diff --git a/.github/workflows/static-check.yml b/.github/workflows/ci-static-checks.yml similarity index 94% rename from .github/workflows/static-check.yml rename to .github/workflows/ci-static-checks.yml index 5412e60..4a773bb 100644 --- a/.github/workflows/static-check.yml +++ b/.github/workflows/ci-static-checks.yml @@ -1,9 +1,10 @@ -name: CodeStyle Check +name: "CI: Static Checks" on: push: branches: [main] pull_request: + branches: [main] jobs: code-style-check: diff --git a/.github/workflows/readme-translation-sync.yml b/.github/workflows/readme-translation-sync.yml new file mode 100644 index 0000000..e75085d --- /dev/null +++ b/.github/workflows/readme-translation-sync.yml @@ -0,0 +1,37 @@ +name: README Translation Sync + +on: + workflow_dispatch: + push: + branches: [main] + paths: + - README.md + +permissions: + contents: write + pull-requests: write + models: read + +jobs: + translate: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + with: + fetch-depth: 0 + - uses: zrr-lab/readme-translation-sync@main + with: + github-token: ${{ secrets.GITHUB_TOKEN }} + target-language: English + target-file: README.en-US.md + - uses: peter-evans/create-pull-request@v7 + with: + commit-message: "📝 docs: sync README.en-US.md translation" + title: "📝 docs: sync README.en-US.md translation" + body: | + This PR automatically syncs the English translation with the latest changes in `README.md`. + + Generated using GitHub Models. + branch: readme-translation-sync + delete-branch: true + labels: documentation diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index dfe746b..d672ade 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -1,19 +1,32 @@ repos: - repo: https://github.com/pre-commit/pre-commit-hooks - rev: v4.6.0 + rev: v6.0.0 hooks: - id: check-added-large-files + - id: check-case-conflict + - id: check-executables-have-shebangs - id: check-yaml - id: check-json - - id: check-toml - id: check-merge-conflict - - id: debug-statements + - id: destroyed-symlinks - id: end-of-file-fixer - id: mixed-line-ending - id: trailing-whitespace + + - repo: https://github.com/tombi-toml/tombi-pre-commit + rev: v0.7.0 + hooks: + - id: tombi-format + - id: tombi-lint + - repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.7.2 + rev: v0.14.6 hooks: + - id: ruff-check + args: [--fix] - id: ruff-format - - id: ruff - args: [--fix, --unsafe-fixes, --exit-non-zero-on-fix] + + - repo: https://github.com/crate-ci/typos + rev: v1.33.1 + hooks: + - id: typos diff --git a/README.md b/README.md index d230692..9306585 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,5 @@ # 多模态情绪识别 (Multimodal Emotion Recognition) +中文 | [English](README.en-US.md) > 基于深度学习的多模态情绪识别方法研究套件，支持文本、音频、视频三种模态的情绪分类与情感分析任务。 diff --git a/_typos.toml b/_typos.toml new file mode 100644 index 0000000..8ee58fb --- /dev/null +++ b/_typos.toml @@ -0,0 +1,3 @@ +[default.extend-words] +ACII = "ACII" +NCE = "NCE" diff --git a/configs/encoders/A+V.toml b/configs/encoders/A+V.toml index 40414df..b852113 100644 --- a/configs/encoders/A+V.toml +++ b/configs/encoders/A+V.toml @@ -1,5 +1,3 @@ - - [model.encoder.A] feature_size = 768 model = "facebook/data2vec-audio-base-960h" diff --git a/configs/encoders/A.toml b/configs/encoders/A.toml index 0d021c5..669fd3f 100644 --- a/configs/encoders/A.toml +++ b/configs/encoders/A.toml @@ -1,5 +1,3 @@ - - [model.encoder.A] feature_size = 768 model = "facebook/data2vec-audio-base-960h" diff --git a/configs/fusion/DF-0.1.toml