tensorflow / tensorflow/models
Performance numbers on TF1 OD and TF2 OD
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Since Aug 12, 2021.
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Description
Prerequisites
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1. The entire URL of the documentation with the issue
https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf2_detection_zoo.md
https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf1_detection_zoo.md
2. Describe the issue
I've been trying to compare the performance numbers on TF1 and TF2 OD. I'm not sure if any of the models in both are same but lets take 'faster_rcnn_resnet101_coco' for instance in TF1 OD (106ms) and 'Faster R-CNN ResNet101 V1 640x640' in TF2 OD (55ms). Why is there such a huge difference? Also It is clearly documented in TF1 OD that the results are based on Nvidia GeForce GTX TITAN X. But TF2 OD does not have any details listed.
Moreover, when I tested them I didn't get much difference in their execution speed (about 7-8 FPS in both). Please help me understand the discrepancy.
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