Comments (3)
bendangnuksung
commented on May 29, 2024
@NorthLatitudeOne It was happening because COCO model uses a little different config. Made an update, you can convert 'mask_rcnn_coco.h5'. You just need open 'user_config.py' and set
# Make it True if you want to use the provided coco weights
is_coco = Truefrom mrcnn_serving_ready.
NorthLatitudeOne
commented on May 29, 2024
Hi Bendang , thanks for your help, the problem solved now after adding the config.
from mrcnn_serving_ready.
buaacarzp
commented on May 29, 2024
Hi Bendang , thanks for your help, the problem solved now after adding the config.
Hi,are you ok now? did you completed the mrcnn_coco.h5 to pb file ? why I always failure.... please help me .
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Related Issues (20)
- Frozen graph generates difference results compared to the original model HOT 2
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- How to use saved_model.pb in Tensorflow Model Server？ HOT 8
- Can not convert to tflite (UnicodeDecodeError: 'utf-8' codec can't decode byte 0xbb in position 3: invalid start byte) HOT 3
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- output_names=[out.op.name for out in model.outputs][:4] should be modified to get the 5 loss nodes HOT 2
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- How can I read input and output node from frozen inference model (.pb)? HOT 2
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