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tinyvision / DAMO-YOLO

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.
Apache License 2.0
3.75k stars 470 forks source link

correct typo in install readme.md #141

Open varshneydevansh opened 3 months ago

varshneydevansh commented 3 months ago

resolves the issue

The change directory command in the README.md file has been corrected.

varshneydevansh commented 3 months ago 
 [~]
 yolov5-env  devansh  git clone https://github.com/tinyvision/damo-yolo.git                                                                            [24/05/25| 9:06PM]

cd DAMO-YOLO/

conda create -n DAMO-YOLO python=3.7 -y
conda activate DAMO-YOLO
conda install pytorch==1.7.0 torchvision==0.8.0 torchaudio==0.7.0 cudatoolkit=10.2 -c pytorch
pip install -r requirements.txt
export PYTHONPATH=$PWD:$PYTHONPATH
Cloning into 'damo-yolo'...
remote: Enumerating objects: 646, done.
remote: Counting objects: 100% (126/126), done.
remote: Compressing objects: 100% (37/37), done.
remote: Total 646 (delta 104), reused 95 (delta 89), pack-reused 520
Receiving objects: 100% (646/646), 34.38 MiB | 2.30 MiB/s, done.
Resolving deltas: 100% (386/386), done.

cd: no such file or directory: DAMO-YOLO/

Retrieving notices: ...working... done
Channels:
 - defaults
Platform: linux-64
Collecting package metadata (repodata.json): done
Solving environment: done