Vprtempo

**Fixed PyPi package bug**

Had incidentally left scikit-python in and omitted matplotlib from the PyPi package.
Small fix in VPRTempo data loader to remove the `shuffle` argument.

- Modified information for the Oxford RobotCar dataset
- Removed activation layers inbetween linear feature and output layers which improves performance
- Allow users to skip the first n number of images in a dataset easier with the `--skip` argument
- Split .csv files for image loading into unique dataset directories, better flexibility for datasets without matching image names

What's Changed
* nn.Sequential fix by AdamDHines in https://github.com/QVPR/VPRTempo/pull/13
* Lfs update & removal by AdamDHines in https://github.com/QVPR/VPRTempo/pull/16


**Full Changelog**: https://github.com/QVPR/VPRTempo/compare/v1.1.5...v1.1.6

- Easier installation with conda-forge packaging, can now simply install with conda install vprtempo -c conda-forge
- Added options to plot metrics, similarity matrices, and additionally output precision and recall in json file
- Modified model names so that they're clearer, also rather than model names simply being network architecture dims more information such as the datasets themselves included so multiple models with the same architecture can be trained across different datsets without overwriting them.

- Modified codebase into a singular module
- Easing module import (e.g. for blitnet, metrics, etc)
- Needed for conda-forge deployment