一、修改pascalvoc_2007.py 生成自己的tfrecord文件后,修改训练数据shape——打开datasets文件夹中的pascalvoc_2007.py文件,根据自己训练数据修改:NUM_CLASSES = 类别数(不包含背景);二、修改ssd_vgg_300.py 根据
*ssd-mobilenet-v1-fpn, using mobilenet-v1 and FPN as feature extractor with weight-shared box predcitors. *ssd-resnet50-fpn, using resnet50 and FPN as feature extractor with weight-shared box predcitors. ssd-vgg16, reference from the paper. Using vgg16 as backbone and the same bbox ...
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SSD (Single Shot MultiBox Detector) 贡献 与之前检测器的主要区别在于,SSD在网络的不同层检测不同尺度的对象,而后者仅在其顶层进行检测。 SSD 是使用 VGG19 网络作为特征提取器(和 Faster R-CNN 中使用的 CNN 一样)的单次检测器。我们在该网络之后添加自定义卷积层(蓝色),并使用卷积核(绿色)执行预测。 同...
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I am getting a running time of 180-200 ms on object_detection_sample_ssd.exe on openvino in windows with API version 1.1 and build version win_20180511 while running in CPU. Is this running time correct, as i went through a number of articles online where the running time of ssd 300 ...
使用get_info_ssd.py脚本,输入已经得到的二进制文件,输出生成二进制数据集的info文件。运行get_info_ssd.py脚本。 python3.7 get_info_ssd.py bin ./prep_bin ./vgg16_ssd_bin.info 300 300 第一个参数为生成的数据集文件格式,第二个参数为预处理后的数据文件路径,第三个参数为生成的数据集文件保存的...
This paper considers the state of art real-time detection network single-shot multi-box detector (SSD) for multi-targets detection. It is built on top of a base network VGG16 that ends with some convolution layers. Its base network VGG16, designed for 1000 categories in Imagenet dataset, ...
when I finetune from vgg_16.ckpt, error with :Tensor name "ssd_300_vgg/conv2/conv2_2/biases" not found in checkpoint files ./vggmodel/vgg_16.ckpt. how to solve this problem .thanks