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# Overview
Reading [Simultaneous Object Detection and Semantic Segmentation](https://arxiv.org/abs/1905.02285)
Abstract
> Both object detection in and semantic segmentation of camera imag…
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Create datasets that can be used for consistent DeepSSM benchmarking.
Training data must include:
- Original and groomed images
- Original and groomed shapes (meshes or binary segmentations)
- …
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Can you explain a little bit more about how to convert .off to .obj ?
I'm trying to use other dataset ( [Princeton Segmentation Benchmark](https://segeval.cs.princeton.edu/public/Download/MeshsegBen…
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Really good article guys, I have the RTX 2070 here and I would like to run the test, I have installed your stack from your website, the only thing that I do after installation is updating the Nvidia d…
ghost updated
5 years ago
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run.sh: line 186: 9762 Segmentation fault (core dumped) CUDA_VISIBLE_DEVICES=${gpu} ${NEURALSP_ROOT}/neural_sp/bin/asr/train.py --corpus aishell1 --config ${conf} --config2 ${conf2} --n_gpus ${n…
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```
$ ../run/john --stress-test=0 -form:mscash2-opencl
GPU memory at start: 205 MiB
#1 Testing: mscash2-opencl, MS Cache Hash 2 (DCC2) [PBKDF2-SHA1 OpenCL]... Device 1: GeForce RTX 2080 Ti
PASS
…
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Hi,
Firstly, thanks for developing a brilliant and easy to use tool! Apologies in advance for the information dump.
I've been developing a snakemake pipeline (initially based on your example) t…
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@thuhoainguyen Please write here (or attach the file) about thesis objectives. I will help you with the code but I need to understand the objectives...
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Hey,
first of all I wanted to express how impressed I'm about your work.
I wondered if you could release a mapping for the segmentation you provided in the FMB dataset.
By that I mean sth. li…
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### Describe the issue linked to the documentation
big changes have resulted in a lot of broken links, this is the output from sphynx generated by @CodeLionX
- [ ] examples/distances/sklearn_d…