feat(depth-estimation): add deploy.sh for platform-aware install

macOS: installs coremltools + common deps only (fast ~10s),
auto-downloads DepthAnythingV2SmallF16.mlpackage from HF.
Other: full PyTorch stack via requirements.txt.

Author: solderzzc

skills/transformation/depth-estimation/deploy.sh

@@ -0,0 +1,91 @@
+#!/bin/bash
+# deploy.sh — Platform-aware dependency install for Depth Estimation
+#
+# macOS:  CoreML only (fast ~10s install, Neural Engine inference)
+# Other:  Full PyTorch stack (torch + torchvision + depth-anything-v2)
+#
+# The Aegis deployment agent calls this instead of raw pip install.
+
+set -e
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+VENV_DIR="$SCRIPT_DIR/.venv"
+MODELS_DIR="$HOME/.aegis-ai/models/feature-extraction"
+COREML_VARIANT="DepthAnythingV2SmallF16"
+COREML_HF_REPO="apple/coreml-depth-anything-v2-small"
+
+echo "=== Depth Estimation (Privacy) — Setup ==="
+echo "Platform: $(uname -s) / $(uname -m)"
+
+# ── Create venv ──────────────────────────────────────────────────────
+if [ ! -d "$VENV_DIR" ]; then
+    echo "Creating virtual environment..."
+    python3 -m venv "$VENV_DIR"
+fi
+
+PIP="$VENV_DIR/bin/pip"
+PYTHON="$VENV_DIR/bin/python"
+
+# Upgrade pip
+"$PIP" install --upgrade pip --quiet
+
+# ── Platform detection ───────────────────────────────────────────────
+if [ "$(uname -s)" = "Darwin" ]; then
+    echo ""
+    echo "=== macOS detected — CoreML backend (Neural Engine) ==="
+    echo "Installing CoreML dependencies only (fast)..."
+    "$PIP" install --quiet \
+        "coremltools>=8.0" \
+        "huggingface_hub>=0.20.0" \
+        "numpy>=1.24.0" \
+        "opencv-python-headless>=4.8.0" \
+        "Pillow>=10.0.0" \
+        "matplotlib>=3.7.0"
+
+    echo "✅ CoreML dependencies installed"
+
+    # ── Download CoreML model if not present ─────────────────────────
+    MODEL_PATH="$MODELS_DIR/$COREML_VARIANT.mlpackage"
+    if [ -d "$MODEL_PATH" ]; then
+        echo "✅ CoreML model already present: $MODEL_PATH"
+    else
+        echo "Downloading CoreML model: $COREML_VARIANT from $COREML_HF_REPO..."
+        mkdir -p "$MODELS_DIR"
+        "$PYTHON" -c "
+from huggingface_hub import snapshot_download
+snapshot_download(
+    '$COREML_HF_REPO',
+    local_dir='$MODELS_DIR',
+    allow_patterns=['$COREML_VARIANT.mlpackage/**'],
+)
+print('✅ CoreML model downloaded')
+"
+    fi
+
+    # Verify
+    "$PYTHON" -c "
+import coremltools, cv2, numpy, PIL
+from pathlib import Path
+model_path = Path('$MODEL_PATH')
+assert model_path.exists(), f'Model not found: {model_path}'
+print(f'✅ Verified: coremltools={coremltools.__version__}, model={model_path.name}')
+"
+
+else
+    echo ""
+    echo "=== Non-macOS — PyTorch backend ==="
+    echo "Installing full PyTorch dependencies..."
+    "$PIP" install --quiet -r "$SCRIPT_DIR/requirements.txt"
+
+    echo "✅ PyTorch dependencies installed"
+
+    # Verify
+    "$PYTHON" -c "
+import torch, cv2, numpy, PIL
+from depth_anything_v2.dpt import DepthAnythingV2
+print(f'✅ Verified: torch={torch.__version__}, CUDA={torch.cuda.is_available()}')
+"
+fi
+
+echo ""
+echo "=== Setup complete ==="