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BEVDet implemented by TensorRT, C++; Achieving real-time performance on Orin

active 2023-08-152026-01-30 (UTC)

Partial coverage20,547 / 26,300 hourly files (78%) · 2 absent upstream · 5,750 failed, retryable2023-08-152026-08-14 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
203
Pushes
2
Pull requests
0
Issues
13
Stars
129
Forks
26

Activity over time

Daily event counts in the loaded window

Line chart, 900 days from 2023-08-15 to 2026-01-30. Pushes: 2 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 13 total, peak 2 in a day. Comments: 31 total, peak 7 in a day. Stars: 129 total, peak 4 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

ContributorContributionsPushesPRsComments
LCH123810208
yhwang-hub4004
persuelx4004
TGpastor3001
vilon8882002
YoushaaMurhij2001
next-gen-machine2001
linClubs2001
lucianzhong2001
warbrain2001
pjpanadas1000
CN-Antonio1001
taoxunqiang1001
FengD1001
CXT-6661001
scuizhibin1000
Elaine-Blue1000
zbl-961001
tyomj1000
lyxbyr1001

Recent activity

Latest issues, pull requests and releases

  • Issue comment#28persuelx2025-03-11 02:29
    自定义数据集使用单阶段模型进行推理时,如何完成从pth到onnx模型的转换
  • Issue comment#25persuelx2025-03-11 01:47
    Failed to convert .pth model to .onnx
  • Issue comment#31CN-Antonio2025-02-08 17:47
    Error Code 3: API Usage Error 报错
  • Issue#30Elaine-Blue2024-12-17 07:48
    A question about inference speed
  • Issue#29Xiao-Hu-Z2024-12-13 04:08
    orin libjpeg
  • Issue comment#6persuelx2024-11-27 02:42
    nusence-mini data_infos
  • Issue comment#6persuelx2024-11-27 01:57
    nusence-mini data_infos
  • Issue comment#18FengD2024-10-16 06:19
    CMake Error at bevdemo_generated_iou3d_nms.cu
  • Issue comment#21vilon8882024-08-21 02:42
    目前模型fp32和fp16效果正常,int8下效果下降很多,这个正常么
  • Issue comment#27lyxbyr2024-04-30 05:20
    export_onx_onnx.py导出的合一版本onnx,转换tensorrt后推理,只检测出了2个object,实际上应该是100个左右
  • Issue comment#27vilon8882024-04-30 01:12
    export_onx_onnx.py导出的合一版本onnx,转换tensorrt后推理,只检测出了2个object,实际上应该是100个左右
  • Issue#26scuizhibin2024-04-19 03:37
    bevdet4d tensorrt推理时间是多少?
  • Issue comment#19taoxunqiang2024-03-29 02:36
    How to do quantization to int8 model of img_stage_lt_d.onnx and bev_stage_lt_d.onnx?
  • Issue comment#12zbl-962024-03-28 03:14
    请问关于算法输入是RGB格式还是BGR格式?
  • Issue comment#22warbrain2023-12-13 03:39
    TypeError: tuple indices must be integers or slices, not tuple
  • Issue#22warbrain2023-12-13 03:39
    TypeError: tuple indices must be integers or slices, not tuple
  • Issue comment#17ou5252023-11-09 06:01
    Want to infer using real time camera
  • Issue#21pjpanadas2023-10-19 03:52
    目前模型fp32和fp16效果正常,int8下效果下降很多,这个正常么
  • Issue comment#20LCH12382023-10-08 16:37
    one分支导模型出现问题`BEVDepth4DTRT is not in the models registry`
  • Issue comment#20linClubs2023-09-15 02:19
    one分支导模型出现问题`BEVDepth4DTRT is not in the models registry`
  • Issue#20linClubs2023-09-15 01:55
    one分支导模型出现问题`BEVDepth4DTRT is not in the models registry`
  • Issue comment#19LCH12382023-09-13 08:46
    How to do quantization to int8 model of img_stage_lt_d.onnx and bev_stage_lt_d.onnx?
  • Issue#19avBuffer2023-09-09 07:24
    How to do quantization to int8 model of img_stage_lt_d.onnx and bev_stage_lt_d.onnx?
  • Issue comment#18YoushaaMurhij2023-09-04 09:56
    CMake Error at bevdemo_generated_iou3d_nms.cu
  • Issue#18YoushaaMurhij2023-09-04 09:56
    CMake Error at bevdemo_generated_iou3d_nms.cu

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 129 stars here means stars gained during the window, not the repo's star count.