DCVC-FM model is only applicable to datasets converted using the BT.709 standard under RGB test conditions?
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Bug
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- machine-learning
Research direction
No file, test, or entry point is identified in the issue. Start by reproducing the DCVC-FM and DCVC-DC comparison on ffmpeg-converted YUV420P-to-PNG datasets under RGB conditions, then establish whether the result depends on BT.709 conversion and document the confirmed evaluation behavior.
Written by the indexing model from the issue text.
Description
Thank you for the released codes and models; they have significantly helped my research! However, I have encountered some confusion during the evaluation.
Most previous approaches have adopted PNG datasets extracted using ffmpeg software during the conversion from YUV420P to PNG. I tested both the DCVC-DC and DCVC-FM models on these datasets that were converted with ffmpeg. It was observed that the DCVC-FM model performed significantly worse under the same Group of Pictures (GOP) length of 32 in RGB test conditions, with the exception of the HEVC Class E dataset.
Has anyone else encountered this issue?
I conjecture the reason maybe that neural networks are easily fitted to data processing during training, considering that the training color conversion adheres to the BT.709 standard. However, traditional codecs perform consistently across different color conversion approaches.
- Dominant language
- Python
- Stars
- 829
- Forks
- 138
- PR merge metrics
- No merged PRs in 30d
Getting set up
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
More from microsoft/DCVC
-
Difficulty 2/5 1-3 hours Newbie friendliness 68/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 45/100
-
Difficulty 4/5 3-5 days Newbie friendliness 45/100
-
Difficulty 5/5 Over a week Newbie friendliness 25/100
-
Difficulty 4/5 3-5 days Newbie friendliness 35/100
Similar issues
-
New InternshipOpennew_internship
Difficulty 1/5 Under an hour Newbie friendliness 70/100
-
[BUG] Reports tab: "Unban" button tooltip shows raw `{{ip}}` placeholder instead of the IP addressOpenbug javascript ui
Difficulty 2/5 1-3 hours Newbie friendliness 68/100
bunkerity/bunkerweb#4001 · 1 comment ·
Maintainers usually reply within 1 day
-
bug
Difficulty 1/5 Under an hour Newbie friendliness 92/100
PedestrianDynamics/pyFDS-Evac#476 ·
Maintainers usually reply within 1 day
-
Difficulty 2/5 1-3 hours Newbie friendliness 72/100
google/differential-privacy#516 ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 82/100
adobe-fonts/source-serif#153 ·