[Feature] Support FastFCN #885

MengzhangLI · 2021-09-18T08:09:00Z

Introduction

Support an interesting algorithm which could use smaller feature map getting good results with less computation (FLOPs), FastFCN: Rethinking Dilated Convolution in the Backbone for SemanticSegmentation.

Original Repo: https://github.com/wuhuikai/FastFCN

Its framework is shown as below:

And core novelty of it is Joint Pyramid Upsampling (JPU):

Modification

Add a new neck modified from https://github.com/wuhuikai/FastFCN
Add config files.

Current results on Cityscapes using MMSegmentation are below:

Future work

TO DO:

Aligning training & testing metric of JPU for PSPNet, DeepLabV3 and EncNet.
Adding config files.
Making fair comparison about FPS.
Adding README and uploading models & logs.

(Optional) Results on ADE20K and Pascal Context.

codecov · 2021-09-18T08:41:00Z

Codecov Report

Merging #885 (222d4b3) into master (d966f98) will increase coverage by 0.06%.
The diff coverage is 100.00%.

@@            Coverage Diff             @@
##           master     #885      +/-   ##
==========================================
+ Coverage   89.77%   89.83%   +0.06%     
==========================================
  Files         116      117       +1     
  Lines        6511     6555      +44     
  Branches     1011     1019       +8     
==========================================
+ Hits         5845     5889      +44     
  Misses        463      463              
  Partials      203      203

Flag	Coverage Δ
unittests	`89.83% <100.00%> (+0.06%)`	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
mmseg/models/necks/__init__.py	`100.00% <100.00%> (ø)`
mmseg/models/necks/jpu.py	`100.00% <100.00%> (ø)`

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mmseg/models/necks/jpu.py

…into FastFCN

mmseg/models/necks/jpu.py

configs/_base_/models/fastfcn_r50-d32.py

configs/fastfcn/fastfcn-jpu_deeplabv3_512x1024_80k_cityscapes.py

Junjun2016

Please rename all the config names accordingly.

configs/fastfcn/README.md

Junjun2016

LGTM, please also resolve the comment.

configs/_base_/models/fastfcn_r50-d32.py

mmseg/models/necks/jpu.py

…into FastFCN

mmseg/models/necks/jpu.py

xvjiarui

LGTM. Please resolve the conflict.

* FastFCN first commit * FastFCN first commit * Fixing lint error * Fixing lint error * use for loop on JPU * Use For Loop * Refactor FastFCN * FastFCN * FastFCN * temp * Uploading models & logs (4x4) * Fixing typos * fix typos * rename config * change README.md * use _delete_=True * change configs * change start_level to 0 * change start_level to 0 * jpu * add unittest for start_level!=0

* add default test and train args * remove partition field from default args to the parser * fix typo in config * fix typo in model list

[fix] Correct the key name of ‘eval_results’ dictionary for metric 'mmit_mean_average_precision'

MengzhangLI added 2 commits September 18, 2021 15:55

FastFCN first commit

9c1f2bb

FastFCN first commit

7f1fae6

MengzhangLI added the WIP Work in process label Sep 18, 2021

MengzhangLI requested review from Junjun2016 and xvjiarui September 18, 2021 08:09

MengzhangLI added 2 commits September 18, 2021 16:13

Fixing lint error

d056d80

Fixing lint error

2474b7f

Junjun2016 reviewed Sep 19, 2021

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MengzhangLI added 3 commits September 22, 2021 01:37

use for loop on JPU

67b42a7

Use For Loop

f390399

Refactor FastFCN

c35b0cc

Junjun2016 reviewed Sep 23, 2021

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MengzhangLI added 3 commits September 24, 2021 01:42

FastFCN

54d3847

FastFCN

c258d40

temp

2f01526

xvjiarui reviewed Sep 26, 2021

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MengzhangLI added 2 commits September 27, 2021 21:27

Merge branch 'master' of https://github.com/open-mmlab/mmsegmentation …

2af64d8

…into FastFCN

Uploading models & logs (4x4)

218719e

Fixing typos

7a849ff

xvjiarui reviewed Sep 28, 2021

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xvjiarui reviewed Sep 28, 2021

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fix typos

e3a3637

Junjun2016 reviewed Sep 30, 2021

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Junjun2016 reviewed Sep 30, 2021

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Junjun2016 reviewed Sep 30, 2021

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MengzhangLI added 2 commits September 30, 2021 14:05

rename config

849c6f6

change README.md

509a83b

Junjun2016 reviewed Sep 30, 2021

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MengzhangLI added 2 commits September 30, 2021 21:01

use _delete_=True

c4d7507

change configs

30ec997

Junjun2016 reviewed Sep 30, 2021

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Junjun2016 approved these changes Sep 30, 2021

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MengzhangLI added 2 commits September 30, 2021 23:12

change start_level to 0

c8d1757

Merge branch 'master' of https://github.com/open-mmlab/mmsegmentation …

b1d8281

…into FastFCN

MengzhangLI force-pushed the FastFCN branch from d604b0b to b1d8281 Compare September 30, 2021 15:14

change start_level to 0

a83111c

xvjiarui removed the WIP Work in process label Sep 30, 2021

xvjiarui reviewed Sep 30, 2021

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MengzhangLI added 2 commits October 1, 2021 00:33

jpu

59eaceb

add unittest for start_level!=0

05f4d07

xvjiarui approved these changes Sep 30, 2021

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fix conflict

222d4b3

Junjun2016 merged commit f910caf into open-mmlab:master Sep 30, 2021

MengzhangLI deleted the FastFCN branch February 1, 2022 03:15

sibozhang pushed a commit to sibozhang/mmsegmentation that referenced this pull request Mar 22, 2024

Merge pull request open-mmlab#885 from SCZwangxiao/master

ae5fb59

[fix] Correct the key name of ‘eval_results’ dictionary for metric 'mmit_mean_average_precision'

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[Feature] Support FastFCN #885

[Feature] Support FastFCN #885

MengzhangLI commented Sep 18, 2021 •

edited

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codecov bot commented Sep 18, 2021 •

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[Feature] Support FastFCN #885

[Feature] Support FastFCN #885

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MengzhangLI commented Sep 18, 2021 • edited Loading

Introduction

Modification

Future work

codecov bot commented Sep 18, 2021 • edited Loading

Codecov Report

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MengzhangLI commented Sep 18, 2021 •

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