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Philippe Fournier, "Le réveil du hibou"

Posted By: TimMa
Philippe Fournier, "Le réveil du hibou"

Philippe Fournier, "Le réveil du hibou"
2021 | ASIN: B08Z33QYVF | Français | EPUB | 285 pages | 0.3 MB

La découverte d'un cadavre dans une maison particulière près du musée St Jean à Angers va semer le trouble parmi les forces de police.La divergence de point de vue entre le commissaire Bruno Brancchetti et le commandant Valérie Angeli ne simplifiera pas l'enquête.Mais au fait, est-ce un assassinat ou une mort naturelle ? Et si meurtre il y a eu, à qui profite le crime ?Et que vient faire Jules, clochard de son état dans toute cette affaire ? Un hibou tombé du ciel viendra jeter le trouble, lui aussi, faisant voler en éclats toutes les idées reçues…

Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach (Repost)

Posted By: AvaxGenius
Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach (Repost)

Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach by François Goudail
English | PDF | 2004 | 261 Pages | ISBN : 030647865X | 27 MB

Statistical Processing Techniques for Noisy Images presents a statistical framework to design algorithms for target detection, tracking, segmentation and classification (identification). Its main goal is to provide the reader with efficient tools for developing algorithms that solve his/her own image processing applications.

Train YOLO for Object Detection with Custom Data

Posted By: ELK1nG
Train YOLO for Object Detection with Custom Data

Train YOLO for Object Detection with Custom Data
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.38 GB | Duration: 7h 6m

Build your own detector by labelling, training and testing on image, video and in real time with camera: YOLO v3 and v4

Anomaly Detection

Posted By: ELK1nG
Anomaly Detection

Anomaly Detection
MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 1.20 GB | Duration: 4h 29m

Time Based, Non Time Based and Image Anomalies | Supervised & Unsupervised Learning