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tensorflow v2 model support #100
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Only tflite1 is supported, I think. |
Okay thank you. So you dont know it 100%. Is there the option to ask the guy, who added the support for ssd_mobilenet_v2? |
Sorry, but I dont understand your question. |
Ok maybe I explain it wrong. The user: Kanazawanaoaki added: "Add ssd to bounding box sample" to the jsk_recognition package right? So this is implemented in this package, because you said it's connected? The other point was, that the model: ssd_mobilenet_v2 is only supported by TensorFlow 1 and the newer one (I asked for) SSD MobileNet V2 FPNLite only by TensorFlow 2. The question is, if I try to run your node with a tflite model, which bases on the newer one would it be compatible or I must stick to the ssd model from TensorFlow 1 :) |
I understood. I wrote almost whole part of this repo (you can check it in commit log), and, at that time, tensorflow2 is not common. This is open source repo, and not a product. Do not hesitate to change the code. Please open a pull request. |
Yeah thank you for the detailed explanation, if I have the time I would do so, but I'm working on my bachelor degree, so for first use it should only run on TensorFlow 1 model. Hahah I think the guys from TensorFlow do their best :D |
Hey,
I've read that only ssd models are supported for TFLite1 and TFLite2, so the hardware accelerator (Edge TPU) supports only ssd models until now. I saw that in the example the ssd_mobilenet_v2 i used for inference. But would the newer one (SSD MobileNet V2 FPNLite 640x640) of TensorFlow 2 also with this node?
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