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e235c1a824
* Support progressive test with fewer memory cost. * Temp code * Using processor to refactor evaluation workflow. * refactor eval hook. * Fix process bar. * Fix middle save argument. * Modify some variable name of dataset evaluate api. * Modify some viriable name of eval hook. * Fix some priority bugs of eval hook. * Depreciated efficient_test. * Fix training progress blocked by eval hook. * Depreciated old test api. * Fix test api error. * Modify outer api. * Build a sampler test api. * TODO: Refactor format_results. * Modify variable names. * Fix num_classes bug. * Fix sampler index bug. * Fix grammaly bug. * Support batch sampler. * More readable test api. * Remove some command arg and fix eval hook bug. * Support format-only arg. * Modify format_results of datasets. * Modify tool which use test apis. * support cityscapes eval * fixed cityscapes * 1. Add comments for batch_sampler; 2. Keep eval hook api same and add deprecated warning; 3. Add doc string for dataset.pre_eval; * Add efficient_test doc string. * Modify test tool to compat old version. * Modify eval hook to compat with old version. * Modify test api to compat old version api. * Sampler explanation. * update warning * Modify deploy_test.py * compatible with old output, add efficient test back * clear logic of exclusive * Warning about efficient_test. * Modify format_results save folder. * Fix bugs of format_results. * Modify deploy_test.py. * Update doc * Fix deploy test bugs. * Fix custom dataset unit tests. * Fix dataset unit tests. * Fix eval hook unit tests. * Fix some imcompatible. * Add pre_eval argument for eval hooks. * Update eval hook doc string. * Make pre_eval false in default. * Add unit tests for dataset format_results. * Fix some comments and bc-breaking bug. * Fix pre_eval set cfg field. * Remove redundant codes. Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com>
10 lines
394 B
Python
10 lines
394 B
Python
# optimizer
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optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0005)
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optimizer_config = dict()
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# learning policy
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lr_config = dict(policy='poly', power=0.9, min_lr=1e-4, by_epoch=False)
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# runtime settings
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runner = dict(type='IterBasedRunner', max_iters=20000)
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checkpoint_config = dict(by_epoch=False, interval=2000)
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evaluation = dict(interval=2000, metric='mIoU', pre_eval=True)
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