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When I‘m training a DSOD model on VOC 07+12 by `python examples/dsod/DSOD300_pascal.py`，I encounter
> Traceback (most recent call last):
File “examples/dsod/DSOD300_pascal.py”, line 380, in
DSO…
Jngwl updated
5 years ago
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System information (version)
OpenCV => 4.0
Operating System / Platform => Windows 10 / 64 Bit
Compiler => Visual Studio 2015
Detailed description
Hi,
I have found a reliable mode…
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I was trying to train the DSODSL512 model using my own data, which is in ICDAR-FST2015 data format.
So, when I tried to train the other models (TB, DSOD) using the same GTUtility and InputGenerators,…
ghost updated
5 years ago
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So I'm having this weird issue where I load the mod successfully and load into a world, but the mod and all the items for it just don't exist. Like the mod and source are in my mods folder, but the mo…
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## Description
I want to reduce gpu memory costing when using gluon, I tryed MXNet memonger but it did not work for me, After that I setting os.environ['MXNET_BACKWARD_DO_MIRROR'] = '1', But it not…
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Hi, I'm very surprised by your results and interested in your implementation.
I notice that you provide the trained models FPNSSD512.
Would you mind to give an instruction on how to train FPNSSD512 …
D-X-Y updated
6 years ago
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[](https://github.com/szq0214/DSOD/issues/10)
I want to know how to train ssd from scratch to achive 73mAP?Can you tell me what is the batch-size,learning-rate,and another tricks?
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sorry for bothering you, can you tell me when the code open to public? Thank you very much for your work. It's a great help to me
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when i have the trained model , but i want to use the python code to do detection.
can someone tell me how to do inference on one image using trained model?
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I have modified the cfg file to have a custom base network, followed by the last convolution layer(with linear activation) and the `region` layer.
My base network returns an output of the same size …