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Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
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AI TOOL : Detection error occured #2820

Closed miseonkang closed 3 years ago

miseonkang commented 3 years ago

I am currently testing the work on the CVAT site(cvat.org), and I tried to find cars and people using the automatic detector function using Yolov3 of AI TOOL. However, the following message appears.

Is there no workaround?

_Error: Request failed with status code 500. "500 Server Error: Internal Server Error for url: http://nuclio:8070/api/function_invocations".**_**

bsekachev commented 3 years ago

Hi,

Try to re-deploy the model. Probably related #2280

miseonkang commented 3 years ago

Hi,

Try to re-deploy the model. Probably related #2280

my problem is not related #2280. i am testing the work on the CVAT site(cvat.org). not localhost:8080 site. I haven't installed cvat on my machine. Only logging into the site and testing.

nmanovic commented 3 years ago

@miseonkang ,

We have fixed the issue on CVAT.org. Could you please specify a task where it doesn't work? I will double check.

miseonkang commented 3 years ago

@miseonkang ,

We have fixed the issue on CVAT.org. Could you please specify a task where it doesn't work? I will double check.

When I run it on the site now, the auto anotation function is running. Thanks for fixing it.

May I ask you one more question,

I am installing cvat on local. While installing the semi-automation function, the nuctl-linux-1.5.16 version file in git bash is not installed due to the following problems.

chmod +x nuctl-linux-1.5.16

Command does not apply. How can this be solved?

./nuctl-1.5.16-linux-amd64

File properties are not changed to executable files. The windows version file is executed, but the semi-automation function cannot be installed because this file cannot be executed.

And, among the semi-automation functions in cvat, there is a video that automatically performs segmentation by spotting it. Is this using ai tool or which tool is used?

bsekachev commented 3 years ago

@miseonkang

chmod +x nuctl-linux-1.5.16 ./nuctl-1.5.16-linux-amd64

I see you try to add executable flag and run different files

miseonkang commented 3 years ago

@miseonkang

chmod +x nuctl-linux-1.5.16 ./nuctl-1.5.16-linux-amd64

I see you try to add executable flag and run different files

Is there any different file?? I downloaded it from the site here(https://github.com/nuclio/nuclio/releases/tag/1.5.16) Are there any other download sites?

my OS : Windows 10, docker, git-bash window...

bsekachev commented 3 years ago

@miseonkang

You apply chmod +x to file "nuctl-linux-1.5.16". Then you try to run "nuctl-1.5.16-linux-amd64". They have different names, don't they?

miseonkang commented 3 years ago

@miseonkang

You apply chmod +x to file "nuctl-linux-1.5.16". Then you try to run "nuctl-1.5.16-linux-amd64". They have different names, don't they?

i tried to chmod +x nuctl-linux-1.5.16.. that doesn't work.

chmod: cannot access 'nuctl-linux-1.5.16': No such file or directory

miseonkang commented 3 years ago

@miseonkang

You apply chmod +x to file "nuctl-linux-1.5.16". Then you try to run "nuctl-1.5.16-linux-amd64". They have different names, don't they?

so i install ubuntu 16.04 cvat.. success install nuctl..

but i have error message like this (when install => nuctl deploy --project-name cvat \ --path serverless/openvino/dextr/nuclio \ --volume pwd/serverless/openvino/common:/opt/nuclio/common \ --platform local)

21.02.23 07:54:17.485 cessor.healthcheck.server (I) Listening {"listenAddress": ":8082"} 21.02.23 07:54:17.485 processor.http (D) Creating worker pool {"num": 2} 21.02.23 07:54:17.485 sor.http.w1.python.logger (D) Creating listener socket {"path": "/tmp/nuclio-rpc-c0qb9aflufhca7t2blug.sock"} 21.02.23 07:54:17.485 sor.http.w0.python.logger (D) Creating listener socket {"path": "/tmp/nuclio-rpc-c0qb9aflufhca7t2blv0.sock"} 21.02.23 07:54:17.485 sor.http.w1.python.logger (D) Using Python wrapper script path {"path": "/opt/nuclio/_nuclio_wrapper.py"} 21.02.23 07:54:17.485 sor.http.w1.python.logger (D) Using Python handler {"handler": "main:handler"} 21.02.23 07:54:17.486 sor.http.w1.python.logger (E) Can't find Python exe {"error": "exec: \"/opt/nuclio/common/openvino/python3\": stat /opt/nuclio/common/openvino/python3: no such file or directory"} 21.02.23 07:54:17.486 sor.http.w0.python.logger (D) Using Python wrapper script path {"path": "/opt/nuclio/_nuclio_wrapper.py"} 21.02.23 07:54:17.486 sor.http.w0.python.logger (D) Using Python handler {"handler": "main:handler"} 21.02.23 07:54:17.486 sor.http.w0.python.logger (E) Can't find Python exe {"error": "exec: \"/opt/nuclio/common/openvino/python3\": stat /opt/nuclio/common/openvino/python3: no such file or directory"}

Error - exec: "/opt/nuclio/common/openvino/python3": stat /opt/nuclio/common/openvino/python3: no such file or directory ...//nuclio/pkg/processor/runtime/rpc/abstract.go:231

how can i solve???

AlexandrMoruk commented 3 years ago

I have version 1.5.16 but still the problem

Error - exec: "/opt/nuclio/common/openvino/python3": stat /opt/nuclio/common/openvino/python3: no such file or directory
    ...//nuclio/pkg/processor/runtime/rpc/abstract.go:231

Maybe I didn't write the correct path? Version:

 nuctl version                     
Client version:
"Label: 1.5.16, Git commit: ae43a6a560c2bec42d7ccfdf6e8e11a1e3cc3774, OS: linux, Arch: amd64, Go version: go1.14.3"%
miseonkang commented 3 years ago

I have version 1.5.16 but still the problem

Error - exec: "/opt/nuclio/common/openvino/python3": stat /opt/nuclio/common/openvino/python3: no such file or directory
    ...//nuclio/pkg/processor/runtime/rpc/abstract.go:231

Maybe I didn't write the correct path? Version:

 nuctl version                     
Client version:
"Label: 1.5.16, Git commit: ae43a6a560c2bec42d7ccfdf6e8e11a1e3cc3774, OS: linux, Arch: amd64, Go version: go1.14.3"%

So, what version can be installed to use the Semi-automatic and Automatic Annotation tool?

