get Check failed: input_shapes.size() == model_flags->input_arrays_size() when pb to tflite
I try convert pb
to tblite
using bazel run tensorflow/lite/toco:toco
bazel run tensorflow/lite/toco:toco --
--input_file=opt_mask_rcnn_New.pb
--output_file=$opt_mask_rcnn_New.tflite
--input_shapes=1,2048,2048,3
--input_arrays=input_image,input_image_meta,input_anchors
--output_arrays=output_detections,output_mrcnn_class,output_mrcnn_bbox,output_mrcnn_mask,output_rois,output_rpn_class,output_rpn_bbox
--inference_type=FLOAT
I raise this error F tensorflow/lite/toco/model_cmdline_flags.cc:321] Check failed: input_shapes.size() == model_flags->input_arrays_size()
Abort trap: 6
I think input_shapes in arguments is wrong.
But I do not know where to find input_shapes.
If can see it on the Tensorboard, please let me know how.
tensorflow tensorflow-lite
add a comment |
I try convert pb
to tblite
using bazel run tensorflow/lite/toco:toco
bazel run tensorflow/lite/toco:toco --
--input_file=opt_mask_rcnn_New.pb
--output_file=$opt_mask_rcnn_New.tflite
--input_shapes=1,2048,2048,3
--input_arrays=input_image,input_image_meta,input_anchors
--output_arrays=output_detections,output_mrcnn_class,output_mrcnn_bbox,output_mrcnn_mask,output_rois,output_rpn_class,output_rpn_bbox
--inference_type=FLOAT
I raise this error F tensorflow/lite/toco/model_cmdline_flags.cc:321] Check failed: input_shapes.size() == model_flags->input_arrays_size()
Abort trap: 6
I think input_shapes in arguments is wrong.
But I do not know where to find input_shapes.
If can see it on the Tensorboard, please let me know how.
tensorflow tensorflow-lite
add a comment |
I try convert pb
to tblite
using bazel run tensorflow/lite/toco:toco
bazel run tensorflow/lite/toco:toco --
--input_file=opt_mask_rcnn_New.pb
--output_file=$opt_mask_rcnn_New.tflite
--input_shapes=1,2048,2048,3
--input_arrays=input_image,input_image_meta,input_anchors
--output_arrays=output_detections,output_mrcnn_class,output_mrcnn_bbox,output_mrcnn_mask,output_rois,output_rpn_class,output_rpn_bbox
--inference_type=FLOAT
I raise this error F tensorflow/lite/toco/model_cmdline_flags.cc:321] Check failed: input_shapes.size() == model_flags->input_arrays_size()
Abort trap: 6
I think input_shapes in arguments is wrong.
But I do not know where to find input_shapes.
If can see it on the Tensorboard, please let me know how.
tensorflow tensorflow-lite
I try convert pb
to tblite
using bazel run tensorflow/lite/toco:toco
bazel run tensorflow/lite/toco:toco --
--input_file=opt_mask_rcnn_New.pb
--output_file=$opt_mask_rcnn_New.tflite
--input_shapes=1,2048,2048,3
--input_arrays=input_image,input_image_meta,input_anchors
--output_arrays=output_detections,output_mrcnn_class,output_mrcnn_bbox,output_mrcnn_mask,output_rois,output_rpn_class,output_rpn_bbox
--inference_type=FLOAT
I raise this error F tensorflow/lite/toco/model_cmdline_flags.cc:321] Check failed: input_shapes.size() == model_flags->input_arrays_size()
Abort trap: 6
I think input_shapes in arguments is wrong.
But I do not know where to find input_shapes.
If can see it on the Tensorboard, please let me know how.
tensorflow tensorflow-lite
tensorflow tensorflow-lite
edited 8 hours ago
Meister96Fels
104111
104111
asked 11 hours ago
oijafoijf asnjksdjnoijafoijf asnjksdjn
64
64
add a comment |
add a comment |
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