* Clear VRAM of face analyser on post process
* Mark as NEXT
* Reduce tensorflow memory to 512 MB
* Cosmetics on installer
* Add is_download_done to pre_process() hook to prevent errors
* Use latest onnxruntime
* Testing for download methods, Make get_download_size more robust
* Testing for download methods
* Introduce --skip-download argument
* Catch exception causes by a firewall
* Looks stable to me
* Allow passing the onnxruntime to install.py
* Fix CI
* Disallow none execution providers in the UI
* Use CV2 to detect fps
* Respect trim on videos with audio
* Respect trim on videos with audio (finally)
* Implement caching to speed up preview and webcam
* Define webcam UI and webcam performance
* Remove layout from components
* Add primary buttons
* Extract benchmark and webcam settings
* Introduce compact UI settings
* Caching for IO and **** prediction
* Caching for IO and **** prediction
* Introduce face analyser caching
* Fix some typing
* Improve setup for benchmark
* Clear image cache via post process
* Fix settings in UI, Simplify restore_audio() using shortest
* Select resolution and fps via webcam ui
* Introduce read_static_image() to stop caching temp images
* Use DirectShow under Windows
* Multi-threading for webcam
* Fix typing
* Refactor frame processor
* Refactor webcam processing
* Avoid warnings due capture.isOpened()
* Resume downloads (#110)
* Introduce resumable downloads
* Fix CURL commands
* Break execution_settings into pieces
* Cosmetic changes on cv2 webcam
* Update Gradio
* Move face cache to own file
* Uniform namings for threading
* Fix sorting of get_temp_frame_paths(), extend get_temp_frames_pattern()
* Minor changes from the review
* Looks stable to tme
* Update the disclaimer
* Update the disclaimer
* Update the disclaimer
* Cosmetic changes
* Cosmetic changes
* Run single warm up for the benchmark suite
* Use latest version of Gradio
* More testing
* Introduce basic installer
* Fix typo
* Move more to installer file
* Fix the installer with the uninstall all trick
* Adjust wording
* Fix coreml in installer
* Allow Pyhton 3.9
* Add VENV to installer
* Just some cosmetics
* Just some cosmetics
* Dedicated headless mode, Refine API of UI layouts
* Use --headless for pytest
* Fix testing for Windows
* Normalize output path that lacks extension
* Fix CI for Windows
* Fix CI for Windows
* UI to change output path
* Add conda support for the installer
* Improve installer quite a bit
* Drop conda support
* Install community wheels for coreml silicon
* Improve output video component
* Fix silicon wheel downloading
* Remove venv from installer as we cannot activate via subprocess
* Use join to create wheel name
* Refine the output path normalization
* Refine the output path normalization
* Introduce ProcessMode and rename some methods
* Introduce ProcessMode and rename some methods
* Basic webcam integration and open_ffmpeg()
* Basic webcam integration part2
* Benchmark resolutions now selectable
* Rename benchmark resolution back to benchmark runs
* Fix repeating output path in UI
* Keep output_path untouched if not resolvable
* Add more cases to normalize output path
* None for those tests that don't take source path into account
* Finish basic webcam integration, UI layout now with custom run()
* Fix CI and hide link in webcam UI
* Cosmetics on webcam UI
* Move get_device to utilities
* Fix CI
* Introduce output-image-quality, Show and hide UI according to target media type
* Benchmark with partial result updates
* fix: trim frame sliders not appearing after draggin video
* fix: output and temp frame setting inputs not appearing
* Fix: set increased update delay to 250ms to let Gradio update conditional inputs properly
* Reverted .gitignore
* Adjust timings
* Remove timeout hacks and get fully event driven
* Update dependencies
* Update dependencies
* Revert NSFW library, Conditional unset trim args
* Face selector works better on preview slider release
* Add limit resources to UI
* Introduce vision.py for all CV2 operations, Rename some methods
* Add restoring audio failed
* Decouple updates for preview image and preview frame slider, Move reduce_preview_frame to vision
* Refactor detect_fps based on JSON output
* Only webcam when open
* More conditions to vision.py
* Add udp and v4l2 streaming to webcam UI
* Detect v4l2 device to be used
* Refactor code a bit
* Use static max memory for UI
* Fix CI
* Looks stable to me
* Update preview
* Update preview
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Co-authored-by: Sumit <vizsumit@gmail.com>
