使用yolov3_r50vd_dcn_db_iouaware训练好的模型进行推理报错
Created by: Sharpiless
似乎是训练好的模型中参数没有对应到程序里面? D:/Anaconda3/envs/paddle_env/python.exe e:/程序猿/深度学习相关/目标检 测or追踪/Paddle目标检测/PaddleDetection-release-0.4/tools/infer.py -c .\yolov3_r50vd_dcn_db_iouaware_obj365_pretrained_coco.yml -o weights=yolov3_r50vd_dcn_db_iouaware_obj365_pretrained_coco.pdparams --infer_img=demo/000000014439_640x640.jpg 2020-07-24 21:04:55,383-WARNING: paddle.fluid.layers.matrix_nms OP not found, maybe a newer version of paddle is required. W0724 21:04:57.606950 23216 device_context.cc:237] Please NOTE: device: 0, CUDA Capability: 61, Driver API Version: 10.2, Runtime API Version: 10.0 W0724 21:04:57.621950 23216 device_context.cc:245] device: 0, cuDNN Version: 7.6. C:\Users\dell\AppData\Roaming\Python\Python36\site-packages\paddle\fluid\io.py:1972: UserWarning: This list is not set, Because of Paramerter not found in program. There are: create_parameter_0.w_0 create_parameter_1.w_0 create_parameter_2.w_0 create_parameter_3.w_0 create_parameter_4.w_0 create_parameter_5.w_0 create_parameter_6.w_0 create_parameter_7.w_0 create_parameter_8.w_0 create_parameter_9.w_0 create_parameter_10.w_0 create_parameter_11.w_0 create_parameter_12.w_0 create_parameter_13.w_0 create_parameter_14.w_0 create_parameter_15.w_0 create_parameter_16.w_0 create_parameter_17.w_0 create_parameter_18.w_0 create_parameter_19.w_0 create_parameter_20.w_0 create_parameter_21.w_0 create_parameter_22.w_0 create_parameter_23.w_0 create_parameter_24.w_0 create_parameter_25.w_0 create_parameter_26.w_0 create_parameter_27.w_0 create_parameter_28.w_0 create_parameter_29.w_0 create_parameter_30.w_0 create_parameter_31.w_0 create_parameter_32.w_0 create_parameter_33.w_0 create_parameter_34.w_0 create_parameter_35.w_0 create_parameter_36.w_0 create_parameter_37.w_0 create_parameter_38.w_0 create_parameter_39.w_0 create_parameter_40.w_0 create_parameter_41.w_0 create_parameter_42.w_0 create_parameter_43.w_0 create_parameter_44.w_0 create_parameter_45.w_0 create_parameter_46.w_0 create_parameter_47.w_0 format(" ".join(unused_para_list)))