Comments (1)
Mask RCNN TF2 not working properly : https://github.com/ahmedfgad/Mask-RCNN-TF2
I am trying to make some transfer learning using my own annotated dataset (JSON) not XML. For some X reason I have this issue.. Tried to make some changes and remove one "/" but then My epoch got stuck during the training phase...
hi I faced this issue as well and was able to solve it following a specific youtube video. I would give you the detailed info here but its a little complicated so better you follow the video and fix it yourself, which is very possible. Let me know if you still need the fix for this and i'll send it to you.
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Related Issues (20)
- code
- OK image learning
- ValueError: Error when checking input: expected input_image_meta to have shape (14,) but got array with shape (93,) HOT 1
- model = MaskRCNN(mode='training', model_dir=DEFAULT_LOGS_DIR, config=config) HOT 1
- AttributeError: module 'tensorflow' has no attribute 'random_shuffle'
- how to download this project HOT 1
- Create annotations for polyp image dataset HOT 1
- How can I add an attention mechanism to Mask R-CNN? Is there a specific code implementation available? HOT 1
- NotImplementedError: Save or restore weights that is not an instance of `tf.Variable` is not supported in h5, use `save_format='tf'` instead. Got a model or layer Conv2D with weights [<KerasVariable shape=(7, 7, 3, 64), dtype=float32, path=conv1/kernel>, <KerasVariable shape=(64,), dtype=float32, path=conv1/bias>] HOT 2
- Unresolved reference hdf5_format
- mrcnn not valid
- No module named 'keras.engine' HOT 5
- Problem in importing maskrcnn
- Maskrcnn import error HOT 3
- 'set_weights' error
- 0 accuracy when i run Mask RCNN with LabelMe software
- mask RCNN training takes too much time
- Training Mask R-CNN on custom data, but the training doesn't stop and produces no output or errors
- Updated version of this repo
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