TRI-ML / packnet-sfm

TRI-ML Monocular Depth Estimation Repository
https://tri-ml.github.io/packnet-sfm/
MIT License
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failed at "make docker-build" #81

Closed TheRustlessSummer closed 3 years ago

TheRustlessSummer commented 4 years ago

image image

Hello, when I run make docker-build , the question shows in the figure.

tjdahlke commented 4 years ago

This doesn't help with your problem directly, a pre-built docker image may help you circumvent the issue entirely:

For example: https://hub.docker.com/r/tjdahlke/packnet-sfm

Or potentially any of these: https://hub.docker.com/search?q=packnet-sfm&type=image

TheRustlessSummer commented 3 years ago

This doesn't help with your problem directly, a pre-built docker image may help you circumvent the issue entirely:

For example: https://hub.docker.com/r/tjdahlke/packnet-sfm

Or potentially any of these: https://hub.docker.com/search?q=packnet-sfm&type=image

hello, thanks for attention. But there are still some question after I download the docker from hdjang. 图片

TheRustlessSummer commented 3 years ago

This doesn't help with your problem directly, a pre-built docker image may help you circumvent the issue entirely:

For example: https://hub.docker.com/r/tjdahlke/packnet-sfm

Or potentially any of these: https://hub.docker.com/search?q=packnet-sfm&type=image

When I saw the output of the commend "make docker-build", I have a question. I have download the docker of packenet-sfm, why I need to download other package?

TheRustlessSummer commented 3 years ago

This doesn't help with your problem directly, a pre-built docker image may help you circumvent the issue entirely:

For example: https://hub.docker.com/r/tjdahlke/packnet-sfm

Or potentially any of these: https://hub.docker.com/search?q=packnet-sfm&type=image

or it failed cause the ip

This doesn't help with your problem directly, a pre-built docker image may help you circumvent the issue entirely:

For example: https://hub.docker.com/r/tjdahlke/packnet-sfm

Or potentially any of these: https://hub.docker.com/search?q=packnet-sfm&type=image

The question always happened at step 15, maybe I think it caused by the ip

TheRustlessSummer commented 3 years ago

Hello, I downloaded the docker from hdjang and tjdahlke, but when I run the commend 'make docker-start-interactive', the same question still happened.

At 2020-10-24 05:24:15, "Taylor Dahlke" notifications@github.com wrote:

This doesn't help with your problem directly, but a pre-built docker image may help you circumvent the issue entirely:

For example: https://hub.docker.com/r/tjdahlke/packnet-sfm

Or potentially any of these: https://hub.docker.com/search?q=packnet-sfm&type=image

— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.

TheRustlessSummer commented 3 years ago

The commend I use was make docker-start-interactive. But the question still happened. Or I tried to run commend make docker-run COMMAND="python3 scripts/train.py configs/overfit_kitti.yaml". The output of these two commends were the same with make docker-build. I don't know how to do with this.

At 2020-10-26 09:20:07, "Taylor Dahlke" notifications@github.com wrote:

If you are using a prebuilt docker image, you shouldn't be using the

make docker-build

command, since you are trying to enter an existing docker image, not build a new one.

You want to run something along the lines of

docker run -it hdjang/packnet-sfm:latest

Try using/modifying the

`make docker-start-interactive'

command, which makes use of a similar docker command.

— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.

tjdahlke commented 3 years ago

Not sure what the fix is here. I wonder if you have some network settings that are not allowing the docker container to communicate properly with the nvidia server?

TheRustlessSummer commented 3 years ago

Hello,

I have successfully run docker. Need I save docker before close the terminal? Or I need to redownload these package?

At 2020-10-27 01:01:25, "Taylor Dahlke" notifications@github.com wrote:

Not sure what the fix is here. I wonder if you have some network settings that are not allowing the docker container to communicate properly with the nvidia server?

— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.

tjdahlke commented 3 years ago

No. The docker image should remain as-is on your local system unless you manually remove it.

tjdahlke commented 3 years ago

If this issue is now resolved for you, please consider closing it.

TheRustlessSummer commented 3 years ago

Thanks for your help.