b/configs/fusion/DF-0.1.toml index 0b738c7..e2426e3 100644 --- a/configs/fusion/DF-0.1.toml +++ b/configs/fusion/DF-0.1.toml @@ -1,5 +1,6 @@ [model.fusion] base = "DisentanglementFusion" args = ["feature_sizes_dict", "256", "128"] + [model.fusion.kwargs] alpha = "0.1" diff --git a/configs/fusion/DF-1.0.toml b/configs/fusion/DF-1.0.toml index 0f3716c..ae721a3 100644 --- a/configs/fusion/DF-1.0.toml +++ b/configs/fusion/DF-1.0.toml @@ -1,5 +1,6 @@ [model.fusion] base = "DisentanglementFusion" args = ["feature_sizes_dict", "256", "128"] + [model.fusion.kwargs] alpha = "1" diff --git a/configs/fusion/DF-2.0.toml b/configs/fusion/DF-2.0.toml index e24e25e..20fbb7a 100644 --- a/configs/fusion/DF-2.0.toml +++ b/configs/fusion/DF-2.0.toml @@ -1,5 +1,6 @@ [model.fusion] base = "DisentanglementFusion" args = ["feature_sizes_dict", "256", "128"] + [model.fusion.kwargs] alpha = "2" diff --git a/configs/fusion/deep-vallina.toml b/configs/fusion/deep-vallina.toml index fc78772..1ad3df6 100644 --- a/configs/fusion/deep-vallina.toml +++ b/configs/fusion/deep-vallina.toml @@ -1,5 +1,6 @@ [model.fusion] base = "VallinaFusionLayer" args = ["feature_sizes_dict", "128"] + [model.fusion.kwargs] depth = "5" diff --git a/configs/fusion/shared-iemocap.toml b/configs/fusion/shared-iemocap.toml index 7090948..bacf656 100644 --- a/configs/fusion/shared-iemocap.toml +++ b/configs/fusion/shared-iemocap.toml @@ -1,5 +1,6 @@ [model.fusion] base = "SharedFeatureFusion" args = ["feature_sizes_dict", "128"] + [model.fusion.kwargs] alpha = "2" diff --git a/configs/fusion/shared-meld.toml b/configs/fusion/shared-meld.toml index 4d407ee..94f87c3 100644 --- a/configs/fusion/shared-meld.toml +++ b/configs/fusion/shared-meld.toml @@ -1,5 +1,6 @@ [model.fusion] base = "SharedFeatureFusion" args = ["feature_sizes_dict", "128"] + [model.fusion.kwargs] alpha = "0.1" diff --git a/experiments/baseline/multimodal.toml b/experiments/baseline/multimodal.toml index 95fcb8c..5d58565 100644 --- a/experiments/baseline/multimodal.toml +++ b/experiments/baseline/multimodal.toml @@ -8,17 +8,18 @@ seed = ["114"] [tasks.multimodal] command = "uv run emotion-recognize train" args = [ - "configs/dataset/{dataset}.toml", - "configs/encoders/{encoder}.toml", - "configs/fusion/{fusion}.toml", - "configs/losses/classification/weight.toml", - "--seed {seed}", + "configs/dataset/{dataset}.toml", + "configs/encoders/{encoder}.toml", + "configs/fusion/{fusion}.toml", + "configs/losses/classification/weight.toml", + "--seed {seed}", ] + [tasks.multimodal.matrix] encoder = [ - "T+A", - "T+V", - "A+V", - "T+A+V", + "T+A", + "T+V", + "A+V", + "T+A+V", ] fusion = ["configs/fusion/vallina.toml"] diff --git a/experiments/baseline/unimodal.toml b/experiments/baseline/unimodal.toml index 0ef021b..019f64a 100644 --- a/experiments/baseline/unimodal.toml +++ b/experiments/baseline/unimodal.toml @@ -9,14 +9,15 @@ classification = ["focal"] [tasks.unimodal] command = "uv run emotion-recognize train" args = [ - "configs/dataset/{dataset}.toml", - "configs/encoders/{encoder}.toml", - "configs/losses/classification/{classification}.toml", - "--seed {seed}", + "configs/dataset/{dataset}.toml", + "configs/encoders/{encoder}.toml", + "configs/losses/classification/{classification}.toml", + "--seed {seed}", ] + [tasks.unimodal.matrix] encoder = [ - "T", - "A", - "V", + "T", + "A", + "V", ] diff --git a/experiments/makd-ablation.toml b/experiments/makd-ablation.toml index ac4f9e8..4c3acc8 