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[[File:steps-1st-attemp.mp4]] | [[File:steps-1st-attemp.mp4]] | ||
Here I started from a pre-trained dataset of HQ landscapes and then selected my first microscopy dataset as custom dataset. The first dataset was based on less images - about 1200 - therefore I got as a result a less heterogeneous folder of images. | |||
Output and notes: | |||
1000 new samples images generated by this machine learning model which look like my images (although not that similar because based on an indefinite shape; this feature comes from the fact that my original images where quite blurred and dark, in fact my initial aim was to create analog errors! It is pretty amazing how the algorithm works in trying to reproduce the input). | |||
Preview generated folder: | |||
<gallery> | <gallery> | ||
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</gallery> | </gallery> | ||
'''2nd attempt''' 7000 steps | '''2nd attempt''' 7000 steps | ||
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Output and notes: | Output and notes: | ||
1000 new samples images generated by this machine learning model which look like my images (they still have indefinite shapes instead of rounded ones, but they are more colorful and diverse); | 1000 new samples images generated by this machine learning model which look like my images (they still have indefinite shapes instead of rounded ones, but they are more colorful and diverse); | ||
Preview generated folder: | |||
<gallery> | |||
File:img000000000.jpg | |||
File:img000000006.jpg | |||
File:img000000003.jpg | |||
File:img000000005.jpg | |||
File:img000000030.jpg | |||
File:img000000018.jpg | |||
File:img000000044.jpg | |||
File:img000000088.jpg | |||
File:img000000095.jpg | |||
File:img000000001.jpg | |||
File:img000000205.jpg | |||
File:img000000180.jpg | |||
</gallery> | |||
'''3rd attempt''' 700 steps | '''3rd attempt''' 700 steps | ||