Fix line endings: setup_base.sh

scripts/setup_base.sh

@@ -1,60 +1,60 @@
-#!/bin/bash
-# Dataset-Prep v3 — Base setup (extract, CLIP, bodycrop, clean)
-# Works on any image with Python 3.10+. No GPU-specific image needed.
-set -e
-
-echo "=== Dataset-Prep v3: Base Setup ==="
-
-# System deps
-apt-get update -qq && apt-get install -y -qq curl git ffmpeg libgl1 libglib2.0-0 bc > /dev/null 2>&1
-pip install -q --upgrade pip
-pip install -q uv > /dev/null 2>&1
-
-# Auto-upgrade PyTorch for Blackwell GPUs (sm_120+)
-GPU_ARCH=$(python3 -c "import subprocess; o=subprocess.check_output(['nvidia-smi','--query-gpu=compute_cap','--format=csv,noheader,nounits'],text=True).strip(); print(o)" 2>/dev/null || echo "0")
-if [ "$(echo "$GPU_ARCH >= 12.0" | bc 2>/dev/null)" = "1" ]; then
-    echo "Blackwell GPU detected (sm_${GPU_ARCH}) — upgrading PyTorch to cu128..."
-    pip install --upgrade torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu128 -q 2>/dev/null || true
-fi
-
-# Backend framework
-echo "Installing backend deps..."
-uv pip install --system -q \
-    fastapi 'uvicorn[standard]' websockets httpx pydantic \
-    pillow opencv-python-headless numpy huggingface-hub python-multipart \
-    > /dev/null 2>&1
-
-# Processing deps (all lightweight — extract, CLIP, bodycrop, clean)
-echo "Installing processing deps..."
-uv pip install --system -q \
-    imagehash \
-    open-clip-torch transformers accelerate safetensors \
-    nudenet mediapipe onnxruntime-gpu \
-    > /dev/null 2>&1
-
-# Download backend code from HF
-echo "Downloading backend code..."
-mkdir -p /workspace/dataset-prep-v3
-cd /workspace/dataset-prep-v3
-python3 -c "
-from huggingface_hub import hf_hub_download
-import tarfile
-path = hf_hub_download('msrcam/ds-prep-backend', 'backend.tar.gz', repo_type='dataset')
-with tarfile.open(path) as t:
-    t.extractall('/workspace/dataset-prep-v3')
-print('Backend code ready.')
-" || echo "WARNING: Failed to download backend from HF"
-
-mkdir -p /workspace/dataset-prep-v3/data/settings /workspace/dataset-prep-v3/data/presets
-
-# Write HF config for private repo access
-if [ -n "$HF_TOKEN" ]; then
-    python3 -c "import json; json.dump({'repo':'msrcam/shared-datasets','token':'$HF_TOKEN'}, open('/workspace/dataset-prep-v3/data/hf_config.json','w'))"
-    echo "HF token configured."
-fi
-
-# Start backend
-cd /workspace/dataset-prep-v3
-nohup python -m uvicorn backend.main:app --host 0.0.0.0 --port 7870 > /tmp/ds-v3.log 2>&1 &
-echo $! > /tmp/ds-health.pid
-echo "=== Backend running on port 7870 ==="
+#!/bin/bash
+# Dataset-Prep v3 — Base setup (extract, CLIP, bodycrop, clean)
+# Works on any image with Python 3.10+. No GPU-specific image needed.
+set -e
+
+echo "=== Dataset-Prep v3: Base Setup ==="
+
+# System deps
+apt-get update -qq && apt-get install -y -qq curl git ffmpeg libgl1 libglib2.0-0 bc > /dev/null 2>&1
+pip install -q --upgrade pip
+pip install -q uv > /dev/null 2>&1
+
+# Auto-upgrade PyTorch for Blackwell GPUs (sm_120+)
+GPU_ARCH=$(python3 -c "import subprocess; o=subprocess.check_output(['nvidia-smi','--query-gpu=compute_cap','--format=csv,noheader,nounits'],text=True).strip(); print(o)" 2>/dev/null || echo "0")
+if [ "$(echo "$GPU_ARCH >= 12.0" | bc 2>/dev/null)" = "1" ]; then
+    echo "Blackwell GPU detected (sm_${GPU_ARCH}) — upgrading PyTorch to cu128..."
+    pip install --upgrade torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu128 -q 2>/dev/null || true
+fi
+
+# Backend framework
+echo "Installing backend deps..."
+uv pip install --system -q \
+    fastapi 'uvicorn[standard]' websockets httpx pydantic \
+    pillow opencv-python-headless numpy huggingface-hub python-multipart \
+    > /dev/null 2>&1
+
+# Processing deps (all lightweight — extract, CLIP, bodycrop, clean)
+echo "Installing processing deps..."
+uv pip install --system -q \
+    imagehash \
+    open-clip-torch transformers accelerate safetensors \
+    nudenet mediapipe onnxruntime-gpu \
+    > /dev/null 2>&1
+
+# Download backend code from HF
+echo "Downloading backend code..."
+mkdir -p /workspace/dataset-prep-v3
+cd /workspace/dataset-prep-v3
+python3 -c "
+from huggingface_hub import hf_hub_download
+import tarfile
+path = hf_hub_download('msrcam/ds-prep-backend', 'backend.tar.gz', repo_type='dataset')
+with tarfile.open(path) as t:
+    t.extractall('/workspace/dataset-prep-v3')
+print('Backend code ready.')
+" || echo "WARNING: Failed to download backend from HF"
+
+mkdir -p /workspace/dataset-prep-v3/data/settings /workspace/dataset-prep-v3/data/presets
+
+# Write HF config for private repo access
+if [ -n "$HF_TOKEN" ]; then
+    python3 -c "import json; json.dump({'repo':'msrcam/shared-datasets','token':'$HF_TOKEN'}, open('/workspace/dataset-prep-v3/data/hf_config.json','w'))"
+    echo "HF token configured."
+fi
+
+# Start backend
+cd /workspace/dataset-prep-v3
+nohup python -m uvicorn backend.main:app --host 0.0.0.0 --port 7870 > /tmp/ds-v3.log 2>&1 &
+echo $! > /tmp/ds-health.pid
+echo "=== Backend running on port 7870 ==="