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gracejary's Projects

occlusion_net icon occlusion_net

Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks

opencv-object-detection icon opencv-object-detection

:camera:Object detection with OpenCV on Java. DNN, HaarCascade, Template Matching, Color Detection etc.

paperweekly icon paperweekly

Papers for CNN, object detection, keypoint detection, semantic segmentation, AutoML etc.

physim-dataset-generator icon physim-dataset-generator

generate physically realistic synthetic dataset of cluttered scenes using 3D CAD models to train CNN based object detectors

pickpack icon pickpack

A ROS package for autonomous thin objects bin picking, specifically pharmaceutical blister packs, with UR10 robotic arm and Robotiq 2-Finger 140mm Adaptive Parallel-jaw gripper.

pix2pose icon pix2pose

Original implementation of the paper "Pix2Pose: Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation", in ICCV 2019, https://arxiv.org/abs/1908.07433

posefromshape icon posefromshape

(BMVC 2019) PyTorch implementation of Paper "Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects"

pvnet icon pvnet

Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral

recent-stars-2019 icon recent-stars-2019

:star: SLAM, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code

rgbd360 icon rgbd360

This project integrates the functionality to do image acquisition, localization and mapping using an omnidirectional RGB-D sensor developed in INRIA Sophia-Antipolis by the team LAGADIC, and with the collaboration of the University of Malaga. This functionality comprises: reading and serializing the data streaming from the omnidirectional RGB-D sensor; registering frames based on a compact planar description of the scene (http://www.mrpt.org/pbmap); loop closure detection; performing human-guided semi-automatic labelization of the scene; PbMap-based hybrid SLAM (i.e. using metric-topological-semantic information) with the omnidirectional RGB-D sensor moving freely with 6 DoF, or in planar movement with 3 DoF. Also, some visualization tools are provided to show the results from the above applications.

rgbd_graph_segmentation icon rgbd_graph_segmentation

Felzenszwalb and Huttenlocher's graph-based image segmentation algorithm, extended to use depth data in various ways

shapematchinggan icon shapematchinggan

[ICCV 2019, Oral] Controllable Artistic Text Style Transfer via Shape-Matching GAN

singleshotpose icon singleshotpose

This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR 2018. (https://arxiv.org/abs/1711.08848).

snake icon snake

Code for "Deep Snake for Real-Time Instance Segmentation"

sp_segmenter icon sp_segmenter

Superpixel-based semantic segmentation, with object pose estimation and tracking. Provided as a ROS package.

spherical_regression icon spherical_regression

PyTorch implementation of cvpr2019 paper "Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres".

ssd-6d icon ssd-6d

Inference code and trained networks for SSD-6D

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