Pinned Repositories
Brno-Urban-Dataset
Navigation and localisation dataset for self driving cars and autonomous robots
cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
empty
something to go get
iclr2019
karabiner-windows-mode
Karabiner-Elements ruleset to make using Mac OS more sane by enabling common keyboard functionality used in Linux and Windows.
mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
python-dev-env
Python dev environment setup
resnet-18-tensorflow
ResNet-18 TensorFlow Implementation including conversion of torch .t7 weights into tensorflow ckpt
evu's Repositories
evu/Brno-Urban-Dataset
Navigation and localisation dataset for self driving cars and autonomous robots
evu/cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
evu/empty
something to go get
evu/iclr2019
evu/karabiner-windows-mode
Karabiner-Elements ruleset to make using Mac OS more sane by enabling common keyboard functionality used in Linux and Windows.
evu/mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
evu/python-dev-env
Python dev environment setup
evu/resnet-18-tensorflow
ResNet-18 TensorFlow Implementation including conversion of torch .t7 weights into tensorflow ckpt
evu/RaySAR
RaySAR is a 3D synthetic aperture radar (SAR) simulator which enables to generate SAR image layers related to detailed 3D object models. Moreover, it enables one to localize the 3D positions and surface intersection points related to reflected radar signals. In particular, RaySAR helps to understand the nature of signal multiple reflections at man-made objects (e.g. building structures) or artificial shapes. Scene models with different levels of detail can be processed - from digital surface models (DSMs) to high-end 3D structures - which can be defined in relative or absolute world coordinates. RaySAR can be run on Windows / Linux and is based on an adapted version of the open-source ray tracer POV-Ray.
evu/rotated_maskrcnn
Rotated Mask R-CNN: From Bounding Boxes to Rotated Bounding Boxes
evu/sahi
A lightweight vision library for performing large scale object detection/ instance segmentation.
evu/sar-pre-processing
This is the MULTIPLY repository containing the functionality for SAR pre processing.
evu/sarpy
A basic Python library to demonstrate reading, writing, display, and simple processing of complex SAR data using the NGA SICD standard.
evu/sat-stac
Python library for creating and working with STAC catalogs
evu/Satellite-Imagery-Datasets-Containing-Ships
A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.
evu/TensorFlow2.0-Examples
🙄 difficult algorithm, simple code.
evu/ulam-spiral
A graphical depiction of the set of prime numbers
evu/VDCNN
Tensorflow 2.0 Implementation of Very Deep Convolutional Neural Network for Text Classification
evu/vimrc
The ultimate Vim configuration (vimrc)
evu/vincenty
Calculate the geographical distance between 2 points with extreme accuracy.
evu/yolov3-tf2
YoloV3 Implemented in Tensorflow 2.0
evu/YOLOv3_TensorFlow
Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.