Oneml Bootcamp Alternatives

Intro and sample apps to showcase oneML functionalities and possible use cases: Face Detection, Face Identification, Face Embedding, Vehicle Detection, EKYC, Person Attack Detection.
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Alternatives To sertiscorp/oneML-bootcamp
Project Name Stars Downloads Repos Using This Packages Using This Most Recent Commit Total Releases Latest Release Open Issues License Language
ndrplz/self-driving-car 2,479 0 0 about 3 years ago 0 11 C++
Udacity Self-Driving Car Engineer Nanodegree projects.
tatsuyah/vehicle-detection 1,068 0 0 over 8 years ago 0 1 Jupyter Notebook
Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
ahmetozlu/vehicle_counting_tensorflow 643 0 0 almost 5 years ago 0 27 mit Python
:oncoming_automobile: "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.
JunshengFu/vehicle-detection 509 0 0 about 4 years ago 0 20 gpl-3.0 Python
Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
ucbdrive/3d-vehicle-tracking 488 0 0 about 5 years ago 0 9 bsd-3-clause Python
Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)
andrewssobral/vehicle_detection_haarcascades 420 0 0 over 6 years ago 0 9 C++
Vehicle Detection by Haar Cascades with OpenCV
andrewssobral/simple_vehicle_counting 419 0 0 over 6 years ago 0 19 C++
Vehicle Detection, Tracking and Counting
xslittlegrass/CarND-Vehicle-Detection 351 0 0 about 9 years ago 0 11 Jupyter Notebook
Vehicle detection using YOLO in Keras runs at 21FPS
CaptainEven/Vehicle-Car-detection-and-multilabel-classification 323 0 0 over 5 years ago 0 22 mit Python
使用YOLO_v3_tiny和B-CNN实现街头车辆的检测和车辆属性的多标签识别 Using yolo_v3_tiny to do vehicle or car detection and attribute's multilabel classification or recognize
kcg2015/Vehicle-Detection-and-Tracking 296 0 0 over 6 years ago 0 11 Python
Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering
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