mmclassification/tests
Ezra-Yu b486bb23f8
[Feature] Add a tool to visualize learning rate in each iterations (#498)
* add vis lr

* add doc

* Update doc and rm load_json_log in analysis

* Update docs

* add unit tests and update docstring

* fix unit-tests

* Use DummyIterBasedRunner and DummyEpochBasedRunner to simulate training
process.

* rm function val and add judge

* update docs

* improve english expression

* Update docs/tools/visualization.md

Co-authored-by: Ma Zerun <mzr1996@163.com>

* fix typo and ImageNet datasize

* fix typo

* update example

Co-authored-by: mzr1996 <mzr1996@163.com>
2021-11-03 10:48:56 +08:00
..
data [Feature] Add a tool to visualize learning rate in each iterations (#498) 2021-11-03 10:48:56 +08:00
test_data [Feature] Support ImageNet21k dataset. (#461) 2021-10-28 15:22:08 +08:00
test_downstream
test_metrics [Feature] Add seesaw loss. (#500) 2021-10-27 10:11:59 +08:00
test_models [Feature] Add Tokens-to-Token ViT backbone and converted checkpoints. (#467) 2021-10-29 10:37:16 +08:00
test_runtime
test_utils [Feature] Add a tool to visualize learning rate in each iterations (#498) 2021-11-03 10:48:56 +08:00