This is the Windows app named OpenCE whose latest release can be downloaded as OpenCEsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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- 7. Muat turun Wine dari repositori perisian pengedaran Linux anda. Setelah dipasang, anda kemudian boleh mengklik dua kali aplikasi untuk menjalankannya dengan Wine. Anda juga boleh mencuba PlayOnLinux, antara muka mewah melalui Wine yang akan membantu anda memasang program dan permainan Windows yang popular.
Wain ialah cara untuk menjalankan perisian Windows pada Linux, tetapi tanpa Windows diperlukan. Wain ialah lapisan keserasian Windows sumber terbuka yang boleh menjalankan program Windows secara langsung pada mana-mana desktop Linux. Pada asasnya, Wine cuba untuk melaksanakan semula Windows yang mencukupi dari awal supaya ia boleh menjalankan semua aplikasi Windows tersebut tanpa memerlukan Windows.
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OpenCE
DESCRIPTION
OpenCE is an open source implementation of the paper Cascaded Pyramid Network for Multi-Person Pose Estimation (CVPR 2018) by Yilun Chen, Zhicheng Wang, Yuxiang Peng, Zhiqiang Zhang, Gang Yu, and Jian Sun. The framework provides a complete training and evaluation pipeline for human pose estimation using a cascaded pyramid network (CPN). OpenCE leverages a feature pyramid structure combined with a refinement stage to improve keypoint detection accuracy across multiple scales, particularly for challenging poses in crowded scenes. The repository includes training scripts, pretrained models, and testing code, allowing users to reproduce results reported in the paper. It supports standard human pose estimation benchmarks such as COCO, with configurations optimized for accuracy and efficiency. As an open resource, OpenCE offers researchers and practitioners a strong baseline for pose estimation and a foundation for extending CPN-based methods.
Ciri-ciri
- Implementation of Cascaded Pyramid Network for pose estimation
- Training and evaluation scripts with reproducible results
- Pretrained models available for benchmarking and fine-tuning
- Supports standard datasets such as COCO
- Pyramid feature structure with refinement for improved keypoint accuracy
- Open source baseline for multi-person pose estimation research
Bahasa Pengaturcaraan
MATLAB
Kategori
This is an application that can also be fetched from https://sourceforge.net/projects/opence.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
