Fast-BEV_fish
active 2023-08-16 → 2026-05-10 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 999 days from 2023-08-16 to 2026-05-10. Pushes: 2 total, peak 2 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 33 total, peak 2 in a day. Comments: 89 total, peak 27 in a day. Stars: 377 total, peak 5 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
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| venkataramanas1 | 28 | 0 | 0 | 27 |
| LaCandela | 12 | 0 | 0 | 6 |
| ymlab | 7 | 0 | 0 | 6 |
| Byte247 | 6 | 0 | 0 | 3 |
| BaophanN | 5 | 0 | 0 | 4 |
| junshu-z24 | 3 | 0 | 0 | 3 |
| zyh321 | 3 | 0 | 0 | 2 |
| ycdhqzhiai | 3 | 0 | 0 | 1 |
| Terencedu | 3 | 0 | 0 | 2 |
| goodpeter-sun | 2 | 0 | 0 | 2 |
| kokun66 | 2 | 0 | 0 | 2 |
| loserhou | 2 | 0 | 0 | 2 |
| YG256Li | 2 | 2 | 0 | 0 |
| Seyd2 | 2 | 0 | 0 | 1 |
| arnoldfychen | 2 | 0 | 0 | 2 |
| weiyshay | 2 | 0 | 0 | 1 |
| aseemk98 | 2 | 0 | 0 | 1 |
| BubbleCheese | 2 | 0 | 0 | 2 |
| guiyuliu | 2 | 0 | 0 | 1 |
| chr10003566 | 2 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#100trand2k2025-11-07 04:03Projection Matrices for LUT formation
- Issue#102yonger0012025-05-30 06:13How to run on TDA4？
- Issue#101woshini-baba2025-05-19 07:08数据集问题
- Issue comment#91venkataramanas12025-05-13 12:34Problem getting published inference time on single GPU: Compilation of "script/view_tranformation_cuda" or TensorRT necessary?
- Issue comment#49venkataramanas12025-05-13 12:34CUDA error: device-side assert triggered
- Issue comment#61venkataramanas12025-05-13 12:33Running Evaluations
- Issue comment#62venkataramanas12025-05-13 12:33请问能提供训练log吗
- Issue comment#64venkataramanas12025-05-13 12:32ImportError: /home/pratik_likhar/Fast-BEV/mmdet3d/ops/ball_query/ball_query_ext.cpython-38-x86_64-linux-gnu.so: undefined symbol: _ZNK2at6Tensor8data_ptrIfEEPT_v
- Issue comment#65venkataramanas12025-05-13 12:32ModuleNotFoundError: No module named 'petrel_client'
- Issue comment#66venkataramanas12025-05-13 12:32ImportError: cannot import name 'ball_query_ext' from partially initialized module 'mmdet3d.ops.ball_query' (most likely due to a circular import) (Fast-BEV/mmdet3d/ops/ball_query/__init__.py)
- Issue comment#68venkataramanas12025-05-13 12:32Is there any code to calculate the flops?
- Issue comment#71venkataramanas12025-05-13 12:31Why do I need to do a transpose in Anchor 3D head
- Issue comment#74venkataramanas12025-05-13 12:30May we have the license added please? Thank you so much.
- Issue comment#78venkataramanas12025-05-13 12:30Pretrained model size mismatch
- Issue comment#84venkataramanas12025-05-13 12:29Cannot reproduce published performance after training
- Issue comment#79venkataramanas12025-05-13 12:29Could you please share the Resnet101 @900*1600 pth and pretrained model and config file?
- Issue comment#80venkataramanas12025-05-13 12:29Simply project image features to BEV
- Issue comment#81venkataramanas12025-05-13 12:29Fast-BEV with CenterPoint head
- Issue comment#83venkataramanas12025-05-13 12:28Huge memory consumption during training
- Issue comment#84venkataramanas12025-05-13 12:28Cannot reproduce published performance after training
- Issue comment#85venkataramanas12025-05-13 12:28Wrong CenterPoint configs
- Issue comment#91venkataramanas12025-05-13 12:27Problem getting published inference time on single GPU: Compilation of "script/view_tranformation_cuda" or TensorRT necessary?
- Issue comment#92venkataramanas12025-05-13 12:27Issues setting up FastBEV on Colab
- Issue comment#92venkataramanas12025-05-13 12:27Issues setting up FastBEV on Colab
- Issue comment#94venkataramanas12025-05-13 12:26How script/view_transform folder corresponds to the model
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 377 stars here means stars gained during the window, not the repo's star count.