yf-res Goto Github PK

caret

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

computer-vision-video-lectures

A curated list of free, high-quality, university-level courses with video lectures related to the field of Computer Vision.

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

datascipy

Data Science with Python

dense_flow

Tools to extract dense optical flow from videos, based on OpenCV

dual_tvl1_optical_flow

dual tvl1 optical flow matlab version

facedetection-dsfd

腾讯优图高精度双分支人脸检测器

fall-detection-with-cnns-and-optical-flow

Repository containing the material required to reproduce the results of the paper "Vision-Based Fall Detection with Convolutional Neural Networks"

gluon-cv

Gluon CV Toolkit

grokking-system-design

Systems design is the process of defining the architecture, modules, interfaces, and data for a system to satisfy specified requirements. Systems design could be seen as the application of systems theory to product development.

hello-world

imregpoc

FFT based image registration tool for Python and MATLAB

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keras-apache-mxnet

Amazon Deep Learning's Keras with Apache MXNet support

kitti-3d-annotator

Annotation tool for labeling KITTI dataset 3D ground truth instance segmentation.

kitti_visual_odometry

Tutorial for working with the KITTI odometry dataset in Python with OpenCV. Includes a review of Computer Vision fundamentals.

lane-detection

point cloud lane detection

lane-marking-detection

This is the final project for the Geospatial Vision and Visualization class at Northwestern University. The goal of the project is detecting the lane marking for a small LIDAR point cloud. Therefore, we cannot use a Deep Learning algorithm that learns to identify the lane markings by looking at a vast amount of data. Instead we will need to build a system that is able to identify the marking just by looking at the intensity value within the point cloud.

ldls

LDLS (Label Diffusion LiDAR Segmentation) algorithm for instance segmentation of LiDAR point clouds.

mmaction2

OpenMMLab's Next Generation Action Understanding Toolbox and Benchmark

mmclassification

OpenMMLab Image Classification Toolbox and Benchmark

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

mmediting

OpenMMLab Image and Video Editing Toolbox

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

notch-filter-for-image-processing

Implemented Ideal, ButterWorth and Gaussian Notch Filter for Image processing in python (with GUI).

notebooks

Set of Jupyter Notebooks linked to Roboflow Blogpost and used in our YouTube videos.

open3d

Open3D: A Modern Library for 3D Data Processing

opencv-with-python-by-example

OpenCV with Python By Example, published by packt

openpcdet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.