Spaces:
Running
on
Zero
Running
on
Zero
gradio==5.24.0
Browse files- .pre-commit-config.yaml +11 -33
- .python-version +1 -0
- .vscode/extensions.json +8 -0
- .vscode/settings.json +10 -14
- README.md +1 -2
- app.py +75 -56
- pyproject.toml +54 -0
- requirements.txt +233 -6
- style.css +1 -7
- 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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@@ -13,43 +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: 5.12.0
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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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-
["types-python-slugify", "types-requests", "types-PyYAML"]
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- repo: https://github.com/psf/black
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rev: 23.9.1
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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: 0.6.1
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hooks:
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- id: nbstripout
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args:
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[
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"
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"
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]
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- repo: https://github.com/nbQA-dev/nbQA
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rev: 1.7.0
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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: v0.11.2
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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
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3.10
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.vscode/extensions.json
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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
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{
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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.
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}
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},
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"
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"
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"
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"
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"--max-line-length=119"
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],
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"ruff.args": [
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"--line-length=119"
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],
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"editor.formatOnSave": true,
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"files.insertFinalNewline": true
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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
@@ -4,8 +4,7 @@ emoji: 📉
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colorFrom: indigo
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colorTo: blue
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sdk: gradio
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sdk_version:
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python_version: 3.10.13
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app_file: app.py
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pinned: false
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license: mit
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colorFrom: indigo
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colorTo: blue
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sdk: gradio
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sdk_version: 5.24.0
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app_file: app.py
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pinned: false
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license: mit
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app.py
CHANGED
@@ -12,12 +12,33 @@ from transformers import VitMatteForImageMatting, VitMatteImageProcessor
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DESCRIPTION = """\
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# [ViTMatte](https://github.com/hustvl/ViTMatte)
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This is
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If you wish to replace background of the image, simply select the checkbox and drag and drop your background image.
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You can draw your own foreground mask and unknown (border) mask using the canvas.
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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 = VitMatteForImageMatting.from_pretrained(MODEL_ID).to(device)
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def
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if max(image.size) > MAX_IMAGE_SIZE:
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-
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def binarize_mask(mask: np.ndarray) -> np.ndarray:
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mask[mask < 128] = 0
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mask[mask > 0] = 1
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return mask
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-
def update_trimap(
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foreground =
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foreground = binarize_mask(foreground)
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unknown =
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unknown = binarize_mask(unknown)
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trimap = np.zeros_like(foreground)
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@@ -65,8 +95,7 @@ def adjust_background_image(background_image: PIL.Image.Image, target_size: tupl
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top = (new_bg_h - target_h) // 2
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right = left + target_w
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bottom = top + target_h
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-
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return background_image
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def replace_background(
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image = np.array(image).astype(float) / 255
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background_image = np.array(background_image).astype(float) / 255
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result = image * alpha[:, :, None] + background_image * (1 - alpha[:, :, None])
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-
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return result
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@spaces.GPU
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if image.size != trimap.size:
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raise gr.Error("Image and trimap must have the same size.")
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if max(image.size) > MAX_IMAGE_SIZE:
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-
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if image.mode != "RGB":
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raise gr.Error("Image must be RGB.")
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if trimap.mode != "L":
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foreground = (foreground * 255).astype(np.uint8)
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foreground = PIL.Image.fromarray(foreground)
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if apply_background_replacement
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res_bg_replacement = replace_background(image, alpha, background_image)
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-
else:
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res_bg_replacement = None
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return alpha, foreground, res_bg_replacement
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-
with gr.Blocks(
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gr.Markdown(DESCRIPTION)
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gr.DuplicateButton(
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value="Duplicate Space for private use",
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elem_id="duplicate-button",
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visible=os.getenv("SHOW_DUPLICATE_BUTTON") == "1",
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)
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with gr.Row():
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with gr.Column():
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with gr.
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image = gr.Image(label="Input image", type="pil"
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with gr.Tabs():
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with gr.Tab(label="Trimap"):
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trimap = gr.Image(label="Trimap", type="pil", image_mode="L"
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with gr.Tab(label="Draw trimap"):
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-
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foreground_mask = gr.Image(
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label="Foreground",
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tool="sketch",
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type="numpy",
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-
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-
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height=500,
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)
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unknown_mask = gr.
