BMW-InnovationLab/BMW-HemiStereo-API

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Apache License 2.0
Created over 3 years ago
Updated over 2 years ago

BMW-InnovationLab/BMW-HemiStereo-API

BMW-InnovationLab

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This is a repository for an object detection inference API using the Hemistereo NX 180 X camera. It allows you to label an object based on the training of a model from a server. Also, it allows you to calculate the distance of the object from the camera, as well as its dimensions: depth, width and height.

BMW-TensorFlow-Training-GUI

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

BMW-YOLOv4-Training-Automation

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.

BMW-TensorFlow-Inference-API-GPU

This is a repository for an object detection inference API using the Tensorflow framework.

BMW-Labeltool-Lite

This repository provides you with an easy-to-use labeling tool for State-of-the-art Deep Learning training purposes. It supports Auto-Labeling.

BMW-YOLOv4-Inference-API-GPU

This is a repository for an nocode object detection inference API using the Yolov3 and Yolov4 Darknet framework.

BMW-YOLOv4-Inference-API-CPU

This is a repository for an nocode object detection inference API using the Yolov4 and Yolov3 Opencv.

BMW-TensorFlow-Inference-API-CPU

This is a repository for an object detection inference API using the Tensorflow framework.

BMW-Anonymization-API

This repository allows you to anonymize sensitive information in images/videos. The solution is fully compatible with the DL-based training/inference solutions that we already published/will publish for Object Detection and Semantic Segmentation.

BMW-Classification-Training-GUI

This repository allows you to get started with training a State-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset and you can start the training right away. You can even test your model with our built-in Inference REST API. Training classification models with GluonCV has never been so easy.

BMW-IntelOpenVINO-Detection-Inference-API

This is a repository for a No-Code object detection inference API using the OpenVINO. It's supported on both Windows and Linux Operating systems.

SORDI-AI-Evaluation-GUI

This repository allows you to evaluate a trained computer vision model and get general information and evaluation metrics with little configuration.

SORDI-Data-Pipeline-Reader

SORDI dataset has per frame annotation file in json format. Following tools create a COCO style annotation out of it. Thus the SORDI data can be easily fed into COCO style training pipelines.

Jupyter Notebook

BMW-Semantic-Segmentation-Inference-API-GPU-CPU

This is a repository for a Semantic Segmentation inference API using the Gluoncv CV toolkit

BMW-Classification-Inference-GPU-CPU

This is a repository for an image classification inference API using the Gluoncv framework. The inference REST API works on CPU/GPU. It's supported on Windows and Linux Operating systems. Models trained using our Gluoncv Classification training repository can be deployed in this API. Several models can be loaded and used at the same time.

BMW-Optical-Objects-Recognition-API

This is a repository for an optical objects recognition API.

BMW-IntelOpenVINO-Segmentation-Inference-API

This is a repository for a semantic segmentation inference API using the OpenVINO toolkit

BMW-Semantic-Segmentation-Training-GUI

BMW Semantic Segmentation Training GUI. This Repository enables you to perform training using GluonCv toolkit with little to no configuration.