The processing thread was running cvtColor on the full-resolution 1920×1080
frame before queueing it for display. Since the display thread immediately
resizes the frame to the preview window (~5× smaller pixel count), doing
the colour conversion on the resized buffer is cheaper overall.
Processing thread now queues BGR; display thread resizes then cvtColor.
Bundles CoreML graph rewrites, GPU-accelerated pipeline work, Windows CUDA
fixes, and Mac/Windows runtime routing into a single drop.
CoreML (Apple Silicon):
- Decompose Pad(reflect) → Slice+Concat in inswapper_128 so the model
runs in one CoreML partition instead of 14 (TEMPORARY: fixed upstream
in microsoft/onnxruntime#28073, drop when ORT >= 1.26.0).
- Fold Shape/Gather chains to constants in det_10g (21ms → 4ms).
- Decompose Split(axis=1) → Slice pairs in GFPGAN (155ms → 89ms).
- Route detection model to GPU so the ANE is free for the swap model.
- Centralize provider/config selection in create_onnx_session.
Pipeline (all platforms):
- Parallelize face landmark + recognition post-detection; skip landmark_2d_106
when only face_swapper is active.
- Pipeline face detection with swap for ANE overlap.
- GPU-accelerated paste_back, MJPEG capture, zero-copy display path.
- Standalone pipeline benchmark script.
Windows / CUDA:
- CUDA graphs + FP16 model + all-GPU pipeline for 1080p 60 FPS.
- Auto-detect GPU provider and fix DLL discovery for Windows CUDA execution.
Cross-platform:
- platform_info helper for Mac/Windows runtime routing.
- GFPGAN 30 fps + MSMF camera 60 fps with adaptive pipeline tuning.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Add ToolTip class (modules/ui_tooltip.py) and wire descriptive hover
tooltips onto every button, switch, slider, and dropdown in the main
window. Tooltips appear after a 500ms hover delay and are clamped to
screen bounds.
This requires no new dependencies — ToolTip uses only customtkinter.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
cv2_enumerate_cameras(CAP_AVFOUNDATION) probes indices 0-99 through
OpenCV's AVFoundation backend, which intermittently segfaults (exit
code 139) when invalid device indices are probed. Replace with a
bounded cv2.VideoCapture loop (range(10)) that safely skips
unavailable indices.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add a dedicated detection thread that runs face detection continuously
on the latest captured frame and publishes results to a shared dict.
The processing/swap thread reads cached detection results instead of
running detection inline, so it never blocks on the 15-30ms detection
cost.
Architecture change: 2 threads → 3 threads
Before: capture → [detect + swap] → display
After: capture → swap (uses cached detections) → display
↘ detect (async, writes to shared cache) ↗
Also replaces the blocking while/ROOT.update() display loop with
ROOT.after()-based scheduling, which avoids Tk event loop re-entrancy
issues and UI freezes.
Closes#1664
In Tk 9.0, Menu.index("end") returns "" instead of raising TclError
on empty menus. CustomTkinter's DropdownMenu._add_menu_commands
doesn't handle this case, causing a crash when creating CTkOptionMenu
widgets (e.g., the camera selector dropdown).
Add a monkey-patch that guards against the empty-string return value.
- adds poisson blending on the face to make a seamless blending of the face and the swapped image removing the "frame"
- adds the switch on the UI
Advance Merry Christmas everyone!
Added:
- try-finally Block: This makes sure the camera.release() is called no matter how the while loops end.
- Resource Cleanup: The finally block takes care of cleaning up resources to keep the application stable.
The following changes have been implemented:
-A "clear" button has been incorporated.
-The Source x Target Mapper window has been retained following the submission of data via the "submit" button.
Max Buckley