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Updated inceptionV4 to accept different sized images #122

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Merged
merged 4 commits into from
Mar 23, 2019
Merged

Updated inceptionV4 to accept different sized images #122

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51b8e1e
Updated inceptionV4 to accept different sized images
ekagra-ranjan Jan 20, 2019
74d19b2
Update inceptionv4.py
ekagra-ranjan Jan 20, 2019
3ef7043
Update inceptionv4.py
ekagra-ranjan Jan 20, 2019
e07fb68
Update inceptionv4.py
ekagra-ranjan Jan 20, 2019
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8 changes: 5 additions & 3 deletions pretrainedmodels/models/inceptionv4.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
from __future__ import print_function, division, absolute_import
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.model_zoo as model_zoo
import os
import sys
Expand Down Expand Up @@ -294,11 +295,12 @@ def __init__(self, num_classes=1001):
Inception_C(),
Inception_C()
)
self.avg_pool = nn.AvgPool2d(8, count_include_pad=False)
self.last_linear = nn.Linear(1536, num_classes)

def logits(self, features):
x = self.avg_pool(features)
#Allows image of any size to be processed
adaptiveAvgPoolWidth = features.shape[2]
x = F.avg_pool2d(features, kernel_size=adaptiveAvgPoolWidth)
x = x.view(x.size(0), -1)
x = self.last_linear(x)
return x
Expand Down Expand Up @@ -353,4 +355,4 @@ def inceptionv4(num_classes=1000, pretrained='imagenet'):
print('success')

# fail
assert inceptionv4(num_classes=1001, pretrained='imagenet')
assert inceptionv4(num_classes=1001, pretrained='imagenet')