david-imagr's repositories

caffe

Caffe: a fast open framework for deep learning.

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camera-fusion

Multiple cameras calibration and fusion with OpenCV Python.

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cvat

Computer Vision Annotation Tool (CVAT) is a web-based tool which helps to annotate video and images for Computer Vision algorithms

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darknet

Convolutional Neural Networks

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DeepLearningExamples

Deep Learning Examples

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ecosystem

Integration of TensorFlow with other open-source frameworks

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elephas

Distributed Deep learning with Keras & Spark

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gitignore

A collection of useful .gitignore templates

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Image-Stitching-OpenCV

Simple image stitching algorithm based on SIFT, homography, KNN and Ransac in Python and OpenCV

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keras-io

Keras documentation, hosted live at keras.io

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keras2cpp

This is a bunch of code to port Keras neural network model into pure C++.

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kerasify

Small library for running Keras models from a C++ application

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models

Models and examples built with TensorFlow

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ncsdk-aarch64

a modified version of ncsdk-v1 that works with aarch64 with ubuntu18 (for the rock64)

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rm

workaround script to make terminal `rm` work with system Trash

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Semantic-Segmentation-Suite

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

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setup-scripts

setup scripts

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SSD.TensorFlow

State-of-the-art Single Shot MultiBox Detector in Pure TensorFlow, QQ Group: 758790869

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ssd_keras

A Keras port of Single Shot MultiBox Detector

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stereo_matching

Tensorflow implementation of "Efficient Deep Learning for Stereo Matching"

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surround_vehicles_awareness

Learn to map surrounding vehicles onto a bird's eye view of the scene.

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tensorflow_template_application

TensorFlow template application for deep learning

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tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

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tensorrt

TensorFlow/TensorRT integration

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tensorrt-inference-server

The TensorRT Inference Server provides a cloud inferencing solution optimized for NVIDIA GPUs.

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tf-serving-k8s-tutorial

A Tutorial for Serving Tensorflow Models using Kubernetes

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yolo2NCS

Train yolo-v2 with keras and Convert weights to Movidius NCS

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yolov3-tf2

YoloV3 Implemented in Tensorflow 2.0

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