From af4841523e9cea40cbe88d10106650b8f01e2ffb Mon Sep 17 00:00:00 2001 From: Jim Martens Date: Mon, 4 Feb 2019 13:55:11 +0100 Subject: [PATCH] Changed to 2D data and specified SSD as detection network --- Home.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/Home.md b/Home.md index b20ed41..1e07c38 100644 --- a/Home.md +++ b/Home.md @@ -1,8 +1,8 @@ General Idea of the Thesis: 1. Realistic scene with objects of YCB Video data set (self recorded or from data set). -2. Retrieve point cloud from scene. +2. Retrieve 2D data from scene. 3. Segment point cloud into separate areas for objects. -4. a) Feed neural network with 3D data for object. Classify object and calculate classification loss (cross entropy loss). - b) Feed autoencoder with 3D data for object. Calculate encoding loss. -5. In testing phase the encoding loss tells us if an object is unknown. \ No newline at end of file +4. a) Feed SSD with 2D data for object. Classify object and calculate classification loss (cross entropy loss). + b) Feed autoencoder with 2D data for object. Calculate encoding/decoding loss. +5. In testing phase the encoding/decoding loss tells us if an object is unknown. \ No newline at end of file