GARLIC error

[RJGhugo]

Error while runing GARLIC

python image_to_animation.py drawings/garlic.png garlic_out Traceback (most recent call last): File "image_to_animation.py", line 41, in <module> image_to_animation(img_fn, char_anno_dir, motion_cfg_fn, retarget_cfg_fn) File "image_to_animation.py", line 19, in image_to_animation image_to_annotations(img_fn, char_anno_dir) File "/home/xxx/AnimatedDrawings/examples/image_to_annotations.py", line 53, in image_to_annotations raise Exception(f"Failed to get bounding box, please check if the 'docker_torchserve' is running and healthy, resp: {resp}") Exception: Failed to get bounding box, please check if the 'docker_torchserve' is running and healthy, resp: <Response [500]>

Setup

Arch Linux Gnome Boxes with Ubuntu (18.04 and/or 23.10)

1. Diskspace: 300 GB
2. Memory: 48 GB

Installation inside Gnome Boxes

sudo apt update sudo apt upgrade sudo apt install spice-webdavd spice-client-gtk

conda

mkdir -p ~/miniconda3

wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda3/miniconda.sh

bash ~/miniconda3/miniconda.sh -b -u -p ~/miniconda3

rm -rf ~/miniconda3/miniconda.sh

~/miniconda3/bin/conda init bash

Animation

sudo apt install git

git clone https://github.com/facebookresearch/AnimatedDrawings.git

conda create --name animated_drawings python=3.8.13

conda activate animated_drawings

cd AnimatedDrawings

pip install -e .

Basic Test

works on 18.04, but not on 23.10

conda activate animated_drawings

cd ~/AnimatedDrawings/

python

from animated_drawings import render

render.start('./examples/config/mvc/interactive_window_example.yaml')

Docker

Docker Desktop

https://docs.docker.com/desktop/install/ubuntu/

Add Docker's official GPG key:

sudo apt-get update sudo apt-get install ca-certificates curl sudo install -m 0755 -d /etc/apt/keyrings sudo curl -fsSL https://download.docker.com/linux/ubuntu/gpg -o /etc/apt/keyrings/docker.asc sudo chmod a+r /etc/apt/keyrings/docker.asc

Add the repository to Apt sources:

echo \ "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.asc] https://download.docker.com/linux/ubuntu \ $(. /etc/os-release && echo "$VERSION_CODENAME") stable" | \ sudo tee /etc/apt/sources.list.d/docker.list > /dev/null

sudo apt-get update

sudo apt-get install docker-ce docker-ce-cli containerd.io docker-compose-plugin

Test

sudo docker run hello-world

Install Animated Drawings

cd ~/AnimatedDrawings/torchserve

nano Dockerfile #RUN pip install torch==2.0.0 RUN pip install torch==2.0.1 #RUN pip install torch RUN mim install mmcv-full==1.7.0 #RUN mim install mmcv-full

sudo docker build -t docker_torchserve .

sudo docker run -d --name docker_torchserve -p 8080:8080 -p 8081:8081 docker_torchserve

sudo docker run --name docker_torchserve --memory="32G" -p 8080:8080 -p 8081:8081 docker_torchserve

curl http://localhost:8080/ping

Test

fails on 18.04 and 23.10

conda activate animated_drawings

cd ~/AnimatedDrawings/examples

python image_to_animation.py drawings/garlic.png garlic_out

[frnzee]

Any updates here please? :) Ended up here as well despite got it to work previously, now back there ending up with "Healthy" status but "Exception: Failed to get bounding box, please check if the 'docker_torchserve' is running and healthy, resp: <Response [500]>" and "Unhealthy" status after that. Did everything quite the same way and probably have almost the same setup

[RJGhugo]

no till now nothing...

[Jll0716]

I also have this problem .Did you settle this?

[hjessmith]

Hello folks. So the server initially returns 'healthy' but dies during the request to get the bounding box, then returns 'unhealthy'.

I've only ever encountered this issue when there wasn't enough RAM allotted to the docker. If you alot at least 16gb (or higher if you can) and it's still failing, then there's a different issue that's causing torchserve to die. In that case you'll need to take it up with the torchserve team, as I can't troubleshoot it for you.

[RJGhugo]

Hello,

allocated 48GB to the VW (18.04 LTS) and 40 GB to Docker.

sudo docker run --name docker_torchserve --memory="40G" -p 8080:8080 -p 8081:8081 docker_torchserve

Still the same error...

[siyel4512]

If increasing memory fails, in dockerfile RUN pip install torch==2.0.0 -> RUN pip install torch==2.0.0 torchvision==0.15.1 Change and test. (If it doesn't work, reinstall docker desktop first and test it)

This was conducted in the test environment below. -windows 10 -ram 64gb

271

[RJGhugo]

Thanks very much. That was it!

cd ~/AnimatedDrawings/torchserve

nano Dockerfile

RUN pip install torch==2.0.0 torchvision==0.15.1

[RJGhugo]

As soon as I have a resonable figure I shall post it in the Fediverse with #FAIRAnimatedDrawings.