Skill Claude CodeCodex
Comprehensive albumentations augmentation combining geometric, photometric, noise, blur, and cutout transforms for robust CV training.
Skill Claude CodeCodex
Comprehensive albumentations augmentation combining geometric, photometric, noise, blur, and cutout transforms for robust CV training.
Skill Claude CodeCodex
Inverts whole slide image pixel values (1 - x) so white background becomes zero, enabling standard zero-padding and making tissue regions the active signal.
Skill Claude CodeCodex
Apply radiological windowing to HU images — clamp to center/width range for tissue-specific visualization (lung, bone, soft tissue).
Skill Claude CodeCodex
Evaluates 3D object detection by matching predicted and ground-truth coordinates via the Hungarian algorithm, then computing F-beta score.
Skill Claude CodeCodex
Grid search binarization thresholds on validation predictions to find the cutoff that maximizes mean IoU.
Skill Claude CodeCodex
Evaluation scorer that merges predictions with GT per frame, takes top-IoU match per GT, and computes weighted accuracy with IoU threshold gate.
Skill Claude CodeCodex
Resize images preserving aspect ratio then zero-pad to a square to avoid distortion artifacts in face crops or object detection inputs.
Skill Claude CodeCodex
Resample 3D CT volumes to uniform voxel spacing using scipy zoom, normalizing physical dimensions across scanners.
Skill Claude CodeCodex
Use albumentations keypointparams to jointly augment BEV rasters and trajectory target points so the spatial transform stays consistent.
Skill Claude CodeCodex
Average predictions from K independently trained fold models at inference time for variance reduction without stacking complexity.
Skill Claude CodeCodex
Extract an image's dominant RGB color via k-means over pixel-color space and emit three dense features capturing the modal color of the subject.
Skill Claude CodeCodex
KNN-based retrieval with grid-searched distance threshold to convert embedding neighbors into match predictions.
Skill Claude CodeCodex
Use linear assignment problem (LAP/lapjv) on a score matrix to select globally optimal hard-negative pairs for metric learning.
Skill Claude CodeCodex
Score image sharpness with the variance of the Laplacian (Pech-Pacheco) as a single scalar feature for downstream tabular models or as a hard blur filter.
Skill Claude CodeCodex
Disable horizontal-flip augmentation (both train-time and TTA) when label columns encode left/right anatomy — flipping silently corrupts the targets because "Left ICA" must map to "Right ICA" after a flip, not stay as "Left ICA".
Skill Claude CodeCodex
Trainable nonlinear distance metric that transforms (v1-v2) and (v1-v2)^2 through a linear layer before computing squared norm.
Skill Claude CodeCodex
Evaluates image-to-sequence models using mean Levenshtein edit distance between predicted and ground-truth strings.
Skill Claude CodeCodex
Subtracts a Gaussian-blurred version of the image from itself to normalize local illumination and enhance fine structural details.
Skill Claude CodeCodex
Lovasz hinge loss that directly optimizes IoU for binary segmentation by computing a convex surrogate via sorted prediction errors and cumulative Jaccard gradients.
Skill Claude CodeCodex
Compute mean Average Precision by sweeping IoU thresholds from 0.5 to 0.95 on RLE-encoded instance masks using pycocotools.
Skill Claude CodeCodex
Convert binary segmentation masks to Shapely MultiPolygons using cv2 contour hierarchy to correctly handle interior holes, with Douglas-Peucker simplification.
Skill Claude CodeCodex
Inject scalar metadata (depth, position, clinical features) into U-Net bottleneck via RepeatVector and Reshape for metadata-aware segmentation.
Skill Claude CodeCodex
Mask the corners of a dermoscopy image with a random-radius black circle to mimic the dark vignette of a dermatoscope field of view.
Skill Claude CodeCodex
Compress a 3D medical volume into a 3-channel 2D image by stacking the middle slice, the max-intensity projection across depth, and the per-pixel std across depth — a poor-man's volumetric encoding that lets any pretrained 3-channel 2D CNN ingest a whole series in a single forward pass.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: