Matrix Viewer Debug
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A Visual Studio Code extension for visualizing 1D/2D/3D data structures during debugging. Supports Python (debugpy) and C++ (GDB / vsdbg / CodeLLDB).
Inspired by cv_debug_mate_cpp and Image Watch for Visual Studio.
🚀 Try It Now!
📂 Example Project: test/test_python/
Complete demo with ALL supported types!
Run with the debugger to see MatrixViewer Debug in action.
cd test/test_python
pip install -r requirements.txt
# Open in VS Code, set a breakpoint, press F5
code .
⚡ Supported Types (Quick Reference)
Python
| Category |
Type |
Visualization |
| Image (2D) |
PIL.Image.Image |
🖼️ Image Viewer |
|
numpy.ndarray shape (H, W) / (H, W, 3) / (H, W, 4) |
🖼️ Image Viewer |
|
cv2.UMat |
🖼️ Image Viewer |
| Point Cloud (3D) |
numpy.ndarray shape (N, 3) — XYZ |
📊 3D Viewer |
|
numpy.ndarray shape (N, 6) — XYZ + RGB |
📊 3D Viewer |
|
open3d.geometry.PointCloud |
📊 3D Viewer |
|
list / tuple of 3-element seqs |
📊 3D Viewer |
| Plot (1D/2D) |
numpy.ndarray shape (N,) |
📈 1D Chart |
|
numpy.ndarray shape (N, 2) |
📈 2D Scatter |
|
list / tuple of numeric values |
📈 1D Chart |
|
list / tuple of 2-element seqs |
📈 2D Scatter |
C++
| Category |
Type |
Visualization |
| Image (2D) |
cv::Mat (OpenCV) |
🖼️ Image Viewer |
|
Eigen::Matrix<T,R,C> / Eigen::Array<T,R,C> (rows>1, cols>2) |
🖼️ Image Viewer |
|
QImage (Qt5 / Qt6) |
🖼️ Image Viewer |
| Point Cloud (3D) |
pcl::PointCloud<PointXYZ> / <PointXYZRGB> / <PointXYZI> |
📊 3D Viewer |
|
std::vector<cv::Point3f> / std::vector<cv::Point3d> |
📊 3D Viewer |
|
std::array<cv::Point3f, N> / std::array<cv::Point3d, N> |
📊 3D Viewer |
|
QVector<QVector3D> (Qt5 / Qt6) |
📊 3D Viewer |
| Plot (1D/2D) |
Eigen::VectorX* / Eigen::RowVectorX* |
📈 1D Chart |
|
Eigen::Matrix<T,N,1> / Eigen::Matrix<T,1,N> |
📈 1D Chart |
|
Eigen::Matrix<T,N,2> (N×2) |
📈 2D Scatter (col0=X, col1=Y) |
|
std::vector<T> / std::array<T, N> / T[N] (numeric) |
📈 1D Chart |
|
QVector<T> / QList<T> (numeric scalar, Qt5 / Qt6) |
📈 1D Chart |
|
QPolygonF (Qt5 / Qt6) |
📈 2D Scatter |
|
QVector<QVector2D> / QList<QVector2D> (Qt5 / Qt6) |
📈 2D Scatter |
Eigen routing rules (C++): query runtime .rows() / .cols() to decide viewer type:
cols == 1 or rows == 1 → 1D line plotcols == 2 → 2D scatter (column-major storage: X = col 0, Y = col 1)rows > 1 and cols > 2 → image (grayscale, auto-normalised)
🎯 Features
| Feature |
Description |
| 📈 1D Plot |
Line/Scatter/Histogram, custom X-axis, zoom, pan, export PNG/CSV |
| 🖼️ 2D Image |
Multi-channel, auto-normalize, colormap, zoom up to 100×, pixel values on hover |
| 📊 3D Point Cloud |
Three.js powered, color by X/Y/Z, adjustable point size, export PLY |
| 🔗 View Sync |
Pair variables for synchronized zoom/pan/rotation across viewers |
| 🔍 Auto Detection |
Variables panel auto-detects all visualizable types in current scope |
| 🔄 Auto Refresh |
Webview auto-updates when stepping through code |
🔧 Debugger Support
Python
| Debugger |
Session Type |
1D Data |
Image |
Point Cloud |
Status |
| debugpy |
python / debugpy |
✅ |
✅ |
✅ |
Supported |
Requires the Python extension (ms-python.python) or a compatible debugpy launch config.
C++
| Debugger |
Session Type |
1D Data |
Image |
Point Cloud |
Status |
| GDB |
cppdbg |
✅ |
✅ |
✅ |
Supported |
| vsdbg |
cppvsdbg |
✅ |
✅ |
✅ |
Supported |
| CodeLLDB |
lldb |
✅ |
✅ |
✅ |
Supported |
vsdbg (cppvsdbg): Requires Visual Studio 2019+. Build with build_msvc.bat. For the best variable detection coverage (especially cv::Mat), LLVM + CodeLLDB is recommended.
📖 Usage
Quick Start
- Start a debug session (Python or C++)
- Open the Run and Debug sidebar (
Ctrl+Shift+D) → find MatrixViewer Debug
- Click a variable name to open the viewer
Alternatively: right-click any variable in the Variables pane → View by MatrixViewer,
or use the Command Palette (Ctrl+Shift+P) → MatrixViewer: View by MatrixViewer.
Detailed Usage Guides
📦 Installation
From VSIX
- Download
.vsix file
- Extensions view (
Ctrl+Shift+X) → ... → "Install from VSIX..."
From Source
git clone https://github.com/dull-bird/cv_debug_mate_python
cd cv_debug_mate_python
npm install
npm run compile
# Press F5 to run in Extension Development Host
📋 Requirements
- VS Code 1.93.0+
- Python debugging: Python 3.8+, Python extension (
ms-python.python), debugpy (installed automatically with the Python extension)
- C++ debugging: C/C++ extension or CodeLLDB
- Optional Python packages:
numpy, Pillow — depending on the types you want to visualize
🏗️ Architecture Overview
The extension uses a three-level provider hierarchy so that adding a new library or a new language never requires touching existing code:
IDebugAdapter ← one implementation per language (Python, C++, …)
└─ per-debugger layer ← C++: gdb/ | codelldb/ | cppvsdbg/
└─ *Provider (coordinator) ← one coordinator per viewer type (image / plot / pointCloud)
└─ ILib*Provider (libs/) ← one file per third-party library
opencv/imageProvider.ts
eigen/plotProvider.ts
pcl/pointCloudProvider.ts …
The per-debugger layer ensures that GDB, CodeLLDB, and vsdbg expressions are completely isolated — no runtime if (isLLDB) branching inside library providers.
| What to add |
Where to add it |
| New library for Python (e.g. open3d) |
src/adapters/python/debugpy/libs/<libName>/ |
| New library for C++ (e.g. a new OpenCV wrapper) |
src/adapters/cpp/{gdb,codelldb,cppvsdbg}/libs/<libName>/ |
| New language (e.g. Rust) |
src/adapters/<lang>/ + register in adapterRegistry.ts |
🙏 Acknowledgments
Inspired by cv_debug_mate_cpp and Image Watch for Visual Studio.
📄 License
MIT
🤝 Contributing
Issues and PRs welcome!
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