Unity-Technologies/Robotics-Object-Pose-Estimation
A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.
PythonApache-2.0
Stargazers
- 1222-takeshi@tier4
- 3110TOKYO, Japan
- ahmetunalunluMunich
- AndLydakisInnoTecUK, Cambridge
- AppServiceProviderDhaka, Bangladesh
- cnsystemHuawei
- dannylangeUnity Technologies
- DBKKHTelexistence
- GitHub30Osaka, Japan
- gong6387HangZhou,China
- gutogonn
- JamieJamesJamie@RedwoodTech
- jay-karimi
- jigar4586
- JosAngel94
- JungwonPyo
- karaage0703Darkness
- Kazuhito00Aichi, Japan
- kivister
- michaelchi08MCKC
- NightawayChina
- nullbyte91airbus
- RaidenMT
- rey-allanAmazon
- rjtngit
- saihvScaled Foundations
- seossine
- sleal-unityUnity Technologies
- SunAriesCNBeijing, China
- tahsinkose@aeolusbot
- tony-bergeltUnity
- tzairos
- Vinkaco
- wangcongrobotTU Delft
- zcemyclLondon
- zyxcambridgeshanghai