Deployment

from Urban Scene Segmentation for Autonomous Vehicles using Multi-Domain Adaptation

Deep Reinforcement Learning – DQN in Carla

This project is a Web API for Urban Scene Segmentation for Autonomous Car, using two models `Baseline` and `MTKT`, that can handle unsupervised domain adaptation (UDA) problem for multi-target datasets. In FastAPI documentation we propose our two functions that we use to segment labeled images and unlabeled images, and we make a web client that propose the Two functions also.

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Deep Reinforcement Learning – DQN in Carla

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Deep Reinforcement Learning – DQN in Carla

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Urban Scene Segmentation for Autonomous Vehicles using Multi-Domain Adaptation