Update
Browse files- .pre-commit-config.yaml +9 -36
- .python-version +1 -0
- .style.yapf +0 -5
- .vscode/extensions.json +8 -0
- .vscode/settings.json +3 -16
- README.md +1 -1
- app.py +14 -17
- pyproject.toml +67 -0
- requirements.txt +187 -3
- uv.lock +0 -0
.pre-commit-config.yaml
CHANGED
@@ -1,6 +1,6 @@
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repos:
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- repo: https://github.com/pre-commit/pre-commit-hooks
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-
rev:
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hooks:
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- id: check-executables-have-shebangs
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- id: check-json
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@@ -13,48 +13,21 @@ repos:
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args: ["--fix=lf"]
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- id: requirements-txt-fixer
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- id: trailing-whitespace
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-
- repo: https://github.com/
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rev:
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hooks:
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- id:
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-
args: ["--
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-
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-
rev: 5.13.2
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-
hooks:
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- id: isort
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args: ["--profile", "black"]
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- repo: https://github.com/pre-commit/mirrors-mypy
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-
rev: v1.
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hooks:
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- id: mypy
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args: ["--ignore-missing-imports"]
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additional_dependencies:
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[
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"types-python-slugify",
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-
"types-requests",
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"types-PyYAML",
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"types-pytz",
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]
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- repo: https://github.com/psf/black
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-
rev: 24.2.0
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-
hooks:
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-
- id: black
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-
language_version: python3.10
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args: ["--line-length", "119"]
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-
- repo: https://github.com/kynan/nbstripout
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rev: 0.7.1
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-
hooks:
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-
- id: nbstripout
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-
args:
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[
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"--extra-keys",
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"metadata.interpreter metadata.kernelspec cell.metadata.pycharm",
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]
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- repo: https://github.com/nbQA-dev/nbQA
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-
rev: 1.7.1
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-
hooks:
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-
- id: nbqa-black
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-
- id: nbqa-pyupgrade
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args: ["--py37-plus"]
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-
- id: nbqa-isort
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args: ["--float-to-top"]
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repos:
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- repo: https://github.com/pre-commit/pre-commit-hooks
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+
rev: v5.0.0
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hooks:
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- id: check-executables-have-shebangs
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- id: check-json
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args: ["--fix=lf"]
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- id: requirements-txt-fixer
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- id: trailing-whitespace
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+
- repo: https://github.com/astral-sh/ruff-pre-commit
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+
rev: v0.9.9
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hooks:
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+
- id: ruff
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args: ["--fix"]
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+
- id: ruff-format
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- repo: https://github.com/pre-commit/mirrors-mypy
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+
rev: v1.15.0
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hooks:
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- id: mypy
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args: ["--ignore-missing-imports"]
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additional_dependencies:
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[
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"types-python-slugify",
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"types-pytz",
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"types-PyYAML",
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"types-requests",
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]
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.python-version
ADDED
@@ -0,0 +1 @@
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+
3.10
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.style.yapf
DELETED
@@ -1,5 +0,0 @@
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[style]
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based_on_style = pep8
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-
blank_line_before_nested_class_or_def = false
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-
spaces_before_comment = 2
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-
split_before_logical_operator = true
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.vscode/extensions.json
ADDED
@@ -0,0 +1,8 @@
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{
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"recommendations": [
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"ms-python.python",
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"charliermarsh.ruff",
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"streetsidesoftware.code-spell-checker",
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"tamasfe.even-better-toml"
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]
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}
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.vscode/settings.json
CHANGED
@@ -2,29 +2,16 @@
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"editor.formatOnSave": true,
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"files.insertFinalNewline": false,
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"[python]": {
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-
"editor.defaultFormatter": "
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"editor.formatOnType": true,
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"editor.codeActionsOnSave": {
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"source.organizeImports": "explicit"
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}
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},
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"[jupyter]": {
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"files.insertFinalNewline": false
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},
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-
"black-formatter.args": [
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-
"--line-length=119"
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-
],
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-
"isort.args": ["--profile", "black"],
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-
"flake8.args": [
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-
"--max-line-length=119"
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-
],
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-
"ruff.lint.args": [
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-
"--line-length=119"
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-
],
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"notebook.output.scrolling": true,
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-
"notebook.
