Mercurial > repos > PredictPDPS / file comparison
comparison: README.md
README.md
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| 2 # Predictive online optimisation codes for dynamic inverse imaging problems | 2 # Predictive online optimisation codes for dynamic inverse imaging problems |
| 3 | 3 |
| 4 These codes implement the experiments for the 2024 manuscript _"Prediction techniques for dynamic imaging with online primal-dual methods"_ by Neil Dizon, Jyrki Jauhiainen, and Tuomo Valkonen. It is built on top of, and includes the experiments for the 2019 article _“[Predictive online optimisation with applications to optical flow](https://arxiv.org/abs/2002.03053)”_ by [Tuomo Valkonen](https://tuomov.iki.fi). | 4 These codes implement the experiments for the 2024 manuscript _“Prediction techniques for dynamic imaging with online primal-dual methods”_ by Neil Dizon, Jyrki Jauhiainen, and Tuomo Valkonen. It is built on top of, and includes the experiments for the 2019 article _“[Predictive online optimisation with applications to optical flow](https://arxiv.org/abs/2002.03053)”_ by [Tuomo Valkonen](https://tuomov.iki.fi). |
| 5 | 5 |
| 6 ## Prerequisites | 6 ## Prerequisites |
| 7 | 7 |
| 8 These codes were written for Julia 1.9. The Julia package prequisites are from April 2024 when our experiments were run, and have not been updated to maintain the same environment we used to do the experiments in the manuscript. You may get Julia from [julialang.org](https://julialang.org/). | 8 These codes were written for Julia 1.9. The Julia package prequisites are from April 2024 when our experiments were run, and have not been updated to maintain the same environment we used to do the experiments in the manuscript. You may get Julia from [julialang.org](https://julialang.org/). |
| 9 | 9 |
| 39 | 39 |
| 40 or any of `demo_XY()`, where `X`=`known`,`unknown` and `Y`=1,2,3. | 40 or any of `demo_XY()`, where `X`=`known`,`unknown` and `Y`=1,2,3. |
| 41 | 41 |
| 42 ### Experiments for 2024 article | 42 ### Experiments for 2024 article |
| 43 | 43 |
| 44 To generate all the experiments for _"Prediction techniques for dynamic imaging with online primal-dual methods"_, run: | 44 To generate all the experiments for _“Prediction techniques for dynamic imaging with online primal-dual methods”_, run: |
| 45 | 45 |
| 46 > batchrun_predictors() | 46 > batchrun_predictors() |
| 47 > batchrun_shepplogan() | 47 > batchrun_shepplogan() |
| 48 > batchrun_brainphantom() | 48 > batchrun_brainphantom() |
| 49 | 49 |
