Joshua Z. Zhang zhreshold

## imagenet1000_clsid_to_human.txt
{0: 'tench, Tinca tinca',
 1: 'goldfish, Carassius auratus',
 2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
 3: 'tiger shark, Galeocerdo cuvieri',
 4: 'hammerhead, hammerhead shark',
 5: 'electric ray, crampfish, numbfish, torpedo',
 6: 'stingray',
 7: 'cock',
 8: 'hen',
 9: 'ostrich, Struthio camelus',

## demo.py
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

## requirements.txt
docker==3.5.0
psutil
progressbar2

## mxnet-white.svg

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

## README.md

      
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                GluonCV tutorial val.rec
              
          
    val.rec for GluonCV tutorial

  
## cr7.jpg

      
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                GluonCV notebooks for all hands
              
          
## resnet18.prototxt
name: "ResNet-18"
input: "data"
input_dim: 1
input_dim: 3
input_dim: 224
input_dim: 224

layer {
	bottom: "data"
	top: "conv1"

## check_platform.py
"""Diagnose script for checking OS/hardware/python/pip/mxnet/network.
The output of this script can be a very good hint to issue/problem.
"""
import platform, subprocess, sys, os
import socket, time
try:
    from urllib.request import urlopen
    from urllib.parse import urlparse
except ImportError:
    from urlparse import urlparse

## cam_demo.py
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
	{0: 'tench, Tinca tinca',
	1: 'goldfish, Carassius auratus',
	2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
	3: 'tiger shark, Galeocerdo cuvieri',
	4: 'hammerhead, hammerhead shark',
	5: 'electric ray, crampfish, numbfish, torpedo',
	6: 'stingray',
	7: 'cock',
	8: 'hen',
	9: 'ostrich, Struthio camelus',
	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
	# brew install coreutils, gdd has progress option
	sudo gdd if=/dev/rdisk3 of=pi4.dmg status=progress bs=4M
	name: "ResNet-18"
	input: "data"
	input_dim: 1
	input_dim: 3
	input_dim: 224
	input_dim: 224

	layer {
	bottom: "data"
	top: "conv1"
	"""Diagnose script for checking OS/hardware/python/pip/mxnet/network.
	The output of this script can be a very good hint to issue/problem.
	"""
	import platform, subprocess, sys, os
	import socket, time
	try:
	from urllib.request import urlopen
	from urllib.parse import urlparse
	except ImportError:
	from urlparse import urlparse
	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