Comments (3)
github-actions
commented on May 28, 2024
Thanks for contributing this issue! We will be replying soon.
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AlvaroCavalcante
commented on May 28, 2024
Hello @StormWeaver, thank you for using the project. Yes, you need to change the variables with your own path. Remembering that:
- path-saved-model: Is the path of your saved_model folder with TensorFlow model
- path-label: Is your label_map.pbtxt path
- path-of-the-imgs: This is the path of the images that you want to annotate.
Although it's not very updated, you can refer to this tutorial to understand more about how this library works.
If you still have some doubt, I'll be happy to help you! :)
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AlvaroCavalcante
commented on May 28, 2024
I'm closing this issue due to inactivity! If you need more help, please, open this again!
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Related Issues (20)
- readme.md
- bug
- documentation
- duplicate
- enhancement
- Error parsing message HOT 5
- KeyError: "The name 'image_tensor:0' refers to a Tensor which does not exist. The operation, 'image_tensor', does not exist in the graph." HOT 4
- How to get pretrained model and what is it trained on? HOT 2
- XML result path dynamically HOT 2
- A way to set the min confidence level of the auto labels? HOT 2
- visualize_boxes_and_labels_on_image_array() got an unexpected keyword argument 'file_name' HOT 4
- tensorflow.python.framework.errors_impl.NotFoundError: /path-label-map.pbtxt; No such file or directory HOT 3
- How to set the dimensions for the bounding box? HOT 6
- Version issue within the setup.py HOT 19
- Create issue template HOT 4
- Question: I am trying to auto_annotate images using google collab but getting this error. HOT 2
- using yolov5 model HOT 2
- Could not find matching concrete function to call loaded from the SavedModel HOT 2
- Annotations are not generated HOT 3
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