Megvii-BaseDetection / Megvii-BaseDetection/YOLOX

建议提供1个docker镜像或者docker 编译过程

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#44 3 comments 0 reactions 0 assignees View on GitHub

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enhancement
Dominant language
Python
Stars
10.6k
Forks
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Description

复现过程中,发现版本问题太多了,很多不兼容的,比如torch和cuda不兼容,requirements.txt也么有版本号,装上也不能用,o(╥﹏╥)o

Contributor guide

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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 by reviewing requirements.txt and the reported torch/CUDA compatibility problem. Determine which installation path the project can support, then verify that the Docker image or build instructions install the project successfully with compatible versions; the lack of named files beyond requirements.txt means the repository structure must be investigated first.

Written by the indexing model from the issue text.

Assessment

Tech stack
docker, python, pytorch
Domain
build-system, devops, machine-learning
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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