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captin411 authored
This algorithm plots a bunch of points of interest on the source image and averages their locations to find a center. Most points come from OpenCV. One point comes from an entropy model. OpenCV points account for 50% of the weight and the entropy based point is the other 50%. The center of all weighted points is calculated and a bounding box is drawn as close to centered over that point as possible.
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| .. | ||
| dataset.py | ||
| image_embedding.py | ||
| learn_schedule.py | ||
| preprocess.py | ||
| test_embedding.png | ||
| textual_inversion.py | ||
| ui.py |