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"notebook.formatOnSave.enabled": true,
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-
"notebook.codeActionsOnSave": {
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-
"source.organizeImports": "explicit"
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-
}
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}
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"editor.formatOnSave": true,
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"files.insertFinalNewline": false,
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"[python]": {
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"editor.defaultFormatter": "charliermarsh.ruff",
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"editor.formatOnType": true,
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"editor.codeActionsOnSave": {
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+
"source.fixAll.ruff": "explicit",
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"source.organizeImports": "explicit"
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}
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},
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"[jupyter]": {
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"files.insertFinalNewline": false
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},
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"notebook.output.scrolling": true,
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"notebook.formatOnSave.enabled": true
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}
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README.md
CHANGED
@@ -4,7 +4,7 @@ emoji: 🌍
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colorFrom: green
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colorTo: yellow
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sdk: gradio
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-
sdk_version:
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app_file: app.py
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pinned: false
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---
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colorFrom: green
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colorTo: yellow
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sdk: gradio
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+
sdk_version: 5.20.0
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app_file: app.py
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pinned: false
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---
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app.py
CHANGED
@@ -1,8 +1,5 @@
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#!/usr/bin/env python
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-
from __future__ import annotations
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-
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-
import functools
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import os
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import pathlib
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import shlex
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@@ -10,8 +7,9 @@ import subprocess
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import tarfile
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if os.getenv("SYSTEM") == "spaces":
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-
subprocess.run(shlex.split("pip install git+https://github.com/facebookresearch/[email protected]"))
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-
subprocess.run(shlex.split("pip install git+https://github.com/aim-uofa/AdelaiDet@7bf9d87"))
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import gradio as gr
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import huggingface_hub
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@@ -33,7 +31,7 @@ def load_sample_image_paths() -> list[pathlib.Path]:
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dataset_repo = "hysts/sample-images-TADNE"
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path = huggingface_hub.hf_hub_download(dataset_repo, "images.tar.gz", repo_type="dataset")
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with tarfile.open(path) as f:
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-
f.extractall()
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return sorted(image_dir.glob("*"))
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@@ -48,8 +46,12 @@ def load_model(device: torch.device) -> DefaultPredictor:
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return DefaultPredictor(cfg)
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def predict(
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-
image_path: str, class_score_threshold: float, mask_score_threshold: float
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) -> tuple[np.ndarray, np.ndarray]:
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model.score_threshold = class_score_threshold
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model.mask_threshold = mask_score_threshold
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@@ -69,21 +71,17 @@ def predict(
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image_paths = load_sample_image_paths()
