Openpose的整体网络结构采用VGG网络作为骨架进行预训练处理。该网络分为两个部分,两部分能同时对提取到的关键点进行预测置信图、编码相邻关键点间的关联向量场并分别回归S和L。 图中上半部分即第一分支用以预测置信图,下半部分即第二分支用以预测关联向量场。每回归一次S和L即为完成一轮迭代预测,通过连续的t∈(1...
with tf.variable_scope("MODEL"): with tf.variable_scope("base"): # 原文中选择使用Vgg19前10层输出feature map,在此使用相同的网络结构。 x = convolutional(input_data, 64, (3, 3), (1, 1), trainable=self.trainable, name="conv1_1") ...
OpenPose TF版backbone使用的VGG16还是VGG19 flyfish 如何分辨backbone使用的VGG16还是VGG19? 看第二个最大池化层和第三个最大池化层之间的conv3-256 如果conv3-256的个数是3,则是VGG-16 如果conv3-256的个数是4,则是VGG-19 .max_pool(2, 2, 2, 2, name='pool2_stage1', padding='VALID') .conv...
print('--> config model') # 配置模型输入,用于NPU对数据输入的预处理 # channel_mean_value='0 0 0 255',那么模型推理时,将会对RGB数据做如下转换 # (R - 0)/255, (G - 0)/255, (B - 0)/255。推理时,RKNN模型会自动做均值和归一化处理 # reorder_channel=’0 1 2’用于指定是否调整RBG...
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields论文阅读笔记-2 收到针对原论文2.1Simultaneous Detection and Association部分介绍的网络结构部分作一简要笔记 网络结构如下图所示 输入原始彩色人体图片 原始图片经过VGG-19网络的前10层(微调)进行处理,得到特征图F 网络...Real...
(flappbird) luo@luo-ThinkPad-W540:OpenPose$ git clone https://www.github.com/ildoonet/tf-openpose Cloning into 'tf-openpose'... remote: Counting objects: 1238, done. remote: Total 1238 (delta 0), reused 0 (delta 0), pack-reused 1238 ...
Download the openpose VGG tf-model with command line./download.sh(/Pose/graph_models/VGG_origin) or forkhere, and place it under the corresponding folder; python main.py, it willstart the webcam. (you can choose to test video with commandpython main.py --video=test.mp4, however I just...
$ git clone https://www.github.com/ildoonet/tf-openpose $cdtf-openpose $ pip3 install -r requirements.txt Models cmu the model based VGG pretrained network which described in the original paper. I converted Weights in Caffe format to use in tensorflow. ...
vggtiny: VGG tiny version, faster mobilenet: MobileNet version, faster Train your model by running: python3 train.py Additional steps for training on Windows There are a few extra steps to follow with Windows. Please make sure you have the following prerequisites installed: ...
2.1 Openpose网络Openpose的整体网络结构采用VGG网络作为骨架进行预训练处理。该网络分为两个部分,两部分能同时对提取到的关键点进行预测置信图、编码相邻关键点间的关联向量场并分别回归S和L。图中上半部分即第一分支用以预测置信图,下半部分即第二分支用以预测关联向量场。每回归一次S和L即为完成一轮迭代预测,...