Megvii-BaseDetection / Megvii-BaseDetection/YOLOX

关于TensorRT的问题

Open
#409 1 comment 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Python
Stars
10.6k
Forks
2.5k
PR merge metrics
No merged PRs in 30d

Description

你好,我想问下测速时是否使用tensorrt?我测的速度相比benchmark table给出的速度要慢很多,以下是我的测试结果,使用的是benchmark table的模型参数
yolox_s
YOLOx_s-val结果
yolox_m
YOLOx_m-val结果
yolox_l
YOLOx_l-val结果
yolox_x
YOLOx_x-val结果

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with the benchmark table and the reported yolox_s, yolox_m, yolox_l, and yolox_x results in the issue. Determine whether the benchmark timings use TensorRT and compare the testing conditions with those shown in the attached results. Done means the benchmark setup and explanation for the speed difference are clearly documented.

Written by the indexing model from the issue text.

Assessment

Domain
machine-learning, performance
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.