Can I install a lower version?

nmanovic commented 3 years ago

@miseonkang ,

nmanovic@nmanovic-dl-node:~/Workspace/synergy-core/build/bin$ nuctl version

Client version:

"Label: 1.5.16, Git commit: ae43a6a560c2bec42d7ccfdf6e8e11a1e3cc3774, OS: linux, Arch: amd64, Go version: go1.14.3"
nmanovic@nmanovic-dl-node:~/Workspace/cvat/serverless$ ./deploy_cpu.sh openvino/dextr/

Deploying openvino/dextr function...

21.02.24 14:55:42.932                     nuctl (I) Deploying function {"name": ""}

21.02.24 14:55:42.932                     nuctl (I) Building {"versionInfo": "Label: 1.5.16, Git commit: ae43a6a560c2bec42d7ccfdf6e8e11a1e3cc3774, OS: linux, Arch: amd64, Go version: go1.14.3", "name": ""}

21.02.24 14:55:43.319                     nuctl (I) Cleaning up before deployment {"functionName": "openvino-dextr"}

21.02.24 14:55:43.361                     nuctl (I) Staging files and preparing base images

21.02.24 14:55:43.362                     nuctl (I) Building processor image {"imageName": "cvat/openvino.dextr:latest"}

21.02.24 14:55:43.363     nuctl.platform.docker (I) Pulling image {"imageName": "quay.io/nuclio/handler-builder-python-onbuild:1.5.16-amd64"}

21.02.24 14:55:48.303     nuctl.platform.docker (I) Pulling image {"imageName": "quay.io/nuclio/uhttpc:0.0.1-amd64"}

21.02.24 14:55:51.749            nuctl.platform (I) Building docker image {"image": "cvat/openvino.dextr:latest"}

....
AlexandrMoruk commented 3 years ago 
base) ➜  cvat git:(develop) ✗ nuctl version                     
Client version:
"Label: 1.5.16, Git commit: ae43a6a560c2bec42d7ccfdf6e8e11a1e3cc3774, OS: linux, Arch: amd64, Go version: go1.14.3"%  
nuctl deploy --project-name cvat \
  --path serverless/openvino/omz/public/yolo-v3-tf/nuclio \
  --volume `pwd`/serverless/openvino/common:/opt/nuclio/common \
  --platform local
21.02.24 14:08:06.407                     nuctl (I) Deploying function {"name": ""}
21.02.24 14:08:06.407                     nuctl (I) Building {"versionInfo": "Label: 1.5.16, Git commit: ae43a6a560c2bec42d7ccfdf6e8e11a1e3cc3774, OS: linux, Arch: amd64, Go version: go1.14.3", "name": ""}
21.02.24 14:08:06.589                     nuctl (I) Cleaning up before deployment {"functionName": "openvino-omz-public-yolo-v3-tf"}
21.02.24 14:08:06.613                     nuctl (I) Staging files and preparing base images
21.02.24 14:08:06.613                     nuctl (I) Building processor image {"imageName": "cvat/openvino.omz.public.yolo-v3-tf:latest"}
21.02.24 14:08:06.613     nuctl.platform.docker (I) Pulling image {"imageName": "quay.io/nuclio/handler-builder-python-onbuild:1.5.16-amd64"}
21.02.24 14:08:09.311     nuctl.platform.docker (I) Pulling image {"imageName": "quay.io/nuclio/uhttpc:0.0.1-amd64"}
21.02.24 14:08:13.519            nuctl.platform (I) Building docker image {"image": "cvat/openvino.omz.public.yolo-v3-tf:latest"}
21.02.24 14:11:25.863            nuctl.platform (I) Pushing docker image into registry {"image": "cvat/openvino.omz.public.yolo-v3-tf:latest", "registry": ""}
21.02.24 14:11:25.863            nuctl.platform (I) Docker image was successfully built and pushed into docker registry {"image": "cvat/openvino.omz.public.yolo-v3-tf:latest"}
21.02.24 14:11:25.863                     nuctl (I) Build complete {"result": {"Image":"cvat/openvino.omz.public.yolo-v3-tf:latest","UpdatedFunctionConfig":{"metadata":{"name":"openvino-omz-public-yolo-v3-tf","namespace":"nuclio","labels":{"nuclio.io/project-name":"cvat"},"annotations":{"framework":"openvino","name":"YOLO v3","spec":"[\n  { \"id\": 0, \"name\": \"person\" },\n  { \"id\": 1, \"name\": \"bicycle\" },\n  { \"id\": 2, \"name\": \"car\" },\n  { \"id\": 3, \"name\": \"motorbike\" },\n  { \"id\": 4, \"name\": \"aeroplane\" },\n  { \"id\": 5, \"name\": \"bus\" },\n  { \"id\": 6, \"name\": \"train\" },\n  { \"id\": 7, \"name\": \"truck\" },\n  { \"id\": 8, \"name\": \"boat\" },\n  { \"id\": 9, \"name\": \"traffic light\" },\n  { \"id\": 10, \"name\": \"fire hydrant\" },\n  { \"id\": 11, \"name\": \"stop sign\" },\n  { \"id\": 12, \"name\": \"parking meter\" },\n  { \"id\": 13, \"name\": \"bench\" },\n  { \"id\": 14, \"name\": \"bird\" },\n  { \"id\": 15, \"name\": \"cat\" },\n  { \"id\": 16, \"name\": \"dog\" },\n  { \"id\": 17, \"name\": \"horse\" },\n  { \"id\": 18, \"name\": \"sheep\" },\n  { \"id\": 19, \"name\": \"cow\" },\n  { \"id\": 20, \"name\": \"elephant\" },\n  { \"id\": 21, \"name\": \"bear\" },\n  { \"id\": 22, \"name\": \"zebra\" },\n  { \"id\": 23, \"name\": \"giraffe\" },\n  { \"id\": 24, \"name\": \"backpack\" },\n  { \"id\": 25, \"name\": \"umbrella\" },\n  { \"id\": 26, \"name\": \"handbag\" },\n  { \"id\": 27, \"name\": \"tie\" },\n  { \"id\": 28, \"name\": \"suitcase\" },\n  { \"id\": 29, \"name\": \"frisbee\" },\n  { \"id\": 30, \"name\": \"skis\" },\n  { \"id\": 31, \"name\": \"snowboard\" },\n  { \"id\": 32, \"name\": \"sports ball\" },\n  { \"id\": 33, \"name\": \"kite\" },\n  { \"id\": 34, \"name\": \"baseball bat\" },\n  { \"id\": 35, \"name\": \"baseball glove\" },\n  { \"id\": 36, \"name\": \"skateboard\" },\n  { \"id\": 37, \"name\": \"surfboard\" },\n  { \"id\": 38, \"name\": \"tennis racket\" },\n  { \"id\": 39, \"name\": \"bottle\" },\n  { \"id\": 40, \"name\": \"wine glass\" },\n  { \"id\": 41, \"name\": \"cup\" },\n  { \"id\": 42, \"name\": \"fork\" },\n  { \"id\": 43, \"name\": \"knife\" },\n  { \"id\": 44, \"name\": \"spoon\" },\n  { \"id\": 45, \"name\": \"bowl\" },\n  { \"id\": 46, \"name\": \"banana\" },\n  { \"id\": 47, \"name\": \"apple\" },\n  { \"id\": 48, \"name\": \"sandwich\" },\n  { \"id\": 49, \"name\": \"orange\" },\n  { \"id\": 50, \"name\": \"broccoli\" },\n  { \"id\": 51, \"name\": \"carrot\" },\n  { \"id\": 52, \"name\": \"hot dog\" },\n  { \"id\": 53, \"name\": \"pizza\" },\n  { \"id\": 54, \"name\": \"donut\" },\n  { \"id\": 55, \"name\": \"cake\" },\n  { \"id\": 56, \"name\": \"chair\" },\n  { \"id\": 57, \"name\": \"sofa\" },\n  { \"id\": 58, \"name\": \"pottedplant\" },\n  { \"id\": 59, \"name\": \"bed\" },\n  { \"id\": 60, \"name\": \"diningtable\" },\n  { \"id\": 61, \"name\": \"toilet\" },\n  { \"id\": 62, \"name\": \"tvmonitor\" },\n  { \"id\": 63, \"name\": \"laptop\" },\n  { \"id\": 64, \"name\": \"mouse\" },\n  { \"id\": 65, \"name\": \"remote\" },\n  { \"id\": 66, \"name\": \"keyboard\" },\n  { \"id\": 67, \"name\": \"cell phone\" },\n  { \"id\": 68, \"name\": \"microwave\" },\n  { \"id\": 69, \"name\": \"oven\" },\n  { \"id\": 70, \"name\": \"toaster\" },\n  { \"id\": 71, \"name\": \"sink\" },\n  { \"id\": 72, \"name\": \"refrigerator\" },\n  { \"id\": 73, \"name\": \"book\" },\n  { \"id\": 74, \"name\": \"clock\" },\n  { \"id\": 75, \"name\": \"vase\" },\n  { \"id\": 76, \"name\": \"scissors\" },\n  { \"id\": 77, \"name\": \"teddy bear\" },\n  { \"id\": 78, \"name\": \"hair drier\" },\n  { \"id\": 79, \"name\": \"toothbrush\" }\n]\n","type":"detector"}},"spec":{"description":"YOLO v3 via Intel OpenVINO","handler":"main:handler","runtime":"python:3.6","env":[{"name":"NUCLIO_PYTHON_EXE_PATH","value":"/opt/nuclio/common/openvino/python3"}],"resources":{},"image":"cvat/openvino.omz.public.yolo-v3-tf: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/omorykon/work/cvat/serverless/openvino/common"}},"volumeMount":{"name":"volume-1","mountPath":"/opt/nuclio/common"}}],"build":{"image":"cvat/openvino.omz.public.yolo-v3-tf","baseImage":"openvino/ubuntu18_dev:2020.2","directives":{"preCopy":[{"kind":"USER","value":"root"},{"kind":"WORKDIR","value":"/opt/nuclio"},{"kind":"RUN","value":"ln -s /usr/bin/pip3 /usr/bin/pip"},{"kind":"RUN","value":"/opt/intel/openvino/deployment_tools/open_model_zoo/tools/downloader/downloader.py --name yolo-v3-tf -o /opt/nuclio/open_model_zoo"},{"kind":"RUN","value":"/opt/intel/openvino/deployment_tools/open_model_zoo/tools/downloader/converter.py --name yolo-v3-tf --precisions FP32 -d /opt/nuclio/open_model_zoo -o /opt/nuclio/open_model_zoo"}]},"codeEntryType":"image"},"platform":{"attributes":{"mountMode":"volume","restartPolicy":{"maximumRetryCount":3,"name":"always"}}},"readinessTimeoutSeconds":60,"securityContext":{},"eventTimeout":"30s"}}}}
21.02.24 14:11:26.589            nuctl.platform (I) Waiting for function to be ready {"timeout": 60}

