USE_MMDET = True
_base_ = [
    '../_base_/models/faster_rcnn_r50_fpn.py',
    '../_base_/datasets/mot_challenge_det.py', '../_base_/default_runtime.py'
]
model = dict(
    detector=dict(
        rpn_head=dict(bbox_coder=dict(clip_border=False)),
        roi_head=dict(
            bbox_head=dict(bbox_coder=dict(
                clip_border=False), num_classes=1))))
# learning policy
lr_config = dict(
    policy='step',
    warmup='linear',
    warmup_iters=100,
    warmup_ratio=1.0 / 100,
    step=[3])
# runtime settings
total_epochs = 4
load_from = ('http://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/'
             'faster_rcnn_r50_fpn_2x_coco/faster_rcnn_r50_fpn_2x_coco_'
             'bbox_mAP-0.384_20200504_210434-a5d8aa15.pth')

USE_MMDET = True
_base_ = [
    '../_base_/models/faster_rcnn_r50_fpn.py',
    '../_base_/datasets/mot_challenge_det.py', '../_base_/default_runtime.py'
]
model = dict(
    detector=dict(
        rpn_head=dict(bbox_coder=dict(clip_border=False)),
        roi_head=dict(
            bbox_head=dict(bbox_coder=dict(
                clip_border=False), num_classes=1))))
# learning policy
lr_config = dict(
    policy='step',
    warmup='linear',
    warmup_iters=100,
    warmup_ratio=1.0 / 100,
    step=[3])
# runtime settings
total_epochs = 4
load_from = ('http://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/'
             'faster_rcnn_r50_fpn_2x_coco/faster_rcnn_r50_fpn_2x_coco_'
             'bbox_mAP-0.384_20200504_210434-a5d8aa15.pth')

# learning policy # runtime settings