Commit Graph

11 Commits (1a7cebe4b90cf72e730a7066267b75561864e811)

Author SHA1 Message Date
LXXXXR ddc2a14177
[Feature] Add --eval-options in test.py (#158)
* add --eval-options in test.py

* fix typo

* revise according to commnets
2021-02-05 17:46:43 +08:00
LXXXXR 13c1210741
[Feature] Add thrs in eval_metrics (#146)
* support thr

* replace thrs with thr

* fix docstring

* minor change

* revise according to comments

* revised according to comments

* revise according to comments

* rewrite basedataset.evaluate to avoid duplicate calculation

* minor change

* change thr to thrs

* add more unit test
2021-01-25 17:54:22 +08:00
LXXXXR 8e990b5654
[Feature] Support support and class-wise evaluation results (#143)
* support support, support class-wise evaluation results and move eval_metrics.py

* Fix docstring

* change average to be non-optional

* revise according to comments

* add more unittest
2021-01-19 16:42:16 +08:00
LXXXXR c07e60dd7d
[Feature] Support PASCAL VOC 2007 dataset for multilabel task (#134)
* support voc

* minor change
2021-01-11 11:08:59 +08:00
LXXXXR 21fd5019fb
add macro-averaged precision,recall,f1 options in evaluation (#93)
* add macro-averaged precision,recall,f1 options in evaluation

* remove unnecessary comments

* Revise according to comments

* Revise according to comments
2020-11-25 16:13:54 +08:00
LXXXXR 7636409b3b
add get_class in base_dataset (#85)
* modify base_dataset

* revise according to the comments
2020-11-12 14:22:02 +08:00
Lei Yang 909a6b9c3f
Add get_cat_ids in BaseDataset (#72)
* visualize results on image demo

* add get_cat_ids in BaseDataset
2020-10-26 14:04:10 +08:00
Lei Yang 9547e7b7a5
Add model inference (#16)
* add model inference on single image

* rm --eval

* revise doc

* add inference tool and demo

* fix linting

* rename inference_image to inference_model

* infer pred_label and pred_score

* fix linting

* add docstr for inference

* add remove_keys

* add doc for inference

* dump results rather than outputs

* add class_names

* add related infer scripts

* add demo image and the first part of colab tutorial

* conduct evaluation in dataset

* return lst in simple_test

* compuate topk accuracy with numpy

* return outputs in test api

* merge inference and evaluation tool

* fix typo

* rm gt_labels in test conifg

* get gt_labels during evaluation

* sperate the ipython notebook to another PR

* return tensor for onnx_export

* detach var in simple_test

* rm inference script

* rm inference script

* construct data dict to replace LoadImage

* print first predicted result if args.out is None

* modify test_pipeline in inference

* refactor class_names of imagenet

* set class_to_idx as a property in base dataset

* output pred_class during inference

* remove unused docstr
2020-09-30 19:00:20 +08:00
yanglei fbc68bf266 Add classifiers, heads, necks and losses 2020-07-07 19:32:06 +08:00
yanglei ba789da5c8 Add commonly used datasets 2020-07-01 16:09:06 +08:00
chenkai a99e6eb10d init commit 2020-05-21 21:21:43 +08:00