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I am wondering how you obtain a SwiftNetRN-18 model with only 11.8M parameters? Even the most original ResNet-18 based FCN32s for Cityscapes dataset contains near 11.8M parameters. From the paper _In …
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`GroundedSchemeNode` functions are required to return some result and they cannot return `Handle::INVALID` because execution code calls methods on returned value: https://github.com/opencog/atomspace/…
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@AvivSham Thank you for your reply! Not the test image. The image I am using is in jpg format and the image size is 266*200.I didn't train the new model, I used the model you provided.I modified your…
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Hello!
Thank you for your codes. The architecture works great on images. But when I tried to test on videos to implement real-time semantic segmentation the result was unsatisfactory. I used opencv t…
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I'm recently trying to utilize BLIS microkernels for implementing some antisymmetric matrix operations. I read the KernelsHowTo.md but still have no idea on how to tag the packed memory and call `((dg…
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Hello!
First of all, thanks for your work.
I have created a new dataset with the same structure as the ADE20k dataset, I trained the model with 2 classes, test it and it works very well. The probl…
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It was working fine with all the models, and then I modified the demo.py for offline video frames segmentation, this was working fine as well and when I started testing again and again now it is showi…
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A network with high performance, good accuracy and small number of params.
DABNet: Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation:
https://arxiv.org/abs/1907.11357v1
Pytor…
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Hello,
I want to test your research on a real drone, and I'm wondering that images from monocular camera can be used on your research, because semantic segmentation can be built from RGB images, and…
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Hello,
I'm thinking about adding a plot.BTM function to my BTM package using ggraph. BTM is good for clustering text (https://cran.r-project.org/web/packages/BTM/index.html).
In order to have a go…