Moyan

.build_release/lib/libmodules.so: cannot open shared object file: No such file or directory

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@makefile hi，I have successfully run rfcn-resnet50 code, when I use fpn-resnet50(both master branches and fpn branches have tried) get this erro.

### Reminder - [X] I have read the README and searched the existing issues. ### Reproduction vlm will be supported？ ### Expected behavior _No response_ ### System Info _No response_...

python 调用fastdeploy返回的result内存无法释放？ del result也不行？

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# For deployment of GPU/TensorRT, please refer to examples/vision/detection/paddledetection/python import cv2 import fastdeploy.vision as vision im = cv2.imread("000000014439.jpg") model = vision.detection.PPYOLOE("ppyoloe_crn_l_300e_coco/model.pdmodel", "ppyoloe_crn_l_300e_coco/model.pdiparams", "ppyoloe_crn_l_300e_coco/infer_cfg.yml") result = model.predict(im) print(result) vis_im = vision.vis_detection(im,...

利用export出来onnx转mnn模型出现一堆胶水算子，但是下载您提供的是没有的？想请教下是我哪里的步骤问题。 我是下载了官方的v5lite-e.pt模型， 利用export 转v5lite-e.onnx， 通过onnxsim优化下， 在利用mnnconvert将v5lite-e-sim.onnx转为v5lite-e-sim.mnn netron可视化对比下载好的v5lite-e-mnnd_fp16.mnn多了很多胶水算子。 转onnx时候试过加或者不加mnnd/concat貌似都有很多Const算子 python export.py --weights v5lite-e.pt --mnnd --batch-size 1 onnxsim 优化 python -m onnxsim v5lite-e.onnx v5lite-e-sim.onnx mnnconvert（版本2.9.3）导出 mnnconvert -f ONNX --modelFile v5lite-e-sim.onnx --MNNModel v5lite-e-sim.mnn...

PaddleOCRVL关键字段不会输出

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### 🔎 Search before asking - [x] I have searched the PaddleOCR [Docs](https://paddlepaddle.github.io/PaddleOCR/) and found no similar bug report. - [x] I have searched the PaddleOCR [Issues](https://github.com/PaddlePaddle/PaddleOCR/issues) and found no...