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Warlock-Studio-Universal/CHANGELOG.md
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Iván Eduardo Chavez Ayub dd166ace5d Add files via upload
2025-07-10 00:04:53 -06:00

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Version2.2

Release date: 7July2025

1. Major Enhancements and Stability Overhaul

1.1 Comprehensive Logging System

  • Implemented a full-featured logging system that writes to files in the user's Documents folder (warlock_studio.log and error_log.txt). This provides detailed diagnostics for debugging without relying solely on console output.

  • A unified log_and_report_error function centralizes error handling, ensuring all critical issues are both logged and displayed to the user.

    1.2 Proactive Environment Validation

  • The application now performs pre-flight checks before processing begins to prevent common failures.

  • Includes validation for Python version, required modules (validate_environment), FFmpeg availability, disk space, and available RAM (validate_system_requirements).

  • Verifies that all input file paths exist and are accessible (validate_file_paths) and that the output directory is writable (validate_output_path).

    1.3 Resilient Video Encoding Pipeline

  • The entire video_encoding function was overhauled for maximum reliability.

  • Codec Fallback: The system now tests for hardware codec availability (NVENC, AMF, QSV) before encoding. If a selected hardware encoder is not functional, it automatically falls back to the highly compatible libx264 software encoder.

  • Robust Audio Handling: Implements a fallback chain for audio processing. It first attempts to directly copy the audio stream; if that fails, it attempts to re-encode it; if that also fails, it finalizes the video without audio, ensuring a video file is always produced.

    1.4 Graceful Shutdown and Cleanup

  • Implemented atexit and signal handlers to ensure that temporary files are cleaned up and child processes are terminated safely, even on unexpected exits.

  • Replaced abrupt process.kill() calls with the more graceful process.terminate() to allow for cleaner process shutdown.

2. Performance and Memory Optimization

2.1 Aggressive Memory Management

  • Video frame processing (upscale_video_frames_async) no longer holds large numbers of frames in RAM. It now writes small batches to disk and immediately calls the garbage collector (gc.collect()) to free memory, dramatically reducing the risk of crashes on long videos.

    2.2 Dynamic GPU VRAM Error Recovery

  • The AI orchestration logic can now recover from GPU "out of memory" errors during tiling. If an error is detected, it automatically reduces the tile resolution and retries the operation on that specific frame, preventing a total process failure.

3. Critical Bug Fixes

3.1 Resolved Video Encoding Race Condition

  • Fixed a critical bug where video encoding could start before all frame-writing threads were complete. The system now tracks all writer threads and explicitly waits for them to finish (thread.join()) before beginning the final video encoding, preventing corrupted or incomplete videos.

    3.2 Corrected Persistent Stop Flag

  • The stop_thread_flag is now reset (.clear()) at the start of each "Make Magic" execution, fixing a bug where a previously stopped job would prevent a new one from running.

    3.3 Eliminated Status Update Race Condition

  • Implemented a threading.Lock (global_status_lock) to protect shared flags that update the GUI. This prevents race conditions where multiple threads could attempt to modify the status simultaneously.

4. UI / UX Refinements

4.1 Updated Splash Screen

  • Reduced splash screen duration to 10 seconds for a faster application start-up.

  • Corrected asset path to Assets/banner.png for proper display.

    4.2 New Application Theme

Element New Value Old Value (v2.1)
App name #FF0000 (Red) #ECD125 (Gold)
Widget background #5A5A5A (Grey) #960707 (Dark Red)
Accent/Border Gold & Red Blue & Red

5. Codebase Health and Maintainability

5.1 Enhanced Checkpointing and Recovery

  • Added functions (create_checkpoint, load_checkpoint) to save and resume the progress of video frame processing, allowing recovery from interruptions.

    5.2 Hardened Core Methods

  • Core methods in AI classes now include checks for None inputs and feature default fallbacks (case _:) in match statements to prevent unexpected errors with unsupported data.

Version2.1

Release date: 23June2025

1. Major Enhancements and Stability Overhaul

1.1 Robust Error Handling

  • Model loading (AI_upscale, AI_interpolation) wrapped in try…except FileNotFoundError, OSError; meaningful error messages propagate to GUI.

