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import gluoncv as gcv
import mxnet as mx
from matplotlib import pyplot as plt


image_list = ['cat1.jpg', 'dog.jpg']

class ImageListData(mx.gluon.data.Dataset):
    def __init__(self, im_list):
        self.im_list = im_list

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docker==3.5.0
psutil
progressbar2

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# brew install coreutils, gdd has progress option
sudo gdd if=/dev/rdisk3 of=pi4.dmg status=progress bs=4M 

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val.rec for GluonCV tutorial

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from __future__ import division
import argparse, time, logging, os, math, tqdm, cv2

import numpy as np
import mxnet as mx
from mxnet import gluon, nd, image
from mxnet.gluon.data.vision import transforms

import matplotlib.pyplot as plt
import matplotlib

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import numpy as np


import os, sys

import gluoncv as gcv
import mxnet as mx

shapes_ref = []
with open('ref.txt', 'r') as fid:

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Web data storage

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"""SSD Demo script."""
import os
import argparse
import mxnet as mx
import gluoncv as gcv
from gluoncv.data.transforms import presets
from matplotlib import pyplot as plt

def parse_args():
    parser = argparse.ArgumentParser(description='Test with SSD networks.')