Bump pillow from 9.2.0 to 9.4.0 (#307)

Bumps [pillow](https://github.com/python-pillow/Pillow) from 9.2.0 to 9.4.0.
- [Release notes](https://github.com/python-pillow/Pillow/releases)
- [Changelog](https://github.com/python-pillow/Pillow/blob/main/CHANGES.rst)
- [Commits](python-pillow/Pillow@9.2.0...9.4.0)

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Bump tflite-runtime from 2.8.0 to 2.9.1 (#240)

Bumps [tflite-runtime](https://www.tensorflow.org/lite/) from 2.8.0 to 2.9.1.

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added tflite runtime support (#167)

* Release the tflite inference from tensorflow

* Update README

* Remove the bodypix_tflite from develop branch

* Add tflite inference to the tflite_inference branch

* added initial build_tflite workflow job

* added --use-feature=in-tree-build

* don't install tflite by default

* moved build_tflite up

* added tflite extra

* using dev-install-tflite

* make dev-install-tflite install build and dev depenencies

* run pytest for tflite

* using tflite extra when installing tflite

* added make dev-pytest-tflite

* linting: addressed markdown linting

* made tensorflow import optional

* added test_should_be_able_to_use_existing_tflite_model

* import tflite_runtime.interpreter

* extracted load_image

* load image using pillow

* adapted pad_and_resize_to using _pad_image_like_tensorflow

* implemented _resize_image_to_using_pillow

* added make dev-watch-tflite

* fallback to np expand_dims without tf

* extracted _get_mobilenet_preprocessed_image with np fallback

* reuse resize_image_to for scale_and_crop_to_input_tensor_shape

* automatically reduce dimension if needed

* added support for single channel in _resize_image_to_using_pillow

* extracted get_sigmoid and implemented np version

* reuse resize_image_to

* fixed failing test

* removed trailing space from requirements.txt

* cli: automatically select tflite model if full tf is not available

* don't fail with missing tf when adding alpha mask

* added tflite support to draw mask cli

* added support for remote tflite models; defined model tflite paths

* use model path constants for cli

* added TensorFlow Lite Runtime support section to readme

* ignore tflite models

* removed obsolete bodypix_tflite diectory

* fixed draw mask

* replaced pillow resize with numpy handling floats

* retain original dtype when padding

* use float32 for imagenet preprocessing

* debug logging of input image

* added list-tflite-models sub command

* fixed resnet tflite support

* added more tflite models

Co-authored-by: MrRiahi <mohammad.r.riahi@gmail.com>

Bump types-requests from 2.27.7 to 2.27.8 (#178)

Bumps [types-requests](https://github.com/python/typeshed) from 2.27.7 to 2.27.8.
- [Release notes](https://github.com/python/typeshed/releases)
- [Commits](https://github.com/python/typeshed/commits)

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Bump opencv-python from 4.5.4.58 to 4.5.4.60 (#149)

Bumps [opencv-python](https://github.com/skvark/opencv-python) from 4.5.4.58 to 4.5.4.60.
- [Release notes](https://github.com/skvark/opencv-python/releases)
- [Commits](https://github.com/skvark/opencv-python/commits)

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added backwards compatibility with opencv 4.5.2 and below (keypoints) (…

…#139)

* Update draw.py 

Error in draw 
TypeError: KeyPoint() missing required argument '_size' (pos 3)

was size=3 
change to _size=3

* handle get_cv_keypoints

wraps cv2.KeyPoint(..., size=3), cv2.KeyPoint(..., _size=3) in try except block to handle change in argument name between opencv versions.

* Update tf_bodypix/draw.py

Co-authored-by: Daniel Ecer <de-code@users.noreply.github.com>

* Update tf_bodypix/draw.py

Co-authored-by: Daniel Ecer <de-code@users.noreply.github.com>

Co-authored-by: Daniel Ecer <de-code@users.noreply.github.com>

added pose related api documentation (#129)

* added poses example code to readme

* using urls in example to make it runnable

* added comment

improved cli docs (#77)

* show cli default values

* document inputs and outputs

* move video extra above image

* using external examples to make commands runnable

* added example video

* introduce mask alpha earlier

* added more example images

* added links to used libraries

* added missing background source link

added reference to layered vision (#59)

added tflite support (experimental) (#40)

* tflite support (wip)

* linting

* just check for "resnet" in model path

* fallback to single tensor input

* adjust image_data shape to expected input shape

also optional image_size input

* removed commented out code

* only resize tensor if input image doesn't match

* added command to convert to tflite

* added --model-architecture argument

* added quantization arguments

* updated readme

* linting

* typo in readme

* improved wording in readme