Imagenet Pre-trained model for other Depth Multiplier
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Description
On the mnasnet model under mnasnet.py file, the link provided for imagenet pretrained model is only for two depth multiplier, as shown in the code below:
_MODEL_URLS = {
"mnasnet0_5":
"https://download.pytorch.org/models/mnasnet0.5_top1_67.823-3ffadce67e.pth",
"mnasnet0_75": None,
"mnasnet1_0":
"https://download.pytorch.org/models/mnasnet1.0_top1_73.512-f206786ef8.pth",
"mnasnet1_3": None
}
Can you provide the link for Imagenet pre-trained model for mnasnet0_75 and mnasnet1_3?
Contributor guide
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.
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Research direction
Start in mnasnet.py at the _MODEL_URLS mapping and inspect how pretrained weights are selected for mnasnet0_75 and mnasnet1_3. Add valid ImageNet model links for those variants, then verify that the corresponding pretrained-model loading path resolves them successfully.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 35/100