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downloads:cryolo_1 [2019/03/14 14:51] twagner [crYOLO] |
downloads:cryolo_1 [2019/03/18 08:06] twagner [crYOLO] |
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====crYOLO==== | ====crYOLO==== | ||
- | Version: 1.3.0 | + | Version: 1.3.1 |
- | Uploaded: | + | Uploaded: |
- | [[ftp:// | + | [[ftp:// |
====crYOLO boxmanager==== | ====crYOLO boxmanager==== | ||
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* < | * < | ||
* < | * < | ||
- | * Issue 13: After picking it can happen that some of the boxes are not fully immersed in the image. Will be fixed in 1.2.4. | + | * <del>Issue 13: After picking it can happen that some of the boxes are not fully immersed in the image. Will be fixed in 1.2.4.</ |
- | * Issue 14: Parallelization in filament mode is broken. Will be fixed in 1.2.4. | + | * <del>Issue 14: Parallelization in filament mode is broken. Will be fixed in 1.2.4.</ |
+ | * Issue 15: If the --gpu_fraction is used, crYOLO always uses GPU 0. Will be fixed in 1.3.1. | ||
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Picking with crYOLO is also quite fast on the CPU. On my local machine (Intel i9) it takes roughly 1 second per micrograph and on our low-performance notebooks (Intel i3) 4 seconds. | Picking with crYOLO is also quite fast on the CPU. On my local machine (Intel i9) it takes roughly 1 second per micrograph and on our low-performance notebooks (Intel i3) 4 seconds. | ||
- | Training crYOLO is much more computational expensive. Training a model from scratch on my local machine take 34 minutes per epoch on the CPU. Given that you often need 25 epochs until convergence it is a task to do overnight (~ 12 hours). However, you might want to try refining the general model, which takes 12 minutes per epoch (~ 5 hours). | + | Training crYOLO is much more computational expensive. Training a model with 14 micrographs |
**Here is how you prepare your crYOLO setup for using it on the CPU:** | **Here is how you prepare your crYOLO setup for using it on the CPU:** |