MegEngine/PMRID
View on GitHubECCV2020 - Practical Deep Raw Image Denoising on Mobile Devices
- Stars
- 275
- Forks
- 46
- Open beginner issues
- 0
- Indexed issues
- 17
- Dominant language
- Python
- License
- Apache-2.0
- Last GitHub push
- Jan 2, 2021
- Latest indexed
- Sep 19, 2026
- Contributing guide
- No contributing guide
- Code of conduct
- No code of conduct
- Beginner labels
- No beginner labels indexed
- PR merge metrics
- No merged PRs in 30d
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Difficulty 3/5 1-2 days Newbie friendliness 38/100
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Difficulty 4/5 3-5 days Newbie friendliness 28/100
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Difficulty 4/5 3-5 days Newbie friendliness 25/100
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Difficulty 4/5 3-5 days Newbie friendliness 25/100
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Difficulty 1/5 Under an hour Newbie friendliness 25/100
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Difficulty 4/5 3-5 days Newbie friendliness 25/100
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Difficulty 3/5 1-2 days Newbie friendliness 35/100
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Difficulty 5/5 Over a week Newbie friendliness 25/100
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about training data Open
Difficulty 4/5 3-5 days Newbie friendliness 35/100
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Difficulty 4/5 3-5 days Newbie friendliness 15/100
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Difficulty 5/5 Over a week Newbie friendliness 25/100
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python3 run_benchmark.py --benchmark /path/to/PMRID/benchmark.json models/mge_pretrained.ckp没反应 Open
Difficulty 4/5 3-5 days Newbie friendliness 25/100
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The train script Open
Difficulty 5/5 Over a week Newbie friendliness 20/100
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Difficulty 5/5 Over a week Newbie friendliness 20/100
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Difficulty 4/5 3-5 days Newbie friendliness 20/100
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Difficulty 4/5 3-5 days Newbie friendliness 25/100
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Difficulty 2/5 1-3 hours Newbie friendliness 25/100