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Thank you for your great work and this is very exciting to try it out and see if depth and normal supervision can help with floaters in my own dataset.
The thing I'm trying to figure out is that, …
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**Is your feature request related to a problem? Please describe.**
No recipe template exists for creating FlatField from L1 data.
**Describe the solution you'd like**
A recipe template needs…
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In the README I don't see how this can be transferred to ones individual data set. Any guidance would be appreciated here!
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Can you give a mini-tutorial on how to train this model and use it to predict bounding-boxes, on your own data. (given 20,000 images with bounding boxes, of objects not in ImageNet/coco). Just a few …
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**Is your feature request related to a problem? Please describe.**
No recipe template exists for creating a K-Gain calibration file from L1 data.
**Describe the solution you'd like**
A recip…
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### Title
DataCat: "bring your own data" and auto-generate user-friendly data catalogs
### Short description and the goals for the OHBM BrainHack
#### Summary
Do you want to learn how to g…
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“What you can do, however, is you can train the net a bit more using your own data. Just prepare one or two starless images from your data and run training for 20 epochs or so. This should significant…
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Firstly,I sincerely appreciate your source data.
Now, I face a problem,i want to use own dataset. How can I get the file like
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You can get floor split times off the API at `.data.best.record.results.stats.zenith.splits[]` or `.data.record.record.results.stats.zenith.splits[]` (may not exist if they haven't played this week) i…
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Hello, How do I use your pretrained model and finetune on my own data. I downloaded your models and arranged my data as suggested. Should I use python train.py --saved_model pretrained_model? Where sh…