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praeclarumjj3
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Parent(s):
f206f62
Fix text
Browse files- Dockerfile +1 -4
- gradio_app.py +4 -4
Dockerfile
CHANGED
@@ -30,18 +30,15 @@ RUN chmod -R 777 $WORKDIR
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COPY requirements.txt $WORKDIR/requirements.txt
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RUN pip install --no-cache-dir --upgrade -r $WORKDIR/requirements.txt
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COPY . .
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ARG TORCH_CUDA_ARCH_LIST=7.5+PTX
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RUN pip install ninja
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USER root
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RUN chown -R user:user $HOME
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RUN chmod -R 777 $HOME
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RUN chown -R user:user $WORKDIR
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RUN chmod -R 777 $WORKDIR
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USER user
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RUN ln -s $WORKDIR/oneformer/modeling/pixel_decoder/ops/ $WORKDIR/ && ls && cd ops/ && FORCE_CUDA=1 python setup.py build --build-base=$WORKDIR/ install --user && cd ..
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COPY requirements.txt $WORKDIR/requirements.txt
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RUN pip install --no-cache-dir --upgrade -r $WORKDIR/requirements.txt
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RUN pip install ninja
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COPY . .
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ARG TORCH_CUDA_ARCH_LIST=7.5+PTX
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USER root
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RUN chown -R user:user $HOME
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RUN chmod -R 777 $HOME
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USER user
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RUN ln -s $WORKDIR/oneformer/modeling/pixel_decoder/ops/ $WORKDIR/ && ls && cd ops/ && FORCE_CUDA=1 python setup.py build --build-base=$WORKDIR/ install --user && cd ..
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gradio_app.py
CHANGED
@@ -187,12 +187,12 @@ def segment(path, task, dataset, backbone):
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title = "OneFormer: One Transformer to Rule Universal Image Segmentation"
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description = "<p font-size: 16px; font-weight: w600; text-align: center'> <a href='https://praeclarumjj3.github.io/oneformer/' target='_blank'>Project Page</a> | <a href='https://arxiv.org/abs/2211.06220' target='_blank'>ArXiv Paper</a> | <a href='https://github.com/SHI-Labs/OneFormer' target='_blank'>Github Repo</a></p>" \
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+ "<p font-size: 12px; text-align: center' margin: 10px font-weight: w300; text-align: center'> <a href='https://chrisjuniorli.github.io/' target='_blank'>Jiachen Li<sup>*</sup></a> <a href='https://www.linkedin.com/in/mtchiu/' target='_blank'>MangTik Chiu<sup>*</sup></a> <a href='https://alihassanijr.com/' target='_blank'>Ali Hassani</a> <a href='https://www.linkedin.com/in/nukich74/' target='_blank'>Nikita Orlov</a> <a href='https://www.humphreyshi.com/home' target='_blank'>Humphrey Shi</a></p>" \
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+ "<p text-align: center; font-size: 14px; font-weight: w300;'> \
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OneFormer is the first multi-task universal image segmentation framework based on transformers. Our single OneFormer model achieves state-of-the-art performance across all three segmentation tasks with a single task-conditioned joint training process. OneFormer uses a task token to condition the model on the task in focus, making our architecture task-guided for training, and task-dynamic for inference, all with a single model. We believe OneFormer is a significant step towards making image segmentation more universal and accessible.\
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</p>" \
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+ "<p text-align: center; font-size: 14px; font-weight: w300;'> [Note: Inference on CPU may take upto 2 minutes. On a single RTX A6000 GPU, OneFormer is able to inference at more than 15 FPS.</p>"
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# description = "<p style='color: #E0B941; font-size: 16px; font-weight: w600; text-align: center'> <a style='color: #E0B941;' href='https://praeclarumjj3.github.io/oneformer/' target='_blank'>Project Page</a> | <a style='color: #E0B941;' href='https://arxiv.org/abs/2211.06220' target='_blank'>OneFormer: One Transformer to Rule Universal Image Segmentation</a> | <a style='color: #E0B941;' href='https://github.com/SHI-Labs/OneFormer' target='_blank'>Github</a></p>" \
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# + "<p style='color:royalblue; margin: 10px; font-size: 16px; font-weight: w400;'> \
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title = "OneFormer: One Transformer to Rule Universal Image Segmentation"
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description = "<p style='font-size: 16px; font-weight: w600; text-align: center'> <a href='https://praeclarumjj3.github.io/oneformer/' target='_blank'>Project Page</a> | <a href='https://arxiv.org/abs/2211.06220' target='_blank'>ArXiv Paper</a> | <a href='https://github.com/SHI-Labs/OneFormer' target='_blank'>Github Repo</a></p>" \
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+ "<p style='font-size: 12px; text-align: center' margin: 10px font-weight: w300; text-align: center'> <a href='https://praeclarumjj3.github.io/' target='_blank'>Jitesh Jain<sup>*</sup></a> <a href='https://chrisjuniorli.github.io/' target='_blank'>Jiachen Li<sup>*</sup></a> <a href='https://www.linkedin.com/in/mtchiu/' target='_blank'>MangTik Chiu<sup>*</sup></a> <a href='https://alihassanijr.com/' target='_blank'>Ali Hassani</a> <a href='https://www.linkedin.com/in/nukich74/' target='_blank'>Nikita Orlov</a> <a href='https://www.humphreyshi.com/home' target='_blank'>Humphrey Shi</a></p>" \
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+ "<p style='text-align: center; font-size: 14px; font-weight: w300;'> \
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OneFormer is the first multi-task universal image segmentation framework based on transformers. Our single OneFormer model achieves state-of-the-art performance across all three segmentation tasks with a single task-conditioned joint training process. OneFormer uses a task token to condition the model on the task in focus, making our architecture task-guided for training, and task-dynamic for inference, all with a single model. We believe OneFormer is a significant step towards making image segmentation more universal and accessible.\
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</p>" \
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+
+ "<p style='text-align: center; font-size: 14px; font-weight: w300;'> [Note: Inference on CPU may take upto 2 minutes. On a single RTX A6000 GPU, OneFormer is able to inference at more than 15 FPS.</p>"
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# description = "<p style='color: #E0B941; font-size: 16px; font-weight: w600; text-align: center'> <a style='color: #E0B941;' href='https://praeclarumjj3.github.io/oneformer/' target='_blank'>Project Page</a> | <a style='color: #E0B941;' href='https://arxiv.org/abs/2211.06220' target='_blank'>OneFormer: One Transformer to Rule Universal Image Segmentation</a> | <a style='color: #E0B941;' href='https://github.com/SHI-Labs/OneFormer' target='_blank'>Github</a></p>" \
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# + "<p style='color:royalblue; margin: 10px; font-size: 16px; font-weight: w400;'> \
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