# Mayaku eval config matching Detectron2's faster_rcnn_X_101_32x8d_FPN_3x.
# X-101 in D2 is a caffe2 model: stride-2 stays on the 3x3 (the
# torchvision-style placement) and PIXEL_STD is the standard ImageNet
# std (BGR in D2, RGB-flipped here for Mayaku's RGB-native pipeline).
model:
  meta_architecture: faster_rcnn
  backbone:
    name: resnext101_32x8d
    norm: FrozenBN
    freeze_at: 2
    stride_in_1x1: false
  roi_heads:
    num_classes: 80
  roi_box_head:
    num_conv: 0
    num_fc: 2
    fc_dim: 1024
  # D2 X-101 PIXEL_STD = [57.375, 57.120, 58.395] in BGR; RGB-flipped
  # for Mayaku.
  pixel_std: [58.395, 57.120, 57.375]
input:
  min_size_test: 800
  max_size_test: 1333