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car-detection-bayes
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updates

This commit is contained in:
Glenn Jocher 2019-08-03 14:38:06 +02:00
parent cd1f1eeecc
commit 2d8311a83f
1 changed files with 13 additions and 11 deletions
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24
models.py
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@ -24,25 +24,27 @@ def create_modules(module_defs):
filters = int(module_def['filters'])
kernel_size = int(module_def['size'])
pad = (kernel_size - 1) // 2 if int(module_def['pad']) else 0
modules.add_module('conv_%d' % i, nn.Conv2d(in_channels=output_filters[-1],
out_channels=filters,
kernel_size=kernel_size,
stride=int(module_def['stride']),
padding=pad,
bias=not bn))
modules.add_module('Conv2d', nn.Conv2d(in_channels=output_filters[-1],
out_channels=filters,
kernel_size=kernel_size,
stride=int(module_def['stride']),
padding=pad,
bias=not bn))
if bn:
modules.add_module('batch_norm_%d' % i, nn.BatchNorm2d(filters))
modules.add_module('BatchNorm2d', nn.BatchNorm2d(filters))
if module_def['activation'] == 'leaky':
# modules.add_module('leaky_%d' % i, nn.PReLU(num_parameters=filters, init=0.10))
modules.add_module('leaky_%d' % i, nn.LeakyReLU(0.1, inplace=True))
# modules.add_module('activation', nn.PReLU(num_parameters=filters, init=0.1))
modules.add_module('activation', nn.LeakyReLU(0.1, inplace=True))
elif module_def['type'] == 'maxpool':
kernel_size = int(module_def['size'])
stride = int(module_def['stride'])
maxpool = nn.MaxPool2d(kernel_size=kernel_size, stride=stride, padding=int((kernel_size - 1) // 2))
if kernel_size == 2 and stride == 1: # yolov3-tiny
modules.add_module('_debug_padding_%d' % i, nn.ZeroPad2d((0, 1, 0, 1)))
modules.add_module('maxpool_%d' % i, maxpool)
modules.add_module('ZeroPad2d', nn.ZeroPad2d((0, 1, 0, 1)))
modules.add_module('MaxPool2d', maxpool)
else:
modules = maxpool
elif module_def['type'] == 'upsample':
modules = nn.Upsample(scale_factor=int(module_def['stride']), mode='nearest')