| Commit message (Collapse) | Author | Age | Files | Lines |
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Also minor refactor
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It didn't make sense to have two differente files for the same and
"models" is a more descriptive name.
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In batch mode run_extras tries to preserve the original file name of the
images. The problem is that this makes no sense since the user only gets
a list of images in the UI, trying to manually save them shows that this
images have random temp names. Also, trying to keep "orig_name" in the
API is a hassle that adds complexity to the consuming UI since the
client has to use (or emulate) an input (type=file) element in a form.
Using the normal file name not only doesn't change the output and
functionality in the original UI but also helps keep the API simple.
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- Separate extra modes into 3 endpoints so the user ddoesn't ahve to
handle so many unused parameters.
- Add response model for codumentation
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function
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image save to use a class with parameters
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it should be zeros_ or parameterized in future properly.
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fix dropouts for future hypernetworks
add kwargs for Hypernetwork class
hypernet UI for gradio input
add recommended options
remove as options
revert adding options in ui
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[Preprocess image] New option to auto crop based on complexity, edges, faces
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Try to move the crop in the direction of a face if it is present
More internal configuration options for choosing weights of each of the algorithm's findings
Move logic into its module
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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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add weight init
add weight init option in create_hypernetwork
fstringify hypernet info
save weight initialization info for further debugging
fill bias with zero for He/Xavier
initialize LayerNorm with Normal
fix loading weight_init
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