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repowiseosmaras/ai_facemat

Commits

Every commit scored for change-risk against this repo's own history, so 'elevated' means elevated here rather than on some global curve.

Needs review

5of 14 scored

5 commits sit in this repo's top risk tercile, which is 36% of the 14scored. The cut is drawn against this codebase's own history rather than a global curve, so a quiet repo still fills its top band, and here it starts at 8.1 out of 10. What pushes a commit up is size and spread together: a large change confined to one area scores below a smaller one scattered across a dozen files.

Fix commits321%Commits whose subject reads as a bug fix rather than new work.Change diffusion0.40bitsShannon entropy of a commit's churn across its files. Zero is a single file, and every extra bit is a doubling of how widely the change spread.Review threshold8.1out of 10Score a commit has to clear to land in this repo's top tercile.

How the work changed shape

Commit categories over time, read off the subject line. Fixes carry the accent because that is the series this chart exists to show.

How this repo's commit mix shifts over time.

Feature14%
Fix14%
Refactor14%
Docs43%
Other14%

Review-priority queue

Ranked by change-risk, highest first. Priority is a tercile of this repo's own distribution, so a quiet repo still fills its top band.

Commit review-priority queue
#CommitAuthorWhenLinesRiskTop driver
1
7ca26230AI FaceMat pipeline: SegFace + SAM2 face matte generation for Scratch
Es Fem
2mo ago+966 -0
96%Elevated
more lines added than baseline
2
92b26716Add installer, extract scratch_api.py module
Es Fem
2mo ago+483 -229
89%Elevated
more lines added than baseline
3
0086f66bfix(install): Rewrite script to address uv offline failures and Blackwell (sm_120) compatibility
es-fem
2mo ago+190 -178
82%Elevated
more lines added than baseline
4
3be0d591Add SwinV2B and SwinB-LaPa models, dataset-aware class mapping
Es Fem
2mo ago+140 -16
75%Elevated
more lines added than baseline
5
6fea9c24README: rewrite for Scratch Custom Commands workflow (install, configure, use)
Es Fem
2mo ago+103 -166
68%Elevated
more lines added than baseline
6
64423ba4Installer: auto-detect GPU, set correct CUDA/PyTorch versions
Es Fem
2mo ago+75 -4
61%Typical
more lines added than baseline
7
784e7897README: update installation to use installer, add project structure and scratch_api docs
Es Fem
2mo ago+46 -19
54%Typical
more lines added than baseline
8
d910e8bdREADME: add Scratch custom button integration with XML example
Es Fem
2mo ago+43 -0
46%Typical
more lines added than baseline
9
1eb7c125Add Scratch REST API port and access key configuration
Es Fem
2mo ago+22 -1
39%Typical
more lines added than baseline
10
e6a2812bREADME: document Scratch REST API port/auth configuration
Es Fem
2mo ago+18 -0
32%Below typical
more lines added than baseline
11
fa14feb0README: add GPU auto-detection table to installation docs
Es Fem
2mo ago+11 -2
25%Below typical
more focused than baseline
12
6b700c6bRefactor comments and add OUTPUT_NODE_TYPE_UUID
osmaras
2mo ago+8 -5
18%Below typical
fewer lines added than baseline
13
3dc7f5f6Fix installer: add SegFace Model dropdown to generated .acc template
Es Fem
2mo ago+4 -0
11%Below typical
fewer lines added than baseline
14
f1319d27Fix typos in README for Stage 4
osmaras
2mo ago+2 -2
4%Below typical
fewer lines added than baseline
  • 7ca26230AI FaceMat pipeline: SegFace + SAM2 face matte generation for Scratch
    Author
    Es Fem
    When
    2mo ago
    Lines
    +966 -0
    Risk
    96%Elevated
  • 92b26716Add installer, extract scratch_api.py module
    Author
    Es Fem
    When
    2mo ago
    Lines
    +483 -229
    Risk
    89%Elevated
  • 0086f66bfix(install): Rewrite script to address uv offline failures and Blackwell (sm_120) compatibility
    Author
    es-fem
    When
    2mo ago
    Lines
    +190 -178
    Risk
    82%Elevated
  • 3be0d591Add SwinV2B and SwinB-LaPa models, dataset-aware class mapping
    Author
    Es Fem
    When
    2mo ago
    Lines
    +140 -16
    Risk
    75%Elevated
  • 6fea9c24README: rewrite for Scratch Custom Commands workflow (install, configure, use)
    Author
    Es Fem
    When
    2mo ago
    Lines
    +103 -166
    Risk
    68%Elevated
  • 64423ba4Installer: auto-detect GPU, set correct CUDA/PyTorch versions
    Author
    Es Fem
    When
    2mo ago
    Lines
    +75 -4
    Risk
    61%Typical
  • 784e7897README: update installation to use installer, add project structure and scratch_api docs
    Author
    Es Fem
    When
    2mo ago
    Lines
    +46 -19
    Risk
    54%Typical
  • d910e8bdREADME: add Scratch custom button integration with XML example
    Author
    Es Fem
    When
    2mo ago
    Lines
    +43 -0
    Risk
    46%Typical
  • 1eb7c125Add Scratch REST API port and access key configuration
    Author
    Es Fem
    When
    2mo ago
    Lines
    +22 -1
    Risk
    39%Typical
  • e6a2812bREADME: document Scratch REST API port/auth configuration
    Author
    Es Fem
    When
    2mo ago
    Lines
    +18 -0
    Risk
    32%Below typical
  • fa14feb0README: add GPU auto-detection table to installation docs
    Author
    Es Fem
    When
    2mo ago
    Lines
    +11 -2
    Risk
    25%Below typical
  • 6b700c6bRefactor comments and add OUTPUT_NODE_TYPE_UUID
    Author
    osmaras
    When
    2mo ago
    Lines
    +8 -5
    Risk
    18%Below typical
  • 3dc7f5f6Fix installer: add SegFace Model dropdown to generated .acc template
    Author
    Es Fem
    When
    2mo ago
    Lines
    +4 -0
    Risk
    11%Below typical
  • f1319d27Fix typos in README for Stage 4
    Author
    osmaras
    When
    2mo ago
    Lines
    +2 -2
    Risk
    4%Below typical
Showing 14 of 14 commits

How the score behaves here

Change risk →

Two views of the same model: where the cuts fall, and what commit shape lands you above them.

Score distribution

Every scored commit, binned on the raw 0 to 10 score rather than the percentile. Percentile ranks are uniform by construction, so that axis has no shape to draw. The dashed lines are the tercile cuts behind each row's priority pill.

02typical ↑↑ elevated0.05.010.0Change-risk score →
Below typical
Typical
Elevated

Size against diffusion

The 14 most recent commits, on their own recency sample rather than the feed above: that defaults to risk-sorted, so reusing it would plot only the top tercile and call it the spread. Big and scattered is what the model penalises. Click a dot to open it.

110100Lines changed (log) →0.01.6Diffusion →
Below typical5
Typical4
Elevated5

Commit history for osmaras/ai_facemat

Repowise tracks change history across 2 files in osmaras/ai_facemat. In the last 90 days 2 files were touched, 7 times in total, most often AI_FaceMat.py. Every commit is scored for change risk from its size, spread and the history of the files it touches.