From 63d8126a674b8c3f0adf6ebc978832f548f757ca Mon Sep 17 00:00:00 2001
From: natanielruiz <nataniel777@hotmail.com>
Date: 星期六, 23 九月 2017 02:43:56 +0800
Subject: [PATCH] next
---
code/hopenet.py | 40 ++++++++++++++++++++++++++++++++++++++++
1 files changed, 40 insertions(+), 0 deletions(-)
diff --git a/code/hopenet.py b/code/hopenet.py
index 63a24cd..7b5f764 100644
--- a/code/hopenet.py
+++ b/code/hopenet.py
@@ -184,3 +184,43 @@
x = self.fc_angles(x)
return x
+
+class AlexNet(nn.Module):
+
+ def __init__(self, num_bins):
+ super(AlexNet, self).__init__()
+ self.features = nn.Sequential(
+ nn.Conv2d(3, 64, kernel_size=11, stride=4, padding=2),
+ nn.ReLU(inplace=True),
+ nn.MaxPool2d(kernel_size=3, stride=2),
+ nn.Conv2d(64, 192, kernel_size=5, padding=2),
+ nn.ReLU(inplace=True),
+ nn.MaxPool2d(kernel_size=3, stride=2),
+ nn.Conv2d(192, 384, kernel_size=3, padding=1),
+ nn.ReLU(inplace=True),
+ nn.Conv2d(384, 256, kernel_size=3, padding=1),
+ nn.ReLU(inplace=True),
+ nn.Conv2d(256, 256, kernel_size=3, padding=1),
+ nn.ReLU(inplace=True),
+ nn.MaxPool2d(kernel_size=3, stride=2),
+ )
+ self.classifier = nn.Sequential(
+ nn.Dropout(),
+ nn.Linear(256 * 6 * 6, 4096),
+ nn.ReLU(inplace=True),
+ nn.Dropout(),
+ nn.Linear(4096, 4096),
+ nn.ReLU(inplace=True),
+ )
+ self.fc_yaw = nn.Linear(4096, num_bins)
+ self.fc_pitch = nn.Linear(4096, num_bins)
+ self.fc_roll = nn.Linear(4096, num_bins)
+
+ def forward(self, x):
+ x = self.features(x)
+ x = x.view(x.size(0), 256 * 6 * 6)
+ x = self.classifier(x)
+ yaw = self.fc_yaw(x)
+ pitch = self.fc_pitch(x)
+ roll = self.fc_roll(x)
+ return yaw, pitch, roll
--
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