Comments (3)
You can randomize, or just use the gluoncv pretrained model for VOC or something (downloads automatically if you don't have it). You may run in to an issue with pretrained if the class vector is different.
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Where do you randomize the weights?? Can you please provide the steps for that?
from gluon-faster-rcnn.
I found the answer for this.
from gluon-faster-rcnn.
Related Issues (9)
- Could you share the training log of your faster rcnn(vgg16)? HOT 2
- Working on Windows with same accuracy HOT 11
- Working with different base net HOT 8
- Issue with demo_faster_rcnn.py script. HOT 9
- How does C++ call the model HOT 2
- Regarding testing accuracy and class score values
- Increasing Accuracy HOT 5
- network is not learning if not hybridized HOT 1
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from gluon-faster-rcnn.