yolov5训练自定义数据
step1:参考文献及代码
- 博客 https://blog.csdn.net/weixin_41868104/article/details/107339535
- github代码 https://github.com/DataXujing/YOLO-v5
- 官方代码 https://github.com/ultralytics/yolov5
- 官方教程 https://github.com/ultralytics/yolov5/wiki/Train-Custom-Data
step2:准备数据集
- --yolov5需要的数据集格式为txt格式的(即一个图片对应一个txt文件)
- 参考文献1利用其将xml格式的代码转换成txt格式的代码
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训练
- 利用参考文献而将参考文献1中的labels中的txt数据集和images中的图片放入到参考文献二中
附录:
用于抽取训练集和测试集
- 抽取图片:抽取.py
import os
import random
import shutil
# source_file:源路径, target_ir:目标路径
def cover_files(source_dir, target_ir):
for file in os.listdir(source_dir):
source_file = os.path.join(source_dir, file)
if os.path.isfile(source_file):
shutil.copy(source_file, target_ir)
def ensure_dir_exists(dir_name):
"""Makes sure the folder exists on disk.
Args:
dir_name: Path string to the folder we want to create.
"""
if not os.path.exists(dir_name):
os.makedirs(dir_name)
def moveFile(file_dir, save_dir):
ensure_dir_exists(save_dir)
path_dir = os.listdir(file_dir)
filenumber = len(path_dir)
rate = 0.1 # 自定义抽取图片的比例，比方说100张抽10张，那就是0.1
picknumber = int(filenumber * rate) # 按照rate比例从文件夹中取一定数量图片
sample = random.sample(path_dir, picknumber) # 随机选取picknumber数量的样本图片
# print (sample)
for name in sample:
shutil.move(file_dir + name, save_dir + name)
#切记win10路径D:你的路径\，最后一定要有\才能进入目标文件
if __name__ == '__main__':
file_dir = 'G:\ECANet-master\train\0\' # 源图片文件夹路径
save_dir = 'G:\ECANet-master\train\00\' # 移动到目标文件夹路径
moveFile(file_dir, save_dir)
json2xml:(json格式转换成xml格式)
- 将下面三个文件放入到json_to_xml文件夹下
- create_xml_anno.py
# -*- coding: utf-8 -*-
from xml.dom.minidom import Document
class CreateAnno:
def __init__(self,):
self.doc = Document() # 创建DOM文档对象
self.anno = self.doc.createElement('annotation') # 创建根元素
self.doc.appendChild(self.anno)
self.add_folder()
self.add_path()
self.add_source()
self.add_segmented()
# self.add_filename()
# self.add_pic_size(width_text_str=str(width), height_text_str=str(height), depth_text_str=str(depth))
def add_folder(self, floder_text_str='JPEGImages'):
floder = self.doc.createElement('floder') ##建立自己的开头
floder_text = self.doc.createTextNode(floder_text_str) ##建立自己的文本信息
floder.appendChild(floder_text) ##自己的内容
self.anno.appendChild(floder)
def add_filename(self, filename_text_str='00000.jpg'):
filename = self.doc.createElement('filename')
filename_text = self.doc.createTextNode(filename_text_str)
filename.appendChild(filename_text)
self.anno.appendChild(filename)
def add_path(self, path_text_str="None"):
path = self.doc.createElement('path')
path_text = self.doc.createTextNode(path_text_str)
path.appendChild(path_text)
self.anno.appendChild(path)
def add_source(self, database_text_str="Unknow"):
source = self.doc.createElement('source')
database = self.doc.createElement('database')
database_text = self.doc.createTextNode(database_text_str) # 元素内容写入
database.appendChild(database_text)
source.appendChild(database)
self.anno.appendChild(source)
def add_pic_size(self, width_text_str="0", height_text_str="0", depth_text_str="3"):
size = self.doc.createElement('size')
width = self.doc.createElement('width')
width_text = self.doc.createTextNode(width_text_str) # 元素内容写入
width.appendChild(width_text)
size.appendChild(width)
height = self.doc.createElement('height')
height_text = self.doc.createTextNode(height_text_str)
height.appendChild(height_text)
size.appendChild(height)
depth = self.doc.createElement('depth')
depth_text = self.doc.createTextNode(depth_text_str)
depth.appendChild(depth_text)
size.appendChild(depth)
self.anno.appendChild(size)
def add_segmented(self, segmented_text_str="0"):
segmented = self.doc.createElement('segmented')
segmented_text = self.doc.createTextNode(segmented_text_str)
segmented.appendChild(segmented_text)
self.anno.appendChild(segmented)
def add_object(self,
name_text_str="None",
xmin_text_str="0",
ymin_text_str="0",
xmax_text_str="0",
ymax_text_str="0",
pose_text_str="Unspecified",
truncated_text_str="0",
difficult_text_str="0"):
object = self.doc.createElement('object')
name = self.doc.createElement('name')
