docker-cuda-demo
By syamaner
HR-VITON
Official PyTorch implementation for the paper High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions (ECCV 2022). (by sangyun884)
docker-cuda-demo | HR-VITON | |
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1 | 2 | |
0 | 789 | |
- | - | |
10.0 | 4.1 | |
about 1 year ago | 5 months ago | |
Dockerfile | Python | |
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The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
docker-cuda-demo
Posts with mentions or reviews of docker-cuda-demo.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-12.
HR-VITON
Posts with mentions or reviews of HR-VITON.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-12.
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Accelerate Machine Learning Local Development and Test Workflows with Nvidia Docker
FROM tensorflow/tensorflow:1.15.5-gpu-py3 # Handle Nvidia public key update and update repositories for Ubuntu 18.x. #https://github.com/sangyun884/HR-VITON/issues/45 # reference: https://jdhao.github.io/2022/05/05/nvidia-apt-repo-public-key-error-fix/ RUN rm /etc/apt/sources.list.d/cuda.list RUN rm /etc/apt/sources.list.d/nvidia-ml.list RUN apt-key del 7fa2af80 # Additional reference: https://gitlab.com/nvidia/container-images/cuda/-/issues/158 RUN export this_distro="$(cat /etc/os-release | grep '^ID=' | awk -F'=' '{print $2}')" \ && export this_version="$(cat /etc/os-release | grep '^VERSION_ID=' | awk -F'=' '{print $2}' | sed 's/[^0-9]*//g')" \ && apt-key adv --fetch-keys "https://developer.download.nvidia.com/compute/cuda/repos/${this_distro}${this_version}/x86_64/3bf863cc.pub" \ && apt-key adv --fetch-keys "https://developer.download.nvidia.com/compute/machine-learning/repos/${this_distro}${this_version}/x86_64/7fa2af80.pub" # get the latest version of OpenCV RUN apt-get update && \ DEBIAN_FRONTEND=noninteractive \ apt-get install -y -qq \ wget git libopencv-dev RUN python -m pip install --upgrade pip && \ pip install matplotlib opencv-python==4.5.4.60 Pillow scipy \ azure-eventhub azure-eventhub-checkpointstoreblob-aio ipykernel WORKDIR /
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Need some suggestions about garment to person virtual try on
Developing a garment to person virtual try on app, by far, the best results I could find is HR-VITON, another one is pasta-gan++(lower resolution, but should be acceptable after scale up). I have studied the papers of Gaugan
What are some alternatives?
When comparing docker-cuda-demo and HR-VITON you can also consider the following projects:
CIHP_PGN - Code repository for Part Grouping Network, ECCV 2018
container-images
PASTA-GAN-plusplus
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
APDrawingGAN - Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)
StyleGAN-Human - StyleGAN-Human: A Data-Centric Odyssey of Human Generation
concept-ablation - Ablating Concepts in Text-to-Image Diffusion Models (ICCV 2023)
docker-cuda-demo vs CIHP_PGN
HR-VITON vs container-images
docker-cuda-demo vs container-images
HR-VITON vs PASTA-GAN-plusplus
docker-cuda-demo vs openpose
HR-VITON vs APDrawingGAN
docker-cuda-demo vs StyleGAN-Human
HR-VITON vs concept-ablation
HR-VITON vs CIHP_PGN
HR-VITON vs openpose
HR-VITON vs StyleGAN-Human