gehadza Goto Github PK

3d-detection-tracking-viewer

3D detection and tracking viewer (visualization) for kitti & waymo dataset

ab3dmot

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

cnn

colab-mask-rcnn

How to run Object Detection and Segmentation on a Video Fast for Free

data

deep-learning-keras-tf-tutorial

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

deepfusionmot

Code for RA-L journal and IROS 2022 paper "DeepFusionMOT: A 3D Multi-Object Tracking Framework Based on Camera-LiDAR Fusion with Deep Association".

eagermot

Official code for "EagerMOT: 3D Multi-Object Tracking via Sensor Fusion" [ICRA 2021]

faster-r-cnn

gehadza

Config files for my GitHub profile.

jjj

kitti

my-project

object-detection---yolov3

This notebook implements an object detection based on a pre-trained model - YOLOv3. The model architecture is called a “DarkNet” and was originally loosely based on the VGG-16 model.

pointrcnn

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.

project2

pytorch-tutorials

My notes, experiments, and implementations from learning pytorch from various resources.

pytorch-yolov3-kitti

use yolov3 pytorch to train kitti

rcnn

FULL Implementation of RCNN from scratch

rcnn-1

Step-By-Step Implementation of R-CNN from scratch in python

rrc_detection

Accurate Single Stage Detector Using Recurrent Rolling Convolution

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

test

training

voxelnet

:mag_right: :oncoming_automobile: :articulated_lorry: :walking: :bike: 3D objects detections in LIDAR point clouds for autonomous driving