Then a very long log output. The end of the output looks like this:

21.02.24 12:12:20.321                 processor (I) Starting processor {"version": "Label: 1.5.16, Git commit: ae43a6a560c2bec42d7ccfdf6e8e11a1e3cc3774, OS: linux, Arch: amd64, Go version: go1.14.3"}
21.02.24 12:12:20.321                 processor (D) Read configuration {"config": "{\n    \"metadata\": {\n        \"name\": \"openvino-omz-public-yolo-v3-tf\",\n        \"namespace\": \"nuclio\",\n        \"labels\": {\n            \"nuclio.io/project-name\": \"cvat\"\n        },\n        \"annotations\": {\n            \"framework\": \"openvino\",\n            \"name\": \"YOLO v3\",\n            \"spec\": \"[\\n  { \\\"id\\\": 0, \\\"name\\\": \\\"person\\\" },\\n  { \\\"id\\\": 1, \\\"name\\\": \\\"bicycle\\\" },\\n  { \\\"id\\\": 2, \\\"name\\\": \\\"car\\\" },\\n  { \\\"id\\\": 3, \\\"name\\\": \\\"motorbike\\\" },\\n  { \\\"id\\\": 4, \\\"name\\\": \\\"aeroplane\\\" },\\n  { \\\"id\\\": 5, \\\"name\\\": \\\"bus\\\" },\\n  { \\\"id\\\": 6, \\\"name\\\": \\\"train\\\" },\\n  { \\\"id\\\": 7, \\\"name\\\": \\\"truck\\\" },\\n  { \\\"id\\\": 8, \\\"name\\\": \\\"boat\\\" },\\n  { \\\"id\\\": 9, \\\"name\\\": \\\"traffic light\\\" },\\n  { \\\"id\\\": 10, \\\"name\\\": \\\"fire hydrant\\\" },\\n  { \\\"id\\\": 11, \\\"name\\\": \\\"stop sign\\\" },\\n  { \\\"id\\\": 12, \\\"name\\\": \\\"parking meter\\\" },\\n  { \\\"id\\\": 13, \\\"name\\\": \\\"bench\\\" },\\n  { \\\"id\\\": 14, \\\"name\\\": \\\"bird\\\" },\\n  { \\\"id\\\": 15, \\\"name\\\": \\\"cat\\\" },\\n  { \\\"id\\\": 16, \\\"name\\\": \\\"dog\\\" },\\n  { \\\"id\\\": 17, \\\"name\\\": \\\"horse\\\" },\\n  { \\\"id\\\": 18, \\\"name\\\": \\\"sheep\\\" },\\n  { \\\"id\\\": 19, \\\"name\\\": \\\"cow\\\" },\\n  { \\\"id\\\": 20, \\\"name\\\": \\\"elephant\\\" },\\n  { \\\"id\\\": 21, \\\"name\\\": \\\"bear\\\" },\\n  { \\\"id\\\": 22, \\\"name\\\": \\\"zebra\\\" },\\n  { \\\"id\\\": 23, \\\"name\\\": \\\"giraffe\\\" },\\n  { \\\"id\\\": 24, \\\"name\\\": \\\"backpack\\\" },\\n  { \\\"id\\\": 25, \\\"name\\\": \\\"umbrella\\\" },\\n  { \\\"id\\\": 26, \\\"name\\\": \\\"handbag\\\" },\\n  { \\\"id\\\": 27, \\\"name\\\": \\\"tie\\\" },\\n  { \\\"id\\\": 28, \\\"name\\\": \\\"suitcase\\\" },\\n  { \\\"id\\\": 29, \\\"name\\\": \\\"frisbee\\\" },\\n  { \\\"id\\\": 30, \\\"name\\\": \\\"skis\\\" },\\n  { \\\"id\\\": 31, \\\"name\\\": \\\"snowboard\\\" },\\n  { \\\"id\\\": 32, \\\"name\\\": \\\"sports ball\\\" },\\n  { \\\"id\\\": 33, \\\"name\\\": \\\"kite\\\" },\\n  { \\\"id\\\": 34, \\\"name\\\": \\\"baseball bat\\\" },\\n  { \\\"id\\\": 35, \\\"name\\\": \\\"baseball glove\\\" },\\n  { \\\"id\\\": 36, \\\"name\\\": \\\"skateboard\\\" },\\n  { \\\"id\\\": 37, \\\"name\\\": \\\"surfboard\\\" },\\n  { \\\"id\\\": 38, \\\"name\\\": \\\"tennis racket\\\" },\\n  { \\\"id\\\": 39, \\\"name\\\": \\\"bottle\\\" },\\n  { \\\"id\\\": 40, \\\"name\\\": \\\"wine glass\\\" },\\n  { \\\"id\\\": 41, \\\"name\\\": \\\"cup\\\" },\\n  { \\\"id\\\": 42, \\\"name\\\": \\\"fork\\\" },\\n  { \\\"id\\\": 43, \\\"name\\\": \\\"knife\\\" },\\n  { \\\"id\\\": 44, \\\"name\\\": \\\"spoon\\\" },\\n  { \\\"id\\\": 45, \\\"name\\\": \\\"bowl\\\" },\\n  { \\\"id\\\": 46, \\\"name\\\": \\\"banana\\\" },\\n  { \\\"id\\\": 47, \\\"name\\\": \\\"apple\\\" },\\n  { \\\"id\\\": 48, \\\"name\\\": \\\"sandwich\\\" },\\n  { \\\"id\\\": 49, \\\"name\\\": \\\"orange\\\" },\\n  { \\\"id\\\": 50, \\\"name\\\": \\\"broccoli\\\" },\\n  { \\\"id\\\": 51, \\\"name\\\": \\\"carrot\\\" },\\n  { \\\"id\\\": 52, \\\"name\\\": \\\"hot dog\\\" },\\n  { \\\"id\\\": 53, \\\"name\\\": \\\"pizza\\\" },\\n  { \\\"id\\\": 54, \\\"name\\\": \\\"donut\\\" },\\n  { \\\"id\\\": 55, \\\"name\\\": \\\"cake\\\" },\\n  { \\\"id\\\": 56, \\\"name\\\": \\\"chair\\\" },\\n  { \\\"id\\\": 57, \\\"name\\\": \\\"sofa\\\" },\\n  { \\\"id\\\": 58, \\\"name\\\": \\\"pottedplant\\\" },\\n  { \\\"id\\\": 59, \\\"name\\\": \\\"bed\\\" },\\n  { \\\"id\\\": 60, \\\"name\\\": \\\"diningtable\\\" },\\n  { \\\"id\\\": 61, \\\"name\\\": \\\"toilet\\\" },\\n  { \\\"id\\\": 62, \\\"name\\\": \\\"tvmonitor\\\" },\\n  { \\\"id\\\": 63, \\\"name\\\": \\\"laptop\\\" },\\n  { \\\"id\\\": 64, \\\"name\\\": \\\"mouse\\\" },\\n  { \\\"id\\\": 65, \\\"name\\\": \\\"remote\\\" },\\n  { \\\"id\\\": 66, \\\"name\\\": \\\"keyboard\\\" },\\n  { \\\"id\\\": 67, \\\"name\\\": \\\"cell phone\\\" },\\n  { \\\"id\\\": 68, \\\"name\\\": \\\"microwave\\\" },\\n  { \\\"id\\\": 69, \\\"name\\\": \\\"oven\\\" },\\n  { \\\"id\\\": 70, \\\"name\\\": \\\"toaster\\\" },\\n  { \\\"id\\\": 71, \\\"name\\\": \\\"sink\\\" },\\n  { \\\"id\\\": 72, \\\"name\\\": \\\"refrigerator\\\" },\\n  { \\\"id\\\": 73, \\\"name\\\": \\\"book\\\" },\\n  { \\\"id\\\": 74, \\\"name\\\": \\\"clock\\\" },\\n  { \\\"id\\\": 75, \\\"name\\\": \\\"vase\\\" },\\n  { \\\"id\\\": 76, \\\"name\\\": \\\"scissors\\\" },\\n  { \\\"id\\\": 77, \\\"name\\\": \\\"teddy bear\\\" },\\n  { \\\"id\\\": 78, \\\"name\\\": \\\"hair drier\\\" },\\n  { \\\"id\\\": 79, \\\"name\\\": \\\"toothbrush\\\" }\\n]\\n\",\n            \"type\": \"detector\"\n        }\n    },\n    \"spec\": {\n        \"description\": \"YOLO v3 via Intel OpenVINO\",\n        \"handler\": \"main:handler\",\n        \"runtime\": \"python:3.6\",\n        \"env\": [\n            {\n                \"name\": \"NUCLIO_PYTHON_EXE_PATH\",\n                \"value\": \"/opt/nuclio/common/openvino/python3\"\n            }\n        ],\n        \"resources\": {},\n        \"image\": \"cvat/openvino.omz.public.yolo-v3-tf:latest\",\n        \"targetCPU\": 75,\n        \"triggers\": {\n            \"myHttpTrigger\": {\n                \"class\": \"\",\n                \"kind\": \"http\",\n                \"name\": \"myHttpTrigger\",\n                \"maxWorkers\": 2,\n                \"workerAvailabilityTimeoutMilliseconds\": 10000,\n                \"attributes\": {\n                    \"maxRequestBodySize\": 33554432\n                }\n            }\n        },\n        \"volumes\": [\n            {\n                \"volume\": {\n                    \"name\": \"volume-1\",\n                    \"hostPath\": {\n                        \"path\": \"/home/omorykon/work/cvat/serverless/openvino/common\"\n                    }\n                },\n                \"volumeMount\": {\n                    \"name\": \"volume-1\",\n                    \"mountPath\": \"/opt/nuclio/common\"\n                }\n            }\n        ],\n        \"build\": {\n            \"image\": \"cvat/openvino.omz.public.yolo-v3-tf\",\n            \"baseImage\": \"openvino/ubuntu18_dev:2020.2\",\n            \"directives\": {\n                \"preCopy\": [\n                    {\n                        \"kind\": \"USER\",\n                        \"value\": \"root\"\n                    },\n                    {\n                        \"kind\": \"WORKDIR\",\n                        \"value\": \"/opt/nuclio\"\n                    },\n                    {\n                        \"kind\": \"RUN\",\n                        \"value\": \"ln -s /usr/bin/pip3 /usr/bin/pip\"\n                    },\n                    {\n                        \"kind\": \"RUN\",\n                        \"value\": \"/opt/intel/openvino/deployment_tools/open_model_zoo/tools/downloader/downloader.py --name yolo-v3-tf -o /opt/nuclio/open_model_zoo\"\n                    },\n                    {\n                        \"kind\": \"RUN\",\n                        \"value\": \"/opt/intel/openvino/deployment_tools/open_model_zoo/tools/downloader/converter.py --name yolo-v3-tf --precisions FP32 -d /opt/nuclio/open_model_zoo -o /opt/nuclio/open_model_zoo\"\n                    }\n                ]\n            },\n            \"codeEntryType\": \"image\",\n            \"timestamp\": 1614168685\n        },\n        \"platform\": {\n            \"attributes\": {\n                \"mountMode\": \"volume\",\n                \"restartPolicy\": {\n                    \"maximumRetryCount\": 3,\n                    \"name\": \"always\"\n                }\n            }\n        },\n        \"readinessTimeoutSeconds\": 60,\n        \"securityContext\": {},\n        \"eventTimeout\": \"30s\"\n    },\n    \"PlatformConfig\": null\n}", "platformConfig": "{\n    \"kind\": \"local\",\n    \"webAdmin\": {\n        \"enabled\": true,\n        \"listenAddress\": \":8081\"\n    },\n    \"healthCheck\": {\n        \"enabled\": true,\n        \"listenAddress\": \":8082\"\n    },\n    \"logger\": {\n        \"sinks\": {\n            \"stdout\": {\n                \"kind\": \"stdout\"\n            }\n        },\n        \"system\": [\n            {\n                \"level\": \"debug\",\n                \"sink\": \"stdout\"\n            }\n        ],\n        \"functions\": [\n            {\n                \"level\": \"debug\",\n                \"sink\": \"stdout\"\n            }\n        ]\n    },\n    \"metrics\": {},\n    \"scaleToZero\": {},\n    \"autoScale\": {},\n    \"cronTriggerCreationMode\": \"processor\",\n    \"ingressConfig\": {},\n    \"kube\": {\n        \"defaultServiceType\": \"ClusterIP\"\n    },\n    \"imageRegistryOverrides\": {}\n}"}
21.02.24 12:12:20.321 cessor.healthcheck.server (I) Listening {"listenAddress": ":8082"}
21.02.24 12:12:20.321            processor.http (D) Creating worker pool {"num": 2}
21.02.24 12:12:20.321 sor.http.w0.python.logger (D) Creating listener socket {"path": "/tmp/nuclio-rpc-c0r4594c56jn10vinob0.sock"}
21.02.24 12:12:20.321 sor.http.w1.python.logger (D) Creating listener socket {"path": "/tmp/nuclio-rpc-c0r4594c56jn10vinoag.sock"}
21.02.24 12:12:20.321 sor.http.w0.python.logger (D) Using Python wrapper script path {"path": "/opt/nuclio/_nuclio_wrapper.py"}
21.02.24 12:12:20.322 sor.http.w1.python.logger (D) Using Python wrapper script path {"path": "/opt/nuclio/_nuclio_wrapper.py"}
21.02.24 12:12:20.322 sor.http.w0.python.logger (D) Using Python handler {"handler": "main:handler"}
21.02.24 12:12:20.322 sor.http.w1.python.logger (D) Using Python handler {"handler": "main:handler"}
21.02.24 12:12:20.322 sor.http.w0.python.logger (E) Can't find Python exe {"error": "exec: \"/opt/nuclio/common/openvino/python3\": stat /opt/nuclio/common/openvino/python3: no such file or directory"}
21.02.24 12:12:20.322 sor.http.w1.python.logger (E) Can't find Python exe {"error": "exec: \"/opt/nuclio/common/openvino/python3\": stat /opt/nuclio/common/openvino/python3: no such file or directory"}