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label="Unknown",
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tool="sketch",
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type="numpy",
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-
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-
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height=500,
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)
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-
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apply_background_replacement = gr.Checkbox(label="
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background_image = gr.Image(label="Background image", type="pil",
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run_button = gr.Button("Run")
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with gr.Column():
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-
with gr.
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out_alpha = gr.Image(label="Alpha"
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out_foreground = gr.Image(label="Foreground"
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out_background_replacement = gr.Image(label="Background replacement",
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inputs = [
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image,
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@@ -186,34 +210,30 @@ with gr.Blocks(css="style.css") as demo:
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inputs=inputs,
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outputs=outputs,
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fn=run,
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-
cache_examples=
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)
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-
image.
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fn=
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inputs=image,
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-
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api_name=False,
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-
)
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load_image_button.click(
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fn=lambda image: (image, image),
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inputs=image,
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outputs=[foreground_mask, unknown_mask],
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-
queue=False,
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api_name=False,
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)
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-
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fn=update_trimap,
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inputs=[foreground_mask, unknown_mask],
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outputs=trimap,
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queue=False,
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api_name=False,
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)
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apply_background_replacement.change(
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fn=lambda checked: (gr.Image(visible=checked), gr.Image(visible=checked)),
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inputs=apply_background_replacement,
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outputs=[background_image, out_background_replacement],
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-
queue=False,
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api_name=False,
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)
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@@ -221,8 +241,7 @@ with gr.Blocks(css="style.css") as demo:
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fn=run,
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inputs=inputs,
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outputs=outputs,
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-
api_name="run",
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)
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if __name__ == "__main__":
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-
demo.
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DESCRIPTION = """\
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# [ViTMatte](https://github.com/hustvl/ViTMatte)
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This is a demo of [ViTMatte](https://github.com/hustvl/ViTMatte), an image matting method that uses Vision Transformers (ViT) to accurately extract the foreground from an image.
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It predicts a soft alpha matte to help separate the subject from the background — even tricky areas like hair and fur!
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You've got two ways to get started:
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### 🖼️ Option 1: Upload Image & Trimap
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- Upload your original image.
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- Upload a **trimap**: a helper image that labels regions as **foreground (white)**, **background (black)**, and **unknown (gray)**.
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- The trimap must be a **grayscale image** containing only three pixel values:
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- `0` for **background**
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- `128` for **unknown**
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- `255` for **foreground**
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- The model will use this trimap to generate the alpha matte and extract the foreground.
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### ✏️ Option 2: Draw Your Own Trimap
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- Upload just your image.
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- Go to the **"Draw Trimap"** tab to start drawing masks.
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- Use the tools to mark:
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- **Foreground** (e.g. the subject),
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- **Unknown** (areas where the boundary is unclear).
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- Once you're done, click the **"Generate Trimap"** button to generate the trimap from your drawing.
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### ✨ Optional: Replace Background
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Want to swap the background? Just check the **"Replace Background"** option and choose a new background image.
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The app will blend your extracted subject with the new background seamlessly!
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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 = VitMatteForImageMatting.from_pretrained(MODEL_ID).to(device)
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def resize_input_image(image: PIL.Image.Image | None) -> PIL.Image.Image:
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if image is None:
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return None
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if max(image.size) > MAX_IMAGE_SIZE:
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w, h = image.size
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scale = MAX_IMAGE_SIZE / max(w, h)
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new_w = int(w * scale)
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new_h = int(h * scale)
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gr.Info(
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f"The uploaded image exceeded the maximum resolution limit of {MAX_IMAGE_SIZE}px. It has been resized to {new_w}x{new_h}."
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)
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return image.resize((new_w, new_h))
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return image
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def binarize_mask(mask: np.ndarray) -> np.ndarray:
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mask[mask > 0] = 1
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return mask
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+
def update_trimap(foreground_mask_editor: gr.ImageEditor, unknown_mask_editor: gr.ImageEditor) -> np.ndarray:
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foreground = foreground_mask_editor["layers"][0]
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foreground = binarize_mask(foreground)
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unknown = unknown_mask_editor["layers"][0]
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unknown = binarize_mask(unknown)
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trimap = np.zeros_like(foreground)
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top = (new_bg_h - target_h) // 2
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right = left + target_w
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bottom = top + target_h
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return background_image.crop((left, top, right, bottom))
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99 |
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100 |
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def replace_background(
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image = np.array(image).astype(float) / 255
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background_image = np.array(background_image).astype(float) / 255
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result = image * alpha[:, :, None] + background_image * (1 - alpha[:, :, None])
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+
return (result * 255).astype(np.uint8)
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|
118 |
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@spaces.GPU
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127 |
if image.size != trimap.size:
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raise gr.Error("Image and trimap must have the same size.")
