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Can not find the 'metadata.csv' #23

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qinhui99 opened this issue Aug 7, 2018 · 2 comments
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Can not find the 'metadata.csv' #23

qinhui99 opened this issue Aug 7, 2018 · 2 comments

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@qinhui99
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qinhui99 commented Aug 7, 2018

When I run the command 'python main.py -- train--pipeline_name unet', I got the error "Can not find the 'metadata.csv'" . I checked all the files of salt-detection and still can not find it. Did I miss something important?
@areveillon
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in main.py line 20 you can add :

def train(pipeline_name, dev_mode):
pipeline_manager.prepare_metadata()
pipeline_manager.train(pipeline_name, dev_mode)

Prepare_metadata() was never called

@qinhui99
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qinhui99 commented Aug 9, 2018

It works. Thanks.

@qinhui99 qinhui99 closed this as completed Aug 9, 2018
jakubczakon added a commit that referenced this issue Oct 13, 2018
@jakubczakon
Dev (#28)
10af852 
* Hypercolumn (#16)

* fixed lovash loss, added helpers for loss weighing (#14)

* updated results exploration, added unet with hypercolumn

* updated with lighter hypercolumn setup

* Model average (#17)

* added prediction average notebook

* added simple average notebook

* added replication pad instead of zero pad (#18)

* changed to heng-like arch, added channel and spatial squeeze and excite, extended hypercolumn (#19)

* Update unet_models.py

typo in resnet unet fixed

* added resnet 18 an50 pretrained options, unified hyper and vanilla in one class (#20)

* Update models.py

Changed old class import and namings

* Loss design (#21)

* local

* initial

* formated results

* added focal, added border weighing, added size weighing added focus, added loss desing notebook

* fixed wrong focal definition, updated loss api

* exp with dropped borders

* set best params, not using weighing for now

* Dev depth experiments (#23)

* add depth layer in input

* reduce lr on plateau scheduler

* depth channels transformer

* fix reduce lr

* bugfix

* change default config

* added adaptive threshold in callbacks (#24)

* added adaptive threshold in callbacks

* fix

* added initial lr selector (#25)

* Initial lb selector (#26)

* added initial lr selector

* small refactor

* Auxiliary data small masks (#27)

* exping

* auxiliary data for border masks generated
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@qinhui99 @areveillon