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SSD demo中详细介绍了如何在VOC数据集上使用SSD进行物体检测的训练和验证。
本文介绍如何使用SSD实现对自己数据集的训练和验证过程,内容包括:
1 数据集的标注
2 数据集的转换
3 使用SSD如何训练
4 使用SSD如何测试
1 数据集的标注
数据的标注使用BBox-Label-Tool工具,该工具使用python实现,使用简单方便。修改后的工具支持多label的标签标注。
该工具生成的标签格式是:
object_number
className x1min y1min x1max y1max
classname x2min y2min x2max y2max
...
1.1 labelTool工具的使用说明
BBox-Label-Tool工具实现较简单,原始的git版本使用起来有一些小问题,进行了简单的修改,修改后的版本
#-------------------------------------------------------------------------------
# Name: Object bounding box label tool
# Purpose: Label object bboxes for ImageNet Detection data
# Author: Qiushi
# Created: 06/06/2014
#
#-------------------------------------------------------------------------------
from __future__ import division
from Tkinter import *
import tkMessageBox
from PIL import Image, ImageTk
import os
import glob
import random
# colors for the bboxes
COLORS = ['red', 'blue', 'yellow', 'pink', 'cyan', 'green', 'black']
# image sizes for the examples
SIZE = 256, 256
classLabels=['mat', 'door', 'sofa', 'chair', 'table', 'bed', 'ashcan', 'shoe']
class LabelTool():
def __init__(self, master):
# set up the main frame
self.parent = master
self.parent.title("LabelTool")
self.frame = Frame(self.parent)
self.frame.pack(fill=BOTH, expand=1)
self.parent.resizable(width = False, height = False)
# initialize global state
self.imageDir = ''
self.imageList= []
self.egDir = ''
self.egList = []
self.outDir = ''
self.cur = 0
self.total = 0
self.category = 0
self.imagename = ''
self.labelfilename = ''
self.tkimg = None
# initialize mouse state
self.STATE = {}
self.STATE['click'] = 0
self.STATE['x'], self.STATE['y'] = 0, 0
# reference to bbox
self.bboxIdList = []
self.bboxId = None
self.bboxList = []
self.hl = None
self.vl = None
self.currentClass = ''
# ----------------- GUI stuff ---------------------
# dir entry & load
self.label = Label(self.frame, text = "Image Dir:")
self.label.grid(row = 0, column = 0, sticky = E)
self.entry = Entry(self.frame)
self.entry.grid(row = 0, column = 1, sticky = W+E)
self.ldBtn = Button(self.frame, text = "Load", command = self.loadDir)
self.ldBtn.grid(row = 0, column = 2, sticky = W+E)
# main panel for labeling
self.mainPanel = Canvas(self.frame, cursor='tcross')
self.mainPanel.bind("", self.mouseClick)
self.mainPanel.bind("", self.mouseMove)
self.parent.bind("", self.cancelBBox) # press to cancel current bbox
self.parent.bind("s", self.cancelBBox)
self.parent.bind("a", self.prevImage) # press 'a' to go backforward
self.parent.bind("d", self.nextImage) # press 'd' to go forward
self.mainPanel.grid(row = 1, column = 1, rowspan = 4, sticky = W+N)
# showing bbox info & delete bbox
self.lb1 = Label(self.frame, text = 'Bounding boxes:')
self.lb1.grid(row = 1, column = 2, sticky = W+N)
self.listbox = Listbox(self.frame, width = 22, height = 12)
