【文件属性】：
文件名称：基于PaddlePaddle实现的密度估计模型CrowdNet预测模型
文件大小：52.22MB
文件格式：ZIP
更新时间：2021-01-05 20:11:14
paddlepaddle 人工智能 深度学习 人流密度
基于PaddlePaddle实现的密度估计模型CrowdNet预测模型
【文件预览】：
infer_model
----batch_norm_15.w_1(120B)
----batch_norm_1.b_0(280B)
----batch_norm_9.w_2(2KB)
----batch_norm_4.b_0(1KB)
----batch_norm_2.w_1(537B)
----conv2d_11.w_0(9MB)
----batch_norm_3.w_2(537B)
----batch_norm_10.b_0(2KB)
----conv2d_8.w_0(9MB)
----batch_norm_6.w_0(1KB)
----batch_norm_11.w_2(2KB)
----batch_norm_5.w_1(1KB)
----batch_norm_8.w_2(2KB)
----batch_norm_5.w_0(1KB)
----batch_norm_13.w_2(120B)
----conv2d_9.w_0(9MB)
----conv2d_13.w_0(7KB)
----conv2d_2.w_0(288KB)
----batch_norm_5.b_0(1KB)
----batch_norm_7.w_2(2KB)
----batch_norm_12.b_0(2KB)
----batch_norm_8.b_0(2KB)
----batch_norm_2.b_0(537B)
----batch_norm_4.w_2(1KB)
----batch_norm_4.w_1(1KB)
----batch_norm_2.w_2(537B)
----batch_norm_2.w_0(537B)
----batch_norm_11.w_1(2KB)
----batch_norm_12.w_1(2KB)
----batch_norm_8.w_0(2KB)
----batch_norm_13.w_0(120B)
----batch_norm_11.b_0(2KB)
----conv2d_5.w_0(2.25MB)
----batch_norm_15.w_0(120B)
----conv2d_12.w_0(9MB)
----batch_norm_14.w_1(120B)
----batch_norm_10.w_2(2KB)
----batch_norm_7.w_0(2KB)
----conv2d_7.w_0(4.5MB)
----conv2d_1.w_0(144KB)
----batch_norm_9.b_0(2KB)
----batch_norm_12.w_2(2KB)
----conv2d_16.b_0(28B)
----conv2d_4.w_0(1.13MB)
----batch_norm_10.w_1(2KB)
----batch_norm_7.b_0(2KB)
----batch_norm_0.w_0(280B)
----conv2d_6.w_0(2.25MB)
----batch_norm_0.w_1(280B)
----batch_norm_6.w_2(1KB)
----batch_norm_7.w_1(2KB)
----batch_norm_9.w_1(2KB)
----conv2d_16.w_0(2KB)
----batch_norm_6.b_0(1KB)
----conv2d_3.w_0(576KB)
----batch_norm_5.w_2(1KB)
----batch_norm_13.b_0(120B)
----batch_norm_13.w_1(120B)
----conv2d_10.w_0(9MB)
----batch_norm_6.w_1(1KB)
----batch_norm_8.w_1(2KB)
----batch_norm_15.b_0(120B)
----batch_norm_14.w_0(120B)
----batch_norm_9.w_0(2KB)
----batch_norm_14.b_0(120B)
----batch_norm_11.w_0(2KB)
----batch_norm_12.w_0(2KB)
----batch_norm_3.w_1(537B)
----batch_norm_3.b_0(537B)
----batch_norm_0.b_0(280B)
----batch_norm_1.w_2(280B)
----batch_norm_0.w_2(280B)
----conv2d_0.w_0(7KB)
----batch_norm_15.w_2(120B)
----batch_norm_1.w_0(280B)
----__model__(102KB)
----batch_norm_14.w_2(120B)
----batch_norm_1.w_1(280B)
----conv2d_14.w_0(56KB)
----conv2d_15.w_0(56KB)
----batch_norm_10.w_0(2KB)
----batch_norm_3.w_0(537B)
----batch_norm_4.w_0(1KB)