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-
examples = [[path
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-
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-
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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-
model = load_model(device)
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-
fn = functools.partial(predict, model=model)
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-
with gr.Blocks(
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gr.Markdown(DESCRIPTION)
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with gr.Row():
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with gr.Column():
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image = gr.Image(label="Input", type="filepath")
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class_score_threshold = gr.Slider(label="Score Threshold", minimum=0, maximum=1, step=0.05, value=0.1)
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mask_score_threshold = gr.Slider(label="Mask Score Threshold", minimum=0, maximum=1, step=0.05, value=0.5)
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-
run_button = gr.Button(
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with gr.Column():
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result_instances = gr.Image(label="Instances")
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result_masked = gr.Image(label="Masked")
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@@ -94,14 +92,13 @@ with gr.Blocks(css="style.css") as demo:
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examples=examples,
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inputs=inputs,
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outputs=outputs,
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-
fn=
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cache_examples=os.getenv("CACHE_EXAMPLES") == "1",
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)
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run_button.click(
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-
fn=
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inputs=inputs,
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outputs=outputs,
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api_name="predict",
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)
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if __name__ == "__main__":
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#!/usr/bin/env python
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import os
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import pathlib
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import shlex
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import tarfile
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if os.getenv("SYSTEM") == "spaces":
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subprocess.run(shlex.split("pip install git+https://github.com/facebookresearch/[email protected]"), check=True) # noqa: S603
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subprocess.run(shlex.split("pip install git+https://github.com/aim-uofa/AdelaiDet@7bf9d87"), check=True) # noqa: S603
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subprocess.run(shlex.split("pip install Pillow==9.5.0"), check=True) # noqa: S603
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import gradio as gr
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import huggingface_hub
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dataset_repo = "hysts/sample-images-TADNE"
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path = huggingface_hub.hf_hub_download(dataset_repo, "images.tar.gz", repo_type="dataset")
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with tarfile.open(path) as f:
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f.extractall() # noqa: S202
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return sorted(image_dir.glob("*"))
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36 |
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return DefaultPredictor(cfg)
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+
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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+
model = load_model(device)
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51 |
+
|
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+
|
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def predict(
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+
image_path: str, class_score_threshold: float, mask_score_threshold: float
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) -> tuple[np.ndarray, np.ndarray]:
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model.score_threshold = class_score_threshold
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model.mask_threshold = mask_score_threshold
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image_paths = load_sample_image_paths()
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examples = [[path, 0.1, 0.5] for path in image_paths]
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with gr.Blocks(css_paths="style.css") as demo:
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gr.Markdown(DESCRIPTION)
