dnn: download_models script improvements opencv#1084

Added new features:
* Use argument parser and new arguments:
  * `--cache` directory will be tried before downloading from internet
  * `--dst` change destination directory
  * `--list` list all model names
  * `--cleanup` remove all `tar.gz` files afterwards
* Add hierarchy to model structure, now there are regular models which can be downloaded directly and archived models which should be downloaded and then required files will be extracted. Archived files will be checked for existence before downloading whole archive - it allows to populate them from cache and avoid storing archives on disk.
* Filters are now case-insensitive and use _contains_ rule for matching, multiple filters can be used in the command line, results will be united.
* GDrive object simplified to separate method - allows to reduce repeated download code. Better solution would be to extract all download-store-verify functionality to separate class(es), but I decided to postpone this step for the future improvements.
* Use `pathlib.Path` for most paths.

I have doubts regarding filter arguments: should we keep them positional arguments or change to keyword arguments (e.g. `--filter`)?

Examples:
```.sh
# Populate cache and remove archives afterwards (~4Gb)
./download_models.py --dst /data/dnn --cleanup
# Download models to the specified folder using cache
./download_models.py --cache /data/dnn --dst $HOME/opencv_extra/testdata/dnn
# List all models having face in their name
./download_models.py --list face
```

Extend performance test models

Updated performance test sanity data for PR opencv/opencv:24333.

Add QRCode with byte data and umlaut

Merge with opencv/opencv#24386

Also noted that random seed is added in this pr, so previous data is regenerated to keep consistency.