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Convert tflite with mask rcnn #4
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Here is the script I used for the conversion. |
Thanks. I will try. Have you use model which can be converted from this script =) |
No, I'm a weird, so I'm just enjoying the conversion for now. |
i see the error "Invalid tensors 'image_tensor' were found." Can you solve it ?? |
Check failed: array.data_type == array.final_data_type Array "image_tensor" has mis-matching actual and final data types (data_type=uint8, final_data_type=float). |
First, you need to change the placeholder in the Python code of the model from UInt8 to Float32. I'll share the code with you when I have time, but I'm pretty busy and I don't have enough time to work, so please wait a bit. |
yeah. i fixed it. But when i load the model tflite. i have a problem "Encountered unresolved custom op: Enter.Node number 0 (Enter) failed to prepare." Can you solve it ?? Thanks |
Two days ago, it seems that the mask r-cnn correspondence was committed to the master branch. So, today I tried to regenerate the weight quantization model using the latest Tensorflow. Operation has not been confirmed. The installation of the Tensorflow v2.1.0 master I built is as follows. Below is the script of Weight Quantization. |
@hoangtubatu123 hoangtubatu123 |
How can you convert to mask rcnn to tflite model. Thanks
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