json文件格式
这是yolov4模型跑出来的检测结果result.json
下面是截取的一张图的检测结果
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{ "frame_id" : 1 , #图片的序号 "filename" : "/media/wuzhou/gap/rgb-piglet/test/00000000.jpg" , #图片的路径 "objects" : [ #该图中所有的目标:目标类别、目标名称、归一化的框的坐标(xywh格式)、置信度 { "class_id" : 0 , "name" : "pp" , "relative_coordinates" :{ "center_x" : 0.750913 , "center_y" : 0.402691 , "width" : 0.038380 , "height" : 0.193304 }, "confidence" : 0.995435 }, { "class_id" : 0 , "name" : "pp" , "relative_coordinates" :{ "center_x" : 0.764775 , "center_y" : 0.199255 , "width" : 0.049979 , "height" : 0.130169 }, "confidence" : 0.994495 }, { "class_id" : 0 , "name" : "pp" , "relative_coordinates" :{ "center_x" : 0.560050 , "center_y" : 0.482614 , "width" : 0.036331 , "height" : 0.166377 }, "confidence" : 0.994460 }, { "class_id" : 0 , "name" : "pp" , "relative_coordinates" :{ "center_x" : 0.710756 , "center_y" : 0.406446 , "width" : 0.041782 , "height" : 0.191297 }, "confidence" : 0.993540 }, { "class_id" : 0 , "name" : "pp" , "relative_coordinates" :{ "center_x" : 0.638335 , "center_y" : 0.238725 , "width" : 0.107689 , "height" : 0.092282 }, "confidence" : 0.992926 }, { "class_id" : 0 , "name" : "pp" , "relative_coordinates" :{ "center_x" : 0.780232 , "center_y" : 0.448454 , "width" : 0.041550 , "height" : 0.179540 }, "confidence" : 0.990020 }, { "class_id" : 0 , "name" : "pp" , "relative_coordinates" :{ "center_x" : 0.563412 , "center_y" : 0.350035 , "width" : 0.103184 , "height" : 0.059460 }, "confidence" : 0.979756 }, { "class_id" : 0 , "name" : "pp" , "relative_coordinates" :{ "center_x" : 0.522591 , "center_y" : 0.195170 , "width" : 0.083014 , "height" : 0.071478 }, "confidence" : 0.970642 }, { "class_id" : 0 , "name" : "pp" , "relative_coordinates" :{ "center_x" : 0.658721 , "center_y" : 0.154640 , "width" : 0.103852 , "height" : 0.055686 }, "confidence" : 0.967082 }, { "class_id" : 0 , "name" : "pp" , "relative_coordinates" :{ "center_x" : 0.537660 , "center_y" : 0.256810 , "width" : 0.101619 , "height" : 0.095211 }, "confidence" : 0.918135 }, { "class_id" : 0 , "name" : "pp" , "relative_coordinates" :{ "center_x" : 0.528618 , "center_y" : 0.481005 , "width" : 0.033226 , "height" : 0.177723 }, "confidence" : 0.310291 } ] }, |
完整代码
代码需要指定图片的路径,例如 file_dir = "h:/rgb-piglet/five/test"
注意:result.json文件要跟图片放一起
代码生成的xml与图片在同一个路径下
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import json import time import os from pil import image import cv2 import numpy as np '''人为构造xml文件的格式''' out0 = '''<annotation> <folder>%(folder)s</folder> <filename>%(name)s</filename> <path>%(path)s</path> <source> <database>none</database> </source> <size> <width>%(width)d</width> <height>%(height)d</height> <depth>3</depth> </size> <segmented>0</segmented> ''' out1 = ''' <object> <name>%(class)s</name> <pose>unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>%(xmin)d</xmin> <ymin>%(ymin)d</ymin> <xmax>%(xmax)d</xmax> <ymax>%(ymax)d</ymax> </bndbox> </object> ''' out2 = '''</annotation> ''' def read_json(json_dir): with open (json_dir, "r" ) as f: data = json.load(f) print ( type (data), len (data), type (data[ 0 ]),data[ 0 ][ 'frame_id' ]) return data '''txt转xml函数''' def translate(fdir,lists): source = {} label = {} data = read_json(fdir + "/result.json" ) k = 0 for jpg in lists: print (jpg) if jpg[ - 4 :] = = '.jpg' : image = cv2.imread(jpg) #路径不能有中文 h,w,_ = image.shape #图片大小 fxml = jpg.replace( '.jpg' , '.xml' ) fxml = open (fxml, 'w' ); imgfile = jpg.split( '/' )[ - 1 ] source[ 'name' ] = imgfile source[ 'path' ] = jpg source[ 'folder' ] = os.path.basename(fdir) source[ 'width' ] = w source[ 'height' ] = h fxml.write(out0 % source) for obj in data[k][ "objects" ]: label[ 'class' ] = obj[ "class_id" ] box = obj[ "relative_coordinates" ] '''把txt上的数字(归一化)转成xml上框的坐标''' xmin = float (box[ "center_x" ] - 0.5 * box[ "width" ]) * w ymin = float (box[ "center_y" ] - 0.5 * box[ "height" ]) * h xmax = float (xmin + box[ "width" ] * w) ymax = float (ymin + box[ "height" ] * h) label[ 'xmin' ] = xmin label[ 'ymin' ] = ymin label[ 'xmax' ] = xmax label[ 'ymax' ] = ymax fxml.write(out1 % label) k = k + 1 fxml.write(out2) if __name__ = = '__main__' : file_dir = "h:/rgb-piglet/five/test" lists = [] for i in os.listdir(file_dir): if i[ - 3 :] = = 'jpg' : lists.append(file_dir + '/' + i) #print(lists) translate(file_dir,lists) print ( '---------------done!!!--------------' ) |
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原文链接:https://blog.csdn.net/weixin_42899627/article/details/118373040