将原始的 ONNX 模型转 成 RKNN 模型失败

bash 复制代码
/mnt/e/github/rknn_model_zoo/examples/yolov5/python$ python convert.py ../model/yolov5s_relu.onnx rv1106 i8 ../model/yolov5s_relu.rknn
/home/mazhongguang/.conda/envs/toolkit2/lib/python3.12/site-packages/rknn/api/rknn.py:51: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
  self.rknn_base = RKNNBase(cur_path, verbose)
I rknn-toolkit2 version: 2.3.2
--> Config model
done
--> Loading model
I Loading : 100%|██████████████████████████████████████████████| 121/121 [00:00<00:00, 14200.08it/s]
E load_onnx: Traceback (most recent call last):
  File "rknn/api/rknn_log.py", line 344, in rknn.api.rknn_log.error_catch_decorator.error_catch_wrapper
  File "rknn/api/rknn_base.py", line 1579, in rknn.api.rknn_base.RKNNBase.load_onnx
  File "rknn/api/rknn_base.py", line 613, in rknn.api.rknn_base.RKNNBase._create_ir_and_inputs_meta
  File "rknn/api/ir_graph.py", line 84, in rknn.api.ir_graph.IRGraph.__init__
  File "rknn/api/ir_graph.py", line 665, in rknn.api.ir_graph.IRGraph.rebuild
  File "rknn/api/base_utils.py", line 34, in rknn.api.base_utils.to_np_type
AttributeError: module 'onnx' has no attribute 'mapping'

I ===================== WARN(0) =====================
E rknn-toolkit2 version: 2.3.2
Traceback (most recent call last):
  File "rknn/api/rknn_log.py", line 344, in rknn.api.rknn_log.error_catch_decorator.error_catch_wrapper
  File "rknn/api/rknn_base.py", line 1579, in rknn.api.rknn_base.RKNNBase.load_onnx
  File "rknn/api/rknn_base.py", line 613, in rknn.api.rknn_base.RKNNBase._create_ir_and_inputs_meta
  File "rknn/api/ir_graph.py", line 84, in rknn.api.ir_graph.IRGraph.__init__
  File "rknn/api/ir_graph.py", line 665, in rknn.api.ir_graph.IRGraph.rebuild
  File "rknn/api/base_utils.py", line 34, in rknn.api.base_utils.to_np_type
AttributeError: module 'onnx' has no attribute 'mapping'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/mnt/f/github/rknn_model_zoo/examples/yolov5/python/convert.py", line 52, in <module>
    ret = rknn.load_onnx(model=model_path)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/mazhongguang/.conda/envs/toolkit2/lib/python3.12/site-packages/rknn/api/rknn.py", line 168, in load_onnx
    return self.rknn_base.load_onnx(model, inputs, input_size_list, input_initial_val, outputs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "rknn/api/rknn_log.py", line 349, in rknn.api.rknn_log.error_catch_decorator.error_catch_wrapper
  File "rknn/api/rknn_log.py", line 95, in rknn.api.rknn_log.RKNNLog.e
ValueError: Traceback (most recent call last):
  File "rknn/api/rknn_log.py", line 344, in rknn.api.rknn_log.error_catch_decorator.error_catch_wrapper
  File "rknn/api/rknn_base.py", line 1579, in rknn.api.rknn_base.RKNNBase.load_onnx
  File "rknn/api/rknn_base.py", line 613, in rknn.api.rknn_base.RKNNBase._create_ir_and_inputs_meta
  File "rknn/api/ir_graph.py", line 84, in rknn.api.ir_graph.IRGraph.__init__
  File "rknn/api/ir_graph.py", line 665, in rknn.api.ir_graph.IRGraph.rebuild
  File "rknn/api/base_utils.py", line 34, in rknn.api.base_utils.to_np_type
AttributeError: module 'onnx' has no attribute 'mapping'

当前环境中安装的 onnx 版本太高,而 RKNN-Toolkit2 v2.3.2 内部代码仍依赖旧版 ONNX 的 API(如 onnx.mapping),该 API 在新版 ONNX 中已被移除或重构。

