I want to detect 9 objects all of which are clothes. So I wanted to use yolov5. I wanted to train using the pretrained yolov5x.pt weights. I changed the number of categories in the yolov5x.yaml and clothing_data.yaml to 9. When I try to train the custom dataset by the following :
!python train.py --img 640 --batch 4 --epochs 100 --data ./data/clothing.yaml --cfg models/yolov5x.yaml --weights yolov5x.pt --name yolov5x_clothing --cache
It shows the error.
KeyError: 'model.18.conv.weight'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "train.py", line 404, in <module>
train(hyp)
File "train.py", line 122, in train
raise KeyError(s) from e
KeyError: "yolov5x.pt is not compatible with models/yolov5x.yaml. Specify --weights '' or specify a --cfg compatible with yolov5x.pt."
I don't know what to do here. I cloned the repo of yolov5 using
!git clone https://github.com/ultralytics/yolov5
%cd yolov5
!git checkout ec72eea62bf5bb86b0272f2e65e413957533507f
Is there something I am missing here? Please let me know. Thanks in advance.