diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json
new file mode 100644
index 0000000..033d048
--- /dev/null
+++ b/.devcontainer/devcontainer.json
@@ -0,0 +1,31 @@
+{
+    "name": "object-detection-inference",
+    // Use the image property instead of dockerFile
+    "image": "object-detection-inference:tensorrt", // Replace with your image name and tag
+
+    "features": {
+        "ghcr.io/devcontainers/features/nvidia-cuda:1": {}
+    },
+
+    "overrideCommand": true,
+    "runArgs": [
+        "--gpus", "all"
+    ],
+    "postCreateCommand": "bash",
+    "customizations": {
+        "vscode": {
+            "extensions": [
+                "ms-vscode.cpptools",
+                "kaysonwu.cpptask",
+                "ms-vscode.cpptools-extension-pack",
+                "franneck94.c-cpp-runner",
+                "DamianKoper.gdb-debug"
+            ]
+        }
+    } // Or your desired entrypoint command
+
+    // OR: Run a specific command. Example: run your app with arguments
+    // "overrideCommand": true,
+    // "command": ["./object-detection-inference", "-m", "your_model.engine", "-i", "your_input.mp4"]  
+}
+
diff --git a/cmake/AddCompileDefinitions.cmake b/cmake/AddCompileDefinitions.cmake
index a3618b7..3bba0d4 100644
--- a/cmake/AddCompileDefinitions.cmake
+++ b/cmake/AddCompileDefinitions.cmake
@@ -25,7 +25,7 @@ elseif (DEFAULT_BACKEND STREQUAL "LIBTORCH")
     # Tell the compiler to use glog instead of the default c10 logging system by defining C10_USE_GLOG    
     add_definitions(-DC10_USE_GLOG)
 elseif (DEFAULT_BACKEND STREQUAL "TENSORRT")
-    set(TRT_VERSION "8.6.1.6" CACHE STRING "Tensorrt version") # modify accordingly
+    set(TRT_VERSION "10.7.0.23" CACHE STRING "Tensorrt version") # modify accordingly
     set(TENSORRT_DIR $ENV{HOME}/TensorRT-${TRT_VERSION}/)
     message(STATUS "TENSORRT_DIR: ${TENSORRT_DIR}")
     find_package(CUDA REQUIRED)
diff --git a/detectors/src/DetectorSetup.cpp b/detectors/src/DetectorSetup.cpp
index 1a3d358..865d06a 100644
--- a/detectors/src/DetectorSetup.cpp
+++ b/detectors/src/DetectorSetup.cpp
@@ -12,6 +12,7 @@ std::unique_ptr<Detector> DetectorSetup::createDetector(const std::string& detec
 
     auto it = detectorCreators.find(detectorType);
     if (it != detectorCreators.end()) {
+        LOG(INFO) << "Creating detector '" << detectorType << "'";
         return it->second();
     } else {
         LOG(ERROR) << "Unknown detector type '" << detectorType << "' requested. Available types are: ";
diff --git a/detectors/src/models/Detector.hpp b/detectors/src/models/Detector.hpp
index f852bcd..43b4a12 100644
--- a/detectors/src/models/Detector.hpp
+++ b/detectors/src/models/Detector.hpp
@@ -28,8 +28,14 @@ class Detector {
                 channels_ = static_cast<int>(first_input[0]);
                 network_height_ = static_cast<size_t>(first_input[1]);
                 network_width_ = static_cast<size_t>(first_input[2]);
-            } else {
-                LOG(ERROR) << "Input shape does not match expected format (CHW)";
+                LOG(INFO) << "Sizes: " << channels_ << " " << network_width_ << " " << network_height_; 
+            }             
+            else {
+                LOG(ERROR) << "Input shape does not match expected format (CHW), Found " << first_input.size() << " inputs: ";
+                for(auto& s : first_input)
+                    LOG(ERROR) << s;
+                throw std::runtime_error("Input shape does not match expected format ");    
+        
             }
         } else {
             LOG(ERROR) << "No input layers found in model";
diff --git a/download_trt.sh b/download_trt.sh
new file mode 100644
index 0000000..1c2c426
--- /dev/null
+++ b/download_trt.sh
@@ -0,0 +1,12 @@
+#!/bin/bash
+TRT_MAJOR=10
+TRT_MINOR=.7
+TRT_PATCH=.0
+TRT_BUILD=.23
+TRT_VERSION=${TRT_MAJOR}${TRT_MINOR}${TRT_PATCH}${TRT_BUILD}
+TRT_CUDA_VERSION=12.6
+#wget https://developer.nvidia.com/downloads/compute/machine-learning/tensorrt/${TRT_MAJOR}${TRT_MINOR}${TRT_PATCH}/tars/TensorRT-${TRT_VERSION}.Linux.x86_64-gnu.cuda-${TRT_CUDA_VERSION}.tar.gz 
+
+tar -xvf TensorRT-${TRT_VERSION}.Linux.x86_64-gnu.cuda-${TRT_CUDA_VERSION}.tar.gz
+
+mv TensorRT-${TRT_VERSION} $HOME/TensorRT-${TRT_VERSION}
\ No newline at end of file