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Which config should I use to train model for Android (covert later to .tflite format)?
See original GitHub issueWhich config should I use to train model for Android (covert later to .tflite format)?
Tensorflow has TOCO converter (.pb > .tflite)
But what config should I use to train pb file?
ssdlite_mobilenet_v1_coco.config, ssd_mobilenet_v1_300x300_coco14_sync.config or ssd_mobilenet_v1_quantized_300x300_coco14_sync.config?
Issue Analytics
- State:
- Created 5 years ago
- Comments:13
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Take the help or don’t.
"Our frozen inference graphs are generated using the v1.8.0 release version of Tensorflow and we do not guarantee that these will work with other versions; this being said, each frozen inference graph can be regenerated using your current version of Tensorflow by re-running the exporter, pointing it at the model directory as well as the corresponding config file in samples/configs. "
https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md
Yes it is but … the models are trained on other versions. You are able to bypass some bugs if you export the model before you train … And I just saied it could help. I don’t know if it truely helps. You are welcome.