  • extract_video_frames() validates file existence, cv2.VideoCapture.isOpened(), and frame count >0.

  • video_encoding() captures subprocess.CalledProcessError, logs stderr, and continues with fallback strategies.

  • Audio passthrough failures now trigger a silent audioless encode instead of total job abort.

    1.2 Safe Thread and Process Management

  • Deprecated errorraising thread stop replaced with threading.Event (stop_thread_flag) polled at defined checkpoints.

    1.3 Resilient Core Processing

  • copy_file_metadata() now verifies exiftool.exe availability and the existence of source/target before execution.

2. UI / UX Refinements

2.1 Refined Colour Palette

Element New Value
App name #ECD125
Widget background #960707
Active border Red (same as widget background)

3. Codebase Maintainability

3.1 Improved Code Organisation

  • Fileextension lists extracted to filetypes.py as SUPPORTED_IMAGE_EXTENSIONS, SUPPORTED_VIDEO_EXTENSIONS.

    3.2 Dependency and Initialisation

  • Added imports: shutil.move, subprocess.CalledProcessError, threading.Event.

  • Global variables initialised in init_globals() for deterministic startup.


Version2.0

Release date: 6June2025

1. Major Features

1.1 AI Frame Interpolation Support (AI_interpolation class)

  • Supports RIFEbased ONNX models; generates 1 (×2), 3 (×4), or 7 (×8) intermediate frames.

  • Provides both realtime preview and batch processing modes.

  • Integrates with FrameScheduler for temporal upscaling pipelines.

    1.2 RIFE Models Integration

  • Added RIFE and RIFE_Lite to model repository.

  • RIFE_models_list enumerates available checkpoints; AI_models_list now merges SRVGGNetCompact, BSRGAN, IRCNN, and RIFE families.

2. Enhancements

2.1 Visual/UI Redesign

  • Application renamed to “WarlockStudio” (with hyphen).

  • New dark palette (#121212, #454242) with bright white text (#FFFFFF) and accent red (#FF0E0E).

    2.2 VersionSpecific User Preferences

  • User configuration stored as Warlock-Studio_<major>.<minor>_UserPreference.json to avoid backwardcompatibility clashes.

    2.3 Modular and Scalable Layout System

  • Added GUI constants defined in layout_constants.py (e.g., OFFSET_Y_OPTIONS, COLUMN_1_5).

    2.4 Extended FileType Compatibility

  • Updated SUPPORTED_FILE_EXTENSIONS and SUPPORTED_VIDEO_EXTENSIONS to include modern codecs (e.g., HEIC, AVIF, WebM).

    2.5 Improved GPU Execution Support

  • provider_options enumerates up to four DirectML devices (Auto, GPU1  GPU4); selection persists across sessions.

3. Technical Refinements

3.1 Model List Structure

  • Menu dropdowns now grouped by category separated by MENU_LIST_SEPARATOR for readability.

    3.2 Advanced Interpolation Logic

  • Implements treebased frame generation (e.g., D→ABC) with dependency tracking to avoid redundant inference passes.

    3.3 Improved Numeric Precision and PostProcessing

  • Normalisation uses 32bit floats with epsilon guarding; RGBA conversion paths optimised using numexpr.

4. UI / UX Refinements

4.1 Resizable Message Dialogs (MessageBox; Tk resizable(True, True)). 4.2 Improved Dialog Formatting uniform spacing, font hierarchy, and defaultvalue display.

5. Minor Fixes

  • Corrected typo ttext_colortext_color.
  • Expanded inline comments and reorganised sections for clarity.

Version1.1

Release date: 20May2025

1. Major Improvements

1.1 Program Startup Optimisation launch time reduced via lazy module loading. 1.2 Model Loading Improvements parallel prefetch and checksum verification. 1.3 General Performance Optimisation core refactor, improved I/O scheduling, and smarter resource allocation.

2. Minor Fixes

  • Userinterface tweaks for better accessibility (focus indicators, tab order).