确认当前 ONNX 版本

bash 复制代码
/mnt/e/github/rknn_model_zoo/examples/yolov5/python$ python -c "import onnx; print(onnx.__version__)"
1.20.0

卸载当前 ONNX 并安装兼容版本

RKNN-Toolkit2 v2.3.x 官方推荐使用 ONNX 1.16.1

bash 复制代码
pip uninstall onnx 
Found existing installation: onnx 1.20.0
Uninstalling onnx-1.20.0:
  Would remove:
    /home/mazhongguang/.conda/envs/toolkit2/bin/backend-test-tools
    /home/mazhongguang/.conda/envs/toolkit2/bin/check-model
    /home/mazhongguang/.conda/envs/toolkit2/bin/check-node
    /home/mazhongguang/.conda/envs/toolkit2/lib/python3.12/site-packages/onnx-1.20.0.dist-info/*
    /home/mazhongguang/.conda/envs/toolkit2/lib/python3.12/site-packages/onnx/*
Proceed (Y/n)? y
  Successfully uninstalled onnx-1.20.0

尝试安装 onnx

bash 复制代码
pip install onnx==1.14.0 -i https://pypi.tuna.tsinghua.edu.cn/simple

报错如下:

bash 复制代码
guang@Thinkbook:/mnt/e/github/rknn_model_zoo/examples/yolov5/python$ pip install onnx==1.14.0 -i https://pypi.tuna.tsinghua.edu.cn/simple
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting onnx==1.14.0
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/d2/f4/8bdd479ace89b7957231157cfdfec4be629e5bbbbebe21535d6c40df6d02/onnx-1.14.0.tar.gz (11.3 MB)
  Installing build dependencies ... done
  Getting requirements to build wheel ... done
  Installing backend dependencies ... done
  Preparing metadata (pyproject.toml) ... done
Requirement already satisfied: numpy in /home/mazhongguang/.conda/envs/toolkit2/lib/python3.12/site-packages (from onnx==1.14.0) (1.26.4)
Requirement already satisfied: protobuf>=3.20.2 in /home/mazhongguang/.conda/envs/toolkit2/lib/python3.12/site-packages (from onnx==1.14.0) (4.25.4)
Requirement already satisfied: typing-extensions>=3.6.2.1 in /home/mazhongguang/.conda/envs/toolkit2/lib/python3.12/site-packages (from onnx==1.14.0) (4.15.0)
Building wheels for collected packages: onnx
  Building wheel for onnx (pyproject.toml) ... error
  error: subprocess-exited-with-error
  
  × Building wheel for onnx (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [120 lines of output]
      <string>:33: DeprecationWarning: Use shutil.which instead of find_executable
      <string>:34: DeprecationWarning: Use shutil.which instead of find_executable
      致命错误:不是 git 仓库(或者直至挂载点 / 的任何父目录)
      停止在文件系统边界(未设置 GIT_DISCOVERY_ACROSS_FILESYSTEM)。
      /tmp/pip-build-env-a49os9co/overlay/lib/python3.12/site-packages/setuptools/_distutils/dist.py:289: UserWarning: Unknown distribution option: 'tests_require'
        warnings.warn(msg)
      running bdist_wheel
      running build
      running build_py
      running create_version
      running cmake_build
      Using cmake args: ['/usr/bin/cmake3', '-DPYTHON_INCLUDE_DIR=/home/mazhongguang/.conda/envs/toolkit2/include/python3.12', '-DPYTHON_EXECUTABLE=/home/mazhongguang/.conda/envs/toolkit2/bin/python3.12', '-DBUILD_ONNX_PYTHON=ON', '-DCMAKE_EXPORT_COMPILE_COMMANDS=ON', '-DONNX_NAMESPACE=onnx', '-DPY_EXT_SUFFIX=.cpython-312-x86_64-linux-gnu.so', '-DCMAKE_BUILD_TYPE=Release', '-DONNX_ML=1', '/tmp/pip-install-9jnhve_2/onnx_c163a1b87f884daea2b436bd3df9b84a']
      CMake Deprecation Warning at CMakeLists.txt:2 (cmake_minimum_required):
        Compatibility with CMake < 3.10 will be removed from a future version of
        CMake.
      
        Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
        to tell CMake that the project requires at least <min> but has been updated
        to work with policies introduced by <max> or earlier.
      
      
      -- The C compiler identification is GNU 15.2.1
      -- The CXX compiler identification is GNU 15.2.1
      -- Detecting C compiler ABI info
      -- Detecting C compiler ABI info - done
      -- Check for working C compiler: /usr/bin/cc - skipped
      -- Detecting C compile features
      -- Detecting C compile features - done
      -- Detecting CXX compiler ABI info
      -- Detecting CXX compiler ABI info - done
      -- Check for working CXX compiler: /usr/bin/c++ - skipped
      -- Detecting CXX compile features
      -- Detecting CXX compile features - done
      CMake Warning (dev) at CMakeLists.txt:119 (find_package):
        Policy CMP0148 is not set: The FindPythonInterp and FindPythonLibs modules
        are removed.  Run "cmake --help-policy CMP0148" for policy details.  Use
        the cmake_policy command to set the policy and suppress this warning.
      
      This warning is for project developers.  Use -Wno-dev to suppress it.
      
      -- Found PythonInterp: /home/mazhongguang/.conda/envs/toolkit2/bin/python3.12 (found version "3.12.12")
      CMake Warning (dev) at CMakeLists.txt:121 (find_package):
        Policy CMP0148 is not set: The FindPythonInterp and FindPythonLibs modules
        are removed.  Run "cmake --help-policy CMP0148" for policy details.  Use
        the cmake_policy command to set the policy and suppress this warning.
      
      This warning is for project developers.  Use -Wno-dev to suppress it.
      
      -- Found PythonLibs: /home/mazhongguang/.conda/envs/toolkit2/lib/libpython3.12.so (found version "3.12.12")
      Generated: /tmp/pip-install-9jnhve_2/onnx_c163a1b87f884daea2b436bd3df9b84a/.setuptools-cmake-build/onnx/onnx-ml.proto
      CMake Error at CMakeLists.txt:303 (message):
        Protobuf compiler not found
      Call Stack (most recent call first):
        CMakeLists.txt:334 (relative_protobuf_generate_cpp)
      