self.listbox.grid(row = 2, column = 2, sticky = N)
self.btnDel = Button(self.frame, text = 'Delete', command = self.delBBox)
self.btnDel.grid(row = 3, column = 2, sticky = W+E+N)
self.btnClear = Button(self.frame, text = 'ClearAll', command = self.clearBBox)
self.btnClear.grid(row = 4, column = 2, sticky = W+E+N)
#select class type
self.classPanel = Frame(self.frame)
self.classPanel.grid(row = 5, column = 1, columnspan = 10, sticky = W+E)
label = Label(self.classPanel, text = 'class:')
label.grid(row = 5, column = 1, sticky = W+N)
self.classbox = Listbox(self.classPanel, width = 4, height = 2)
self.classbox.grid(row = 5,column = 2)
for each in range(len(classLabels)):
function = 'select' + classLabels[each]
print classLabels[each]
btnMat = Button(self.classPanel, text = classLabels[each], command = getattr(self, function))
btnMat.grid(row = 5, column = each + 3)
# control panel for image navigation
self.ctrPanel = Frame(self.frame)
self.ctrPanel.grid(row = 6, column = 1, columnspan = 2, sticky = W+E)
self.prevBtn = Button(self.ctrPanel, text='<< Prev', width = 10, command = self.prevImage)
self.prevBtn.pack(side = LEFT, padx = 5, pady = 3)
self.nextBtn = Button(self.ctrPanel, text='Next >>', width = 10, command = self.nextImage)
self.nextBtn.pack(side = LEFT, padx = 5, pady = 3)
self.progLabel = Label(self.ctrPanel, text = "Progress: / ")
self.progLabel.pack(side = LEFT, padx = 5)
self.tmpLabel = Label(self.ctrPanel, text = "Go to Image No.")
self.tmpLabel.pack(side = LEFT, padx = 5)
self.idxEntry = Entry(self.ctrPanel, width = 5)
self.idxEntry.pack(side = LEFT)
self.goBtn = Button(self.ctrPanel, text = 'Go', command = self.gotoImage)
self.goBtn.pack(side = LEFT)
# example pannel for illustration
self.egPanel = Frame(self.frame, border = 10)
self.egPanel.grid(row = 1, column = 0, rowspan = 5, sticky = N)
self.tmpLabel2 = Label(self.egPanel, text = "Examples:")
self.tmpLabel2.pack(side = TOP, pady = 5)
self.egLabels = []
for i in range(3):
self.egLabels.append(Label(self.egPanel))
self.egLabels[-1].pack(side = TOP)
# display mouse position
self.disp = Label(self.ctrPanel, text='')
self.disp.pack(side = RIGHT)
self.frame.columnconfigure(1, weight = 1)
self.frame.rowconfigure(10, weight = 1)
# for debugging
## self.setImage()
## self.loadDir()
def loadDir(self, dbg = False):
if not dbg:
s = self.entry.get()
self.parent.focus()
self.category = int(s)
else:
s = r'D:\workspace\python\labelGUI'
## if not os.path.isdir(s):
## tkMessageBox.showerror("Error!", message = "The specified dir doesn't exist!")
## return
# get image list
self.imageDir = os.path.join(r'./Images', '%d' %(self.category))
self.imageList = glob.glob(os.path.join(self.imageDir, '*.jpg'))
if len(self.imageList) == 0:
print 'No .JPEG images found in the specified dir!'
