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Full YoloV3 model #6
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@guichristmann would also be interested to know whether you've tried this. |
Took me some time to figure it out but now I have built the full model using the instructions with some tweaks. In the With the latest tensorflow (2.3.0) and keras from pip, edgetpu_compiler -s yolov3.tflite
Edge TPU Compiler version 14.1.317412892
Model compiled successfully in 5155 ms.
Input model: yolov3.tflite
Input size: 60.00MiB
Output model: yolov3_edgetpu.tflite
Output size: 60.16MiB
On-chip memory used for caching model parameters: 6.81MiB
On-chip memory remaining for caching model parameters: 9.25KiB
Off-chip memory used for streaming uncached model parameters: 52.54MiB
Number of Edge TPU subgraphs: 1
Total number of operations: 113
Operation log: yolov3_edgetpu.log
Operator Count Status
RESIZE_NEAREST_NEIGHBOR 2 Mapped to Edge TPU
CONCATENATION 2 Mapped to Edge TPU
PAD 5 Mapped to Edge TPU
ADD 23 Mapped to Edge TPU
CONV_2D 75 Mapped to Edge TPU
QUANTIZE 6 Mapped to Edge TPU I used the tensorflow docker image Does it work on the tpu? Does it have good performance? I don't know, I have not yet run any inference with it but I will as soon as I have time... |
@idittansikte awesome! Very interested in your results with respect to whether it runs on the tpu and the performance. |
@raryanpur I've tried it now and it loads on the edge with no errors, but I don't get any detections if i dont lower the threshold to 0. Then I get some crap out but nothing that can be used for anything. I was thinking if I need to retrain the weigths for The good news is I guess that it seem to load the model. |
Any progress on this, I am facing the same problem. Model is not giving me any detections after inference on edge tpu |
I'm wondering if you have tried building the full model (not tiny) for the Edge TPU?
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