      
      -- Configuring incomplete, errors occurred!
      Traceback (most recent call last):
        File "/home/mazhongguang/.conda/envs/toolkit2/lib/python3.12/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 389, in <module>
          main()
        File "/home/mazhongguang/.conda/envs/toolkit2/lib/python3.12/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 373, in main
          json_out["return_val"] = hook(**hook_input["kwargs"])
                                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        File "/home/mazhongguang/.conda/envs/toolkit2/lib/python3.12/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 280, in build_wheel
          return _build_backend().build_wheel(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        File "/tmp/pip-build-env-a49os9co/overlay/lib/python3.12/site-packages/setuptools/build_meta.py", line 435, in build_wheel
          return _build(['bdist_wheel', '--dist-info-dir', str(metadata_directory)])
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        File "/tmp/pip-build-env-a49os9co/overlay/lib/python3.12/site-packages/setuptools/build_meta.py", line 423, in _build
          return self._build_with_temp_dir(
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^
        File "/tmp/pip-build-env-a49os9co/overlay/lib/python3.12/site-packages/setuptools/build_meta.py", line 404, in _build_with_temp_dir
          self.run_setup()
        File "/tmp/pip-build-env-a49os9co/overlay/lib/python3.12/site-packages/setuptools/build_meta.py", line 512, in run_setup
          super().run_setup(setup_script=setup_script)
        File "/tmp/pip-build-env-a49os9co/overlay/lib/python3.12/site-packages/setuptools/build_meta.py", line 317, in run_setup
          exec(code, locals())
        File "<string>", line 342, in <module>
        File "/tmp/pip-build-env-a49os9co/overlay/lib/python3.12/site-packages/setuptools/__init__.py", line 115, in setup
          return distutils.core.setup(**attrs)
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        File "/tmp/pip-build-env-a49os9co/overlay/lib/python3.12/site-packages/setuptools/_distutils/core.py", line 186, in setup
          return run_commands(dist)
                 ^^^^^^^^^^^^^^^^^^
        File "/tmp/pip-build-env-a49os9co/overlay/lib/python3.12/site-packages/setuptools/_distutils/core.py", line 202, in run_commands
          dist.run_commands()
        File "/tmp/pip-build-env-a49os9co/overlay/lib/python3.12/site-packages/setuptools/_distutils/dist.py", line 1002, in run_commands
          self.run_command(cmd)
        File "/tmp/pip-build-env-a49os9co/overlay/lib/python3.12/site-packages/setuptools/dist.py", line 1102, in run_command
          super().run_command(command)
        File "/tmp/pip-build-env-a49os9co/overlay/lib/python3.12/site-packages/setuptools/_distutils/dist.py", line 1021, in run_command
          cmd_obj.run()
        File "/tmp/pip-build-env-a49os9co/overlay/lib/python3.12/site-packages/setuptools/command/bdist_wheel.py", line 370, in run
          self.run_command("build")
        File "/tmp/pip-build-env-a49os9co/overlay/lib/python3.12/site-packages/setuptools/_distutils/cmd.py", line 357, in run_command
          self.distribution.run_command(command)
        File "/tmp/pip-build-env-a49os9co/overlay/lib/python3.12/site-packages/setuptools/dist.py", line 1102, in run_command
          super().run_command(command)
        File "/tmp/pip-build-env-a49os9co/overlay/lib/python3.12/site-packages/setuptools/_distutils/dist.py", line 1021, in run_command
          cmd_obj.run()
        File "/tmp/pip-build-env-a49os9co/overlay/lib/python3.12/site-packages/setuptools/_distutils/command/build.py", line 135, in run
          self.run_command(cmd_name)
        File "/tmp/pip-build-env-a49os9co/overlay/lib/python3.12/site-packages/setuptools/_distutils/cmd.py", line 357, in run_command
          self.distribution.run_command(command)
        File "/tmp/pip-build-env-a49os9co/overlay/lib/python3.12/site-packages/setuptools/dist.py", line 1102, in run_command
          super().run_command(command)
        File "/tmp/pip-build-env-a49os9co/overlay/lib/python3.12/site-packages/setuptools/_distutils/dist.py", line 1021, in run_command
          cmd_obj.run()
        File "<string>", line 236, in run
        File "/tmp/pip-build-env-a49os9co/overlay/lib/python3.12/site-packages/setuptools/_distutils/cmd.py", line 357, in run_command
          self.distribution.run_command(command)
        File "/tmp/pip-build-env-a49os9co/overlay/lib/python3.12/site-packages/setuptools/dist.py", line 1102, in run_command
          super().run_command(command)
        File "/tmp/pip-build-env-a49os9co/overlay/lib/python3.12/site-packages/setuptools/_distutils/dist.py", line 1021, in run_command
          cmd_obj.run()
        File "<string>", line 222, in run
        File "/home/mazhongguang/.conda/envs/toolkit2/lib/python3.12/subprocess.py", line 413, in check_call
          raise CalledProcessError(retcode, cmd)
      subprocess.CalledProcessError: Command '['/usr/bin/cmake3', '-DPYTHON_INCLUDE_DIR=/home/mazhongguang/.conda/envs/toolkit2/include/python3.12', '-DPYTHON_EXECUTABLE=/home/mazhongguang/.conda/envs/toolkit2/bin/python3.12', '-DBUILD_ONNX_PYTHON=ON', '-DCMAKE_EXPORT_COMPILE_COMMANDS=ON', '-DONNX_NAMESPACE=onnx', '-DPY_EXT_SUFFIX=.cpython-312-x86_64-linux-gnu.so', '-DCMAKE_BUILD_TYPE=Release', '-DONNX_ML=1', '/tmp/pip-install-9jnhve_2/onnx_c163a1b87f884daea2b436bd3df9b84a']' returned non-zero exit status 1.
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for onnx
Failed to build onnx
error: failed-wheel-build-for-install

× Failed to build installable wheels for some pyproject.toml based projects
╰─> onnx

