SSD-Tensorflow
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Training For Custom Images and Classes
Can you please write a good readme for implemetation of SSD for custom objects and classes. or Someone Please help me train on my own images...I have all images and thier bounding boxes...All I need is the process to implement it in SSD
I have the same question, do you have any solution?
I have the same question,too
I have problem restoring the checkpoint when training custom classes:
NotFoundError (see above for traceback): Restoring from checkpoint failed. This is most likely due to a Variable name or other graph key that is missing from the checkpoint. Please ensure that you have not altered the graph expected based on the checkpoint. Original error:
Key beta1_power not found in checkpoint
[[node save/RestoreV2 (defined at train_ssd_network.py:372) = RestoreV2[dtypes=[DT_FLOAT, DT_FLOAT, DT_INT64, DT_FLOAT, DT_FLOAT, ..., DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT], _device="/job:localhost/replica:0/task:0/device:CPU:0"](_arg_save/Const_0_0, save/RestoreV2/tensor_names, save/RestoreV2/shape_and_slices)]]
Anyone knows how to solve it? Thanks a lot!!!
@xiyuanzh The checkpoint from the provided model?