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https://github.com/sensorsini/pycaffejaer
A collection of utilities useful to debug deep-networks trained with Caffe Deep Learning Framework. This utilities can also be used to convert caffe networks into jAER xml format
https://github.com/sensorsini/pycaffejaer
deep-learning deep-neural-networks machine-vision sensors
Last synced: 5 days ago
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A collection of utilities useful to debug deep-networks trained with Caffe Deep Learning Framework. This utilities can also be used to convert caffe networks into jAER xml format
- Host: GitHub
- URL: https://github.com/sensorsini/pycaffejaer
- Owner: SensorsINI
- Created: 2017-07-02T13:02:13.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2017-07-27T14:57:29.000Z (over 7 years ago)
- Last Synced: 2024-11-19T22:32:27.552Z (2 months ago)
- Topics: deep-learning, deep-neural-networks, machine-vision, sensors
- Language: Python
- Homepage:
- Size: 19.5 KB
- Stars: 0
- Watchers: 8
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# pyCaffejAER
A collection of utilities useful to debug deep-networks trained with Caffe Deep Learning Framework.
This utilities can also be used to convert caffe networks into jAER xml format# cnn to xml (caffe to jAER conversion)
$ cnn_to_xml.py
Converts caffe networks into jAER xml format
this script requires command line arguments:
model file -> network.prototxt
weights file -> caffenet.model
OR
if you pass a directory it will look for these files
Example usage:
python python/cnn_to_xml.py caffe_network_directory/ (it looks for .caffemodel and .prototxt)