100644 --- a/experiments/makd-ablation.toml +++ b/experiments/makd-ablation.toml @@ -7,10 +7,10 @@ loss = ["focal", "weight"] [tasks.unimodal] command = "uv run emotion-recognize train" args = [ - "configs/dataset/{dataset}.toml", - "configs/encoders/T.toml", - "configs/losses/classification/{loss}.toml", - "--seed {seed}", + "configs/dataset/{dataset}.toml", + "configs/encoders/T.toml", + "configs/losses/classification/{loss}.toml", + "--seed {seed}", ] [tasks.unimodal.matrix] @@ -20,97 +20,103 @@ seed = ["0", "114"] [tasks.meld-losses] command = "uv run emotion-recognize train" args = [ - "configs/dataset/MELD--E.toml", - "configs/encoders/T+A+V.toml", - "configs/fusion/DF-1.0.toml", - "configs/fusion/kwargs/attn.toml", - "configs/losses/classification/{loss}.toml", - "{extra}", - "--seed 114", + "configs/dataset/MELD--E.toml", + "configs/encoders/T+A+V.toml", + "configs/fusion/DF-1.0.toml", + "configs/fusion/kwargs/attn.toml", + "configs/losses/classification/{loss}.toml", + "{extra}", + "--seed 114", ] deps = ["unimodal"] + [tasks.meld-losses.matrix] extra = [ - "configs/losses/frl-meld.toml", - "--teacher-checkpoint checkpoints/training/MELD--E/trainable--2--{loss}/1xE--T/ce200638--114", + "configs/losses/frl-meld.toml", + "--teacher-checkpoint checkpoints/training/MELD--E/trainable--2--{loss}/1xE--T/ce200638--114", ] [tasks.meld-model] command = "uv run emotion-recognize train" args = [ - "configs/dataset/MELD--E.toml", - "configs/encoders/T+A+V.toml", - "configs/fusion/{fusion}.toml", - "configs/losses/classification/{loss}.toml", - "configs/losses/frl-meld.toml", - "--teacher-checkpoint checkpoints/training/MELD--E/trainable--2--{loss}/1xE--T/ce200638--114", - "--seed 114", + "configs/dataset/MELD--E.toml", + "configs/encoders/T+A+V.toml", + "configs/fusion/{fusion}.toml", + "configs/losses/classification/{loss}.toml", + "configs/losses/frl-meld.toml", + "--teacher-checkpoint checkpoints/training/MELD--E/trainable--2--{loss}/1xE--T/ce200638--114", + "--seed 114", ] deps = ["unimodal"] + [tasks.meld-model.matrix] fusion = ["vallina", "shared-meld", "private", "DF-1.0"] [tasks.meld-modality] command = "uv run emotion-recognize train" args = [ - "configs/dataset/MELD--E.toml", - "configs/encoders/{encoder}.toml", - "configs/fusion/DF-1.0.toml", - "configs/fusion/kwargs/attn.toml", - "configs/losses/classification/{loss}.toml", - "configs/losses/frl-meld.toml", - "--teacher-checkpoint checkpoints/training/MELD--E/trainable--2--{loss}/1xE--T/ce200638--114", - "--seed 114", + "configs/dataset/MELD--E.toml", + "configs/encoders/{encoder}.toml", + "configs/fusion/DF-1.0.toml", + "configs/fusion/kwargs/attn.toml", + "configs/losses/classification/{loss}.toml", + "configs/losses/frl-meld.toml", + "--teacher-checkpoint checkpoints/training/MELD--E/trainable--2--{loss}/1xE--T/ce200638--114", + "--seed 114", ] deps = ["unimodal"] + [tasks.meld-modality.matrix] encoder = ["T+A", "T+V"] [tasks.iemocap-losses] command = "uv run emotion-recognize train" args = [ - "configs/dataset/IEMOCAP--E.toml", - "configs/encoders/T+A+V.toml", - "configs/fusion/DF-2.0.toml", - "configs/fusion/kwargs/attn.toml", - "configs/losses/classification/{loss}.toml", - "{extra}", - "--seed 0", + "configs/dataset/IEMOCAP--E.toml", + "configs/encoders/T+A+V.toml", + "configs/fusion/DF-2.0.toml", + "configs/fusion/kwargs/attn.toml", + "configs/losses/classification/{loss}.toml", + "{extra}", + "--seed 0", ] deps = ["unimodal"] + [tasks.iemocap-losses.matrix] extra = [ - "configs/losses/frl-iemocap.toml", - "--teacher-checkpoint checkpoints/training/IEMOCAP--E/trainable--4--{loss}/1xE--T/ce200638--114", + "configs/losses/frl-iemocap.toml", + "--teacher-checkpoint checkpoints/training/IEMOCAP--E/trainable--4--{loss}/1xE--T/ce200638--114", ] [tasks.iemocap-model] command = "uv run emotion-recognize train" args = [ - "configs/dataset/IEMOCAP--E.toml", - "configs/encoders/T+A+V.toml", - "configs/fusion/{fusion}.toml", - "configs/losses/classification/{loss}.toml", - "configs/losses/frl-iemocap.toml", - "--teacher-checkpoint checkpoints/training/IEMOCAP--E/trainable--4--{loss}/1xE--T/ce200638--114", - "--seed 0", + "configs/dataset/IEMOCAP--E.toml", + "configs/encoders/T+A+V.toml", + "configs/fusion/{fusion}.toml", + "configs/losses/classification/{loss}.toml", + "configs/losses/frl-iemocap.toml", + "--teacher-checkpoint checkpoints/training/IEMOCAP--E/trainable--4--{loss}/1xE--T/ce200638--114", + "--seed 0", ] deps = ["unimodal"] + [tasks.iemocap-model.matrix] fusion = ["vallina", "shared-iemocap", "private", "DF-2.0"] [tasks.iemocap-modality] command = "uv run emotion-recognize train" args = [ - "configs/dataset/IEMOCAP--E.toml", - "configs/encoders/{encoder}.toml", - "configs/fusion/DF-2.0.toml", - "configs/fusion/kwargs/attn.toml", - "configs/losses/classification/{loss}.toml", - "configs/losses/frl-iemocap.toml", - "--teacher-checkpoint checkpoints/training/IEMOCAP--E/trainable--4--{loss}/1xE--T/ce200638--114", - "--seed 0", + "configs/dataset/IEMOCAP--E.toml", + "configs/encoders/{encoder}.toml", + "configs/fusion/DF-2.0.toml", + "configs/fusion/kwargs/attn.toml", + "configs/losses/classification/{loss}.toml", + "configs/losses/frl-iemocap.toml", + "--teacher-checkpoint checkpoints/training/IEMOCAP--E/trainable--4--{loss}/1xE--T/ce200638--114", + "--seed 0", ] deps = ["unimodal"] + [tasks.iemocap-modality.matrix] encoder = ["T+A", "T+V"] diff --git a/experiments/makd.toml b/experiments/makd.toml index 8c3f65c..e92398c 100644 --- a/experiments/makd.toml +++ b/experiments/makd.toml @@ -8,38 +8,39 @@ loss = ["focal", "weight"] [tasks.unimodal] command = "uv run emotion-recognize train" args = [ - "configs/dataset/{dataset}.toml", - "configs/encoders/T.toml", - "configs/losses/classification/{loss}.toml", - "--seed {seed}", + "configs/dataset/{dataset}.toml", + "configs/encoders/T.toml", + "configs/losses/classification/{loss}.toml", + "--seed {seed}", ] + [tasks.unimodal.matrix] dataset = ["MELD--E", "IEMOCAP--E"] [tasks.meld] command = "uv run emotion-recognize train" args = [ - "configs/dataset/MELD--E.toml", - "configs/encoders/T+A+V.toml", - "configs/fusion/DF-1.0.toml", - "configs/fusion/kwargs/attn.toml", - "configs/losses/frl-meld.toml", - "configs/losses/classification/{loss}.toml", - "--teacher-checkpoint checkpoints/training/MELD--E/trainable--2--{loss}/1xE--T/ce200638--{seed}", - "--seed {seed}", + "configs/dataset/MELD--E.toml", + "configs/encoders/T+A+V.toml", + "configs/fusion/DF-1.0.toml", + "configs/fusion/kwargs/attn.toml", + "configs/losses/frl-meld.toml", + "configs/losses/classification/{loss}.toml", + "--teacher-checkpoint checkpoints/training/MELD--E/trainable--2--{loss}/1xE--T/ce200638--{seed}", + "--seed {seed}", ] deps = ["unimodal"] [tasks.iemocap] command = "uv run emotion-recognize train" args = [ - "configs/dataset/IEMOCAP--E.toml", - "configs/encoders/T+A+V.toml", - "configs/fusion/DF-2.0.toml", - "configs/fusion/kwargs/attn.toml", - "configs/losses/frl-iemocap.toml", - "configs/losses/classification/{loss}.toml", - "--teacher-checkpoint checkpoints/training/IEMOCAP--E/trainable--4--{loss}/1xE--T/ce200638--{seed}", - "--seed {seed}", + "configs/dataset/IEMOCAP--E.toml", + "configs/encoders/T+A+V.toml", + "configs/fusion/DF-2.0.toml", + "configs/fusion/kwargs/attn.toml", + "configs/losses/frl-iemocap.toml", + "configs/losses/classification/{loss}.toml", + "--teacher-checkpoint checkpoints/training/IEMOCAP--E/trainable--4--{loss}/1xE--T/ce200638--{seed}", + "--seed {seed}", ] deps = ["unimodal"] diff --git a/experiments/mdn-ablation.toml b/experiments/mdn-ablation.toml index 08f5d33..dddb081 100644 --- a/experiments/mdn-ablation.toml +++ b/experiments/mdn-ablation.toml @@ -7,11 +7,11 @@ loss = ["focal", "weight"] [tasks.meld-model] command = "uv run emotion-recognize train" args = [ - "configs/dataset/MELD--E.toml", - "configs/encoders/T+A+V.toml", - "configs/fusion/{fusion}.toml", - "configs/losses/classification/{loss}.toml", - "--seed 114", + "configs/dataset/MELD--E.toml", + "configs/encoders/T+A+V.toml", + "configs/fusion/{fusion}.toml", + "configs/losses/classification/{loss}.toml", + "--seed 114", ] [tasks.meld-model.matrix] @@ -20,12 +20,12 @@ fusion = ["vallina", "shared-meld", "private", "DF-1.0"] [tasks.meld-modality] command = "uv run emotion-recognize train" args = [ - "configs/dataset/MELD--E.toml", - "configs/encoders/{encoder}.toml", - "configs/fusion/DF-1.0.toml", - "configs/fusion/kwargs/attn.toml", - "configs/losses/classification/{loss}.toml", - "--seed 114", + "configs/dataset/MELD--E.toml", + "configs/encoders/{encoder}.toml", + "configs/fusion/DF-1.0.toml", + "configs/fusion/kwargs/attn.toml", + "configs/losses/classification/{loss}.toml", + "--seed 114", ] [tasks.meld-modality.matrix] @@ -34,11 +34,11 @@ encoder = ["T+A", "T+V"] [tasks.iemocap-model] command = "uv run emotion-recognize train" args = [ - "configs/dataset/IEMOCAP--E.toml", - "configs/encoders/T+A+V.toml", - "configs/fusion/{fusion}.toml", - "configs/losses/classification/{loss}.toml", - "--seed 0", + "configs/dataset/IEMOCAP--E.toml", + "configs/encoders/T+A+V.toml", + "configs/fusion/{fusion}.toml", + "configs/losses/classification/{loss}.toml", + "--seed 0", ] [tasks.iemocap-model.matrix] @@ -47,12 +47,12 @@ fusion = ["vallina", "shared-iemocap", "private", "DF-1.0"] [tasks.iemocap-modality] command = "uv run emotion-recognize train" args = [ - "configs/dataset/IEMOCAP--E.toml", - "configs/encoders/{encoder}.toml", - "configs/fusion/DF-1.0.toml", - "configs/fusion/kwargs/attn.toml", - "configs/losses/classification/{loss}.toml", - "--seed 0", + "configs/dataset/IEMOCAP--E.toml", + "configs/encoders/{encoder}.toml", + "configs/fusion/DF-1.0.toml", + "configs/fusion/kwargs/attn.toml", + "configs/losses/classification/{loss}.toml", + "--seed 0", ] [tasks.iemocap-modality.matrix] diff --git a/experiments/mdn.toml b/experiments/mdn.toml index b362c40..1070af0 100644 --- a/experiments/mdn.toml +++ b/experiments/mdn.toml @@ -8,21 +8,21 @@ loss = ["focal", "weight"] [tasks.meld--E] command = "uv run emotion-recognize train" args = [ - "configs/dataset/MELD--E.toml", - "configs/encoders/T+A+V.toml", - "configs/fusion/DF-1.0.toml", - "configs/fusion/kwargs/attn.toml", - "configs/losses/classification/{loss}.toml", - "--seed {seed}", + "configs/dataset/MELD--E.toml", + "configs/encoders/T+A+V.toml", + "configs/fusion/DF-1.0.toml", + "configs/fusion/kwargs/attn.toml", + "configs/losses/classification/{loss}.toml", + "--seed {seed}", ] [tasks.iemocap] command = "uv run emotion-recognize train" args = [ - "configs/dataset/IEMOCAP--E.toml", - "configs/encoders/T+A+V.toml", - "configs/fusion/DF-1.0.toml", - "configs/fusion/kwargs/attn.toml", - "configs/losses/classification/{loss}.toml", - "--seed {seed}", + "configs/dataset/IEMOCAP--E.toml", + "configs/encoders/T+A+V.toml", + "configs/fusion/DF-1.0.toml", + "configs/fusion/kwargs/attn.toml", + "configs/losses/classification/{loss}.toml", + "--seed {seed}", ] diff --git a/experiments/moe.toml b/experiments/moe.toml index 40c1613..f3c375e 100644 --- a/experiments/moe.toml +++ b/experiments/moe.toml @@ -8,26 +8,38 @@ seed = ["0", "42", "114"] [tasks.MoE-unimodal] command = "uv run emotion-recognize train" args = [ - "configs/dataset/{dataset}.toml", - "configs/encoders/{modalities}.toml", - "configs/losses/classification/{loss}.toml", - "{classifier}", - "--seed {seed}", + "configs/dataset/{dataset}.toml", + "configs/encoders/{modalities}.toml", + "configs/losses/classification/{loss}.toml", + "{classifier}", + "--seed {seed}", ] + [tasks.MoE-unimodal.matrix] modalities = ["T", "A", "V"] -classifier = ["", "configs/classifier/4xE.toml", "configs/classifier/8xE.toml", "configs/classifier/64xE.toml"] +classifier = [ + "", + "configs/classifier/4xE.toml", + "configs/classifier/8xE.toml", + "configs/classifier/64xE.toml" +] [tasks.MoE-multimodal] command = "uv run emotion-recognize train" args = [ - "configs/dataset/{dataset}.toml", - "configs/encoders/{modalities}.toml", - "configs/fusion/vallina.toml", - "configs/losses/classification/{loss}.toml", - "{classifier}", - "--seed {seed}", + "configs/dataset/{dataset}.toml", + "configs/encoders/{modalities}.toml", + "configs/fusion/vallina.toml", + "configs/losses/classification/{loss}.toml", + "{classifier}", + "--seed {seed}", ] + [tasks.MoE-multimodal.matrix] modalities = ["T+A", "T+V", "T+A+V"] -classifier = ["", "configs/classifier/4xE.toml", "configs/classifier/8xE.toml", "configs/classifier/64xE.toml"] +classifier = [ + "", + "configs/classifier/4xE.toml", + "configs/classifier/8xE.toml", + "configs/classifier/64xE.toml" +] diff --git a/packages/emotion-recognition-utils/pyproject.toml b/packages/emotion-recognition-utils/pyproject.toml index dddcc6e..29184f1 100644 --- a/packages/emotion-recognition-utils/pyproject.toml +++ b/packages/emotion-recognition-utils/pyproject.toml @@ -5,11 +5,11 @@ description = "Utils for Emotion Recognition" readme = "README.md" requires-python = ">=3.12" dependencies = [ - "loguru>=0.7.0", - "rich>=13.7.1", - "pandas>=2.1.0", - "pandas-stubs>=2.2.3.241126", - "seaborn>=0.13.0", + "loguru>=0.7.0", + "pandas>=2.1.0", + "pandas-stubs>=2.2.3.241126", + "rich>=13.7.1", + "seaborn>=0.13.0", ] [build-system] diff --git a/pyproject.toml b/pyproject.toml index 51fbbc5..5e7e070 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,40 +1,29 @@ [project] name = "emotion-recognition" -version = "0.2.0" +version = "0.3.0" description = "" -authors = [{ name = "Zhan Rongrui", email = "2742392377@qq.com" }] -dependencies = [ - "transformers>=4.48.0", - "sentencepiece>=0.2.0", - "numpy>=2.1.2", - "torch==2.4.1; platform_system!