return
# set up output dir
self.outDir = os.path.join(r'./Labels', '%d' %(self.category))
if not os.path.exists(self.outDir):
os.mkdir(self.outDir)
labeledPicList = glob.glob(os.path.join(self.outDir, '*.txt'))
for label in labeledPicList:
data = open(label, 'r')
if '0\n' == data.read():
data.close()
continue
data.close()
picture = label.replace('Labels', 'Images').replace('.txt', '.jpg')
if picture in self.imageList:
self.imageList.remove(picture)
# default to the 1st image in the collection
self.cur = 1
self.total = len(self.imageList)
self.loadImage()
print '%d images loaded from %s' %(self.total, s)
def loadImage(self):
# load image
imagepath = self.imageList[self.cur - 1]
self.img = Image.open(imagepath)
self.imgSize = self.img.size
self.tkimg = ImageTk.PhotoImage(self.img)
self.mainPanel.config(width = max(self.tkimg.width(), 400), height = max(self.tkimg.height(), 400))
self.mainPanel.create_image(0, 0, image = self.tkimg, anchor=NW)
self.progLabel.config(text = "%04d/%04d" %(self.cur, self.total))
# load labels
self.clearBBox()
self.imagename = os.path.split(imagepath)[-1].split('.')[0]
labelname = self.imagename + '.txt'
self.labelfilename = os.path.join(self.outDir, labelname)
bbox_cnt = 0
if os.path.exists(self.labelfilename):
with open(self.labelfilename) as f:
for (i, line) in enumerate(f):
if i == 0:
bbox_cnt = int(line.strip())
continue
tmp = [int(t.strip()) for t in line.split()]
## print tmp
self.bboxList.append(tuple(tmp))
tmpId = self.mainPanel.create_rectangle(tmp[0], tmp[1], \
tmp[2], tmp[3], \
width = 2, \
outline = COLORS[(len(self.bboxList)-1) % len(COLORS)])
self.bboxIdList.append(tmpId)
self.listbox.insert(END, '(%d, %d) -> (%d, %d)' %(tmp[0], tmp[1], tmp[2], tmp[3]))
self.listbox.itemconfig(len(self.bboxIdList) - 1, fg = COLORS[(len(self.bboxIdList) - 1) % len(COLORS)])
def saveImage(self):
with open(self.labelfilename, 'w') as f:
f.write('%d\n' %len(self.bboxList))
for bbox in self.bboxList:
f.write(' '.join(map(str, bbox)) + '\n')
print 'Image No. %d saved' %(self.cur)
def mouseClick(self, event):
if self.STATE['click'] == 0:
self.STATE['x'], self.STATE['y'] = event.x, event.y
#self.STATE['x'], self.STATE['y'] = self.imgSize[0], self.imgSize[1]
else:
x1, x2 = min(self.STATE['x'], event.x), max(self.STATE['x'], event.x)
y1, y2 = min(self.STATE['y'], event.y), max(self.STATE['y'], event.y)
if x2 > self.imgSize[0]:
x2 = self.imgSize[0]
if y2 > self.imgSize[1]:
y2 = self.imgSize[1]
self.bboxList.append((self.currentClass, x1, y1, x2, y2))
self.bboxIdList.append(self.bboxId)
self.bboxId = None
self.listbox.insert(END, '(%d, %d) -> (%d, %d)' %(x1, y1, x2, y2))
self.listbox.itemconfig(len(self.bboxIdList) - 1, fg = COLORS[(len(self.bboxIdList) - 1) % len(COLORS)])
self.STATE['click'] = 1 - self.STATE['click']
def mouseMove(self, event):
self.disp.config(text = 'x: %d, y: %d' %(event.x, event.y))
if self.tkimg:
if self.hl:
self.mainPanel.delete(self.hl)
self.hl = self.mainPanel.create_line(0, event.y, self.tkimg.width(), event.y, width = 2)
if self.vl:
self.mainPanel.delete(self.vl)
self.vl = self.mainPanel.create_line(event.x, 0, event.x, self.tkimg.height(), width = 2)
if 1 == self.STATE['click']:
if self.bboxId:
self.mainPanel.delete(self.bboxId)
self.bboxId = self.mainPanel.create_rectangle(self.STATE['x'], self.STATE['y'], \
event.x, event.y, \
width = 2, \
outline = COLORS[len(self.bboxList) % len(COLORS)])
