tiny pruning about pruned-openvino-yolo HOT 1 OPEN

@GotG
https://github.com/tanluren/yolov3-channel-and-layer-pruning This repos supports yolov3-tiny,yolov4-tiny pruning,But for tiny model ,we could only prune channels.
If you want to deploy pruned tiny model on openvino,you need to modify tensorflow code according pruned tiny model's .cfg file. Because tiny model's structure is relatively simple,i haven't written a script that generates code automatically at this time，you need to modify this parts:

For yolov3 tiny:https://github.com/mystic123/tensorflow-yolo-v3/blob/136fb66ac4b00e8dfc8391a7ea1c1568a6420206/yolo_v3_tiny.py#L59-L100
For yolov4 tiny :https://github.com/TNTWEN/OpenVINO-YOLOV4/blob/d82fa6ef43c341109a7014405530532dc4dc8471/yolo_v4_tiny.py#L79-L107

But because these parts have done a certain encapsulation of the model structure to make the code more concise.
This means you need to rewrite this part（Rewrite the structure of the model layer by layer just like this https://github.com/TNTWEN/OpenVINO-YOLO-Automatic-Generation/blob/a867aeb5831653fefb79a8a89a4e7a7de0a77910/demo/yolo_v4.py#L180-L192）.

For the full version of the model,if we want to rewrite the whole structure every time we prune, it will take a lot of work and it is easy to make mistakes.So I wrote a script（https://github.com/TNTWEN/OpenVINO-YOLO-Automatic-Generation） to automatically parse the model cfg file and generate tensorflow code. This script does not support tiny model conversion now.

from pruned-openvino-yolo.