【目标检测】VOC mAP python实现 本篇着重解析AP计算python代码, 主要参考来源为retinanet工程。AP概念理解可参考上篇【目标检测】VOC mAP。 Imports import numpy as np bbox 排序 bbox判断为FP/FP的标准有2个:bbox属于某类别得分、bbox与gt的iou,在满足iou阈值的条件下,bbox得分高优先标记为TP。 例如:对于某...
比较同一图中两次运行的bbox mAP。 python tools/analyze_logs.py plot_curve log1.json log2.json --keys bbox_mAP --legend run1 run2 下面实操一下 !python tools/analysis_tools/analyze_logs.py plot_curve \ work_dirs/faster-rcnn_r50_fpn_2x_voc/20230217_185934_train/vis_data/scalars.json \...
以横坐标为召回率，纵坐标为准确率，会画出一条曲线，该曲线与横轴纵轴的面积即为ap值，多个ap值的平均即为mAP。
计算每个类别对应的AP,mAP是所有类别AP的平均值defvoc_eval(detpath,annopath,imagesetfile,classname,cachedir,ovthresh=0.5,use_07_metric=False):"""rec, prec, ap = voc_eval(detpath, annopath, imagesetfile, classname, [ovthresh], [use_07_metric])...
if __name__ == "__main__": # 路径更换为保存输出的eval路径 # mAP曲线 files=list(Path("./outputs/eval").glob("*.pth")) plot_precision_recall(files) plt.show() # 路径更换为保存输出的路径 # 损失曲线 plot_logs(Path("./output")) plt.show() 四、推理 训练完毕后我们会得到一个che...
I found him in the food area of department. 四. 名词复数的变化和发音:名词复数:名词是人、动物、事物、地方、状态、品质或动作的名称。它可以表示具体的东西,也可以表示抽象的东西。一个名词如果表示一个或一样东西,它取单数形式,如pen,dog,tree,fact,church,kiss.如果表示两个或更多的这类东西,则...
annotation{"id":int,#bounding box标识,相当于bounding box身份证"image_id":int,#图片标识,和image中的"id"对应"category_id":int,#类别id"segmentation": RLEor[polygon],#描述分割信息,iscrowd=0,则segmentation是polygon格式;iscrowd=1,则segmentation就是RLE格式"area":float,#标注框面积"bbox": [x,y,...
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(map(int,a[1:-1].split(','))) a=annotation['bbox'] 使用该方式转成list annotation['bbox'] = list(map(float, self.getbbox(points))) annotation['area'] = annotation['bbox'][2] * annotation['bbox'][3] # annotation['category_id'] = self.getcatid(label) annotation['category_...