# 第一步
distort_param {
brightness_prob: 0.5
brightness_delta: 32.0
contrast_prob: 0.5
contrast_lower: 0.5
contrast_upper: 1.5
hue_prob: 0.5
hue_delta: 18.0
saturation_prob: 0.5
saturation_lower: 0.5
saturation_upper: 1.5
random_order_prob: 0.0
}
# 第二步 1.0到max_expand_ratio之间随机取数为扩充图片倍数,然后扩充图片。
# 以计算expand_ratio为准,在扩充的图片上随机裁减
expand_param {
prob: 0.5
max_expand_ratio: 4.0
}
第四步 resize
resize_param {
prob: 1.0
resize_mode: WARP
height: 300
width: 300
interp_mode: LINEAR
interp_mode: AREA
interp_mode: NEAREST
interp_mode: CUBIC
interp_mode: LANCZOS4
}
第五步 crop
# crop_size: 300
# crop_h:
# crop_w:
emit_constraint {
emit_type: CENTER
}
}
data_param {
source: "trainval_lmdb/"
batch_size: 24
backend: LMDB
}
annotated_data_param {
batch_sampler {
max_sample: 1
max_trials: 1
}
# 第三步
batch_sampler {
sampler {
min_scale: 0.3 #是边的比, 不是面积的比
max_scale: 1.0
min_aspect_ratio: 0.5 # 宽长比, 宽长比在程序中会限定在1/pow(scale,2)到pow(scale,2)之前
max_aspect_ratio: 2.0
}
sample_constraint {
min_jaccard_overlap: 0.1 # 采样框与检测框的JaccardOverlap应当大于这个值
max_jaccard_overlap: 1.0 # 采样框与检测框的JaccardOverlap应当小于这个值
min_sample_coverage: 0.1 # 交集比采样框应当大于这个值
max_sample_coverage: 0.1
min_object_coverage: 0.1 # 交集比检测框应当大于这个值
max_object_coverage: 0.1
}
max_sample: 1
max_trials: 50
}