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with gr.Row():
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with gr.Column():
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image = gr.Image(label="Input", type="filepath")
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class_score_threshold = gr.Slider(label="Score Threshold", minimum=0, maximum=1, step=0.05, value=0.1)
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mask_score_threshold = gr.Slider(label="Mask Score Threshold", minimum=0, maximum=1, step=0.05, value=0.5)
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+
run_button = gr.Button()
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with gr.Column():
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result_instances = gr.Image(label="Instances")
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result_masked = gr.Image(label="Masked")
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examples=examples,
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inputs=inputs,
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outputs=outputs,
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+
fn=predict,
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cache_examples=os.getenv("CACHE_EXAMPLES") == "1",
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)
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run_button.click(
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fn=predict,
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inputs=inputs,
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outputs=outputs,
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)
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if __name__ == "__main__":
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pyproject.toml
ADDED
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[project]
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name = "yet-another-anime-segmenter"
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version = "0.1.0"
|
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description = ""
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readme = "README.md"
|
6 |
+
requires-python = ">=3.10"
|
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+
dependencies = [
|
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"gradio>=5.20.0",
|
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"hf-transfer>=0.1.9",
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"numpy<2",
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"opencv-python-headless>=4.11.0.86",
|
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+
"pillow==9.5.0",
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"torch==1.13.1",
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+
"torchvision>=0.14.1",
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]
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+
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+
[tool.ruff]
|
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+
line-length = 119
|
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+
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[tool.ruff.lint]
|
21 |
+
select = ["ALL"]
|
22 |
+
ignore = [
|
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+
"COM812", # missing-trailing-comma
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24 |
+
"D203", # one-blank-line-before-class
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25 |
+
"D213", # multi-line-summary-second-line
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+
"E501", # line-too-long
|
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+
"SIM117", # multiple-with-statements
|
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+
]
|
29 |
+
extend-ignore = [
|
30 |
+
"D100", # undocumented-public-module
|
31 |
+
"D101", # undocumented-public-class
|
32 |
+
"D102", # undocumented-public-method
|
33 |
+
"D103", # undocumented-public-function
|
34 |
+
"D104", # undocumented-public-package
|
35 |
+
"D105", # undocumented-magic-method
|
36 |
+
"D107", # undocumented-public-init
|
37 |
+
"EM101", # raw-string-in-exception
|
38 |
+
"FBT001", # boolean-type-hint-positional-argument
|
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+
"FBT002", # boolean-default-value-positional-argument
|
40 |
+
"PD901", # pandas-df-variable-name
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41 |
+
"PGH003", # blanket-type-ignore
|
42 |
+
"PLR0913", # too-many-arguments
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43 |
+
"PLR0915", # too-many-statements
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+
"TRY003", # raise-vanilla-args
|
45 |
+
]
|
46 |
+
unfixable = [
|
47 |
+
"F401", # unused-import
|
48 |
+
]
|
49 |
+
|
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+
[tool.ruff.lint.pydocstyle]
|
51 |
+
convention = "google"
|
52 |
+
|
53 |
+
[tool.ruff.lint.per-file-ignores]
|
54 |
+
"*.ipynb" = ["T201", "T203"]
|
55 |
+
|
56 |
+
[tool.ruff.format]
|
57 |
+
docstring-code-format = true
|
58 |
+
|
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+
[tool.uv.sources]
|
60 |
+
adelaidet = { git = "https://github.com/aim-uofa/AdelaiDet", rev = "7bf9d87" }
|
61 |
+
detectron2 = { git = "https://github.com/facebookresearch/detectron2", rev = "v0.6" }
|
62 |
+
|
