People-Counting-in-Real-Time
ssd_keras
| People-Counting-in-Real-Time | ssd_keras | |
|---|---|---|
| 2 | 4 | |
| 471 | 1,846 | |
| - | - | |
| 5.2 | 0.0 | |
| 9 months ago | about 2 years ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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People-Counting-in-Real-Time
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Building an occupancy sensor with a $5 ESP32 and a serverless DB
And with more of these, you could track where everyone is all the time!
Here's a camera based video people counter.[1] This is a bit less intrusive.
[1] https://github.com/saimj7/People-Counting-in-Real-Time
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Error when trying to install dlib using "pip install dlib"
I'm trying to install dlib using "pip install dlib" for this code: https://github.com/saimj7/People-Counting-in-Real-Time Because when I try to run it I get this error: ModuleNotFoundError: No module named 'dlib'
ssd_keras
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Failed to get convolution algorithm. This is probably because cuDNN failed to initialize,
In Tensorflow/ Keras when running the code from https://github.com/pierluigiferrari/ssd_keras, use the estimator: ssd300_evaluation. I received this error.
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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
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ValueError: Layer model expects 1 input(s), but it received 2 input tensors. Help?
Tensorflow V1 Keras code (original repo): Github Repo
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