Training custom object detection model: /bin/bash: ./darknet: No such file or directory, or /bin/bash: ./darknet: Is a directory on Google Colab

user_14324004 0
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I tried to train the custom object according to https://www.youtube.com/watch?v=mmj3nxGT2YQ&t=1747s. In the training part when i run this code on my colab

!./darknet detector train data/obj.data cfg/yolov4-obj.cfg yolov4.conv.137 -dont_show -map

I get errors like:

/bin/bash: ./darknet: No such file or /bin/bash: ./darknet: Is a directory

What shoul i do?

darknet object-detection yolo google-colaboratory deep-learning
3 Answers

run !make before running the command (for colab)

user_120451120

I had the same problem, I used "pwd" just before to run that line, I noticed that i was in a diferent directory (I was out Darknet folder). So I changed folder path with "cd" to go to darknest folder an run the line again.

user_147968370

The following steps are to be followed for custom object detection training with Yolo on colab:

# clone darknet from github to create a darknet folder inside /content on colab
!pwd
# /content/darknet
!make
# modify Yolo cfg, copy images etc. and make the training data ready
!pwd
# /content/darknet
# now train
!./darknet detector train data/obj.data cfg/yolov4-obj.cfg yolov4.conv.137 -dont_show -map
user_47061710
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