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Pozify / src

Commit History

Jun 11

14:55
perf(pose): read dense video frames sequentially

nvti

b69e2d9
14:47
pioritize BiLSTM model

NLag

7e61c38
14:34
Refactor(pipeline): improve code readability and update function calls for clarity

nvti

f8956c7
14:26
Merge branch 'main' into NLag/issue4

nvti

2c7b5fc
14:24
refactor(mediapipe): improve code readability and add CPU delegate option

nvti

9a93843
14:21
feat(report): stream analysis progress

nvti

06aef73
14:15
Enhance UnknownExercise class with debug data handling and add test for manual unknown exercise in pipeline

NLag

e2fb7fb
14:03
Avoid OpenCV H264 writer fallback errors

NLag

5620975
13:37
feat(report): add annotated issue clips

nvti

8c7116a
13:29
Merge remote issue 4 updates

NLag

a03121e
13:29
Add issue 10 training release assets

NLag

6beb9c7
12:44
Merge branch 'main' into NLag/issue4

nvti

5b7c9ce
12:36
fix(renderer): preserve video colors in annotations

nvti

79624b7
12:21
refactor(exercises): route pipeline through exercise objects

nvti

95fec78
11:42
Implement frame-level issue markers

nvti

6661f3a
09:39
Merge branch 'main' into NLag/issue4

nvti

190efc2
08:39
refactor(exercises): introduce exercise strategies

nvti

6724737
08:14
Merge branch 'main' into NLag/issue4

nvti

d2cceab
08:11
fix(rep-analysis): split exercise analyzers

nvti

521466b
08:01
Merge branch 'main' into NLag/issue4

nvti

8d4765b
01:42
Merge main into issue 4 branch⁠

NLag

46de17e
01:39
Add temporal router model selection⁠

NLag

7f45320
00:58
Implement exercise classifier router

NLag

b091f38

Jun 10

22:28
Merge branch 'main' into issue-6-rep-analysis-variation

nvti

d1b5fe5
22:05
Surface rep metrics in the app

Daphne

5d25a8e
22:04
Detect exercise variations from rep metrics

Daphne

dab45ec
22:04
Implement pose-derived rep metrics

Daphne

4526b91
22:03
feat(rep_counter): implement exercise-specific rep counters for push-ups, shoulder presses, and squats; add dependency on fastapi

nvti

4108569
16:20
feat(pose): add pluggable pose backends

nvti

e001594
20:31
fix(rep): ignore noisy extrema in squat cycle segmentation

tthhanh

31b7bb7
20:21
fix(catalog): default auto exercise to squat

tthhanh

5c0cd3c
20:14
refactor(ui): clarify mocked downstream analysis

tthhanh

c75c57c
20:13
fix(renderer): prefer web-friendly video codecs

tthhanh

e6be1c2
20:13
feat(pose): use dense frames for real pose extraction

tthhanh

8f2c6ef
20:13
fix(classifier): default auto routing to squat

tthhanh

43779d9
19:54
feat(renderer): generate annotated pose videos

tthhanh

d5fd424
19:54
fix(rep): clamp mock analysis scores for long sets

tthhanh

5b24a5e
19:34
feat(pipeline): persist rep debug artifacts

tthhanh

cdc265f
19:34
feat(rep): implement deterministic exercise rep segmentation

tthhanh

ba6433c
19:34
feat(rep): add shared signal and state machine utilities

tthhanh

53600e7
19:09
refactor(exercises): centralize exercise definitions

nvti

99f3843
16:20
feat(pose): add pluggable pose backends

nvti

b89e7f7
13:48
feat(video): add intake quality gate⁠

nvti

3a975fb
13:32
feat(pipeline): harden mock artifact contracts⁠

nvti

df07925
12:30
first commit

nvti

b7e61ea

Commit History

Jun 11

perf(pose): read dense video frames sequentially

pioritize BiLSTM model

Refactor(pipeline): improve code readability and update function calls for clarity

Merge branch 'main' into NLag/issue4

refactor(mediapipe): improve code readability and add CPU delegate option

feat(report): stream analysis progress

Enhance UnknownExercise class with debug data handling and add test for manual unknown exercise in pipeline

Avoid OpenCV H264 writer fallback errors

feat(report): add annotated issue clips

Merge remote issue 4 updates

Add issue 10 training release assets

Merge branch 'main' into NLag/issue4

fix(renderer): preserve video colors in annotations

refactor(exercises): route pipeline through exercise objects

Implement frame-level issue markers

Merge branch 'main' into NLag/issue4

refactor(exercises): introduce exercise strategies

Merge branch 'main' into NLag/issue4

fix(rep-analysis): split exercise analyzers

Merge branch 'main' into NLag/issue4

Merge main into issue 4 branch⁠

Add temporal router model selection⁠

Implement exercise classifier router

Jun 10

Merge branch 'main' into issue-6-rep-analysis-variation

Surface rep metrics in the app

Detect exercise variations from rep metrics

Implement pose-derived rep metrics

feat(rep_counter): implement exercise-specific rep counters for push-ups, shoulder presses, and squats; add dependency on fastapi

feat(pose): add pluggable pose backends

fix(rep): ignore noisy extrema in squat cycle segmentation

fix(catalog): default auto exercise to squat

refactor(ui): clarify mocked downstream analysis

fix(renderer): prefer web-friendly video codecs

feat(pose): use dense frames for real pose extraction

fix(classifier): default auto routing to squat

feat(renderer): generate annotated pose videos

fix(rep): clamp mock analysis scores for long sets

feat(pipeline): persist rep debug artifacts

feat(rep): implement deterministic exercise rep segmentation

feat(rep): add shared signal and state machine utilities

refactor(exercises): centralize exercise definitions

feat(pose): add pluggable pose backends

feat(video): add intake quality gate⁠

feat(pipeline): harden mock artifact contracts⁠

first commit