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Lightweight C++ and Python interface for datasets in zarr and N5 format
Mask R-CNN creates a high-quality segmentation mask in addition to the Faster R-CNN network. In addition to class labels and scores, a segmentation mask is created for the objects detected by this neural network. In this repository, using Anaconda prompt step by step Mask R-CNN setup is shown.
Used Convolutional Deep Neural nets to extract features from the image
Docker image with python-3.8.10 and gdal-3.3.0 for data science。用于构建数据科学和机器学习应用的 python 镜像,内置了常规开发包,易于自定义扩展。
Blazing fast HDF5 Image Generator for Keras :zap:
Both deep learning datasets can be imported in python directly with h5py (HDF5 format). The datasets can be directly imported or converted with a python script.
Jupyer notebook and snippets for the PyData Munich HDF5 tutorial
An easy to use C++ interface to HDF5 library, implemented in templates
Classifying Three Types of Brain Tumor
Personalized anime recommendations based on collaborative filtering. Discover your next favorite anime!
Easy way to visualize convolutional neural networks, through two visualizations : Reason & MaxOut. Final version : web app.
Abstraction layer on top of h5py for storing time-indexed Pandas data (Series, DataFrame). Focus is fast retrieval of range and index queries but should also support flexible modification of data.
Uno Card detection system with Image processing and convolutional neural network on SVHN DATASET
Create a compact HDF5 image dataset without resizing and decoding to numpy arrays
Basic, easy, quick HDF5 recursive check for file errors with Python and h5py
Recognition of digits using Convolution Neural Networks and openCV Concept
Python package for quickly loading, saving, and converting between common neuroimaging files.
h5py-like utility for NeXus files with seamless scipp integration
The program recursively searches through folders for .dat files and images, converting them into datasets within an HDF5 file. It utilizes the NumPy library for data handling and the h5py library for HDF5 file manipulation.
ML-training