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129 |
if max(image.size) > MAX_IMAGE_SIZE:
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+
error_message = f"Image size is too large. Max image size is {MAX_IMAGE_SIZE} pixels."
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raise gr.Error(error_message)
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if image.mode != "RGB":
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raise gr.Error("Image must be RGB.")
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if trimap.mode != "L":
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foreground = (foreground * 255).astype(np.uint8)
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foreground = PIL.Image.fromarray(foreground)
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+
res_bg_replacement = replace_background(image, alpha, background_image) if apply_background_replacement else None
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return alpha, foreground, res_bg_replacement
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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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+
with gr.Group():
|
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image = gr.Image(label="Input image", type="pil")
|
160 |
with gr.Tabs():
|
161 |
with gr.Tab(label="Trimap"):
|
162 |
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trimap = gr.Image(label="Trimap", type="pil", image_mode="L")
|
163 |
with gr.Tab(label="Draw trimap"):
|
164 |
+
foreground_mask = gr.ImageEditor(
|
|
|
165 |
label="Foreground",
|
|
|
166 |
type="numpy",
|
167 |
+
sources=("upload",),
|
168 |
+
transforms=(),
|
169 |
+
image_mode="L",
|
170 |
height=500,
|
171 |
+
brush=gr.Brush(default_color=("#00ff00", 0.6)),
|
172 |
+
layers=gr.LayerOptions(allow_additional_layers=False, layers=["Foreground mask"]),
|
173 |
)
|
174 |
+
unknown_mask = gr.ImageEditor(
|
175 |
label="Unknown",
|
|
|
176 |
type="numpy",
|
177 |
+
sources=("upload",),
|
178 |
+
transforms=(),
|
179 |
+
image_mode="L",
|
180 |
height=500,
|
181 |
+
brush=gr.Brush(default_color=("#00ff00", 0.6)),
|
182 |
+
layers=gr.LayerOptions(allow_additional_layers=False, layers=["Unknown mask"]),
|
183 |
)
|
184 |
+
generate_trimap_button = gr.Button("Generate trimap")
|
185 |
+
apply_background_replacement = gr.Checkbox(label="Replace background", value=False)
|
186 |
+
background_image = gr.Image(label="Background image", type="pil", visible=False)
|
187 |
run_button = gr.Button("Run")
|
188 |
with gr.Column():
|
189 |
+
with gr.Group():
|
190 |
+
out_alpha = gr.Image(label="Alpha")
|
191 |
+
out_foreground = gr.Image(label="Foreground")
|
192 |
+
out_background_replacement = gr.Image(label="Background replacement", visible=False)
|
193 |
|
194 |
inputs = [
|
195 |
image,
|
|
|
210 |
inputs=inputs,
|
211 |
outputs=outputs,
|
212 |
fn=run,