='Windows'", - "torch==2.4.1+cu121; platform_system=='Windows'", - "peft>=0.8.2", - "safetensors>=0.4.2", - "soundfile>=0.12.1", - "faster-whisper>=1.0.3", - "pydantic>=2.0.0", - "loguru>=0.7.0", - "rich>=13.7.1", - "pillow>=10.2.0", - "typer>=0.12.4", - "rtoml>=0.11.0", - "pyyaml>=6.0.2", - "bitsandbytes>=0.44.1", - "emotion-recognition-utils", - "humanize>=4.11.0", -] -requires-python = ">=3.12" readme = "README.md" +requires-python = ">=3.12" license = { text = "MIT" } - -[project.optional-dependencies] -dev = ["viztracer>=0.16.3", "pyright>=1.1.384"] -train = [ - "opencv-python>=4.0.0", - "pandas>=2.0.0", - "pandas-stubs>=2.2.3.241126", - "torch-pruning>=1.4.2", +authors = [{ name = "Zhan Rongrui", email = "2742392377@qq.com" }] +dependencies = [ + "emotion-recognition-utils", + "faster-whisper>=1.0.3", + "humanize>=4.11.0", + "loguru>=0.7.0", + "numpy>=2.1.2", + "peft>=0.8.2", + "pillow>=10.2.0", + "pydantic>=2.0.0", + "pyyaml>=6.0.2", + "rich>=13.7.1", + "rtoml>=0.11.0", + "safetensors>=0.4.2", + "sentencepiece>=0.2.0", + "soundfile>=0.12.1", + "torch>=2.9.1", + "transformers>=4.48.0", + "typer>=0.12.4", ] [project.urls] @@ -45,24 +34,47 @@ Repository = "https://github.com/zrr1999/emotion-recognition.git" emotion-recognize = "recognize_cli.cli_recognize:app" emotion-tool = "recognize_cli.cli_tool:app" +[project.optional-dependencies] +train = [ + "bitsandbytes>=0.44.1", + "opencv-python>=4.0.0", + "pandas>=2.0.0", + "pandas-stubs>=2.2.3.241126", +] + +[dependency-groups] +dev = ["pyright>=1.1.384", "viztracer>=0.16.3"] + +[build-system] +requires = ["pdm-backend"] +build-backend = "pdm.backend" + +[tool.pdm.build] +package-dir = "src" +source-includes = ["tests", "README.md"] + +[tool.pyright] +typeCheckingMode = "standard" +reportPrivateImportUsage = false + [tool.ruff] line-length = 120 target-version = "py312" [tool.ruff.lint] select = [ - "F", # Pyflakes - "E", # Pycodestyle - "W", # Pycodestyle - "I", # Isort - "UP", # Pyupgrade - "B", # Flake8-bugbear - "C4", # Flake8-comprehensions - "YTT", # Flake8-2020 - "TID", # Flake8-tidy-imports - "PGH", # Pygrep-hooks - "RUF", # Ruff-specific rules - # "PTH" + "F", # Pyflakes + "E", # Pycodestyle + "W", # Pycodestyle + "I", # Isort + "UP", # Pyupgrade + "B", # Flake8-bugbear + "C4", # Flake8-comprehensions + "YTT", # Flake8-2020 + "TID", # Flake8-tidy-imports + "PGH", # Pygrep-hooks + "RUF", # Ruff-specific rules + # "PTH" ] ignore = ["F841", "PGH003", "B008", "RUF001"] @@ -83,28 +95,16 @@ indent-style = "space" skip-magic-trailing-comma = false line-ending = "auto" -[tool.pyright] -includes = ["src", "tests"] -typeCheckingMode = "standard" -reportPrivateImportUsage = false - -[tool.uv] -index-strategy = "unsafe-best-match" -extra-index-url = [ - "https://pypi.tuna.tsinghua.edu.cn/simple", - "https://download.pytorch.org/whl/cu121", -] +[[tool.uv.index]] +name = "pytorch-cu126" +url = "https://download.pytorch.org/whl/cu126" +explicit = true [tool.uv.sources] emotion-recognition-utils = { workspace = true } +torch = [ + { index = "pytorch-cu126", marker = "sys_platform == 'linux' or sys_platform == 'win32'" }, +] [tool.uv.workspace] members = ["packages/*"] - -[tool.pdm.build] -package-dir = "src" -source-includes = ["tests", "README.md"] - -[build-system] -requires = ["pdm-backend"] -build-backend = "pdm.backend" diff --git a/releaserc.toml b/releaserc.toml index 23ff59e..bb759d8 100644 --- a/releaserc.toml +++ b/releaserc.toml @@ -3,36 +3,36 @@ token = { env = "GH_TOKEN" } [semantic_release.commit_parser_options] allowed_tags = [ - ".+?breaking", - ".+?init", - ".+?feat", - ".+?fix", - ".+?refactor", - ".+?perf", - ".+?improve", - ".+?style", - ".