KO
|
EN
gitlite — search
Search
#python
#java
#python3
#arduino
#golang
#machine-learning
#rust
#html
#flask
#javascript
#seismology
#nodejs
deep_loco
★ 13
Open GitHub ↗
sample implementation of deeploco
Download README (.md)
Explore Similar Repositories
QA
:
问答系统
Understanding-Numpy
:
This repository explores various Numpy commands which are quite useful for working with datasets and handling array operations.
MillionSongDataset
:
No description available.
Recyclerview
:
Recyclerview第一个item放大
RCStickerView
:
Add a label, image, another custom view as a sticker view.
// repository documentation
Was this content helpful?
★ 0
(0 ratings)
Select Rating:
★
★
★
★
★
Submit Feedback
Recent Feedback
×
Download README
Do you want to download the
README.md
file for
deep_loco
?
Download (.md)
# deep_loco A sample implementation of [deeploco](https://www.biorxiv.org/content/early/2018/02/16/267096). train_script.py trains a neural net to do localization using simulated data generated from a z-stack from the 2016 SMLM challenge. You'll need a machine with a (reasonably) powerful GPU to train quickly (set use_cuda=True). To try this on a new dataset you'll need a z-stack (see empirical_sim.py) and to make sure that the simulated data looks as similar as possible to the real data. This could be quite difficult: you'll need to adjust many hardcoded values in empirical_sim.py, as well as the generative model settings (in train_script.py). You might also need to modify the learning rate schedule of the network. localize.py gives an example of how to use a pretrained network to do localization.
