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Tools & Automation
CLI tools, utilities, converters, workflow automation, and productivity helpers
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- Raft Optical Flow ExtractionExtract dense per-pixel motion fields between consecutive video frames using a pretrained RAFT model, producing an HxWx2 flow tensor that can be channel-stacked with RGB or used as a standalone motion feature for action / impact / event detectionVotes: 0GitHub stars: 61
- Quantile Slice SamplingSamples a fixed number of slices from variable-length CT/MRI stacks using quantile indexing to produce consistent input depth.Votes: 0GitHub stars: 61
- Quadratic Weighted Kappa CallbackCustom training callback that computes Quadratic Weighted Kappa on validation data each epoch and checkpoints the best model.Votes: 0GitHub stars: 61
- Progressive Dropout UnetApply lower dropout in shallow/final U-Net layers and higher dropout in deep layers to preserve spatial detail while regularizing abstract featuresVotes: 0GitHub stars: 61
- Prediction Map Stitching AveragingStitch overlapping tile predictions into a full-resolution output by accumulating probabilities and dividing by per-pixel overlap countsVotes: 0GitHub stars: 61
- Pack Padded Sequence LossUses pack_padded_sequence to exclude padding tokens from cross-entropy loss in variable-length sequence generation.Votes: 0GitHub stars: 61
- Nested Unet Dense Skip ConnectionsUNet++ dense cross-depth skip connections that propagate deeper decoder features into all shallower decoder levelsVotes: 0GitHub stars: 61
- Multilabel Auc EvaluationComputes per-class ROC-AUC then macro-averages for multi-label classification evaluation and model selection.Votes: 0GitHub stars: 61
- Multichannel To Rgb AdaptationComposites multi-channel imagery (microscopy, satellite) into 3-channel RGB for pretrained CNN backbones.Votes: 0GitHub stars: 61
- Multi Window Channel StackingStack multiple CT window settings (brain, subdural, bone) as separate RGB channels for CNN inputVotes: 0GitHub stars: 61
- Multi Series Channel StackingStacks uniformly sampled slices from multiple MRI series (e.g., Sagittal T1, T2, Axial) into a single multi-channel tensor for one-pass inference.Votes: 0GitHub stars: 61
- Mixed Precision TrainingUses PyTorch AMP autocast and GradScaler for FP16 training, halving memory usage and speeding up training on modern GPUs.Votes: 0GitHub stars: 61
- Metadata Injection BottleneckInject scalar metadata (depth, position, clinical features) into U-Net bottleneck via RepeatVector and Reshape for metadata-aware segmentationVotes: 0GitHub stars: 61
- Map Iou Precision SweepCompute mean Average Precision by sweeping IoU thresholds from 0.5 to 0.95 on RLE-encoded instance masks using pycocotoolsVotes: 0GitHub stars: 61
- Laplacian Variance Blur ScoreScore image sharpness with the variance of the Laplacian (Pech-Pacheco) as a single scalar feature for downstream tabular models or as a hard blur filterVotes: 0GitHub stars: 61
- Kmeans Dominant Color ExtractionExtract an image's dominant RGB color via k-means over pixel-color space and emit three dense features capturing the modal color of the subjectVotes: 0GitHub stars: 61
- Heavy Augmentation PipelineComprehensive albumentations augmentation combining geometric, photometric, noise, blur, and cutout transforms for robust CV training.Votes: 0GitHub stars: 61
- Gradient AccumulationAccumulates gradients over multiple mini-batches before stepping the optimizer, simulating larger effective batch sizes.Votes: 0GitHub stars: 61
- Generative Output Numeric CleaningClean noisy numeric strings from generative model output by removing invalid characters, fixing malformed floats, and handling multiple decimal pointsVotes: 0GitHub stars: 61
- Frame Prediction AveragingAverage per-frame sigmoid predictions across sampled video frames to produce a stable video-level classification probabilityVotes: 0GitHub stars: 61
- Epoch Prediction AveragingCollect test predictions each epoch via callback and combine with exponentially increasing weights favoring later epochsVotes: 0GitHub stars: 61
- Ema Model AveragingTracks an Exponential Moving Average of model weights during training and evaluates both live and EMA models for more stable predictions.Votes: 0GitHub stars: 61
- Dicom Ipp Z Slice SortOrder DICOM slices into a coherent 3D volume by sorting on ImagePositionPatient[2] (the Z coordinate in patient space), with a filename-integer fallback for series whose tag is missing — never trust filename alphabetical order, never trust InstanceNumberVotes: 0GitHub stars: 61
- Dbscan Ensemble FusionFuses 3D object detections from multiple models by clustering nearby predictions with DBSCAN and taking cluster centroids.Votes: 0GitHub stars: 61