add ssd config file, test=kunlun (#2089)

* add ssd config file, test=kunlun

* revise file format

configs/ssd/ssd_mobilenet_v1_roadsign_kunlun.yml

+architecture: SSD
+pretrain_weights: https://paddlemodels.bj.bcebos.com/object_detection/ssd_mobilenet_v1_voc.tar
+use_gpu: false
+use_xpu: true
+max_iters: 3000
+snapshot_iter: 500
+log_iter: 1
+metric: VOC
+map_type: 11point
+save_dir: output
+weights: output/ssd_mobilenet_v1_roadsign_kunlun/model_final
+num_classes: 5
+
+SSD:
+  backbone: MobileNet
+  multi_box_head: MultiBoxHead
+  output_decoder:
+    background_label: 0
+    keep_top_k: 200
+    nms_eta: 1.0
+    nms_threshold: 0.45
+    nms_top_k: 400
+    score_threshold: 0.01
+
+MobileNet:
+  norm_decay: 0.
+  conv_group_scale: 1
+  conv_learning_rate: 0.1
+  extra_block_filters: [[256, 512], [128, 256], [128, 256], [64, 128]]
+  with_extra_blocks: true
+
+MultiBoxHead:
+  aspect_ratios: [[2.], [2., 3.], [2., 3.], [2., 3.], [2., 3.], [2., 3.]]
+  base_size: 300
+  flip: true
+  max_ratio: 90
+  max_sizes: [[], 150.0, 195.0, 240.0, 285.0, 300.0]
+  min_ratio: 20
+  min_sizes: [60.0, 105.0, 150.0, 195.0, 240.0, 285.0]
+  offset: 0.5
+
+LearningRate:
+  schedulers:
+  - !PiecewiseDecay
+    milestones: [2000, 3000, 4000, 5000]
+    values: [0.0001, 0.00005, 0.000025, 0.00001, 0.000001]
+
+OptimizerBuilder:
+  optimizer:
+    momentum: 0.0
+    type: RMSPropOptimizer
+  regularizer:
+    factor: 0.00005
+    type: L2
+
+TrainReader:
+  inputs_def:
+    image_shape: [3, 300, 300]
+    fields: ['image', 'gt_bbox', 'gt_class']
+  dataset:
+    !VOCDataSet
+      anno_path: train.txt
+      dataset_dir: dataset/roadsign_voc
+      #use_default_label: true
+  sample_transforms:
+  - !DecodeImage
+    to_rgb: true
+  - !RandomDistort
+    brightness_lower: 0.875
+    brightness_upper: 1.125
+    is_order: true
+  - !RandomExpand
+    fill_value: [127.5, 127.5, 127.5]
+  - !RandomCrop
+    allow_no_crop: false
+  - !NormalizeBox {}
+  - !ResizeImage
+    interp: 1
+    target_size: 300
+    use_cv2: false
+  - !RandomFlipImage
+    is_normalized: true
+  - !Permute {}
+  - !NormalizeImage
+    is_scale: false
+    mean: [127.5, 127.5, 127.5]
+    std: [127.502231, 127.502231, 127.502231]
+  batch_size: 32
+  shuffle: true
+  drop_last: true
+  worker_num: 8
+  bufsize: 16
+  use_process: false
+
+EvalReader:
+  inputs_def:
+    image_shape: [3, 300, 300]
+    fields: ['image', 'gt_bbox', 'gt_class', 'im_shape', 'im_id', 'is_difficult']
+  dataset:
+    !VOCDataSet
+      anno_path: valid.txt
+      dataset_dir: dataset/roadsign_voc
+      #use_default_label: true
+  sample_transforms:
+  - !DecodeImage
+    to_rgb: true
+  - !NormalizeBox {}
+  - !ResizeImage
+    interp: 1
+    target_size: 300
+    use_cv2: false
+  - !Permute {}
+  - !NormalizeImage
+    is_scale: false
+    mean: [127.5, 127.5, 127.5]
+    std: [127.502231, 127.502231, 127.502231]
+  batch_size: 32
+  worker_num: 8
+  bufsize: 16
+  use_process: false
+
+TestReader:
+  inputs_def:
+    image_shape: [3,300,300]
+    fields: ['image', 'im_id', 'im_shape']
+  dataset:
+    !ImageFolder
+    anno_path: test.txt
+    use_default_label: true
+  sample_transforms:
+  - !DecodeImage
+    to_rgb: true
+  - !ResizeImage
+    interp: 1
+    max_size: 0
+    target_size: 300
+    use_cv2: true
+  - !Permute {}
+  - !NormalizeImage
+    is_scale: false
+    mean: [127.5, 127.5, 127.5]
+    std: [127.502231, 127.502231, 127.502231]
+  batch_size: 1