安装protobuf-compiler protobuf-devel

bash 复制代码
guang@Thinkbook:/mnt/e/github/rknn_model_zoo/examples/yolov5/python$ sudo dnf install protobuf-compiler protobuf-devel
仓库更新和加载中:
仓库加载完成。
Package                                                         Arch           Version                                                          Repository                               Size
Installing:
 protobuf-compiler                                              x86_64         3.19.6-18.fc43                                                   fedora                                2.5 MiB
 protobuf-devel                                                 x86_64         3.19.6-18.fc43                                                   fedora                                2.7 MiB

Transaction Summary:
 Installing:         2 packages

本次要处理的软件包总大小为 1 MiB. 还需下载 1 MiB。
此次操作完成之后,5 MiB 额外的空间被使用 (安装 5 MiB, 删除 0 B)。
Is this ok [y/N]: y
[1/2] protobuf-devel-0:3.19.6-18.fc43.x86_64                                                                                                         100% | 230.7 KiB/s | 389.0 KiB |  00m02s
[2/2] protobuf-compiler-0:3.19.6-18.fc43.x86_64                                                                                                      100% | 438.2 KiB/s | 783.5 KiB |  00m02s
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
[2/2] Total                                                                                                                                          100% | 655.0 KiB/s |   1.1 MiB |  00m02s
执行事务
[1/4] 验证软件包文件                                                                                                                          100% | 200.0   B/s |   2.0   B |  00m00s
[2/4] 准备事务                                                                                                                                   100% |   2.0   B/s |   2.0   B |  00m01s
[3/4] 安装protobuf-compiler-0:3.19.6-18.fc43.x86_64                                                                                                100% |  47.9 MiB/s |   2.5 MiB |  00m00s
[4/4] 安装protobuf-devel-0:3.19.6-18.fc43.x86_64                                                                                                   100% |   3.9 MiB/s |   2.8 MiB |  00m01s
完成!

再次尝试安装

bash 复制代码
guang@Thinkbook:/mnt/e/github/rknn_model_zoo/examples/yolov5/python$ pip install onnx==1.14.0 -i https://pypi.tuna.tsinghua.edu.cn/simple
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting onnx==1.14.0
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/d2/f4/8bdd479ace89b7957231157cfdfec4be629e5bbbbebe21535d6c40df6d02/onnx-1.14.0.tar.gz (11.3 MB)
  Installing build dependencies ... done
  Getting requirements to build wheel ... done
  Installing backend dependencies ... done
  Preparing metadata (pyproject.toml) ... done
Requirement already satisfied: numpy in /home/mazhongguang/.conda/envs/toolkit2/lib/python3.12/site-packages (from onnx==1.14.0) (1.26.4)
Requirement already satisfied: protobuf>=3.20.2 in /home/mazhongguang/.conda/envs/toolkit2/lib/python3.12/site-packages (from onnx==1.14.0) (4.25.4)
Requirement already satisfied: typing-extensions>=3.6.2.1 in /home/mazhongguang/.conda/envs/toolkit2/lib/python3.12/site-packages (from onnx==1.14.0) (4.15.0)
Building wheels for collected packages: onnx
  Building wheel for onnx (pyproject.toml) ... done
  Created wheel for onnx: filename=onnx-1.14.0-cp312-cp312-linux_x86_64.whl size=13823887 sha256=a494c9c80c98d4744df67e7e6986afd1148d1a896418f60de46c44273321772f
  Stored in directory: /home/mazhongguang/.cache/pip/wheels/7d/4e/6f/9ed818d356eeb773973fa8122bf7138b8e4c329a096a624db2
Successfully built onnx
Installing collected packages: onnx
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
rknn-toolkit2 2.3.2 requires onnx>=1.16.1, but you have onnx 1.14.0 which is incompatible.
Successfully installed onnx-1.14.0

