Comments (4)
@skulltech Yes! I am on it.
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@marco-c Is it necessary to have different files for different persons? Like one person starts labeling images and has labeled 100 of them and then leaves, then we will create a file with these labels. Next day he again starts but the file name is not saved so he will have to start from start. Should I add a name_text_box
in the start so that person is able to enter the name or select the file from drop down menu
if he wants to append results to it?
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The person should be able to specify who they are by passing a "--person" option to label.py. The files will be named "labels_PERSON.csv", so they will be able to append results to it.
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@sagarvijaygupta are you working on this?
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Related Issues (20)
- Sort labels when saving them
- test_labels should validate all labels files
- test_labels.py is not actually testing the screenshots actually exist HOT 3
- Limit size of full page screenshot HOT 4
- Script to rename images and labels according to new convention
- Implementing Object Segmentation networks for bounding box annotations HOT 1
- Throw a meaningful error in utils.read_labels when labels.csv is empty HOT 2
- Running pretrain.py gives FileNotFoundError. HOT 4
- Try training a neural network using the responses from a DOM-based tool as features
- Try using the responses from a DOM-based tool as additional features
- Create a web-based tool to show predicted differences HOT 2
- Move the labeling tool to be web-based
- Use multiple releases of each browser
- Try using mdn/browser-compat-data to automatically label screenshot pairs
- Investigate training a model to detect regressions in a browser
- When prefilling an issue on webcompat.com, prefill as much as possible
- Add possibility to navigate to websites on demand
- Use Docker to run browsers and collect screenshots
- Train a baseline classifier HOT 12
- Out of memory error while training vgg16 and vgg19 with imagenet weights on Colab
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