Comments (9)
Here is the script I used for the conversion.
https://github.com/PINTO0309/PINTO_model_zoo/blob/master/08_mask_rcnn_inceptionv2/01_float32/01_export_inference_graph.txt
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Thanks. I will try. Have you use model which can be converted from this script =)
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No, I'm a weird, so I'm just enjoying the conversion for now.
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i see the error "Invalid tensors 'image_tensor' were found." Can you solve it ??
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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).
Can you solve it ??
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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.
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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
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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.
https://github.com/PINTO0309/PINTO_model_zoo/blob/master/08_mask_rcnn_inceptionv2/02_weight_quantization/mask_rcnn_inception_v2_coco_256_weight_quant.tflite
The installation of the Tensorflow v2.1.0 master I built is as follows.
https://drive.google.com/open?id=1EqkpK_FIWM5flUK-7Z3au9SkavMCvBrY
Below is the script of Weight Quantization.
https://github.com/PINTO0309/PINTO_model_zoo/blob/master/08_mask_rcnn_inceptionv2/01_float32/03_weight_quantization.py
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@hoangtubatu123 hoangtubatu123
I was able to successfully convert without a custom OP with Tensorflow v2.2.0-rc3 (Tensorflow Lite). If you feel like it, give it a try.
https://github.com/PINTO0309/PINTO_model_zoo/tree/master/08_mask_rcnn_inceptionv2
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Related Issues (20)
- License of RAFT models HOT 3
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- How to retrain simple MLP (palm_detection_full_inf_post_192x192.onnx) model with custom hand dataset ? HOT 2
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