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Running on Zero
Running on Zero
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49d36c0 | 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 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 | #!/usr/bin/env bash
# One-step macOS setup for GEM on Apple Silicon.
#
# This script handles everything:
# 1. Checks prerequisites (Python 3.12+, uv, Git LFS, Apple Silicon)
# 2. Creates virtual environment
# 3. Installs PyTorch, SOMA, GEM, and all dependencies
# 4. Downloads ONNX models from HuggingFace
# 5. Sets up SOMA assets symlink
# 6. Creates RAM disk and installs packages for fast imports (optional)
#
# After running this script, launch the demo with:
# python scripts/demo/demo_soma_onnx.py --video path/to/video.mp4
#
# Usage:
# bash scripts/setup_mac.sh # Full setup
# bash scripts/setup_mac.sh --no-ramdisk # Skip RAM disk creation
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
REPO_DIR="$(cd "$SCRIPT_DIR/.." && pwd)"
cd "$REPO_DIR"
RAMDISK_MOUNT="/Volumes/TorchRAM"
SKIP_RAMDISK=false
for arg in "$@"; do
case "$arg" in
--no-ramdisk) SKIP_RAMDISK=true ;;
esac
done
# ---------------------------------------------------------------------------
# Color helpers
# ---------------------------------------------------------------------------
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
RED='\033[0;31m'
NC='\033[0m' # No Color
ok() { echo -e "${GREEN}[OK]${NC} $1"; }
warn() { echo -e "${YELLOW}[WARN]${NC} $1"; }
fail() { echo -e "${RED}[FAIL]${NC} $1"; exit 1; }
step() { echo -e "\n${GREEN}==>${NC} $1"; }
# ---------------------------------------------------------------------------
# Step 0: Prerequisites
# ---------------------------------------------------------------------------
step "Checking prerequisites..."
# Apple Silicon
if [[ "$(uname -m)" != "arm64" ]]; then
fail "This script requires Apple Silicon (arm64). Detected: $(uname -m)"
fi
ok "Apple Silicon (arm64)"
# macOS version
MACOS_VERSION=$(sw_vers -productVersion | cut -d. -f1)
if [[ "$MACOS_VERSION" -lt 13 ]]; then
fail "macOS 13 (Ventura) or later required. Detected: $(sw_vers -productVersion)"
fi
ok "macOS $(sw_vers -productVersion)"
# Python 3.12+
if command -v python3.12 &>/dev/null; then
PYTHON_CMD="python3.12"
elif command -v python3 &>/dev/null; then
PY_VER=$(python3 -c 'import sys; print(sys.version_info.minor)')
if [[ "$PY_VER" -ge 12 ]]; then
PYTHON_CMD="python3"
else
fail "Python 3.12+ required. Found: python3.$(python3 -c 'import sys; print(sys.version_info.minor)')"
fi
else
fail "Python 3.12+ not found. Install with: brew install python@3.12"
fi
ok "Python ($($PYTHON_CMD --version))"
# uv package manager
if ! command -v uv &>/dev/null; then
warn "'uv' not found. Installing..."
curl -LsSf https://astral.sh/uv/install.sh | sh
export PATH="$HOME/.local/bin:$PATH"
if ! command -v uv &>/dev/null; then
fail "Failed to install uv. Install manually: https://github.com/astral-sh/uv"
fi
fi
ok "uv $(uv --version 2>/dev/null | head -1)"
# Git LFS
if ! command -v git-lfs &>/dev/null; then
warn "Git LFS not found. Installing via Homebrew..."
if command -v brew &>/dev/null; then
brew install git-lfs
git lfs install
else
fail "Git LFS required. Install with: brew install git-lfs"
fi
fi
ok "Git LFS"
# ---------------------------------------------------------------------------
# Step 1: Submodules
# ---------------------------------------------------------------------------
step "Initializing submodules..."
git submodule update --init --recursive 2>/dev/null || true
ok "Submodules initialized"
# ---------------------------------------------------------------------------
# Step 2: Virtual environment
# ---------------------------------------------------------------------------
step "Setting up virtual environment..."
if [ -d ".venv" ] && [ -f ".venv/bin/python" ]; then
ok "Virtual environment already exists at .venv/"
else
uv venv .venv --python 3.12
ok "Created .venv/"
fi
VENV_PYTHON="$REPO_DIR/.venv/bin/python"
# shellcheck disable=SC1091
source .venv/bin/activate
# ---------------------------------------------------------------------------
# Step 3: PyTorch (MPS backend)
# ---------------------------------------------------------------------------
step "Installing PyTorch..."
if uv pip show torch &>/dev/null; then
TORCH_VER=$(uv pip show torch 2>/dev/null | grep Version | awk '{print $2}')
ok "PyTorch already installed ($TORCH_VER)"
else
uv pip install torch torchvision
ok "PyTorch installed"
fi
ok "MPS (Metal) backend available on Apple Silicon"
# ---------------------------------------------------------------------------
# Step 4: SOMA body model
# ---------------------------------------------------------------------------
step "Installing SOMA body model..."
if uv pip show py-soma-x &>/dev/null; then
ok "SOMA already installed"
else
uv pip install -e third_party/soma
ok "SOMA installed"
fi
# Pull LFS files
if [ -f "third_party/soma/assets/SOMA_neutral.npz" ] && [ "$(wc -c < "third_party/soma/assets/SOMA_neutral.npz")" -gt 1000 ]; then
ok "SOMA LFS assets already pulled"
else
echo " Pulling SOMA Git LFS files..."
