BMW-InnovationLab/BMW-Semantic-Segmentation-Inference-API-GPU-CPU
This is a repository for a Semantic Segmentation inference API using the Gluoncv CV toolkit
This tool helps automate the visual inspection and analysis of images by identifying and outlining specific objects within them. You provide an image, and it outputs a segmented image with the detected objects highlighted, or a JSON file detailing their locations. It's designed for computer vision engineers or researchers who need to deploy and use trained semantic segmentation models.
No commits in the last 6 months.
Use this if you need to quickly and programmatically apply a pre-trained semantic segmentation model to new images and retrieve the segmentation masks or bounding box data.
Not ideal if you need to train a new semantic segmentation model from scratch, as this tool focuses solely on inference (using an existing model).
Stars
57
Forks
4
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 04, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/BMW-InnovationLab/BMW-Semantic-Segmentation-Inference-API-GPU-CPU"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
MLSTRUCT/MLStructFP
Multi-unit floor plan dataset for architectural analysis and recognition
DrSleep/light-weight-refinenet
Light-Weight RefineNet for Real-Time Semantic Segmentation
wkentaro/pytorch-fcn
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original...
luyanger1799/Amazing-Semantic-Segmentation
Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN,...
meetps/pytorch-semseg
Semantic Segmentation Architectures Implemented in PyTorch