Displaying 1 to 10 from 10 results

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

  •    Python

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 and monitor it with TensorBoard. You can even test your model with our built-in Inference REST API. 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

  •    Python

This repository, based on AlexeyAB's darknet repro, 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 and monitor it in many different ways like TensorBoard or a custom REST API and GUI. Training with YOLOv4 has never been so easy. This repository has also cross compatibility with Yolov3 training.

BundleFusion - [Siggraph 2017] BundleFusion: Real-time Globally Consistent 3D Reconstruction using Online Surface Re-integration

  •    C++

You are free to use this code with proper attribution in non-commercial applications (Please see License.txt). More information about this project can be found in our paper and project website.




awesome-visual-slam - :books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

  •    

[1] Raúl Mur-Artal, J. M. M. Montiel and Juan D. Tardós. ORB-SLAM: A Versatile and Accurate Monocular SLAM System. IEEE > Transactions on Robotics, vol. 31, no. 5, pp. 1147-1163, 2015. (2015 IEEE Transactions on Robotics Best Paper Award). PDF. [2] Dorian Gálvez-López and Juan D. Tardós. Bags of Binary Words for Fast Place Recognition in Image Sequences. IEEE > Transactions on Robotics, vol. 28, no. 5, pp. 1188-1197, 2012. PDF. D. Nister, “An efficient solution to the five-point relative pose problem,” Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 26, no. 6, pp. 756–770, 2004.

bonnetal - Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks

  •    Python

Example semantic segmentation of People vs Background using one of the included, real-time, architectures (running at 100FPS). By Andres Milioto et.al @ University of Bonn.


satori-video-sdk-cpp - Satori Video C++ SDK

  •    C++

The Satori Video SDK is a set of libraries for building bots that analyze compressed, streaming video in the form of messages. The SDK subscribes to a channel containing streaming video messages, continuously receive these messages, decompress them, and convert them to individual image frames. To analyze these frames, you provide the SDK with an image processing callback function that's invoked for each new frame. In this callback, you analyze the frames using your own or 3rd-party libraries and publish results via an API call that uses the Satori publish-subscribe platform. This API call can also publish debug and metrics messages to their own channels. The SDK uses the Satori publish-subscribe platform, which provides reliable, high throughput I/O. It accepts real-time streaming video and can publish image processing results to thousands of subscribers at once.

ncs_detection - Raspberry Pi NCS Object detection,端上CNN实践

  •    Python

Raspberry Pi NCS Object detection,端上CNN实践






We have large collection of open source products. Follow the tags from Tag Cloud >>


Open source products are scattered around the web. Please provide information about the open source projects you own / you use. Add Projects.