TFLite SSD model with post processing.

[anijain2305]

@apivovarov@tqchen
I will add a test case in TVM for TFLite frontend. There is NMS support but not tested through TFLite frontend.

The instructions are exactly same as that of

#186

But with post processing enabled. Thanks @apivovarov for providing the instructions.

[apivovarov]

Archive is 26 MB. Do you need all files from it? Can you shrink its size by removing unnecessary files?

[anijain2305]

There is only file inside - Just TFlite model

[tqchen]

is it possible to manually construct a tflite model that is smaller? e.g. do a graph cut to cut off the previous layers and only include the NMS part

[anijain2305]

I don't have experience with TF graph transforms, but it might be possible.
At the same time, I think there is value in an e2e graph testing in TVM.
Actually the other model in this directory is the same SSD model but w/o NMS. So, this model is a superset. If this model can work, we can maybe remove the previous model.

Currently, there is accuracy mismatch so we cant replace the older model. I was hoping to add this model to open an Issue so that the original authors can take a look.

[apivovarov]

yes, old file web-data/tensorflow/models/object_detection/ssd_mobilenet_v1_coco_2018_01_28_nopp.tgz (no post-processing) can be replaced with this new full model archive

[anijain2305]

@tqchenapache/tvm#5439 is now passing, so I have removed the older TFLite file. Let me know if this is ok.

[anijain2305]

Just realized that merging this will cause failure in TVM master as the current tests are dependent on the model (*_nopp.tgz) that I am removing in this PR.

I can send a separate TVM PR that just deletes the test using *_nopp.tgz

@tqchen Wanted to check if this makes sense?

[anijain2305]

@tqchen Let me know if you need any more changes here. The TVM PR to remove old test is merged.

[anijain2305]

Ping @tqchen :)