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I am running training on a dataset of immunofluorescence images of cells in which the segmentation masks have 3 values for pixel intensities in the masks (0, 128, 255). 0 being background, 128 nuclei,…
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Currently, clean-jsdoc-theme loads custom CSS and JavaScript files near the beginning of the `` section of index.js. Since custom CSS files are loaded before clean-jsdoc-theme.min.css, conflicting sty…
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How to obtain as a result the masks without the background image?
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In my image, there's a mobile, but when I use 'predictor.predict_torch', I only get a mask with background but no mobile.
below is the codes:
`
> sam = sam_model_registry["vit_l"](checkpoin…
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We should discuss if and then how we would implement loading features like timeline copping and masking *BEFORE* the actual loading.
Background:
We enable subsetting, and rsizing at the moment, wh…
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I assumed the black background on the final stats screen was a bug, but apparently this is OG behaviour.
TR2Main uses the END.PCX image as a background which is a nice touch. TR2X could perhaps ad…
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**Describe what you are trying to accomplish and why in non technical terms**
Security cameras are typically installed to monitor specific areas where the background remains largely static (e.g.,…
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There is an issue with false positive detections around the source extraction radius. This is caused by the rms grid method underestimating the RMS around the extraction radius as it only covers the e…
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`"n_init should be > 0, got {self.n_init} instead."`
The above error came due to
`cluster = KMeans(init="random", n_clusters=n_clusters, n_init="auto", max_iter=300).fit_predict(cube)` in `data_o…
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Hi, thank you for making this great work!
If I keep the same inference resolution as the original image (means scale = 1.0), I will have a chance to get a blurry result.
If I set the inference res…