Support imgclsmob's pose estimation model

[tucan9389]

There are so many pose estimation models on imgclsmob repo. I'll collect the model's link and mobile models converted to .tflite format.

Model Name	Model Extractor	TFLite Model Link	TFLite Model Size	TFLite Model Input Shape	TFLite Model Output Shape	Keras Model Link (.h5)	Keras Model Size
AlphaPose	Fast-SE-ResNet-101b	N/A	238.1 MB	(1,224,224,3)	(1,56,56,17)	link	211 MB
SimplePose	ResNet-18	link	61.5 MB	(1,224,224,3)	(1,56,56,17)	link	54.3 MB
SimplePose	ResNet-50b	link	135.9 MB	(1,224,224,3)	(1,56,56,17)	link	120 MB
SimplePose	ResNet-101b	link	211.8 MB	(1,224,224,3)	(1,56,56,17)	link	188 MB
SimplePose	ResNet-152b	link	274.3 MB	(1,224,224,3)	(1,56,56,17)	link	243 MB
SimplePose	ResNet(A)-50b	link	136 MB	(1,224,224,3)	(1,56,56,17)	link	120 MB
SimplePose	ResNet(A)-101b	link	211.9 MB	(1,224,224,3)	(1,56,56,17)	link	188 MB
SimplePose	ResNet(A)-152b	link	274.4 MB	(1,224,224,3)	(1,56,56,17)	link	243 MB
SimplePose(Mobile)	ResNet-18	N/A	51.4 MB	(1,224,224,3)	(1,56,56,17)	link	45.4 MB
SimplePose(Mobile)	ResNet-50b	N/A	102.3 MB	(1,224,224,3)	(1,56,56,17)	link	90.5 MB
SimplePose(Mobile)	1.0 MobileNet-224	N/A	20.1 MB	(1,224,224,3)	(1,56,56,17)	link	17.8 MB
SimplePose(Mobile)	1.0 MobileNetV2b-224	N/A	16.4 MB	(1,224,224,3)	(1,56,56,17)	link	14.6 MB
SimplePose(Mobile)	MobileNetV3 Small 224/1.0	N/A	10.5 MB	(1,224,224,3)	(1,56,56,17)	link	9.23 MB
SimplePose(Mobile)	MobileNetV3 Large 224/1.0	N/A	19.1 MB	(1,224,224,3)	(1,56,56,17)	link	16.9 MB
Lightweight OpenPose 2D	MobileNet	N/A	16.4 MB	(1,224,224,3)	(1,28,28,57)	link	14 MB
Lightweight OpenPose 3D	MobileNet	N/A	20.4 MB	(1,224,224,3)	(1,28,28,114)	link	17.5 MB
IBPPose	-	N/A	-	-	-	link	339 MB

Model Source

https://github.com/osmr/imgclsmob/tree/v0.0.460/tensorflow2#coco-keypoints-detection

TFLite Converting Script

https://github.com/osmr/imgclsmob/blob/bb5532e21ff27689e9f1dc133d86933b04396a1c/examples/convert_tf2_to_tfl.py

Sample Command

python convert_tf2_to_tfl.py \
--model lwopenpose2d_mobilenet_cmupan_coco \
--output-dir /home/outputs/pose/tflite;