# Mayaku eval config matching Detectron2's faster_rcnn_R_50_FPN_1x.
# Mirrors d2_configs/coco/detection/faster_rcnn_R_50_FPN_1x.yaml.
# 1x and 3x configs are inference-identical; the schedule difference
# only affects training.
model:
  meta_architecture: faster_rcnn
  backbone:
    name: resnet50
    norm: FrozenBN
    freeze_at: 2
    # D2's MSRA-pretrained R-50 puts stride-2 in the 1x1 conv of
    # res3/res4/res5; torchvision's default puts it on the 3x3.
    # Loading D2 weights with the wrong placement produces silently
    # wrong activations (same kernels, different downsampling step).
    stride_in_1x1: true
  roi_heads:
    num_classes: 80
  roi_box_head:
    num_conv: 0
    num_fc: 2
    fc_dim: 1024
  # D2's caffe2-trained model-zoo .pkls don't divide by std; D2's
  # Base-RCNN-FPN.yaml leaves PIXEL_STD at [1, 1, 1] for these configs.
  pixel_std: [1.0, 1.0, 1.0]
input:
  min_size_test: 800
  max_size_test: 1333