Add Python 3.12 support and modern package management

This commit adds support for Python 3.12 and provides an alternative
installation method using UV, while maintaining full backward
compatibility with existing pip-based workflows.

Changes:
- Add pyproject.toml with PEP 621 compliant project metadata
- Fix numpy compatibility: constrain to <2.0 for Python 3.12 support
- Relax torch/torchvision constraints to allow Python 3.12 compatible versions
- Fix OpenCV version constraints to avoid known compatibility issues
- Add UV as an optional, faster installation method in README
- Update .gitignore for modern Python tooling

All changes maintain backward compatibility with pip and requirements.txt.
Tested with Python 3.12.9 on macOS with the Dolphin-1.5 model.

Author: csajedi

.gitignore

@@ -152,3 +152,7 @@ Desktop.ini
 
 fusion_result.json
 kernel_meta/
+
+# UV package manager
+uv.lock
+.python-version

README.md

@@ -121,7 +121,7 @@ Try our demo on [Demo-Dolphin](https://huggingface.co/spaces/ByteDance/Dolphin).
 3. Download the pre-trained models of *Dolphin-v2*:
 
    Visit our Huggingface [model card](https://huggingface.co/ByteDance/Dolphin-v2), or download model by:
-   
+
    ```bash
    # Download the model from Hugging Face Hub
    git lfs install
@@ -131,27 +131,51 @@ Try our demo on [Demo-Dolphin](https://huggingface.co/spaces/ByteDance/Dolphin).
    huggingface-cli download ByteDance/Dolphin-v2 --local-dir ./hf_model
    ```
 
+### Alternative: Using UV
+
+For faster dependency resolution, you can use [UV](https://docs.astral.sh/uv/) as an alternative to pip:
+
+1. Install UV:
+   ```bash
+   # On macOS and Linux
+   curl -LsSf https://astral.sh/uv/install.sh | sh
+
+   # On Windows
+   powershell -c "irm https://astral.sh/uv/install.ps1 | iex"
+   ```
+
+2. Install dependencies:
+   ```bash
+   uv sync
+   ```
+
+3. Download the model:
+   ```bash
+   uv run huggingface-cli download ByteDance/Dolphin-v2 --local-dir ./hf_model
+   ```
+
 ## ⚡ Inference
 
 Dolphin provides two inference frameworks with support for two parsing granularities:
 - **Page-level Parsing**: Parse the entire document page into a structured JSON and Markdown format
 - **Element-level Parsing**: Parse individual document elements (text, table, formula)
 
+**Note:** If you installed using UV, prefix all python commands with `uv run`, e.g., `uv run python demo_page.py ...`
 
 ### 📄 Page-level Parsing
 
 ```bash
 # Process a single document image
 python demo_page.py --model_path ./hf_model --save_dir ./results \
-    --input_path ./demo/page_imgs/page_1.png 
+    --input_path ./demo/page_imgs/page_1.png
 
 # Process a single document pdf
 python demo_page.py --model_path ./hf_model --save_dir ./results \
-    --input_path ./demo/page_imgs/page_6.pdf 
+    --input_path ./demo/page_imgs/page_6.pdf
 
 # Process all documents in a directory
 python demo_page.py --model_path ./hf_model --save_dir ./results \
-    --input_path ./demo/page_imgs 
+    --input_path ./demo/page_imgs
 
 # Process with custom batch size for parallel element decoding
 python demo_page.py --model_path ./hf_model --save_dir ./results \
@@ -173,14 +197,14 @@ python demo_element.py --model_path ./hf_model --save_dir ./results \
 # Process a single document image
 python demo_layout.py --model_path ./hf_model --save_dir ./results \
     --input_path ./demo/page_imgs/page_1.png \
-    
+
 # Process a single PDF document
 python demo_layout.py --model_path ./hf_model --save_dir ./results \
     --input_path ./demo/page_imgs/page_6.pdf \
 
 # Process all documents in a directory
 python demo_layout.py --model_path ./hf_model --save_dir ./results \
-    --input_path ./demo/page_imgs 
+    --input_path ./demo/page_imgs
 ````
 
 

pyproject.toml

@@ -1,3 +1,24 @@
+[project]
+name = "dolphin"
+version = "1.5.0"
+description = "Document Image Parsing via Heterogeneous Anchor Prompting"
+readme = "README.md"
+requires-python = ">=3.9"
+license = { text = "MIT" }
+dependencies = [
+    "numpy>=1.26.4,<2.0",
+    "omegaconf==2.3.0",
+    "opencv-python>=4.8.0,<4.11",
+    "opencv-python-headless>=4.5.5,<4.6",
+    "pillow>=9.3.0",
+    "timm==0.5.4",
+    "torch>=2.1.0",
+    "torchvision>=0.16.0",
+    "transformers==4.47.0",
+    "accelerate==1.6.0",
+    "pymupdf==1.26",
+]
+
 [tool.black]
 line-length = 120
 include = '\.pyi?$'