name_text = self.doc.createTextNode(name_text_str)
name.appendChild(name_text)
object.appendChild(name)
pose = self.doc.createElement('pose')
pose_text = self.doc.createTextNode(pose_text_str)
pose.appendChild(pose_text)
object.appendChild(pose)
truncated = self.doc.createElement('truncated')
truncated_text = self.doc.createTextNode(truncated_text_str)
truncated.appendChild(truncated_text)
object.appendChild(truncated)
difficult = self.doc.createElement('difficult')
difficult_text = self.doc.createTextNode(difficult_text_str)
difficult.appendChild(difficult_text)
object.appendChild(difficult)
bndbox = self.doc.createElement('bndbox')
xmin = self.doc.createElement('xmin')
xmin_text = self.doc.createTextNode(xmin_text_str)
xmin.appendChild(xmin_text)
bndbox.appendChild(xmin)
ymin = self.doc.createElement('ymin')
ymin_text = self.doc.createTextNode(ymin_text_str)
ymin.appendChild(ymin_text)
bndbox.appendChild(ymin)
xmax = self.doc.createElement('xmax')
xmax_text = self.doc.createTextNode(xmax_text_str)
xmax.appendChild(xmax_text)
bndbox.appendChild(xmax)
ymax = self.doc.createElement('ymax')
ymax_text = self.doc.createTextNode(ymax_text_str)
ymax.appendChild(ymax_text)
bndbox.appendChild(ymax)
object.appendChild(bndbox)
self.anno.appendChild(object)
def get_anno(self):
return self.anno
def get_doc(self):
return self.doc
def save_doc(self, save_path):
with open(save_path, "w") as f:
self.doc.writexml(f, indent=' ', newl='
', addindent=' ', encoding='utf-8')
- main.py
import os
from tqdm import tqdm
from read_json import ReadAnno
from create_xml_anno import CreateAnno
def json_transform_xml(json_path, xml_path, process_mode="polygon"):
json_path = json_path
json_anno = ReadAnno(json_path, process_mode=process_mode)
width, height = json_anno.get_width_height()
filename = json_anno.get_filename()
coordis = json_anno.get_coordis()
xml_anno = CreateAnno()
xml_anno.add_filename(filename)
xml_anno.add_pic_size(width_text_str=str(width), height_text_str=str(height), depth_text_str=str(3))
for xmin,ymin,xmax,ymax,label in coordis:
xml_anno.add_object(name_text_str=str(label),
xmin_text_str=str(int(xmin)),
ymin_text_str=str(int(ymin)),
xmax_text_str=str(int(xmax)),
ymax_text_str=str(int(ymax)))
xml_anno.save_doc(xml_path)
if __name__ == "__main__":
root_json_dir = r"/home/aibc/ouyang/temp_dataset/jjson"
root_save_xml_dir = r"/home/aibc/ouyang/temp_dataset/xml"
for json_filename in tqdm(os.listdir(root_json_dir)):
json_path = os.path.join(root_json_dir, json_filename)
save_xml_path = os.path.join(root_save_xml_dir, json_filename.replace(".json", ".xml"))
json_transform_xml(json_path, save_xml_path, process_mode="polygon")
- read_json.py
# -*- coding: utf-8 -*-
import numpy as np
import json
class ReadAnno:
def __init__(self, json_path, process_mode="rectangle"):
self.json_data = json.load(open(json_path))
self.filename = self.json_data['imagePath']
self.width = self.json_data['imageWidth']
self.height = self.json_data['imageHeight']
self.coordis = []
assert process_mode in ["rectangle", "polygon"]
if process_mode == "rectangle":
self.process_polygon_shapes()
elif process_mode == "polygon":
self.process_polygon_shapes()
def process_rectangle_shapes(self):
for single_shape in self.json_data['shapes']:
bbox_class = single_shape['label']
xmin = single_shape['points'][0][0]
ymin = single_shape['points'][0][1]
xmax = single_shape['points'][1][0]
ymax = single_shape['points'][1][1]
self.coordis.append([xmin,ymin,xmax,ymax,bbox_class])
def process_polygon_shapes(self):
for single_shape in self.json_data['shapes']:
bbox_class = single_shape['label']
temp_points = []
for couple_point in single_shape['points']:
x = float(couple_point[0])
y = float(couple_point[1])
temp_points.append([x,y])
temp_points = np.array(temp_points)
xmin, ymin = temp_points.min(axis=0)
xmax, ymax = temp_points.max(axis=0)
self.coordis.append([xmin,ymin,xmax,ymax,bbox_class])
def get_width_height(self):
return self.width, self.height
def get_filename(self):
return self.filename
def get_coordis(self):
return self.coordis