ssd_keras
SSD-pytorch
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ssd_keras | SSD-pytorch | |
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4 | 6 | |
1,846 | 159 | |
- | - | |
0.0 | 0.0 | |
almost 2 years ago | about 3 years ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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ssd_keras
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Shared weights between different implementations
Yeah, the order of axes was different between those 2. Another guy used https://github.com/pierluigiferrari/ssd_keras https://github.com/uhfband/keras2caffe/blob/master/keras2caffe/convert.py probably not much actual use but maybe some more reassurance?
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Simplest way to deploy Keras NN model into C++?
Don't know about simplest, but we either used caffe or tensorrt, it is maybe a bit difficult to use but I'd actually say simple fast GPU inference is what it's geared towards. There is a keras -> caffe converter https://github.com/pierluigiferrari/ssd_keras here, I think. Caffe is a c++ lib, typical, with dependencies and all. I've never heard anything of tensorflow running on c++. But with tensorrt you should get an "artifact" that you'd load, no matter where it comes from
SSD-pytorch
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Tracking mentions began in Dec 2020.
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