C++ parser for the RAW KITTI dataset, with callbacks
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Updated
Nov 22, 2016 - C++
C++ parser for the RAW KITTI dataset, with callbacks
converts KITTI tracklets into vectors denoting flow, for object tracking
NgNet is a car detector based on KittiBox.
TensorFlow implementation for "Guided Optical Flow Learning"
squeezeDet for object detection port to MXNet
Caffe implementation for "Guided Optical Flow Learning"
label KITTI point cloud (3d) drivable area using provided image annotations (2d)
My implementation of Semantic Segmentation Networks on different datasets. Also my repo for the Big Data Challege
Labeled the pixels of a road in images using a Fully Convolutional Network (FCN).
Convert PASCAL VOC evaluation results to KITTI
Steps to reproduce training results for the paper Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?
Python functions to import and display the images and labels from the Kitty Object Detection Evaluation 2012 Dataset.
Estimate object trajectories in an automotive context, using KITTI dataset, with CNNs.
Tools and Collection of Models to Experiment on the KITTI Dataset using Keras
Tools to adapt the Playing For Benchmark dataset to the KITTI format
Semantic Segmentation
An extension of KittiSeg with network pruning to make things smol and fast
Evaluation code for KITTI
Pixel segmentation of roads from dashboard camera using Fully Convolutional Network
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