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Project description
Threaded File Loader
Multithreaded Python package for faster file loading in machine learning.
Installation
pip install ThreadedFileLoader
Usage:
Loading Image Files:
from ThreadedFileLoader.ThreadedFileLoader import *
instance = ThreadedImageLoader("path_to_/*.jpg")
instance.start_loading()
images = instance.loaded_objects
print(len(images))
print(images[0].shape)
Loading Text Files:
from ThreadedFileLoader.ThreadedFileLoader import *
instance = ThreadedTextLoader("path_to_/*.txt")
instance.start_loading()
images = instance.loaded_objects
Loading Custom File Formats
Threaded FileLoader can load different file types.
This examples shows how the ThreadedTextLoader
class
overloads the ThreadedFileLoader
class to load text files.
from ThreadedFileLoader.ThreadedFileLoader import *
class ThreadedTextLoader(ThreadedFileLoader):
def object_loader(self, path):
with open(path) as afile:
data = afile.readlines()
return data
instance = ThreadedTextLoader("path_to_/*.txt")
instance.start_loading()
texts = instance.loaded_objects
Machine Learning Example
Loading Dataset
import numpy as np
from ThreadedFileLoader.ThreadedFileLoader import *
from sklearn.cluster import KMeans
instance = ThreadedImageLoader("path_to_dataset/*.jpg")
instance.start_loading()
images = instance.loaded_objects
images = np.array(images)
images = images.reshape(len(images), -1)
kmeans = KMeans(n_clusters=10, random_state=0).fit(images)
print(kmeans.labels_)
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