Specifications¶
The following table gives the specifications of all deep learning methods in eVision for EasyClassify, EasySegment and EasyLocate.
EasyClassify |
EasySegment Unsupervised |
EasySegment Supervised |
EasyLocate |
|
|---|---|---|---|---|
Minimum image size |
128 x 128 |
64 x 64 |
128 x 128 |
|
Maximum image size |
1024 x 1024 |
10 000 x 10 000 |
500 000 pixels (for ex. 707 x 707 for square images) |
|
Best image size |
224 x 224 |
n.a. |
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Number of channels |
1 or 3 (grayscale and color images) |
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Bit depth |
8 bits, 16 bits |
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Number of labels |
2 - 1000 |
2 (good and defective) |
2 - 64 |
|
Minimum number of images per label |
2 |
1 for the good label 0 for the defective label |
1 |
|
Supported formats |
bmp, png, jpeg, j2k, tiff |
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