DmitryUlyanov/deep-image-prior 6039
Image restoration with neural networks but without learning.
DmitryUlyanov/Multicore-TSNE 1429
Parallel t-SNE implementation with Python and Torch wrappers.
DmitryUlyanov/neural-style-audio-tf 404
TensorFlow implementation for audio neural style.
DmitryUlyanov/fast-neural-doodle 337
Faster neural doodle
Code for the paper "Adversarial Generator-Encoder Networks"
ddtm/dl-course 102
DL Course Materials
Files for IDAO competitors
DmitryUlyanov/large-image-viewer 15
Browser-based image viewer with a support of arbitrary large images
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issue commentNVIDIA/VideoProcessingFramework
RGB frames extracted with VPF are different to FFmpeg
Hi, the issue is relevant but I don't have time to check YUV now. Thanks for the clarification, I will look for a workaround on the color normalization.
Best, Dmitry
On Wed, Jun 17, 2020 at 11:26 AM Roman Arzumanyan [email protected] wrote:
Hi @DmitryUlyanov https://github.com/DmitryUlyanov Is this issue still relevant?
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/NVIDIA/VideoProcessingFramework/issues/63#issuecomment-645232036, or unsubscribe https://github.com/notifications/unsubscribe-auth/ABTKOZFULCNHVPETI76YXALRXB43JANCNFSM4N5KF2JA .
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issue openedNVIDIA/VideoProcessingFramework
RGB frames extracted with VPF are different to FFmpeg
Describe the bug Hi, I want to process the video frame by frame using pytorch and I followed the example on wiki. Previously I used ffmpeg to extract frames and load them sequentially. I wanted to validate if VPF decodes frames in the same way but it turns out that there is some discrepancy in the appearance.
Here is the frame extracted with VPF:

And with FFMpeg

Please find here the video. And here is the exact code I am running.
Expected behavior The images should be the same
Desktop (please complete the following information):
- OS: Ubuntu 18
- Nvidia driver version 440.82
- CUDA Version 10.2
- Video Codec SDK Version 9.1.23
- Python Version 3.8
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Merge branch 'master' of https://github.com/hse-aml/competitive-data-science
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Merge branch 'master' of https://github.com/hse-aml/competitive-data-science
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commit sha 1be0e9e5a7b5a33ad769a38bc0e6366dcf999707
fixing typo
commit sha 68728a4127712f4991bd2454582d0918634758bf
Merge pull request #16 from vishalshar/patch-1 fixing typo
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PR opened cnr-isti-vclab/meshlab
Fixes https://github.com/cnr-isti-vclab/meshlab/issues/716
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Update shared.pri fixes https://github.com/cnr-isti-vclab/meshlab/issues/716
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issue commentcnr-isti-vclab/meshlab
undefined symbol: GOMP_parallel
Should -fopenmp be added here https://github.com/cnr-isti-vclab/meshlab/blob/master/src/shared.pri#L13 ?
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issue openedcnr-isti-vclab/meshlab
undefined symbol: GOMP_parallel
Check all platforms you experienced the issue (change to [x])
- [ ] Windows
- [ ] Mac OS
- [x ] Linux
- [ ] Every platform
What type of issue is?
- [ ] bug or unexpected behavior
- [x] crash
- [ ] feature request
- [ ] other (specify...)
Describe your issue
I get error message
/home/dmitry/meshlab_portable/meshlab: symbol lookup error: /home/dmitry/meshlab_portable/plugins/libfilter_select.so: undefined symbol: GOMP_parallel
Whenever I click "select outliers" filter. The problem is in openMP linking. I previously submitted a PR for another filter: https://github.com/cnr-isti-vclab/meshlab/pull/649 but I don't know where to set the flag for this filter. There should be a one-line fix this issue.
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issue openedpytorch/pytorch
Make torch.cross `dim` parameter work intuitively
Hi PyTorch team,
Thanks a lot for maintaining such a great library.
Problem
torch.cross has dim arg, and by default dim=-1. However, it turns out, that if dim is not set, that dim is chosen to be the first dimension of size 3. This is very weird for me as a user and I spent half a day looking for a bug because I did not read the doc in full.
Solution
Either to set default dim to None pushing the reader to go further in docs to understand what it means. A better way would be to remove "first dimension of size 3" thing and just use dim parameter.
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issue commentNVIDIA/DALI
Enable VideoReader to read variable frame-rate videos via flag
HI @a-sansanwal , any progress on this one?
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