https://github.com/autorope/donkeycar/pull/900 1. fix the bugs originated from the latest commit b544241f

* Factor out model from interpreter so each model can be saved and run in .h5 / .savedmodel keras format, in tflite format or in tensorrt format
* Improved KerasPilot interfaces to support the above
* Added test for all models and all interpreters (TFflite excluded for 3d CNN and TRT excluded for LSTM as these are not supported respectively)
* use expand_dims and squeeze instead of reshape and [0]

UI improvements:
* Add support for all model / interpreter combinations in training and model arena
* Add options to sync only h5, savedmodel, tflite or tensorrt pilots to car
* Fixed disabling of keyboard when switching from one screen to another

Small improvements / fixes:
* Added comment to status in train screen
* Added better error message in trt conversion
* Added seq length to lstm model str
* Added shebang to profile.py

Change on models:
* Convert LSTM and 3D-CNN model from Sequential to Functional form, because transfer learning, i.e. continuing to train an already trained model, only works in the functional form of these two models.
* Added new model KerasLinearMemory which reads in the last n actions, this facilitates smoother steering
* Added support to inference from dictionary - passing by dictionary is used in training and supports augmentation
* Renamed output layers alphabetically in order to avoid tflite bug which returns output tensors in that order

General code changes:
* Add Collator class which returns list of continuous records so sequence models, like rnn, 3dcnn, memory can be trained. Add test.
* Add comparison string class (called EqMemorizedString) to better manage printing available user options. Used in get_model_by_type.
* Reduced tolerance on keras test as we still see relative differences of 2e-5 (which is ok).
* Check either relative or absolute tolerance as untrained models might return values >> 1 in keras test

- tf2 version incomplatibility
- uint8 conversion bug

* Add OLED resolution option

* Add OLED resolution option

* Addressed code review

* WIP

* Fixed web server

* Got the basics woprking

* Fixed some logic, trapped some error conditions

Also changed "SERVO_ESC" drivetrain type, which doesn't really mean anything, to "I2C_SERVO", which actually describes the board used

* removed RC class stub

* Basic port done

* cleanup

* Fixed mode switch

* Fixed joystick import issue

* Changed option name to "PIGPIO_RC" which is more clear

* changed rc controller option config to "pigpio_rc"

* typo

* Fixed comment to align with nomenclature

* Fixed auto-record on throttle

Did a little other cleanup

* Cosmetic cleanup per review

* Fixed auto-record so it is only on when desired

Did some other cleanup of unneeded constants and added a debug option

* Changes per review

* WIP

Fixed web server

Got the basics woprking

Fixed some logic, trapped some error conditions

Also changed "SERVO_ESC" drivetrain type, which doesn't really mean anything, to "I2C_SERVO", which actually describes the board used

removed RC class stub

Basic port done

cleanup

Fixed mode switch

Fixed joystick import issue

Changed option name to "PIGPIO_RC" which is more clear

changed rc controller option config to "pigpio_rc"

typo

Fixed comment to align with nomenclature

Fixed auto-record on throttle

Did a little other cleanup

Cosmetic cleanup per review

Fixed auto-record so it is only on when desired

Did some other cleanup of unneeded constants and added a debug option

Changes per review

* Addressed code review

Co-authored-by: Chris Anderson <gca2@earthlink.net>

Revert to passing full path to model in training call which got accidentally broken in 4.2 master. (#873)

* Fix delete_last_n_records in tub.
* Pep-8: remove whitespace
* Add test.

* Update to CircuitPython OLED library

* Per code review

* Added the OLED library to Nano installation, too

Co-authored-by: Chris Anderson <gca2@earthlink.net>

Co-authored-by: Chris Anderson <gca2@earthlink.net>

As suggested by @DocGarbanzo. It works!