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I have installed ncnn and ran the ncnn examples but while running the build on the yolov8seg.cpp, i get the following error.
```
[ 50%] Linking CXX executable ncnn-yolov8s-seg
/usr/bin/ld: canno…
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I test the 20 layers sphereface network on my own database,then test the features on tSNE that generate by sphereface.But the result on tSNE doesn't perform better than the lcnn model.However it perf…
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/home/huang/lcnn/Clust/src/../ARecog/featureExByCaffe.h:118:9: error: ‘caffe::Net’ is not a template
caffe::Net *network;
^
/home/huang/lcnn/Clust/src/../ARecog/featureExByCaffe.h: In co…
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Is it possible to train the LA system (Baseline-LFCC-LCNN) using other input features in htk format?
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Hello,
I have been working with the train.py and trying to reproduce some of the results that you have had. I had some questions though.
1. First I wanted to know how long it took to run train.py? …
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Can you guide me with regards to TinyImagenet Training.We are not able to run it due to the code requiring all the images of imagenet12
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Hello! when I try to train LCNN+LFCC ,I meet some problems.
The first problem : In FakeAVCeleb_v1.2 dataset, after I convert the MP4 format to MP3 format,it may go wrong as picture_1.But when I conve…
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I don't quite understand why the predicted value is chosen at the index of FAKEID,Can you help explain it? Thank you very much`y_score1.extend([probs[i, FAKEID].item() for i in range(probs.size(0))])…
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Theoretically, It would feasible to use the same concepts for more complex architecyures like tacotron or deepspeech?
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Hi,
I tried out the algorithm to test on a few streetview images and am getting shorter heights than expected.
Learning from the earlier issues on Github, I used the customized 'vps_models/config…