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Dmitry Ulyanov DmitryUlyanov Skoltech Moscow https://twitter.com/DmitryUlyanovML Co-Founder at in3D, Phd @ Skoltech

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

DmitryUlyanov/AGE 269

Code for the paper "Adversarial Generator-Encoder Networks"

ddtm/dl-course 102

DL Course Materials

DmitryUlyanov/IDAO 21

Files for IDAO competitors

DmitryUlyanov/large-image-viewer 15

Browser-based image viewer with a support of arbitrary large images

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Sergiu

commit sha ad0045a79e43837db4b09021b6a32d909043266a

Add license to setup.py

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Dmitry Ulyanov

commit sha 11b0cd7df072ae6ba76c7d92d2530142cf1c4304

Merge pull request #72 from sergiuser1/patch-1 Add license to setup.py

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PR merged DmitryUlyanov/Multicore-TSNE

Add license to setup.py
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sergiuser1

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startedprolearner/hypertorch

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startedvsitzmann/siren

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startedDiolinux/PhotoGIMP

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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 notifications@github.com 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 .

DmitryUlyanov

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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: 00000

And with FFMpeg 00001

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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Vishal Sharma

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fixing typo

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Dmitry Ulyanov

commit sha 68728a4127712f4991bd2454582d0918634758bf

Merge pull request #16 from vishalshar/patch-1 fixing typo

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PR opened cnr-isti-vclab/meshlab

Fix openMP related crash

Fixes https://github.com/cnr-isti-vclab/meshlab/issues/716

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commit sha 1116b251617bc87ed79624b6dd54515895055748

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 ?

DmitryUlyanov

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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?

lucadealfaro

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Update point_based_graphics.html

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Update image_compare_point_based.html

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startedhediet/vscode-drawio

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Update image_compare_point_based.html

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