提示需要安装1.16.1

bash 复制代码
guang@Thinkbook:/mnt/e/github/rknn_model_zoo/examples/yolov5/python$ pip install onnx==1.16.1 -i https://pypi.tuna.tsinghua.edu.cn/simple
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting onnx==1.16.1
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/14/a9/bb3a9aedbdc6a5ab8423d3d246a8e6d14f527de0d992fefa55d5b23fd7f0/onnx-1.16.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.9 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 15.9/15.9 MB 14.4 MB/s  0:00:01
Requirement already satisfied: numpy>=1.20 in /home/mazhongguang/.conda/envs/toolkit2/lib/python3.12/site-packages (from onnx==1.16.1) (1.26.4)
Requirement already satisfied: protobuf>=3.20.2 in /home/mazhongguang/.conda/envs/toolkit2/lib/python3.12/site-packages (from onnx==1.16.1) (4.25.4)
Installing collected packages: onnx
Successfully installed onnx-1.16.1

转换完成

bash 复制代码
guang@Thinkbook:/mnt/e/github/rknn_model_zoo/examples/yolov5/python$ python convert.py ../model/yolov5s_relu.onnx rv1106 i8 ../model/yolov5s_relu.rknn
/home/mazhongguang/.conda/envs/toolkit2/lib/python3.12/site-packages/rknn/api/rknn.py:51: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
  self.rknn_base = RKNNBase(cur_path, verbose)
I rknn-toolkit2 version: 2.3.2
--> Config model
done
--> Loading model
I Loading : 100%|██████████████████████████████████████████████| 121/121 [00:00<00:00, 14217.18it/s]
done
--> Building model
I OpFusing 0: 100%|█████████████████████████████████████████████| 100/100 [00:00<00:00, 2961.43it/s]
I OpFusing 1 : 100%|████████████████████████████████████████████| 100/100 [00:00<00:00, 1543.77it/s]
I OpFusing 2 : 100%|████████████████████████████████████████████| 100/100 [00:00<00:00, 1409.30it/s]
I GraphPreparing : 100%|████████████████████████████████████████| 149/149 [00:00<00:00, 6904.62it/s]
I Quantizating : 100%|████████████████████████████████████████████| 149/149 [00:08<00:00, 18.19it/s]
W build: The default input dtype of 'images' is changed from 'float32' to 'int8' in rknn model for performance!
                       Please take care of this change when deploy rknn model with Runtime API!
W build: The default output dtype of 'output0' is changed from 'float32' to 'int8' in rknn model for performance!
                      Please take care of this change when deploy rknn model with Runtime API!
W build: The default output dtype of '286' is changed from 'float32' to 'int8' in rknn model for performance!
                      Please take care of this change when deploy rknn model with Runtime API!
W build: The default output dtype of '288' is changed from 'float32' to 'int8' in rknn model for performance!
                      Please take care of this change when deploy rknn model with Runtime API!
I rknn building ...
I rknn building done.
done
--> Export rknn model
done
相关推荐
棒棒的皮皮1 天前
【深度学习】YOLO核心原理介绍
人工智能·深度学习·yolo·计算机视觉
吃人陈乐游刘2 天前
08实战经验yoloV8部署(2026年01月)
yolo
熬夜不洗澡2 天前
如何在pycharm中使用Yolo
ide·yolo·pycharm
智驱力人工智能2 天前
从占座到智座 非授权人员座位占用监测系统的产品化思考与实践 椅位占用检测 非员工座位占用AI预警 边缘计算非授权座位识别设备
人工智能·opencv·算法·安全·yolo·计算机视觉·边缘计算
AI浩2 天前
SPDC-YOLO:基于改进YOLOv8的高效无人机航拍图像小目标检测网络
yolo·目标检测·无人机
棒棒的皮皮2 天前
【深度学习】YOLO本地环境搭建
人工智能·深度学习·yolo·计算机视觉
数据分享者2 天前
原创大规模无人机检测数据集:11998张高质量图像,支持YOLOv8、COCO、TensorFlow多格式训练,涵盖飞机、无人机、直升机三大目标类别
算法·yolo·数据分析·tensorflow·无人机
像风一样的男人@2 天前
python --yolo混合文件xml和img整理
xml·python·yolo
棒棒的皮皮2 天前
【深度学习】YOLO入门到精通学习思维导图
学习·yolo·计算机视觉