Error - exec: "/opt/nuclio/common/openvino/python3": stat /opt/nuclio/common/openvino/python3: no such file or directory
    ...//nuclio/pkg/processor/runtime/rpc/abstract.go:231

Call stack:
Can't run wrapper
    ...//nuclio/pkg/processor/runtime/rpc/abstract.go:231
Failed to run wrapper
    ...//nuclio/pkg/processor/runtime/rpc/abstract.go:106
Failed to start runtime
    /nuclio/pkg/processor/worker/factory.go:101
Failed to create worker
    /nuclio/pkg/processor/worker/factory.go:122
Failed to create workers
    /nuclio/pkg/processor/worker/factory.go:132

    /nuclio/pkg/platform/local/platform.go:1001
Failed to deploy function
    ...//nuclio/pkg/platform/abstract/platform.go:182
nmanovic commented 3 years ago

If you find the command in documentation, need to update it. The path to the volume wasn't correct. Please use the command below:

nuctl deploy --project-name cvat \
  --path serverless/openvino/omz/public/yolo-v3-tf/nuclio \
  --volume `pwd`/serverless/common:/opt/nuclio/common \
  --platform local

Also it is better to use scripts inside serverless directory. They should work out of the box: ./deploy_cpu.sh

AlexandrMoruk commented 3 years ago

Thank you very much, i did as you said above and it worked

(base) ➜  serverless git:(develop) ✗ ./deploy_cpu.sh openvino/omz/public/yolo-v3-tf 
Deploying openvino/omz/public/yolo-v3-tf function...
21.02.24 14:24:19.986                     nuctl (I) Deploying function {"name": ""}
21.02.24 14:24:19.986                     nuctl (I) Building {"versionInfo": "Label: 1.5.16, Git commit: ae43a6a560c2bec42d7ccfdf6e8e11a1e3cc3774, OS: linux, Arch: amd64, Go version: go1.14.3", "name": ""}
21.02.24 14:24:20.172                     nuctl (I) Cleaning up before deployment {"functionName": "openvino-omz-public-yolo-v3-tf"}
21.02.24 14:24:20.223                     nuctl (I) Function already exists, deleting function containers {"functionName": "openvino-omz-public-yolo-v3-tf"}
21.02.24 14:24:20.254                     nuctl (I) Staging files and preparing base images
21.02.24 14:24:20.254                     nuctl (I) Building processor image {"imageName": "cvat/openvino.omz.public.yolo-v3-tf:latest"}
21.02.24 14:24:20.254     nuctl.platform.docker (I) Pulling image {"imageName": "quay.io/nuclio/handler-builder-python-onbuild:1.5.16-amd64"}
21.02.24 14:24:23.123     nuctl.platform.docker (I) Pulling image {"imageName": "quay.io/nuclio/uhttpc:0.0.1-amd64"}
21.02.24 14:24:26.860            nuctl.platform (I) Building docker image {"image": "cvat/openvino.omz.public.yolo-v3-tf:latest"}
21.02.24 14:24:27.063            nuctl.platform (I) Pushing docker image into registry {"image": "cvat/openvino.omz.public.yolo-v3-tf:latest", "registry": ""}
21.02.24 14:24:27.063            nuctl.platform (I) Docker image was successfully built and pushed into docker registry {"image": "cvat/openvino.omz.public.yolo-v3-tf:latest"}
21.02.24 14:24:27.063                     nuctl (I) Build complete {"result": {"Image":"cvat/openvino.omz.public.yolo-v3-tf:latest","UpdatedFunctionConfig":{"metadata":{"name":"openvino-omz-public-yolo-v3-tf","namespace":"nuclio","labels":{"nuclio.io/project-name":"cvat"},"annotations":{"framework":"openvino","name":"YOLO v3","spec":"[\n  { \"id\": 0, \"name\": \"person\" },\n  { \"id\": 1, \"name\": \"bicycle\" },\n  { \"id\": 2, \"name\": \"car\" },\n  { \"id\": 3, \"name\": \"motorbike\" },\n  { \"id\": 4, \"name\": \"aeroplane\" },\n  { \"id\": 5, \"name\": \"bus\" },\n  { \"id\": 6, \"name\": \"train\" },\n  { \"id\": 7, \"name\": \"truck\" },\n  { \"id\": 8, \"name\": \"boat\" },\n  { \"id\": 9, \"name\": \"traffic light\" },\n  { \"id\": 10, \"name\": \"fire hydrant\" },\n  { \"id\": 11, \"name\": \"stop sign\" },\n  { \"id\": 12, \"name\": \"parking meter\" },\n  { \"id\": 13, \"name\": \"bench\" },\n  { \"id\": 14, \"name\": \"bird\" },\n  { \"id\": 15, \"name\": \"cat\" },\n  { \"id\": 16, \"name\": \"dog\" },\n  { \"id\": 17, \"name\": \"horse\" },\n  { \"id\": 18, \"name\": \"sheep\" },\n  { \"id\": 19, \"name\": \"cow\" },\n  { \"id\": 20, \"name\": \"elephant\" },\n  { \"id\": 21, \"name\": \"bear\" },\n  { \"id\": 22, \"name\": \"zebra\" },\n  { \"id\": 23, \"name\": \"giraffe\" },\n  { \"id\": 24, \"name\": \"backpack\" },\n  { \"id\": 25, \"name\": \"umbrella\" },\n  { \"id\": 26, \"name\": \"handbag\" },\n  { \"id\": 27, \"name\": \"tie\" },\n  { \"id\": 28, \"name\": \"suitcase\" },\n  { \"id\": 29, \"name\": \"frisbee\" },\n  { \"id\": 30, \"name\": \"skis\" },\n  { \"id\": 31, \"name\": \"snowboard\" },\n  { \"id\": 32, \"name\": \"sports ball\" },\n  { \"id\": 33, \"name\": \"kite\" },\n  { \"id\": 34, \"name\": \"baseball bat\" },\n  { \"id\": 35, \"name\": \"baseball glove\" },\n  { \"id\": 36, \"name\": \"skateboard\" },\n  { \"id\": 37, \"name\": \"surfboard\" },\n  { \"id\": 38, \"name\": \"tennis racket\" },\n  { \"id\": 39, \"name\": \"bottle\" },\n  { \"id\": 40, \"name\": \"wine glass\" },\n  { \"id\": 41, \"name\": \"cup\" },\n  { \"id\": 42, \"name\": \"fork\" },\n  { \"id\": 43, \"name\": \"knife\" },\n  { \"id\": 44, \"name\": \"spoon\" },\n  { \"id\": 45, \"name\": \"bowl\" },\n  { \"id\": 46, \"name\": \"banana\" },\n  { \"id\": 47, \"name\": \"apple\" },\n  { \"id\": 48, \"name\": \"sandwich\" },\n  { \"id\": 49, \"name\": \"orange\" },\n  { \"id\": 50, \"name\": \"broccoli\" },\n  { \"id\": 51, \"name\": \"carrot\" },\n  { \"id\": 52, \"name\": \"hot dog\" },\n  { \"id\": 53, \"name\": \"pizza\" },\n  { \"id\": 54, \"name\": \"donut\" },\n  { \"id\": 55, \"name\": \"cake\" },\n  { \"id\": 56, \"name\": \"chair\" },\n  { \"id\": 57, \"name\": \"sofa\" },\n  { \"id\": 58, \"name\": \"pottedplant\" },\n  { \"id\": 59, \"name\": \"bed\" },\n  { \"id\": 60, \"name\": \"diningtable\" },\n  { \"id\": 61, \"name\": \"toilet\" },\n  { \"id\": 62, \"name\": \"tvmonitor\" },\n  { \"id\": 63, \"name\": \"laptop\" },\n  { \"id\": 64, \"name\": \"mouse\" },\n  { \"id\": 65, \"name\": \"remote\" },\n  { \"id\": 66, \"name\": \"keyboard\" },\n  { \"id\": 67, \"name\": \"cell phone\" },\n  { \"id\": 68, \"name\": \"microwave\" },\n  { \"id\": 69, \"name\": \"oven\" },\n  { \"id\": 70, \"name\": \"toaster\" },\n  { \"id\": 71, \"name\": \"sink\" },\n  { \"id\": 72, \"name\": \"refrigerator\" },\n  { \"id\": 73, \"name\": \"book\" },\n  { \"id\": 74, \"name\": \"clock\" },\n  { \"id\": 75, \"name\": \"vase\" },\n  { \"id\": 76, \"name\": \"scissors\" },\n  { \"id\": 77, \"name\": \"teddy bear\" },\n  { \"id\": 78, \"name\": \"hair drier\" },\n  { \"id\": 79, \"name\": \"toothbrush\" }\n]\n","type":"detector"}},"spec":{"description":"YOLO v3 via Intel OpenVINO","handler":"main:handler","runtime":"python:3.6","env":[{"name":"NUCLIO_PYTHON_EXE_PATH","value":"/opt/nuclio/common/openvino/python3"}],"resources":{},"image":"cvat/openvino.omz.public.yolo-v3-tf: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/omorykon/work/cvat/serverless/common"}},"volumeMount":{"name":"volume-1","mountPath":"/opt/nuclio/common"}}],"build":{"image":"cvat/openvino.omz.public.yolo-v3-tf","baseImage":"openvino/ubuntu18_dev:2020.2","directives":{"preCopy":[{"kind":"USER","value":"root"},{"kind":"WORKDIR","value":"/opt/nuclio"},{"kind":"RUN","value":"ln -s /usr/bin/pip3 /usr/bin/pip"},{"kind":"RUN","value":"/opt/intel/openvino/deployment_tools/open_model_zoo/tools/downloader/downloader.py --name yolo-v3-tf -o /opt/nuclio/open_model_zoo"},{"kind":"RUN","value":"/opt/intel/openvino/deployment_tools/open_model_zoo/tools/downloader/converter.py --name yolo-v3-tf --precisions FP32 -d /opt/nuclio/open_model_zoo -o /opt/nuclio/open_model_zoo"}]},"codeEntryType":"image"},"platform":{"attributes":{"mountMode":"volume","restartPolicy":{"maximumRetryCount":3,"name":"always"}}},"readinessTimeoutSeconds":60,"securityContext":{},"eventTimeout":"30s"}}}}
21.02.24 14:24:27.766            nuctl.platform (I) Waiting for function to be ready {"timeout": 60}
21.02.24 14:24:29.863                     nuctl (I) Function deploy complete {"functionName": "openvino-omz-public-yolo-v3-tf", "httpPort": 49280}
  NAMESPACE |              NAME              | PROJECT | STATE | NODE PORT | REPLICAS  
  nuclio    | openvino-dextr                 | cvat    | ready |     49255 | 1/1       
  nuclio    | openvino-omz-public-yolo-v3-tf | cvat    | ready |     49280 | 1/1       
  nuclio    | pth-saic-vul-fbrs              | cvat    | ready |     49276 | 1/1
miseonkang commented 3 years ago

