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car-detection-bayes
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cleanup- delete a variable "yolo_layer_count" (#347)

This commit is contained in:
Yonghye Kwon 2019-06-26 18:10:52 +09:00 committed by Glenn Jocher
parent 45540c787f
commit 37fe87ccd9
1 changed files with 3 additions and 4 deletions
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7
models.py
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@ -15,7 +15,7 @@ def create_modules(module_defs):
hyperparams = module_defs.pop(0)
output_filters = [int(hyperparams['channels'])]
module_list = nn.ModuleList()
yolo_layer_count = 0
for i, module_def in enumerate(module_defs):
modules = nn.Sequential()
@ -66,9 +66,8 @@ def create_modules(module_defs):
nc = int(module_def['classes']) # number of classes
img_size = hyperparams['height']
# Define detection layer
yolo_layer = YOLOLayer(anchors, nc, img_size, yolo_layer_count, cfg=hyperparams['cfg'])
yolo_layer = YOLOLayer(anchors, nc, img_size, cfg=hyperparams['cfg'])
modules.add_module('yolo_%d' % i, yolo_layer)
yolo_layer_count += 1
# Register module list and number of output filters
module_list.append(modules)
@ -100,7 +99,7 @@ class Upsample(nn.Module):
class YOLOLayer(nn.Module):
def __init__(self, anchors, nc, img_size, yolo_layer, cfg):
def __init__(self, anchors, nc, img_size, cfg):
super(YOLOLayer, self).__init__()
self.anchors = torch.Tensor(anchors)