paddleyolo 训练出来的模型放到 fastdeploy部署报错

[zhang7249]

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源代码：

import cv2
import fastdeploy.vision as vision

if __name__ == '__main__':
    model = vision.detection.PPYOLOE("inference_model3/yolov7u_l_300e_coco/model.pdmodel",
                                     "inference_model3/yolov7u_l_300e_coco/model.pdiparams",
                                     "inference_model3/yolov7u_l_300e_coco/infer_cfg.yml")
    im = cv2.imread("DJI_0001.JPG")
    result = model.predict(im)
    print(result)

    vis_im = vision.vis_detection(im, result, score_threshold=0.0, line_size=5)
    cv2.imwrite("vis_image.jpg", vis_im)

控制台报错：

Details

C:\Users\ASUS\AppData\Local\Programs\Python\Python37\python.exe "C:/Program Files/JetBrains/PyCharm 2022.3.3/plugins/python/helpers/pydev/pydevconsole.py" --mode=client --host=127.0.0.1 --port=63533 import sys; print('Python %s on %s' % (sys.version, sys.platform)) sys.path.extend(['C:\\Users\\ASUS\\PycharmProjects\\pythonProject']) PyDev console: starting. Python 3.7.8 (tags/v3.7.8:4b47a5b6ba, Jun 28 2020, 08:53:46) [MSC v.1916 64 bit (AMD64)] on win32 runfile('C:\\Users\\ASUS\\PycharmProjects\\pythonProject\\fastDeploy.py', wdir='C:\\Users\\ASUS\\PycharmProjects\\pythonProject') [FastDeploy][INFO]: Successfully found CUDA ToolKit from system PATH env -> C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\bin [INFO] fastdeploy/vision/common/processors/transform.cc(45)::fastdeploy::vision::FuseNormalizeCast Normalize and Cast are fused to Normalize in preprocessing pipeline. [INFO] fastdeploy/vision/common/processors/transform.cc(93)::fastdeploy::vision::FuseNormalizeHWC2CHW Normalize and HWC2CHW are fused to NormalizeAndPermute in preprocessing pipeline. [INFO] fastdeploy/vision/common/processors/transform.cc(159)::fastdeploy::vision::FuseNormalizeColorConvert BGR2RGB and NormalizeAndPermute are fused to NormalizeAndPermute with swap_rb=1 Traceback (most recent call last): File "C:\Users\ASUS\AppData\Local\Programs\Python\Python37\lib\code.py", line 90, in runcode exec(code, self.locals) File "", line 1, in File "C:\Program Files\JetBrains\PyCharm 2022.3.3\plugins\python\helpers\pydev\_pydev_bundle\pydev_umd.py", line 198, in runfile pydev_imports.execfile(filename, global_vars, local_vars) # execute the script File "C:\Program Files\JetBrains\PyCharm 2022.3.3\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py", line 18, in execfile exec(compile(contents+"\n", file, 'exec'), glob, loc) File "C:\Users\ASUS\PycharmProjects\pythonProject\fastDeploy.py", line 7, in "inference_model3/yolov7u_l_300e_coco/infer_cfg.yml") File "C:\Users\ASUS\AppData\Local\Programs\Python\Python37\lib\site-packages\fastdeploy\vision\detection\ppdet\__init__.py", line 106, in __init__ model_format) RuntimeError: Check 'creator_it != CREATORS_MAP.end()' failed at C:\Jenkins\workspace\private-ci\ie\build-windows-vs2019\b\repos\openvino\src\frontends\paddle\src\frontend.cpp:40: FrontEnd API failed with OpConversionFailure: : No creator found for flip node.

[nemonameless]

还没完全适配fastdeploy部署。建议直接使用PP-YOLOE+，精度速度依然领先。

[MystericQ]

模型加载框架和模型文件不对应吧，试试fd.vision.detection.PaddleYOLOv7() 你是YOLOv7 怎么能用ppyoloe

[nemonameless]

后续使用提问请到fastdeploy吧 https://github.com/PaddlePaddle/FastDeploy