+ Added show plot for gen_dlt_coefs_from_paths
+ Other small changes

+ added first_frame and missing frames in BatchSettings
+ fixes issues with np.arrays (dtype=object)

Added posibility to know the id of the calibration point when plotted during error analysis, better allow identification of points to remove

+ added example _full.pickle
+ removed Jupyter notebooks

+ Modified settings to match recordings
+ Added sorting of frame numbers in ImageSequence class
+ Corrected back get_rotation_angle_btw_vectors
+ Some correction of docstrings

+ Minor edits

Added functions to compute dlt coefficients from and to intrinsinc/extrincic parameters. (Work in progress)
Added camera classes to handle 3d object(s), (virtual and real) camera(s) and mirror(s). (Work in progress)
+ Moved example calibration files
+ Minor changes in README.md

All settings can now be read from a unique yaml file that contains settings for the batch processing and the protocol (e.g. all process steps)

- Updated config.yaml
- Updated dlc_cfg_path to '../data/examples/mosquito_escapes/config.yaml'
- Corrected function name (convert_kwargs_to_be_writen_in_yaml > convert_kwargs_to_yaml)

- Added .yaml to run test scripts of multi_process_batch
- Added the possibility to crop using 2d coordinates (not from 3d tracks)
- Changed default name of sequence in mutli_image_sequence to be seq1, seq2, seq3, ...
- Corrected rec_name_to_process in test functions to be 20200216_075901-sample_binned instead of 20200216_075901-selection
- Changed names of args for deeplabcut.analyse()

Added camera directories (cam1, cam2 and cam3) for the example recordings + changed the name of 'mosquito_escape' folder to 'mosquito_escapes'

Changed folder tree in data/examples