Icatcher

This release is identical to 0.2.2, but solves version mismatch bug due to CI/CD pipeline problem.

Changes in flags for UI

- Removed the `--ui_packaging_path` flag which was slightly confusing, and instead added a new output format (`--output_format ui`), which makes more sense as the UI merely consumes another form of output form iCatcher+.

- Input videos are not copied to output when ` --output_format ui` is passed, as this is redundant (frames are being produced, and if user needs an annotated video there are other options for that).

- Adds some basic tests for this option, and updates the README / docs accordingly

Integration of GUI from Quest
- Users can now launch the offline web app using the `--app` flag, to interact with the Icatcher+ output files.
- When predicting on a video, the `--ui_packaging_path "your_path"` needs to be passed which creates a folder you can drop into the web app and start interacting with the annotations.
- Prebuilt app will be available by the pip installation. Otherwise, nodejs is required.

Major updates to command line flags
- added the "--mirror_annotation" flag that swap the left and right classes for output
- added the "--overwrite" flag, which is off by default that allows icatcher to overwrite output annotation files if they exist. if they exist and this flag is off, icatcher+ will terminate.
- any command line option relating to the face detector has now a prefix "fd".
- the --dont_buffer flag was replaced with --fd_parallel_processing, and is OFF by default - users were experiencing crashes and RAM overload which should not be expected as this flag is trading more memory for better performance.
- the --num_cpus_saved option was replaced with --fd_num_cpus, now indicating how many cores would the user want to use (if --fd_parallel_processing is on). -1 means use all cores, which is the default.
- any command line flag that is experimental or that should not be changed is marked with a warning
- removed unused command line flags
- better tests for the full pipeline

This release does not have any functional changes, but allows for a docker image to be created automatically.

Second major upgrade to iCatcher+ from Quest
- Gaze prediction model defaults to regnet (on lookit) instead of resnet (on lookit)
- Better tests
- Slightly changed command line option "--model" to indicate the name of the model file to use (out of predefined choices), instead of a custom path. We will not support arbitrary model files in the official release.