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sjtubinlong avatar sjtubinlong commented on May 20, 2024 1

@baigang666 您好,后续我们会把几个主要模型的配置文件补全。

Yolov3 配置和 fastrcnn 区别在于两个:

  1. RESIZE_TYPE 修改为UNPADDING_SCALING
  2. FEEDS_SIZE 修改为2

参考文件如下:

DEPLOY:
    USE_GPU: 1
    MODEL_PATH: "/root/projects/models/yolov3"
    MODEL_FILENAME: "__model__"
    PARAMS_FILENAME: "__params__"
    EVAL_CROP_SIZE: (608, 608)
    RESIZE_TYPE: "UNPADDING_SCALING"
    TARGET_SHORT_SIZE : 800
    MEAN:  [0.485, 0.456, 0.406]
    STD: [0.229, 0.224, 0.225]
    IMAGE_TYPE: "rgb"
    NUM_CLASSES: 1
    CHANNELS : 3
    PRE_PROCESSOR: "DetectionPreProcessor"
    PREDICTOR_MODE: "ANALYSIS"
    BATCH_SIZE : 1 
    RESIZE_MAX_SIZE: 1333
    FEEDS_SIZE: 2

每个字段的注释参考文档 https://github.com/PaddlePaddle/PaddleDetection/tree/release/0.1/inference

from paddledetection.

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