@miseonkang ,

  • please run nuctl version command and post output
  • please post here exact command which you are using to deploy a serverless function and its output. For example, in my case
nmanovic@nmanovic-dl-node:~/Workspace/synergy-core/build/bin$ nuctl version

Client version:

"Label: 1.5.16, Git commit: ae43a6a560c2bec42d7ccfdf6e8e11a1e3cc3774, OS: linux, Arch: amd64, Go version: go1.14.3"
nmanovic@nmanovic-dl-node:~/Workspace/cvat/serverless$ ./deploy_cpu.sh openvino/dextr/

Deploying openvino/dextr function...

21.02.24 14:55:42.932                     nuctl (I) Deploying function {"name": ""}

21.02.24 14:55:42.932                     nuctl (I) Building {"versionInfo": "Label: 1.5.16, Git commit: ae43a6a560c2bec42d7ccfdf6e8e11a1e3cc3774, OS: linux, Arch: amd64, Go version: go1.14.3", "name": ""}

21.02.24 14:55:43.319                     nuctl (I) Cleaning up before deployment {"functionName": "openvino-dextr"}

21.02.24 14:55:43.361                     nuctl (I) Staging files and preparing base images

21.02.24 14:55:43.362                     nuctl (I) Building processor image {"imageName": "cvat/openvino.dextr:latest"}

21.02.24 14:55:43.363     nuctl.platform.docker (I) Pulling image {"imageName": "quay.io/nuclio/handler-builder-python-onbuild:1.5.16-amd64"}

21.02.24 14:55:48.303     nuctl.platform.docker (I) Pulling image {"imageName": "quay.io/nuclio/uhttpc:0.0.1-amd64"}

21.02.24 14:55:51.749            nuctl.platform (I) Building docker image {"image": "cvat/openvino.dextr:latest"}

....

