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License: MIT License
Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.
License: MIT License
also on export to CNTK and suggest tags
The load video sequence is a bit confusing – you shouldn’t be able to submit if you didn’t select a video
Add image support in addition to video tagging
Instead of exporting all frames that have no tags only export frames that people have visited
ipcMain.on('setWindowSize') stretches the tagging canvas and breaks the tagging mechanism.
A. auto runs tracking till the end of a scene
B. if the tracker is unsure about a suggestion prompts for user input
C. continues tracking to the end of a scene
Since a certain user can have multiple version of CNTK installed, we'll probably want to allow the user to choose with which version of CNTK he wants to work.
For now - we always assumes that the directory is named c:\local\cntk.
This requires a minor fix in the node-cntk-fastrcnn module, but the majority of the work should be on the UI.
I'm setting priority to P2, although it's a pretty critical feature in order to have the auto tagging useful IMO.
Repro steps:
looks like snapToAspectRatio might have broken this
@nadavbar need clarification
Update Tracking Blacklist to blacklist suggesting frame/region and not the suggested region.
Currently the tracking blacklist blacklists suggestions on next frame instead of the current frame updating this will make keeping track of suggestions much more effecient
Eventhough Frame Changes. The canvas is not loaded. Solution the onupdate event to canplaythrough.
repro:
If i tag an object in a video preform blob tracking of the tagged div on the subsequent frames and provide suggested tags from that.
This thread discuss possible ways to reduce the package size: electron/electron#2003
Create a function that goes frame by frame into a function that takes a call back to clean the export to and review cntk code
Make the label default to the last used label instead of none or make it at least default to the first label if their is only one label provided instead of none.
Add a control that allows the user to quickly skip to any frame.
-Add a hover to visualize a frame on the skip bar
Add support for rendering the results of a model in the tool for suggested tags
A command line function to train a model using the "cntk export folder" that is generated by the tool.
1/2 day @nadavbar need clarification on which frames goes into which folder
Add an overlay and animation on top of the video during the export process
Can input 0 (which crashes the app after frame is stepped) or > 999
Add code to enable the training of a model from multiple tagged videos
A one time operation to to export frame of a video into a folder.
Loads metadata from batch cntk tagging
Lets make sure this is the most elegant way of doing this. I want to minimize the amount of forms and dialogs
The current implementation creates a new background video and iterator for every tag, it should only iterate once.
positive export files are missing after the export operation.
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