Open oxygen-berry opened 5 months ago
If you're getting an error there, you're most likely using an outdated version of gradio. Make sure to pip install gradio==4.17.0
as per the Dockerfile.
Regarding running the project without gradio, you can take a look at how https://github.com/microsoft/SoM/blob/main/demo_som.py#L109 and https://github.com/microsoft/SoM/blob/main/demo_gpt4v_som.py#L131 are implemented, i.e. with calls to inference_semsam_m2m_auto
, inference_sam_m2m_auto
, etc.
The easiest way to use the project is with deploy.py. If you don't want to run it on EC2, you can simply follow the commands in the script
section of https://github.com/microsoft/SoM/blob/main/docker-build-ec2.yml.j2#L25. Running this locally would look something like this:
# Build the image
sudo nvidia-docker build -t som .
# Run the image
sudo docker run -d -p 6092:6092 --gpus all --name som-container som
Dear sir, I want to run the program directly locally, that is, input the image and output the segmented and marked image without using Gradio to generate the website. Is there any corresponding file? I try to modify the demo_som.py file, but I always get an error because of these two lines.
_image = image['background'].convert('RGB') _mask = image['layers'][0].convert('L') if image['layers'] else None
Can you give me some tips please?Thank you.