|
213 |
+
cache_examples=False,
|
214 |
)
|
215 |
|
216 |
+
image.input(
|
217 |
+
fn=resize_input_image,
|
218 |
inputs=image,
|
219 |
+
outputs=image,
|
220 |
api_name=False,
|
221 |
+
).then(
|
|
|
222 |
fn=lambda image: (image, image),
|
223 |
inputs=image,
|
224 |
outputs=[foreground_mask, unknown_mask],
|
|
|
225 |
api_name=False,
|
226 |
)
|
227 |
+
generate_trimap_button.click(
|
228 |
fn=update_trimap,
|
229 |
inputs=[foreground_mask, unknown_mask],
|
230 |
outputs=trimap,
|
|
|
231 |
api_name=False,
|
232 |
)
|
233 |
apply_background_replacement.change(
|
234 |
fn=lambda checked: (gr.Image(visible=checked), gr.Image(visible=checked)),
|
235 |
inputs=apply_background_replacement,
|
236 |
outputs=[background_image, out_background_replacement],
|
|
|
237 |
api_name=False,
|
238 |
)
|
239 |
|
|
|
241 |
fn=run,
|
242 |
inputs=inputs,
|
243 |
outputs=outputs,
|
|
|
244 |
)
|
245 |
|
246 |
if __name__ == "__main__":
|
247 |
+
demo.launch()
|
pyproject.toml
ADDED
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
[project]
|
2 |
+
name = "vitmatte"
|
3 |
+
version = "0.1.0"
|
4 |
+
description = "Add your description here"
|
5 |
+
readme = "README.md"
|
6 |
+
requires-python = ">=3.10"
|
7 |
+
dependencies = [
|
8 |
+
"gradio>=5.24.0",
|
9 |
+
"hf-transfer>=0.1.9",
|
10 |
+
"spaces>=0.34.2",
|
11 |
+
"torch==2.4.0",
|
12 |
+
"transformers>=4.51.1",
|
13 |
+
]
|
14 |
+
|
15 |
+
[tool.ruff]
|
16 |
+
line-length = 119
|
17 |
+
|
18 |
+
[tool.ruff.lint]
|
19 |
+
select = ["ALL"]
|
20 |
+
ignore = [
|
21 |
+
"COM812", # missing-trailing-comma
|
22 |
+
"D203", # one-blank-line-before-class
|
23 |
+
"D213", # multi-line-summary-second-line
|
24 |
+
"E501", # line-too-long
|
25 |
+
"SIM117", # multiple-with-statements
|
26 |
+
#
|
27 |
+
"D100", # undocumented-public-module
|
28 |
+
"D101", # undocumented-public-class
|
29 |
+
"D102", # undocumented-public-method
|
30 |
+
"D103", # undocumented-public-function
|
31 |
+
"D104", # undocumented-public-package
|
32 |
+
"D105", # undocumented-magic-method
|
33 |
+
"D107", # undocumented-public-init
|
34 |
+
"EM101", # raw-string-in-exception
|
35 |
+
"FBT001", # boolean-type-hint-positional-argument
|
36 |
+
"FBT002", # boolean-default-value-positional-argument
|
37 |
+
"PD901", # pandas-df-variable-name
|
38 |
+
"PGH003", # blanket-type-ignore
|
39 |
+
"PLR0913", # too-many-arguments
|
40 |
+
"PLR0915", # too-many-statements
|
41 |
+
"TRY003", # raise-vanilla-args
|
42 |
+
]
|
43 |
+
unfixable = [
|
44 |
+
"F401", # unused-import
|
45 |
+
]
|
46 |
+
|
47 |
+
[tool.ruff.lint.pydocstyle]
|
48 |
+
convention = "google"
|
49 |
+
|
50 |
+
[tool.ruff.lint.per-file-ignores]
|
51 |
+
"*.ipynb" = ["T201", "T203"]
|
52 |
+
|
53 |
+
[tool.ruff.format]
|
54 |
+
docstring-code-format = true
|
requirements.txt
CHANGED
@@ -1,6 +1,233 @@
|
|
1 |
-
|
2 |
-
|
3 |
-
|
4 |
-
|
5 |
-
|
