fix: use nvdec

build-nvdec.sh

@@ -0,0 +1,44 @@
+#!/bin/bash
+
+# Build script for Docker image with NVDEC hardware acceleration support
+
+echo "Building Docker image with NVDEC hardware acceleration support..."
+echo "========================================================="
+
+# Build the base image first (with all ML and hardware acceleration dependencies)
+echo "Building base image with NVDEC support..."
+docker build -f Dockerfile.base -t detector-worker-base:nvdec .
+
+if [ $? -ne 0 ]; then
+    echo "Failed to build base image"
+    exit 1
+fi
+
+# Build the main application image
+echo "Building application image..."
+docker build -t detector-worker:nvdec .
+
+if [ $? -ne 0 ]; then
+    echo "Failed to build application image"
+    exit 1
+fi
+
+echo ""
+echo "========================================================="
+echo "Build complete!"
+echo ""
+echo "To run the container with GPU support:"
+echo "docker run --gpus all -p 8000:8000 detector-worker:nvdec"
+echo ""
+echo "Hardware acceleration features enabled:"
+echo "- NVDEC for H.264/H.265 video decoding"
+echo "- NVENC for video encoding (if needed)"
+echo "- TurboJPEG for fast JPEG encoding"
+echo "- CUDA for model inference"
+echo ""
+echo "The application will automatically detect and use:"
+echo "1. GStreamer with NVDEC (NVIDIA GPUs)"
+echo "2. FFMPEG with CUVID (NVIDIA GPUs)"
+echo "3. VAAPI (Intel/AMD GPUs)"
+echo "4. TurboJPEG (3-5x faster than standard JPEG)"
+echo "========================================================="