Training a Faster R-CNN from scratch on LISA Traffic Signs dataset using TensorFlow Object Detection API
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Updated
Apr 22, 2018 - Python
Training a Faster R-CNN from scratch on LISA Traffic Signs dataset using TensorFlow Object Detection API
Standardized evaluation of modern object detectors beyond COCO.
PyTorch implementation of YOLOv3, pretrained on GTSRB and LISA dataset.
Object detection and Localization using YOLO V2 algorithm for classifying different objects (cars, trucks, traffic lights, etc.) present on road
Realtime traffic sign detection on mobile
A lightweight, user-friendly Python toolkit for LISA sensitivity curve generation, visualization, and gravitational-wave analysis.
Code library for computing gravitational wave spectra, dark matter halo profiles, galaxy rotation curves, galaxy cluster dynamics, and multi-messenger observables from the Expanded Quantum String Theory with Gluonic Plasma (EQST-GP) framework.
Repository contains the complete computational library when Every number appearing in the paper — mass ratios, relic abundance, self-interaction cross-sections, gravitational wave peak frequency and SNR, collider event rates is generated by running the code in this repository
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