This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR 2018. (https://arxiv.org/abs/1711.08848).
active 2023-08-19 → 2026-01-28 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 894 days from 2023-08-19 to 2026-01-28. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 2 total, peak 1 in a day. Stars: 94 total, peak 2 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
Recent activity
Latest issues, pull requests and releases
- Issue comment#152kordou2024-02-06 09:35Problem with training it on Google Colab
- Issue#190Rune1o6182023-11-30 15:57Bad Training Results Using the Darknet_conv. Is there some initial configuration that I need to change in order to get better results?
- Issue comment#179TrinhNC2023-08-23 08:36Training multiple objects for same class
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 94 stars here means stars gained during the window, not the repo's star count.