def cancelBBox(self, event):
if 1 == self.STATE['click']:
if self.bboxId:
self.mainPanel.delete(self.bboxId)
self.bboxId = None
self.STATE['click'] = 0
def delBBox(self):
sel = self.listbox.curselection()
if len(sel) != 1 :
return
idx = int(sel[0])
self.mainPanel.delete(self.bboxIdList[idx])
self.bboxIdList.pop(idx)
self.bboxList.pop(idx)
self.listbox.delete(idx)
def clearBBox(self):
for idx in range(len(self.bboxIdList)):
self.mainPanel.delete(self.bboxIdList[idx])
self.listbox.delete(0, len(self.bboxList))
self.bboxIdList = []
self.bboxList = []
def selectmat(self):
self.currentClass = 'mat'
self.classbox.delete(0,END)
self.classbox.insert(0, 'mat')
self.classbox.itemconfig(0,fg = COLORS[0])
def selectdoor(self):
self.currentClass = 'door'
self.classbox.delete(0,END)
self.classbox.insert(0, 'door')
self.classbox.itemconfig(0,fg = COLORS[0])
def selectsofa(self):
self.currentClass = 'sofa'
self.classbox.delete(0,END)
self.classbox.insert(0, 'sofa')
self.classbox.itemconfig(0,fg = COLORS[0])
def selectchair(self):
self.currentClass = 'chair'
self.classbox.delete(0,END)
self.classbox.insert(0, 'chair')
self.classbox.itemconfig(0,fg = COLORS[0])
def selecttable(self):
self.currentClass = 'table'
self.classbox.delete(0,END)
self.classbox.insert(0, 'table')
self.classbox.itemconfig(0,fg = COLORS[0])
def selectbed(self):
self.currentClass = 'bed'
self.classbox.delete(0,END)
self.classbox.insert(0, 'bed')
self.classbox.itemconfig(0,fg = COLORS[0])
def selectashcan(self):
self.currentClass = 'ashcan'
self.classbox.delete(0,END)
self.classbox.insert(0, 'ashcan')
self.classbox.itemconfig(0,fg = COLORS[0])
def selectshoe(self):
self.currentClass = 'shoe'
self.classbox.delete(0,END)
self.classbox.insert(0, 'shoe')
self.classbox.itemconfig(0,fg = COLORS[0])
def prevImage(self, event = None):
self.saveImage()
if self.cur > 1:
self.cur -= 1
self.loadImage()
def nextImage(self, event = None):
self.saveImage()
if self.cur < self.total:
self.cur += 1
self.loadImage()
def gotoImage(self):
idx = int(self.idxEntry.get())
if 1 <= idx and idx <= self.total:
self.saveImage()
self.cur = idx
self.loadImage()
## def setImage(self, imagepath = r'test2.png'):
## self.img = Image.open(imagepath)
## self.tkimg = ImageTk.PhotoImage(self.img)
## self.mainPanel.config(width = self.tkimg.width())
## self.mainPanel.config(height = self.tkimg.height())
## self.mainPanel.create_image(0, 0, image = self.tkimg, anchor=NW)
if __name__ == '__main__':
root = Tk()
tool = LabelTool(root)
root.mainloop()
main.py
使用方法:
(1) 在BBox-Label-Tool/Images目录下创建保存图片的目录, 目录以数字命名(BBox-Label-Tool/Images/1),然后将待标注的图片copy到1这个目录下;
(2) 在BBox-Label-Tool目录下执行命令 python main.py
(3) 在工具界面上, Image Dir 框中输入需要标记的目录名(比如 1), 然后点击load按钮, 工具自动将Images/1目录下的图片加载进来;
需要说明一下, 如果目录中的图片已经标注过,点击load时不会被重新加载进来.
(4) 该工具支持多类别标注, 画bounding boxs框标定之前,需要先选定类别,然后再画框.
(5) 一张图片标注完后, 点击Next>>按钮, 标注下一张图片, 图片label成功后,会在BBox-Label-Tool/Labels对应的目录下生成与图片文件名对应的label文件.
2 数据集的转换
caffe训练使用LMDB格式的数据,ssd框架中提供了voc数据格式转换成LMDB格式的脚本。
所以实践中先将BBox-Label-Tool标注的数据转换成voc数据格式,然后再转换成LMDB格式。
2.1 voc数据格式
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" alt="" name="Image1" width="532" height="72" align="left" border="0" />
(1)Annotations中保存的是xml格式的label信息
VOC2007
1.jpg
My Database
VOC2007
flickr
NULL
NULL
idaneel
320
240
3
0
door
Unspecified
0
0
109
3
199
204
VOC XML内容信息
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