Comments (3)
Don't be afraid to ask basic questions, we all start somewhere.
Currently this repo does not work as I've not yet fixed #3 (comment). I have not yet found the time to commit to fixing it.
With that being said, in order to run this, you'll need a trained YOLOv3 model. The ultralytics repo will work just fine. Once you have a trained model, you simply run python gradcam.py
. The code will then do a forward pass on the trained model and output a localization map of important regions.
- Train model
- Tell
gradcam.py
where the model weights are stored
You will need to change the following lines to reflect where your cfg
and weights are saved, respectively
YOLOv3-GradCAM/gradcam/gradcam.py
Lines 169 to 170 in 6a66a9e
Also be weary of changing to a CPU model instead of CUDA if required.
# @TODO
: I need to add functionality for passing arguments so that editing the code isn't necessary.
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Thank you for your reply.
Thank you so much for showing me how it works.
And I encountered an error as in #3.
It's not something I'm capable of solving, but I'm really looking forward to getting this repository working and I am.
from yolov3-gradcam.
Thank you for your reply.
Thank you so much for showing me how it works.
And I encountered an error as in #3.
It's not something I'm capable of solving, but I'm really looking forward to getting this repository working and I am.
hi,I have the same problem as you,Did you solve it?please help me.
thanks for your help.
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Related Issues (10)
- have you finish this job? HOT 1
- Can you tell me your yolov3 project address? I would like to combine it to see if it is convenient
- weight 'w' did not multiply with feature map HOT 1
- Something's wrong HOT 7
- Which version yolov3? HOT 1
- Potential issue in creation of the target tensor for backpropagation
- Output size of extractor.forward_pass() HOT 1
- I'll need to look into this further as something deeper is broken in the forward pass. For your specific error, you can replace:
- Where can I find programs such as models.py and utils folder? HOT 1
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