(cd third_party/soma && git lfs pull)
ok "SOMA LFS assets pulled"
fi
# ---------------------------------------------------------------------------
# Step 5: GEM + dependencies
# ---------------------------------------------------------------------------
step "Installing GEM and dependencies..."
# Check for the editable install marker and a key dependency
if [ -f ".venv/lib/python3.12/site-packages/__editable___gem_0_1_0_finder.py" ] \
&& [ -d ".venv/lib/python3.12/site-packages/roma" ]; then
ok "GEM and dependencies already installed"
else
uv pip install -e . 2>&1 | tail -1
uv pip install cloudpickle fvcore iopath pycocotools braceexpand roma 'setuptools<75' 2>&1 | tail -1
ok "GEM and dependencies installed"
fi
# ---------------------------------------------------------------------------
# Step 6: ONNX Runtime
# ---------------------------------------------------------------------------
step "Installing ONNX Runtime..."
if uv pip show onnxruntime &>/dev/null; then
ok "ONNX Runtime already installed"
else
uv pip install onnxruntime
ok "ONNX Runtime installed"
fi
# FP16 conversion dependencies (for auto-converting VitPose on first run)
if uv pip show onnx onnxconverter-common &>/dev/null; then
ok "FP16 conversion tools already installed"
else
uv pip install onnx onnxconverter-common 2>&1 | tail -1
ok "FP16 conversion tools installed"
fi
# ---------------------------------------------------------------------------
# Step 7: Download ONNX models
# ---------------------------------------------------------------------------
step "Checking ONNX models..."
if [ -f "inputs/onnx/vitpose.onnx" ] && [ -f "inputs/onnx/gem_denoiser_no_imgfeat.onnx" ]; then
ok "ONNX models already present"
else
echo " ONNX models not found — they will auto-download on first demo run."
echo " To download now (requires internet, ~4.6 GB):"
echo " source .venv/bin/activate"
echo " python -c \"from gem.utils.hf_utils import download_all_onnx; download_all_onnx()\""
warn "ONNX models will be downloaded on first run"
fi
# ---------------------------------------------------------------------------
# Step 8: SOMA assets symlink
# ---------------------------------------------------------------------------
step "Setting up SOMA assets..."
if [ -L "inputs/soma_assets" ] || [ -d "inputs/soma_assets" ]; then
ok "inputs/soma_assets already exists"
else
mkdir -p inputs
ln -sf "$REPO_DIR/third_party/soma/assets" inputs/soma_assets
ok "Symlinked inputs/soma_assets -> third_party/soma/assets"
fi
# ---------------------------------------------------------------------------
# Step 9: RAM disk
# ---------------------------------------------------------------------------
if [ "$SKIP_RAMDISK" = true ]; then
warn "Skipping RAM disk setup (--no-ramdisk)"
else
step "Setting up RAM disk for fast imports..."
if [ -d "$RAMDISK_MOUNT" ]; then
ok "RAM disk already mounted at $RAMDISK_MOUNT"
else
echo " Creating 2 GB RAM disk at $RAMDISK_MOUNT..."
DISK=$(hdiutil attach -nomount ram://4194304)
DISK=$(echo "$DISK" | xargs)
diskutil eraseDisk HFS+ TorchRAM "$DISK" >/dev/null 2>&1
ok "RAM disk created"
echo " Installing packages to RAM disk (this takes ~1-2 minutes)..."
uv pip install --target "$RAMDISK_MOUNT" \
torch numpy onnxruntime opencv-python scipy einops viser \
torchvision typing_extensions pyyaml pillow packaging trimesh \
warp-lang \
--no-deps --python "$VENV_PYTHON" --quiet 2>&1 | grep -v "^warning:" || true
ok "Packages installed to RAM disk"
fi
fi
# ---------------------------------------------------------------------------
# Done
# ---------------------------------------------------------------------------
echo ""
echo -e "${GREEN}========================================${NC}"
echo -e "${GREEN} Setup complete!${NC}"
echo -e "${GREEN}========================================${NC}"
echo ""
echo "Run the ONNX accelerated demo with:"
echo ""
echo " source .venv/bin/activate"
echo " python scripts/demo/demo_soma_onnx.py --video path/to/video.mp4"
echo ""
echo "ONNX models will auto-download on first run if not already present."
echo "VitPose FP16 conversion happens automatically on first run (~2-3 min, one-time)."
echo ""
echo "See docs/INSTALL_MACOS.md for detailed setup and troubleshooting."
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