Comments (9)
Hi, I'll give this a try!
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Redid it and now a minimum resolution can be specified. Right now they're at least 430x300, is that good or should it be a higher res?
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@Mornyres great, let me know if you need any help.
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OK, so I wrote a really basic Python script that just grabs a bunch of images and saves them as jpegs. It seems to work fine, but right now it's getting just the previews from google images, so most are around 150x150. Is that fine?
Also, It takes a list of keywords from a separate file and searches for each one. Right now I'm just giving it a list of known irregular galaxies and then manually going through and deleting anything that doesn't look like a galaxy.
Does this sound roughly right? Attached a few examples (Including some with lines or text I wasn't sure on whether to exclude)
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@Mornyres Hey, this looks good but during the preprocessing phase the images goes through cropping and scaling and for that generally it is better to have high-resolution images as this will be too small to even crop and due to this it might lose some important details.
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@Mornyres Please share an Example
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Those are the 4 smallest ones.
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@Mornyres These will be fine, try using them and see if there is no effect on the results. I don't think there will be.
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@Mornyres Please send a PR whenever you can.
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Related Issues (20)
- add .gitignore HOT 2
- Update the README.md HOT 1
- Moon HOT 1
- Add Training Data HOT 9
- Change Training data filenames HOT 14
- Classifying Celestial-bodies HOT 8
- Classify Satellites HOT 14
- Classify Meteor and Meteorites HOT 10
- Classify Asteroids HOT 13
- Supress tensorflow warnings HOT 5
- Change Test data files names HOT 4
- Create GUI HOT 15
- Setup CI build Travis HOT 12
- Add test cases HOT 13
- Refine information displayed about the identified celestial bodies HOT 2
- Update Readme for Moon and Asteroids HOT 3
- Deploy current webapp to project site HOT 3
- Improve GUI (WebApp) HOT 5
- Add Pluto and other Dwarf planets HOT 9
- TensorFlow version in retrain.py HOT 5
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