add bbox model

mmdet/bbox/mmdet_anime-face_yolov3.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:38208bb6b8a4633193feba532e96ed9a7942129af8fe948b27bfcf8e9a30a12e
+size 246462357

mmdet/bbox/mmdet_anime-face_yolov3.py

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+model = dict(type='YOLOV3',
+             backbone=dict(type='Darknet', depth=53, out_indices=(3, 4, 5)),
+             neck=dict(type='YOLOV3Neck',
+                       num_scales=3,
+                       in_channels=[1024, 512, 256],
+                       out_channels=[512, 256, 128]),
+             bbox_head=dict(type='YOLOV3Head',
+                            num_classes=1,
+                            in_channels=[512, 256, 128],
+                            out_channels=[1024, 512, 256],
+                            anchor_generator=dict(type='YOLOAnchorGenerator',
+                                                  base_sizes=[[(116, 90),
+                                                               (156, 198),
+                                                               (373, 326)],
+                                                              [(30, 61),
+                                                               (62, 45),
+                                                               (59, 119)],
+                                                              [(10, 13),
+                                                               (16, 30),
+                                                               (33, 23)]],
+                                                  strides=[32, 16, 8]),
+                            bbox_coder=dict(type='YOLOBBoxCoder'),
+                            featmap_strides=[32, 16, 8]),
+             test_cfg=dict(nms_pre=1000,
+                           min_bbox_size=0,
+                           score_thr=0.05,
+                           conf_thr=0.005,
+                           nms=dict(type='nms', iou_threshold=0.45),
+                           max_per_img=100))
+test_pipeline = [
+    dict(type='LoadImageFromFile'),
+    dict(type='MultiScaleFlipAug',
+         img_scale=(608, 608),
+         flip=False,
+         transforms=[
+             dict(type='Resize', keep_ratio=True),
+             dict(type='RandomFlip'),
+             dict(type='Normalize',
+                  mean=[0, 0, 0],
+                  std=[255.0, 255.0, 255.0],
+                  to_rgb=True),
+             dict(type='Pad', size_divisor=32),
+             dict(type='ImageToTensor', keys=['img']),
+             dict(type='Collect', keys=['img'])
+         ])
+]
+data = dict(test=dict(pipeline=test_pipeline))