Upload code/detection_trt/install_mmdeploy.sh with huggingface_hub

code/detection_trt/install_mmdeploy.sh

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+#!/bin/bash
+# MMDeploy 安装脚本 - TensorRT 后端
+# 用于 DeCLIP/CLIP 检测器的 TRT 加速
+
+set -e
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+DECLIP_ROOT="$(dirname "$SCRIPT_DIR")"
+MMDEPLOY_DIR="${DECLIP_ROOT}/mmdeploy"
+
+echo "=========================================="
+echo "MMDeploy 安装脚本 (TensorRT Backend)"
+echo "=========================================="
+
+# 检查 Python 版本
+python_version=$(python3 --version 2>&1 | awk '{print $2}')
+echo "Python version: $python_version"
+
+# 检查 CUDA 版本
+if command -v nvcc &> /dev/null; then
+    cuda_version=$(nvcc --version | grep "release" | awk '{print $6}' | cut -c2-)
+    echo "CUDA version: $cuda_version"
+else
+    echo "Warning: nvcc not found. Please ensure CUDA is installed."
+fi
+
+# 检查 TensorRT
+if python3 -c "import tensorrt; print(f'TensorRT version: {tensorrt.__version__}')" 2>/dev/null; then
+    echo "TensorRT is available"
+else
+    echo "Warning: TensorRT not found. Please install TensorRT first."
+    echo "For CUDA 12.x, you can install via: pip install tensorrt"
+fi
+
+# 安装依赖
+echo ""
+echo "Installing dependencies..."
+pip install onnx onnxruntime onnx-simplifier
+
+# 克隆或更新 MMDeploy
+if [ -d "$MMDEPLOY_DIR" ]; then
+    echo "MMDeploy directory exists at $MMDEPLOY_DIR"
+    echo "Updating..."
+    cd "$MMDEPLOY_DIR"
+    git pull origin main || true
+else
+    echo "Cloning MMDeploy..."
+    cd "$DECLIP_ROOT"
+    git clone https://github.com/open-mmlab/mmdeploy.git
+fi
+
+cd "$MMDEPLOY_DIR"
+
+# 安装 MMDeploy
+echo ""
+echo "Installing MMDeploy..."
+pip install -e . -v
+
+# 安装 MMDeploy 运行时 (可选)
+if [ -f "build/lib/libmmdeploy.so" ]; then
+    echo "MMDeploy runtime already built"
+else
+    echo ""
+    echo "Building MMDeploy SDK (optional, for C++ deployment)..."
+    echo "Skipping SDK build. Use pre-built Python bindings instead."
+fi
+
+# 验证安装
+echo ""
+echo "Verifying installation..."
+python3 -c "
+import mmdeploy
+print(f'MMDeploy version: {mmdeploy.__version__}')
+
+# 检查 TensorRT 后端
+try:
+    from mmdeploy.backend.tensorrt import TRTWrapper
+    print('TensorRT backend: Available')
+except ImportError as e:
+    print(f'TensorRT backend: Not available ({e})')
+
+# 检查 ONNX Runtime 后端
+try:
+    from mmdeploy.backend.onnxruntime import ORTWrapper
+    print('ONNX Runtime backend: Available')
+except ImportError as e:
+    print(f'ONNX Runtime backend: Not available ({e})')
+"
+
+echo ""
+echo "=========================================="
+echo "Installation complete!"
+echo "=========================================="
+echo ""
+echo "Next steps:"
+echo "1. Prepare your DeCLIP/CLIP model checkpoint"
+echo "2. Run: python convert_model.py --config configs/fvit_tensorrt_fp16.py"
+echo "3. Run: python benchmark_speed.py"
+echo ""