All Questions
10 questions
10
votes
0
answers
786
views
How to train a bounding box detection model?
Apparently, this still isn't possible in v12?
I'd like to add a new class to one of the standard object detection architectures. Consider the YOLO v2 detector from the Neural Net Repo.
...
- 31.8k
6
votes
0
answers
170
views
Export ImageCases to Python?
I’d like a tutorial on how to export a bounding box detector network to mxnet, (for bonus points: convert to Tensorflow), and then get it running correctly in python!
Some related questions exist for ...
- 31.8k
4
votes
1
answer
160
views
How can I reproduce the result of AgeEstimation model in MXNet-Python?
How can I reproduce the result of AgeEstimation model in MXNet-Python?
here is my repo about MXnet-Python codes to load Mathematica Models.
I want the result of Mathematica and the result of MXNet-...
- 8,649
9
votes
3
answers
936
views
Example of NetChain running in MXNet cause Error
Cross post here
Problem remains in Mathematica 11.2
First defining the net
...
- 8,649
4
votes
2
answers
299
views
NetTrain with multi-label data?
I'm attempting to do simple category recommendation on textual data. I have around 20k training samples of the form desc_String -> {tag1_String, tag2_String, ...}...
- 7,993
28
votes
1
answer
2k
views
How to export an MXNet?
I was hoping there was some way to generate the .params and .json file needed to define an MXNet model, from a network trained using NetTrain[] in Mathematica. I ...
- 27.8k
3
votes
0
answers
221
views
Is is a bug when importing MXNet model?
There is a trained net:model.zip
Using Python to make prediction:
...
11
votes
3
answers
994
views
Using Mathematica wlnet model in C++
Suppose if there is a trained net:
SeedRandom[1234];
net = NetInitialize@NetChain[{5, 3}, "Input" -> 2];
It can predict image in mma:
...
- 393
13
votes
2
answers
524
views
Simple example of NetGraph running in MXNet?
There is an great example of exporting a NetGraph (that was trained in Mathematica) into the MXNet's format.
However, I think there's a bug or something is wrong with the answer, because once ...
- 393
3
votes
1
answer
362
views
Custom NetEncoder for lower resolution image input in a pre-trained Inception network
I have come across this neat explanation on how to adjust a pre-trained Inception neural net to an arbitrary number of classes by truncating the top layers.
However, my input data does not come in $...
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