6 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# This file was autogenerated by uv via the following command:
|
2 |
+
# uv pip compile pyproject.toml -o requirements.txt
|
3 |
+
aiofiles==24.1.0
|
4 |
+
# via gradio
|
5 |
+
annotated-types==0.7.0
|
6 |
+
# via pydantic
|
7 |
+
anyio==4.9.0
|
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==0.115.12
|
26 |
+
# via gradio
|
27 |
+
ffmpy==0.5.0
|
28 |
+
# via gradio
|
29 |
+
filelock==3.18.0
|
30 |
+
# via
|
31 |
+
# huggingface-hub
|
32 |
+
# torch
|
33 |
+
# transformers
|
34 |
+
# triton
|
35 |
+
fsspec==2025.3.2
|
36 |
+
# via
|
37 |
+
# gradio-client
|
38 |
+
# huggingface-hub
|
39 |
+
# torch
|
40 |
+
gradio==5.24.0
|
41 |
+
# via
|
42 |
+
# vitmatte (pyproject.toml)
|
43 |
+
# spaces
|
44 |
+
gradio-client==1.8.0
|
45 |
+
# via gradio
|
46 |
+
groovy==0.1.2
|
47 |
+
# via gradio
|
48 |
+
h11==0.14.0
|
49 |
+
# via
|
50 |
+
# httpcore
|
51 |
+
# uvicorn
|
52 |
+
hf-transfer==0.1.9
|
53 |
+
# via vitmatte (pyproject.toml)
|
54 |
+
httpcore==1.0.7
|
55 |
+
# via httpx
|
56 |
+
httpx==0.28.1
|
57 |
+
# via
|
58 |
+
# gradio
|
59 |
+
# gradio-client
|
60 |
+
# safehttpx
|
61 |
+
# spaces
|
62 |
+
huggingface-hub==0.30.2
|
63 |
+
# via
|
64 |
+
# gradio
|
65 |
+
# gradio-client
|
66 |
+
# tokenizers
|
67 |
+
# transformers
|
68 |
+
idna==3.10
|
69 |
+
# via
|
70 |
+
# anyio
|
71 |
+
# httpx
|
72 |
+
# requests
|
73 |
+
jinja2==3.1.6
|
74 |
+
# via
|
75 |
+
# gradio
|
76 |
+
# torch
|
77 |
+
markdown-it-py==3.0.0
|
78 |
+
# via rich
|
79 |
+
markupsafe==3.0.2
|
80 |
+
# via
|
81 |
+
# gradio
|
82 |
+
# jinja2
|
83 |
+
mdurl==0.1.2
|
84 |
+
# via markdown-it-py
|
85 |
+
mpmath==1.3.0
|
86 |
+
# via sympy
|
87 |
+
networkx==3.4.2
|
88 |
+
# via torch
|
89 |
+
numpy==2.2.4
|
90 |
+
# via
|
91 |
+
# gradio
|
92 |
+
# pandas
|
93 |
+
# transformers
|
94 |
+
nvidia-cublas-cu12==12.1.3.1
|
95 |
+
# via
|
96 |
+
# nvidia-cudnn-cu12
|
97 |
+
# nvidia-cusolver-cu12
|
98 |
+
# torch
|
99 |
+
nvidia-cuda-cupti-cu12==12.1.105
|
100 |
+
# via torch
|
101 |
+
nvidia-cuda-nvrtc-cu12==12.1.105
|
102 |
+
# via torch
|
103 |
+
nvidia-cuda-runtime-cu12==12.1.105
|
104 |
+
# via torch
|
105 |
+
nvidia-cudnn-cu12==9.1.0.70
|
106 |
+
# via torch
|
107 |
+
nvidia-cufft-cu12==11.0.2.54
|
108 |
+
# via torch
|
109 |
+
nvidia-curand-cu12==10.3.2.106
|
110 |
+
# via torch
|
111 |
+
nvidia-cusolver-cu12==11.4.5.107
|
112 |
+
# via torch
|
113 |
+
nvidia-cusparse-cu12==12.1.0.106
|
114 |
+
# via
|
115 |
+
# nvidia-cusolver-cu12
|
116 |
+
# torch
|
117 |
+
nvidia-nccl-cu12==2.20.5
|
118 |
+
# via torch
|
119 |
+
nvidia-nvjitlink-cu12==12.8.93
|
120 |
+
# via
|
121 |
+
# nvidia-cusolver-cu12
|
122 |
+
# nvidia-cusparse-cu12
|
123 |
+
nvidia-nvtx-cu12==12.1.105
|
124 |
+
# via torch
|
125 |
+
orjson==3.10.16
|
126 |
+
# via gradio
|
127 |
+
packaging==24.2
|
128 |
+
# via
|
129 |
+
# gradio
|
130 |
+
# gradio-client
|
131 |
+
# huggingface-hub
|
132 |
+
# spaces
|