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+
[dependency-groups]
|
64 |
+
dev = [
|
65 |
+
"adelaidet",
|
66 |
+
"detectron2",
|
67 |
+
]
|
requirements.txt
CHANGED
@@ -1,5 +1,189 @@
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-
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-
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-
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|
4 |
torch==1.13.1
|
|
|
|
|
|
|
5 |
torchvision==0.14.1
|
|
|
|
|
|
|
|
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|
|
1 |
+
# This file was autogenerated by uv via the following command:
|
2 |
+
# uv pip compile pyproject.toml -o requirements.txt
|
3 |
+
aiofiles==23.2.1
|
4 |
+
# via gradio
|
5 |
+
annotated-types==0.7.0
|
6 |
+
# via pydantic
|
7 |
+
anyio==4.8.0
|
8 |
+
# via
|
9 |
+
# gradio
|
10 |
+
# httpx
|
11 |
+
# starlette
|
12 |
+
certifi==2025.1.31
|
13 |
+
# via
|
14 |
+
# httpcore
|
15 |
+
# httpx
|
16 |
+
# requests
|
17 |
+
charset-normalizer==3.4.1
|
18 |
+
# via requests
|
19 |
+
click==8.1.8
|
20 |
+
# via
|
21 |
+
# typer
|
22 |
+
# uvicorn
|
23 |
+
exceptiongroup==1.2.2
|
24 |
+
# via anyio
|
25 |
+
fastapi==0.115.11
|
26 |
+
# via gradio
|
27 |
+
ffmpy==0.5.0
|
28 |
+
# via gradio
|
29 |
+
filelock==3.17.0
|
30 |
+
# via huggingface-hub
|
31 |
+
fsspec==2025.2.0
|
32 |
+
# via
|
33 |
+
# gradio-client
|
34 |
+
# huggingface-hub
|
35 |
+
gradio==5.20.0
|
36 |
+
# via yet-another-anime-segmenter (pyproject.toml)
|
37 |
+
gradio-client==1.7.2
|
38 |
+
# via gradio
|
39 |
+
groovy==0.1.2
|
40 |
+
# via gradio
|
41 |
+
h11==0.14.0
|
42 |
+
# via
|
43 |
+
# httpcore
|
44 |
+
# uvicorn
|
45 |
+
hf-transfer==0.1.9
|
46 |
+
# via yet-another-anime-segmenter (pyproject.toml)
|
47 |
+
httpcore==1.0.7
|
48 |
+
# via httpx
|
49 |
+
httpx==0.28.1
|
50 |
+
# via
|
51 |
+
# gradio
|
52 |
+
# gradio-client
|
53 |
+
# safehttpx
|
54 |
+
huggingface-hub==0.29.1
|
55 |
+
# via
|
56 |
+
# gradio
|
57 |
+
# gradio-client
|
58 |
+
idna==3.10
|
59 |
+
# via
|
60 |
+
# anyio
|
61 |
+
# httpx
|
62 |
+
# requests
|
63 |
+
jinja2==3.1.5
|
64 |
+
# via gradio
|
65 |
+
markdown-it-py==3.0.0
|
66 |
+
# via rich
|
67 |
+
markupsafe==2.1.5
|
68 |
+
# via
|
69 |
+
# gradio
|
70 |
+
# jinja2
|
71 |
+
mdurl==0.1.2
|
72 |
+
# via markdown-it-py
|
73 |
+
numpy==1.26.4
|
74 |
+
# via
|
75 |
+
# yet-another-anime-segmenter (pyproject.toml)
|
76 |
+
# gradio
|
77 |
+
# opencv-python-headless
|
78 |
+
# pandas
|
79 |
+
# torchvision
|
80 |
+
nvidia-cublas-cu11==11.10.3.66
|
81 |
+
# via
|
82 |
+
# nvidia-cudnn-cu11
|
83 |
+
# torch
|
84 |
+
nvidia-cuda-nvrtc-cu11==11.7.99
|
85 |
+
# via torch
|
86 |
+
nvidia-cuda-runtime-cu11==11.7.99
|
87 |
+
# via torch
|
88 |
+
nvidia-cudnn-cu11==8.5.0.96
|
89 |
+
# via torch
|
90 |
+
opencv-python-headless==4.11.0.86
|
91 |
+
# via yet-another-anime-segmenter (pyproject.toml)
|
92 |
+
orjson==3.10.15
|
93 |
+
# via gradio
|
94 |
+
packaging==24.2
|
95 |
+
# via
|
96 |
+
# gradio
|
97 |
+
# gradio-client
|
98 |
+
# huggingface-hub
|
99 |
+
pandas==2.2.3
|
100 |
+
# via gradio
|
101 |
+
pillow==9.5.0
|
102 |
+
# via
|
103 |
+
# yet-another-anime-segmenter (pyproject.toml)
|
104 |
+
# gradio
|
105 |
+
# torchvision
|
106 |
+
pydantic==2.10.6
|
107 |
+
# via
|
108 |
+
# fastapi
|
109 |
+
# gradio
|
110 |
+
pydantic-core==2.27.2
|
111 |
+
# via pydantic
|
112 |
+
pydub==0.25.1
|
113 |
+
# via gradio
|
114 |
+
pygments==2.19.1
|
115 |
+
# via rich
|
116 |
+
python-dateutil==2.9.0.post0
|
117 |
+
# via pandas
|
118 |
+
python-multipart==0.0.20
|
119 |
+
# via gradio
|
120 |
+
pytz==2025.1
|
121 |
+
# via pandas
|
122 |
+
pyyaml==6.0.2
|
123 |
+
# via
|
124 |
+
# gradio
|
125 |
+
# huggingface-hub
|
126 |
+
requests==2.32.3
|
127 |
+
# via
|
128 |
+
# huggingface-hub
|
129 |
+
# torchvision
|
130 |
+
rich==13.9.4
|
131 |
+
# via typer
|
132 |
+
ruff==0.9.9
|
133 |
+
# via gradio
|
134 |
+
safehttpx==0.1.6
|
135 |
+
# via gradio
|
136 |
+
semantic-version==2.10.0
|
137 |
+
# via gradio
|
138 |
+
setuptools==75.8.2
|
139 |
+
# via
|
140 |
+
# nvidia-cublas-cu11
|
141 |
+
# nvidia-cuda-runtime-cu11
|
142 |
+
shellingham==1.5.4
|
143 |
+
# via typer
|
144 |
+
six==1.17.0
|
145 |
+
# via python-dateutil
|
146 |
+
sniffio==1.3.1
|
147 |
+
# via anyio
|
148 |
+
starlette==0.46.0
|
149 |
+
# via
|
150 |
+
# fastapi
|
151 |
+
# gradio
|
152 |
+
tomlkit==0.13.2
|
153 |
+
# via gradio
|
154 |
torch==1.13.1
|
155 |
+
# via
|
156 |
+
# yet-another-anime-segmenter (pyproject.toml)
|
157 |
+
# torchvision
|
158 |
torchvision==0.14.1
|
159 |
+
# via yet-another-anime-segmenter (pyproject.toml)
|
160 |
+
tqdm==4.67.1
|
161 |
+
# via huggingface-hub
|
162 |
+
typer==0.15.2
|
163 |
+
# via gradio
|
164 |
+
typing-extensions==4.12.2
|
165 |
+
# via
|
166 |
+
# anyio
|
167 |
+
# fastapi
|
168 |
+
# gradio
|
169 |
+
# gradio-client
|
170 |
+
# huggingface-hub
|
171 |
+
# pydantic
|
172 |
+
# pydantic-core
|
173 |
+
# rich
|
174 |
+
# torch
|
175 |
+
# torchvision
|
176 |
+
# typer
|
177 |
+
# uvicorn
|
178 |
+
tzdata==2025.1
|
179 |
+
# via pandas
|
180 |
+
urllib3==2.3.0
|
181 |
+
# via requests
|
182 |
+
uvicorn==0.34.0
|
183 |
+
# via gradio
|
184 |
+
websockets==15.0
|
185 |
+
# via gradio-client
|
186 |
+
wheel==0.45.1
|
187 |
+
# via
|
188 |
+
# nvidia-cublas-cu11
|
189 |
+
# nvidia-cuda-runtime-cu11
|
uv.lock
ADDED
The diff for this file is too large to render.
See raw diff
|
|