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