52 lines
1.1 KiB
YAML
52 lines
1.1 KiB
YAML
Global:
|
|
infer_imgs: "images/coco_000000570688.jpg"
|
|
# infer_imgs: "../docs/images/whl/demo.jpg"
|
|
det_inference_model_dir: "./ppyolov2_r50vd_dcn_365e_mainbody_infer/"
|
|
rec_inference_model_dir: "./MobileNetV1_infer/"
|
|
batch_size: 1
|
|
image_shape: [3, 640, 640]
|
|
threshold: 0.5
|
|
max_det_results: 1
|
|
labe_list:
|
|
- foreground
|
|
|
|
# inference engine config
|
|
use_gpu: False
|
|
enable_mkldnn: True
|
|
cpu_num_threads: 100
|
|
enable_benchmark: True
|
|
use_fp16: False
|
|
ir_optim: True
|
|
use_tensorrt: False
|
|
gpu_mem: 8000
|
|
enable_profile: False
|
|
|
|
DetPreProcess:
|
|
transform_ops:
|
|
- DetResize:
|
|
interp: 2
|
|
keep_ratio: false
|
|
target_size: [640, 640]
|
|
- DetNormalizeImage:
|
|
is_scale: true
|
|
mean: [0.485, 0.456, 0.406]
|
|
std: [0.229, 0.224, 0.225]
|
|
- DetPermute: {}
|
|
|
|
DetPostProcess: {}
|
|
|
|
|
|
RecPreProcess:
|
|
transform_ops:
|
|
- ResizeImage:
|
|
resize_short: 256
|
|
- CropImage:
|
|
size: 224
|
|
- NormalizeImage:
|
|
scale: 0.00392157
|
|
mean: [0.485, 0.456, 0.406]
|
|
std: [0.229, 0.224, 0.225]
|
|
order: ''
|
|
- ToCHWImage:
|
|
|
|
RecPostProcess: null |