133 |
+
# transformers
|
134 |
+
pandas==2.2.3
|
135 |
+
# via gradio
|
136 |
+
pillow==11.1.0
|
137 |
+
# via gradio
|
138 |
+
psutil==5.9.8
|
139 |
+
# via spaces
|
140 |
+
pydantic==2.11.3
|
141 |
+
# via
|
142 |
+
# fastapi
|
143 |
+
# gradio
|
144 |
+
# spaces
|
145 |
+
pydantic-core==2.33.1
|
146 |
+
# via pydantic
|
147 |
+
pydub==0.25.1
|
148 |
+
# via gradio
|
149 |
+
pygments==2.19.1
|
150 |
+
# via rich
|
151 |
+
python-dateutil==2.9.0.post0
|
152 |
+
# via pandas
|
153 |
+
python-multipart==0.0.20
|
154 |
+
# via gradio
|
155 |
+
pytz==2025.2
|
156 |
+
# via pandas
|
157 |
+
pyyaml==6.0.2
|
158 |
+
# via
|
159 |
+
# gradio
|
160 |
+
# huggingface-hub
|
161 |
+
# transformers
|
162 |
+
regex==2024.11.6
|
163 |
+
# via transformers
|
164 |
+
requests==2.32.3
|
165 |
+
# via
|
166 |
+
# huggingface-hub
|
167 |
+
# spaces
|
168 |
+
# transformers
|
169 |
+
rich==14.0.0
|
170 |
+
# via typer
|
171 |
+
ruff==0.11.4
|
172 |
+
# via gradio
|
173 |
+
safehttpx==0.1.6
|
174 |
+
# via gradio
|
175 |
+
safetensors==0.5.3
|
176 |
+
# via transformers
|
177 |
+
semantic-version==2.10.0
|
178 |
+
# via gradio
|
179 |
+
shellingham==1.5.4
|
180 |
+
# via typer
|
181 |
+
six==1.17.0
|
182 |
+
# via python-dateutil
|
183 |
+
sniffio==1.3.1
|
184 |
+
# via anyio
|
185 |
+
spaces==0.34.2
|
186 |
+
# via vitmatte (pyproject.toml)
|
187 |
+
starlette==0.46.1
|
188 |
+
# via
|
189 |
+
# fastapi
|
190 |
+
# gradio
|
191 |
+
sympy==1.13.3
|
192 |
+
# via torch
|
193 |
+
tokenizers==0.21.1
|
194 |
+
# via transformers
|
195 |
+
tomlkit==0.13.2
|
196 |
+
# via gradio
|
197 |
+
torch==2.4.0
|
198 |
+
# via vitmatte (pyproject.toml)
|
199 |
+
tqdm==4.67.1
|
200 |
+
# via
|
201 |
+
# huggingface-hub
|
202 |
+
# transformers
|
203 |
+
transformers==4.51.1
|
204 |
+
# via vitmatte (pyproject.toml)
|
205 |
+
triton==3.0.0
|
206 |
+
# via torch
|
207 |
+
typer==0.15.2
|
208 |
+
# via gradio
|
209 |
+
typing-extensions==4.13.1
|
210 |
+
# via
|
211 |
+
# anyio
|
212 |
+
# fastapi
|
213 |
+
# gradio
|
214 |
+
# gradio-client
|
215 |
+
# huggingface-hub
|
216 |
+
# pydantic
|
217 |
+
# pydantic-core
|
218 |
+
# rich
|
219 |
+
# spaces
|
220 |
+
# torch
|
221 |
+
# typer
|
222 |
+
# typing-inspection
|
223 |
+
# uvicorn
|
224 |
+
typing-inspection==0.4.0
|
225 |
+
# via pydantic
|
226 |
+
tzdata==2025.2
|
227 |
+
# via pandas
|
228 |
+
urllib3==2.3.0
|
229 |
+
# via requests
|
230 |
+
uvicorn==0.34.0
|
231 |
+
# via gradio
|
232 |
+
websockets==15.0.1
|
233 |
+
# via gradio-client
|
style.css
CHANGED
@@ -1,10 +1,4 @@
|
|
1 |
h1 {
|
2 |
text-align: center;
|
3 |
-
|
4 |
-
|
5 |
-
#duplicate-button {
|
6 |
-
margin: auto;
|
7 |
-
color: #fff;
|
8 |
-
background: #1565c0;
|
9 |
-
border-radius: 100vh;
|
10 |
}
|
|
|
1 |
h1 {
|
2 |
text-align: center;
|
3 |
+
display: block;
|
|
|
|
|
|
|
|
|
|
|
|
|
4 |
}
|
uv.lock
ADDED
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|
|