What is meaning of 'evalutation-flags' ?

[soyeollee]

Thank you for your work.

When I run 'test_net.py', GeneralizedRCNN in generalized_rcnn.py return list with len=4.

and each 'list' (4 number of) in returned list has different num_boxes.

When I revise augument '--evalutation-flags' from [1, 1, 1, 1] (default) to [1], returned result has 4 lists.

What is meaning of 'evalutation-flags' ? I just want to use 'double-head-ext' only.

[AliceAsky]

I have the same needs, and I want to know what are the four differences.

[wuyuebupt]

@SoYeol-Lee Sorry that I thought I have replied until I received the next comment.

Where to use the evaluation flag can be found at the code: https://github.com/wuyuebupt/doubleheadsrcnn/blob/master/maskrcnn_benchmark/modeling/roi_heads/box_head/inference.py#L190

The mapping from the four flags to the configuration are: #### return multiple post processor with different mode # 0 : conv cls + conv reg # 1 : fc cls + fc cls # 2 : fc cls + conv reg # 3 : fc cls + conv reg (double-head-ext) #------ # evaluation_flags: 1 1 1 1

So if you only need to run the 'double-head-ext'. You should use the flag "0 0 0 1".

The detailed process can be found from https://github.com/wuyuebupt/doubleheadsrcnn/blob/a744b4121d52935741f49d845bae7878270ea291/maskrcnn_benchmark/modeling/roi_heads/box_head/inference.py#L71 to https://github.com/wuyuebupt/doubleheadsrcnn/blob/a744b4121d52935741f49d845bae7878270ea291/maskrcnn_benchmark/modeling/roi_heads/box_head/inference.py#L85

[wuyuebupt]

@AliceAsky check my comment above.