patchcore

Pipeline training and inference Anomalib models UI in Anomaly Detection

PatchCore method for Industrial Anomaly Detection + CLIP

An unofficial implementation using Pytorch for "Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types". Improve the algorithm with DINO pretrained ViT. Implement algorithms based on PatchCore.

Comprehensive benchmark for anomaly detection models on MVTec AD dataset using Anomalib. Includes PatchCore, EfficientAD, FastFlow, STFPM, PaDiM with Gradio demo.

Training-free deep learning for unsupervised industrial defect detection & localization on MVTec AD, PatchCore & PaDiM, with image and pixel level AUROC and a one-click free-Colab demo.

Anomaly detection for visual defect inspection: trained on normal images only, with localisation. PyTorch + MVTec AD.

PatchCore + YOLO screw anomaly detection demo with Gradio UI (MVTec AD)

Modular 2D industrial inspection platform with a swappable method interface — two anomaly-detection methods (autoencoder + PatchCore) built from scratch, served via FastAPI + React, Dockerized. Benchmarked on MVTec AD (mean image AUROC 0.72 → 0.96).

Detección de defectos en tela con PatchCore + ONNX Runtime, API FastAPI, MLflow, drift y decisión de calidad ASTM D5430 / ISO 2859-1

AI-powered industrial surface defect detection using PatchCore-inspired anomaly detection, ResNet50 feature extraction, heatmap visualization, Google Gemini AI, PDF inspection reports, and Streamlit.

Edge anomaly detection for video streams with multi-backend inference benchmarking (TensorRT, ONNX, PyTorch)

Industrial visual anomaly detection using PatchCore with FastAPI, Streamlit and Docker deployment.

Build and run 2D industrial visual-inspection pipelines in a visual node editor — anomaly detection, YOLO, template matching, caliper, blob/color, OCR. Offline Python/PySide6 desktop app with a headless MCP server and ForgeAssist, an in-app Claude/ChatGPT/Gemini assistant.

Unsupervised anomaly detection pipeline for real-time welding quality control with IATF 16949 audit trail compliance.

Station de détection & diagnostic de défauts PCB — YOLOv11 (DsPCBSD+) + FastAPI + LLM + React

Real-time manufacturing defect detection using unsupervised PatchCore — FastAPI + Streamlit + OpenVINO

MVTec AD 上的非監督式表面瑕疵檢測（AOI）：PatchCore 與 PaDiM 在純 CPU 上跑三個類別的對照 benchmark，附解析度取捨表，並以漏檢／誤殺的成本分析回答閾值該怎麼定——零漏檢政策在各類別實際要付多少代價。

PatchCore fork rewritten to scale to 20k images — block-wise coreset projection, cutting peak memory from 120 GB to fit on a single GPU

Industrial visual anomaly detection on MVTec AD with a PatchCore-style pipeline, frozen ResNet18 features, coreset memory, defect heatmaps, human QC, and FastAPI.

Industrial anomaly detection: PatchCore, FastFlow, EfficientAD on MVTec benchmark