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#!/usr/bin/env python3
# -*- encoding: utf-8 -*-
# Copyright (c) Megvii Inc. All rights reserved.
import megengine.module as M
from .yolo_head import YOLOXHead
from .yolo_pafpn import YOLOPAFPN
class YOLOX(M.Module):
"""
YOLOX model module. The module list is defined by create_yolov3_modules function.
The network returns loss values from three YOLO layers during training
and detection results during test.
"""
def __init__(self, backbone=None, head=None):
super().__init__()
if backbone is None:
backbone = YOLOPAFPN()
if head is None:
head = YOLOXHead(80)
self.backbone = backbone
self.head = head
def forward(self, x):
# fpn output content features of [dark3, dark4, dark5]
fpn_outs = self.backbone(x)
assert not self.training
outputs = self.head(fpn_outs)
return outputs
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