# there may be questions from installer. Refer to Howto Install Redmine on Ubuntu www.redmine.org/projects/redmine/wiki/howto_install_redmine_on_ubuntu_step_by_step for explanation
# Next step is to upgrade all gems. It will take sometime to update all gems.
gem update
# possible error: connection problem.
# example erro message: Updating roadie
ERROR: Error installing roadie:
Unable to resolve dependency: user requested ‘roadie (= 3.5.0)’
Facebook has just introduced a great dataset and corresponding machine learning challenge at same time. The dataset is named LVIS (Large Vocabulary Instance Segmentation).
Today, rigorous evaluation of general purpose object detectors is mostly performed in the few category regime (e.g. 80) or when there are a large number of training examples per category (e.g. 100 to 1000+). LVIS provides an opportunity to enable research in the setting where there are a large number of categories and where per-category data is sometimes scarce. Given that state-of-the-art deep learning methods for object detection perform poorly in the low-sample regime, we believe that our dataset poses an important and exciting new scientific challenge.
Berikut ini siaran pers bersama, yang nampaknya pengumuman resmi paling lengkap sejauh ini tentang bencana tsunami di Selat Sunda.
Siaran Pers Bersama dari lembaga-lembaga berikut:
Badan Informasi Geospasial (BIG) (https://twitter.com/InfoGeospasial)
Kementrian Koordinator Bidang Kemaritiman (https://twitter.com/kemaritiman)
Badan Pengkajian & Penerapan Teknologi (BPPT) (https://twitter.com/BPPT_RI)
BMKG (https://twitter.com/infoBMKG)
Lembaga Ilmu Pengetahuan Indonesia (LIPI) (https://twitter.com/lipiindonesia)
Badan Geologi
Halaman 1Halaman 2Lampiran 1Lampiran
Sumber data ini adalah twitter dari BIG (Badan Informasi Geospasial) dalam format gambar JPG. Sejauh ini belum didapatkan versi PDF ataupun versi website.