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update depthwise for YOLOX base config so we can train using depth wise Convolution Neural Network #1529

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update depthwise for YOLOX base config so we can train using depth wise Convolution Neural Network #1529

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8 changes: 6 additions & 2 deletions yolox/exp/yolox_base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -25,6 +25,10 @@ def __init__(self):
self.width = 1.00
# activation name. For example, if using "relu", then "silu" will be replaced to "relu".
self.act = "silu"
# activate the depthwise convolution at backbone YOLOX
self.depthwise_backbone = True
# activate the depthwise convolution at head YOLOX
self.depthwise_head = True

# ---------------- dataloader config ---------------- #
# set worker to 4 for shorter dataloader init time
Expand Down Expand Up @@ -118,8 +122,8 @@ def init_yolo(M):

if getattr(self, "model", None) is None:
in_channels = [256, 512, 1024]
backbone = YOLOPAFPN(self.depth, self.width, in_channels=in_channels, act=self.act)
head = YOLOXHead(self.num_classes, self.width, in_channels=in_channels, act=self.act)
backbone = YOLOPAFPN(self.depth, self.width, in_channels=in_channels, act=self.act, depthwise=self.depthwise_backbone)
head = YOLOXHead(self.num_classes, self.width, in_channels=in_channels, act=self.act, depthwise=self.depthwise_head)
self.model = YOLOX(backbone, head)

self.model.apply(init_yolo)
Expand Down