Created
July 3, 2019 21:11
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DALI Post-1.5
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import types | |
import numpy as np | |
import collections | |
import pandas as pd | |
from random import shuffle | |
import nvidia.dali.ops as ops | |
import nvidia.dali.types as types | |
from nvidia.dali.pipeline import Pipeline | |
class ExternalInputIterator(object): | |
def __init__(self, batch_size, data_file, image_dir): | |
self.images_dir = image_dir | |
self.batch_size = batch_size | |
self.data_file = data_file | |
with open(self.data_file, 'r') as f: | |
self.files = [line.rstrip() for line in f if line is not ''] | |
shuffle(self.files) | |
def __iter__(self): | |
self.i = 0 | |
self.n = len(self.files) | |
return self | |
def __next__(self): | |
batch = [] | |
labels = [] | |
for _ in range(self.batch_size): | |
# *label reads multiple labels | |
jpeg_filename, *label = self.files[self.i].split(' ') | |
f = open(image_dir + jpeg_filename, 'rb') | |
batch.append(np.frombuffer(f.read(), dtype = np.uint8)) | |
labels.append(np.array(label, dtype = np.uint8)) | |
self.i = (self.i + 1) % self.n | |
return (batch, labels) | |
next = __next__ |
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