+?test", - ".+?docs", - ".+?ci", - ".+?build", - ".+?chore", - ".+?deps", + ".+?breaking", + ".+?init", + ".+?feat", + ".+?fix", + ".+?refactor", + ".+?perf", + ".+?improve", + ".+?style", + ".+?test", + ".+?docs", + ".+?ci", + ".+?build", + ".+?chore", + ".+?deps", ] major_tags = [".+?breaking"] minor_tags = [ - ".+?init", - ".+?feat", + ".+?init", + ".+?feat", ] patch_tags = [ - ".+?fix", - ".+?refactor", - ".+?perf", - ".+?improve", - ".+?style", - ".+?test", - ".+?docs", - ".+?ci", - ".+?build", - ".+?chore", - ".+?deps", + ".+?fix", + ".+?refactor", + ".+?perf", + ".+?improve", + ".+?style", + ".+?test", + ".+?docs", + ".+?ci", + ".+?build", + ".+?chore", + ".+?deps", ] diff --git a/src/recognize/cache.py b/src/recognize/cache.py index 168a027..e9a6659 100644 --- a/src/recognize/cache.py +++ b/src/recognize/cache.py @@ -43,7 +43,7 @@ def set(self, key: str, value: StateDict): class CacheManager: cache: Cache - deivce_cache: Cache | None + device_cache: Cache | None maxsize: tuple[int, int] def __init__( @@ -57,9 +57,9 @@ def __init__( self.cache = Cache(maxsize=self.maxsize[0]) self.device = device if device.type == "cpu": - self.deivce_cache = None + self.device_cache = None else: - self.deivce_cache = Cache(maxsize=self.maxsize[1]) + self.device_cache = Cache(maxsize=self.maxsize[1]) self.cache_dir = cache_dir @property @@ -85,31 +85,31 @@ def save_disk_cache(self, key: str, value: StateDict): save_file(value, cache_file) def get(self, key: str) -> StateDict | None: - if self.deivce_cache is None: + if self.device_cache is None: if value := self.cache.get(key): return value if value := self.load_disk_cache(key): self.cache.set(key, value) return value else: - if value := self.deivce_cache.get(key): + if value := self.device_cache.get(key): return value if value := self.cache.get(key): value = {k: v.to(self.device) for k, v in value.items()} - self.deivce_cache.set(key, value) + self.device_cache.set(key, value) return value if value := self.load_disk_cache(key): self.cache.set(key, value) value = {k: v.to(self.device) for k, v in value.items()} - self.deivce_cache.set(key, value) + self.device_cache.set(key, value) return value return None def set(self, key: str, value: StateDict): self.cache.set(key, {k: v.to("cpu") for k, v in value.items()}) - if self.deivce_cache is not None: + if self.device_cache is not None: value = {k: v.to(self.device, copy=True) for k, v in value.items()} - self.deivce_cache.set(key, value) + self.device_cache.set(key, value) self.save_disk_cache(key, value) diff --git a/src/recognize/module/loss.py b/src/recognize/module/loss.py index e7aface..4183d21 100644 --- a/src/recognize/module/loss.py +++ b/src/recognize/module/loss.py @@ -122,12 +122,12 @@ class MultiLoss(nn.Module): def __init__(self, loss_num: int): super().__init__() self.loss_num = loss_num - self.sigmas_dota = nn.Parameter(torch.randn(self.loss_num)) + self.sigmas_data = nn.Parameter(torch.randn(self.loss_num)) def forward(self, losses: torch.Tensor) -> torch.Tensor: - factor = 0.5 / self.sigmas_dota + factor = 0.5 / self.sigmas_data loss_part = factor @ losses - regular_part = torch.sum(torch.log(self.sigmas_dota)) + regular_part = torch.sum(torch.log(self.sigmas_data)) loss = loss_part + regular_part return loss diff --git a/src/recognize/preprocessor.py b/src/recognize/preprocessor.py index 02fc251..fe7f94f 100644 --- a/src/recognize/preprocessor.py +++ 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