio/pkg/cmdrunner/shellrunner.go:96
Failed to build
    /nuclio/pkg/dockerclient/shell.go:117
Failed to build docker image
    .../pkg/containerimagebuilderpusher/docker.go:54
Failed to build processor image
    /nuclio/pkg/processor/build/builder.go:263
Failed to deploy function
    ...//nuclio/pkg/platform/abstract/platform.go:197
  NAMESPACE |        NAME        | PROJECT |  STATE   | REPLICAS | NODE PORT  
  nuclio    | openvino-dextr     | cvat    | ready    | 1/1      |     49154  
  nuclio    | pth-saic-vul-fbrs  | cvat    | ready    | 1/1      |     49157  
  nuclio    | pth-saic-vul-hrnet | cvat    | building | 1/1      |

It looks like python is missing(/bin/sh: 1: python: not found ) in the building docker image...

cvat-ai / cvat