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51a27d1 3decd42 51a27d1 3decd42 51a27d1 3decd42 7330a0e 3decd42 51a27d1 3decd42 7ec3e35 7330a0e 3decd42 51a27d1 3decd42 7330a0e 51a27d1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 | [build-system]
requires = ["hatchling>=1.27"]
build-backend = "hatchling.build"
[project]
name = "bridgelink-asl"
version = "0.2.0"
description = "Real-time ASL word recognition with MediaPipe landmarks and a Transformer classifier."
readme = "README.md"
requires-python = ">=3.10"
license = { text = "MIT" }
authors = [
{ name = "Dalen Gordon", email = "dgordo34@charlotte.edu" },
{ name = "Ervin Gordon III", email = "egordo17@charlotte.edu" },
{ name = "Frank Garcia", email = "fgarci11@charlotte.edu" },
{ name = "Omar Fraij", email = "ofraij@charlotte.edu" },
]
dependencies = [
"gradio>=4.44",
"numpy>=1.26,<2",
"opencv-contrib-python==4.11.0.86",
"mediapipe==0.10.14",
"protobuf>=3.20,<5",
"torch>=2.2",
"huggingface_hub>=0.24",
]
[project.optional-dependencies]
speech = ["pyttsx3>=2.90"]
cloud = ["elevenlabs>=1.7.0"]
training = ["tensorflow>=2.16,<2.20", "matplotlib>=3.8"]
vlm = [
"transformers>=4.51,<5",
"accelerate>=0.30",
"safetensors>=0.4",
]
dev = ["pytest>=8.3"]
[project.scripts]
bridgelink-demo = "bridgelink_asl.cli.run_demo:main"
run_demo = "bridgelink_asl.cli.run_demo:main"
train_model = "bridgelink_asl.cli.train_model:main"
evaluate_model = "bridgelink_asl.cli.evaluate_model:main"
train_cnn_model = "bridgelink_asl.cli.train_cnn_model:main"
run_wrapper = "bridgelink_asl.cli.run_wrapper:main"
[tool.hatch.build.targets.wheel]
packages = ["src/bridgelink_asl"]
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