i run nuctl version`

user01@kmsDeepServer01:~/cvat$ nuctl version Client version: "Label: 1.5.16, Git commit: ae43a6a560c2bec42d7ccfdf6e8e11a1e3cc3774, OS: linux,

user01@kmsDeepServer01:~/cvat/serverless$ ./deploy_cpu.sh openvino/dextr/ Deploying openvino/dextr function... 21.02.25 09:02:14.011 nuctl (I) Deploying function {"name": ""} 21.02.25 09:02:14.011 nuctl (I) Building {"versionInfo": "Label: 1.5.16, Git commit: ae4 3a6a560c2bec42d7ccfdf6e8e11a1e3cc3774, OS: linux, Arch: amd64, Go version: go1.14.3", "name": ""} 21.02.25 09:02:14.353 nuctl (I) Cleaning up before deployment {"functionName": "openvino -dextr"} 21.02.25 09:02:14.447 nuctl (I) Function already exists, deleting function containers {" functionName": "openvino-dextr"} 21.02.25 09:02:14.569 nuctl (I) Staging files and preparing base images 21.02.25 09:02:14.570 nuctl (I) Building processor image {"imageName": "cvat/openvino.de xtr:latest"} 21.02.25 09:02:14.570 nuctl.platform.docker (I) Pulling image {"imageName": "quay.io/nuclio/handler-buil der-python-onbuild:1.5.16-amd64"} 21.02.25 09:02:18.798 nuctl.platform.docker (I) Pulling image {"imageName": "quay.io/nuclio/uhttpc:0.0.1 -amd64"} 21.02.25 09:02:24.332 nuctl.platform (I) Building docker image {"image": "cvat/openvino.dextr:lat est"} 21.02.25 09:02:24.655 nuctl.platform (I) Pushing docker image into registry {"image": "cvat/openv ino.dextr:latest", "registry": ""} 21.02.25 09:02:24.655 nuctl.platform (I) Docker image was successfully built and pushed into dock er registry {"image": "cvat/openvino.dextr:latest"} 21.02.25 09:02:24.655 nuctl (I) Build complete {"result": {"Image":"cvat/openvino.dextr: latest","UpdatedFunctionConfig":{"metadata":{"name":"openvino-dextr","namespace":"nuclio","labels":{"nuclio. io/project-name":"cvat"},"annotations":{"framework":"openvino","min_pos_points":"4","name":"DEXTR","spec":"" ,"type":"interactor"}},"spec":{"description":"Deep Extreme Cut","handler":"main:handler","runtime":"python:3 .6","env":[{"name":"NUCLIO_PYTHON_EXE_PATH","value":"/opt/nuclio/common/openvino/python3"}],"resources":{}," image":"cvat/openvino.dextr:latest","targetCPU":75,"triggers":{"myHttpTrigger":{"class":"","kind":"http","na me":"myHttpTrigger","maxWorkers":2,"workerAvailabilityTimeoutMilliseconds":10000,"attributes":{"maxRequestBo dySize":33554432}}},"volumes":[{"volume":{"name":"volume-1","hostPath":{"path":"/home/user01/cvat/serverless /common"}},"volumeMount":{"name":"volume-1","mountPath":"/opt/nuclio/common"}}],"build":{"image":"cvat/openv ino.dextr","baseImage":"openvino/ubuntu18_runtime:2020.2","directives":{"postCopy":[{"kind":"RUN","value":"c url -O https://download.01.org/openvinotoolkit/models_contrib/cvat/dextr_model_v1.zip"},{"kind":"RUN","value ":"unzip dextr_model_v1.zip"},{"kind":"RUN","value":"pip3 install Pillow"}],"preCopy":[{"kind":"USER","value ":"root"},{"kind":"WORKDIR","value":"/opt/nuclio"},{"kind":"RUN","value":"ln -s /usr/bin/pip3 /usr/bin/pip"} ]},"codeEntryType":"image"},"platform":{"attributes":{"mountMode":"volume","restartPolicy":{"maximumRetryCou nt":3,"name":"always"}}},"readinessTimeoutSeconds":60,"securityContext":{},"eventTimeout":"30s"}}}} 21.02.25 09:02:26.239 nuctl.platform (I) Waiting for function to be ready {"timeout": 60} 21.02.25 09:02:27.542 nuctl (I) Function deploy complete {"functionName": "openvino-dext r", "httpPort": 53441} NAMESPACE | NAME | PROJECT | STATE | NODE PORT | REPLICAS nuclio | openvino-dextr | cvat | ready | 53441 | 1/1 nuclio | openvino-omz-public-yolo-v3-tf | cvat | building | 0 | 1/1

wow!! thank you!!!! openvino-dextr state ready!!!

miseonkang commented 3 years ago

Installation was successful.

However, if you do DEXTR in task task at localhost:8080, the following message appears.

How to fix this error? ??

image

AlexandrMoruk commented 3 years ago

I have same problem. I think the difference is in the requests tnat the CVAT send. On CVAT.org request for fbrs looks like: image

But on localhost it is different: image and i get 500 error Why does the CVAT send requests with another fields?

bsekachev commented 3 years ago

@AlexandrMoruk

Looks like your localhost wasn't updated. Send us a version: user dropdown at top right corner -> About

bsekachev commented 3 years ago

You can also try to update page with enabled checkbox "Disable cache". JS page you use, theoretically might be cached by a browser (with old version)

Screenshot from 2021-02-25 15-51-47

AlexandrMoruk commented 3 years ago

like the latest version image

"Disable cache" doesn't work too

AlexandrMoruk commented 3 years ago

Yesterday the fbrs on cvat.org also did not work, maybe something was fixed there?

azhavoro commented 3 years ago

@AlexandrMoruk If you use develop branch you should build images with docker-compose -f docker-compose.yml -f docker-compose.dev.yml build command. Only release images v1.2.0 are available on the Dockerhub that dont yet support this unreleased functionality.

nmanovic commented 3 years ago

@miseonkang , @AlexandrMoruk , I will close the issue. Please don't hesitate to reopen it, if you still can reproduce it on the latest develop branch.

P.S. I have checked and FBRS works on CVAT.org now.

Ashish-25-11 commented 2 years ago

nuctl deploy --project-name cvat \ --path serverless/openvino/dextr/nuclio \ --volume pwd/serverless/common:/opt/nuclio/common \ --platform local I am running the above command and getting the error which is shown below

Error - exec: "/opt/nuclio/common/openvino/python3": stat /opt/nuclio/common/openvino/python3: no such file or directory ...//nuclio/pkg/processor/runtime/rpc/abstract.go:239

Any soltuion