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image-classification
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My actions before raising this issue
- Read/searched the docs
- Searched past issues
It looks like in case of a lot of log events (about about 1 million per da
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Can I know what is the size of the Kinetics 400 dataset used to reproduce the result in this repo?
There are many links in Kinetics that have expired. As as result, everyone might not be using the same Kinetics dataset. As a reference, the statistics of the Kinetics dataset used in PySlowFast can be found here, https://github.com/facebookresearch/video-nonlocal-net/blob/master/DATASET.md. However, I cannot seem to find similar information for gluoncv. Will you guys be sharing the statistics and
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resuming training
How do i resume training for text classification?
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Yolov3 slow?
with video_demo.py about 20% speed compared to your 1.0 repo. but thanks much for sharing!
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I'm using this project to train my segmentation model. I find that the mask has a right-down offset to the image. Because the opencv resize_nearest is wrong. Please refer the opencv project issue:
https://github.com/opencv/opencv/issues/9096
https://github.com/opencv/opencv/issues/10146
The code of opencv is:
` for( x = 0; x < dsize.width; x++ )
{
int sx = cv