Cam2BEV
BEV generator
Transforms images from multiple cameras into semantically segmented bird's eye view images using deep learning
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
720 stars
27 watching
117 forks
Language: Python
last commit: about 1 year ago
Linked from 1 awesome list
autonomous-vehiclesbirds-eye-viewcomputer-visiondeep-learningipmmachine-learningsegmentationsim2realsimulation
Related projects:
Repository | Description | Stars |
---|---|---|
| An open-source implementation of an image segmentation model that combines background removal and object detection capabilities. | 1,484 |
| A TensorFlow implementation of an Nvidia paper aimed at researching and testing self-driving car computer vision software. | 1,272 |
| A PyTorch implementation of an encoder-free vision-language model that can be fine-tuned for various tasks and modalities | 246 |
| Tools for quickly viewing satellite and hyperspectral images in the terminal | 228 |
| An implementation of semantic image synthesis via adversarial learning using PyTorch | 145 |
| Monorepo implementing PyTorch-based neural network architecture for image segmentation | 1,787 |
| Deep learning models for semantic segmentation of images | 101 |
| An open-source implementation of Variational Autoencoders and Conditional Variational Autoencoders for image reconstruction tasks | 503 |
| An implementation of a fully convolutional network-based road segmentation model using TensorFlow. | 911 |
| Automates large batches of AI-generated artwork locally using GPU acceleration. | 633 |
| Improves performance of vision language tasks by integrating computer vision capabilities into large language models | 314 |
| Automated image segmentation algorithm for autonomous driving research using the Carla dataset | 8 |
| This project aims to accurately detect vehicles and drivable roads in images from a simulator at high frame rates. | 9 |
| A system for generating 3D meshes from input images using learned implicit representations | 805 |
| A TensorFlow model for recognizing text in images using visual attention and a sequence-to-sequence architecture. | 1,079 |