chenjiachengzzz commented 2 years ago

d94c75b27794dac837dede16e2e5c48 283b5635e6089a9efd234b2524b42e6

DefTruth commented 2 years ago

我没有在windows编译过，你可以看一下别人是怎么解决的。

References for Windows10 users

windows下的使用可以参考以下这几个讨论(some references for windows users)

👉 #6
👉 #10
👉 #32
👉 #48
👉 #39
👉 #77

另外,是win32和system32，目前lite.ai.toolkit没有考虑32位的系统。还有就是在windows下编译完之后，需要手动把依赖库都拷贝到build/lite.ai.toolkit/lib和build/lite.ai.toolkit/bin，并且检查修改下模型文件的路径，比如说路径的反斜杠之类的。(Also, for win32 and system32, currently, lite.ai.toolkit does not consider 32-bit systems. Also, after compiling under Windows, you need to manually copy the dependent libraries to build/lite.ai.toolkit/lib and build/lite.ai.toolkit/bin, and check and modify the path of the model file, for example, The backslash of the path.)

Search issues about windows

DefTruth commented 2 years ago

你这里看起来几乎都是onnxruntime的问题，应该某些转换被禁用了，导致编译通不过

chenjiachengzzz commented 2 years ago

我就是把opecv和onnxruntime下载下来，然后把相应的文件拷到lite.ai.toolkit里面，然后build，build成功了，就是make -j8的时候就开始报错。

DefTruth commented 2 years ago

我不太懂为啥build成功了还要make? 不是cmake + make之后才会build成功吗。windows的命令行感觉不太好使啊，windows建议采用 cmake+clion的方式，将opencv和onnxruntime的dll下载下来放在lite.ai.toolkit/lib,并删除原来的dylib(这是mac的)，用clion来打开工程，设置编译工具链设置为vs2017对应的，尝试在clion中加载lite.ai.toolkit根目录的CMakeLists.txt初始化工程（注意要记得先将CMakeLists.txt中的ENABLE_MNN/ENABLE_TNN/ENABLE_NCNN都先手动指定为OFF，因为windows下无法使用我写好的build.sh，build.sh是有默认设置的，所以在win只能手动改），看一下cmake输出的各个message是否正常。然后初始化成功后，点击右上角的build，进行编译。其实编译逻辑都写在CMakeLists.txt了，有问题可以看看CMakeLists.txt。编译完的lite.ai.toolkit.dll会在build/lite.ai.toolkit/lib目录下，使用时，需要把opencv、onnxruntime、lite.ai.toolkit的dll都放在同一个目录下

chenjiachengzzz commented 2 years ago

我不太懂为啥build成功了还要make? 不是cmake + make之后才会build成功吗。windows的命令行感觉不太好使啊，windows建议采用 cmake+clion的方式，将opencv和onnxruntime的dll下载下来放在lite.ai.toolkit/lib,并删除原来的dylib(这是mac的)，用clion来打开工程，设置编译工具链设置为vs2017对应的，尝试在clion中加载lite.ai.toolkit根目录的CMakeLists.txt初始化工程（注意要记得先将CMakeLists.txt中的ENABLE_MNN/ENABLE_TNN/ENABLE_NCNN都先手动指定为OFF，因为windows下无法使用我写好的build.sh，build.sh是有默认设置的，所以在win只能手动改），看一下cmake输出的各个message是否正常。然后初始化成功后，点击右上角的build，进行编译。其实编译逻辑都写在CMakeLists.txt了，有问题可以看看CMakeLists.txt。编译完的lite.ai.toolkit.dll会在build/lite.ai.toolkit/lib目录下，使用时，需要把opencv、onnxruntime、lite.ai.toolkit的dll都放在同一个目录下

emm,是我说错了，就是运行build.sh cmake成功了，然后make -j8 报错了。。。

DefTruth commented 2 years ago

你这里看起来是编译器禁用了某些选项，导致onnxruntime的链接有问题，我看到连execption都被禁用了。具体我就不清楚了。

chenjiachengzzz commented 2 years ago

你这里看起来是编译器禁用了某些选项，导致onnxruntime的链接有问题，我看到连execption都被禁用了。具体我就不清楚了。

哥，我换了个mac 编译还是有点问题，能帮我看看是啥问题吗

DefTruth commented 2 years ago

链接不到动态库。为什么会用到opencv_dnn这个库呢？应该是不需要的啊

DefTruth commented 2 years ago

你在mac下直接运行 sh ./build.sh 应该就可以编译了。我这边都是这样编译的。

DefTruth commented 2 years ago

我感觉我帮不了你了，不知道你的系统到底啥问题.....

DefTruth commented 2 years ago

你在mac是怎么编译的？太奇怪了，因为我是在Mac下开发的，所以我觉得mac下是不太可能出问题的啊。

DefTruth commented 2 years ago

我在mac下的编译log:

➜  github git clone --depth=1 https://github.com/DefTruth/lite.ai.toolkit.git
Cloning into 'lite.ai.toolkit'...
remote: Enumerating objects: 1453, done.
remote: Counting objects: 100% (1453/1453), done.
remote: Compressing objects: 100% (989/989), done.
remote: Total 1453 (delta 585), reused 1136 (delta 431), pack-reused 0
Receiving objects: 100% (1453/1453), 291.42 MiB | 16.53 MiB/s, done.
Resolving deltas: 100% (585/585), done.
Checking out files: 100% (1407/1407), done.
➜  github cd lite.ai.toolkit
➜  lite.ai.toolkit git:(main) sh ./build.sh
build directory exist! clearing ...
clear built files done ! & rebuilding ...
-- The C compiler identification is AppleClang 10.0.1.10010046
-- The CXX compiler identification is AppleClang 10.0.1.10010046
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/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: /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/c++ - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
########## Checking Platform for: /Users/xxx/Desktop/third_party/github/lite.ai.toolkit ###########
====================================  Lite.AI.ToolKit  0.1.0 =============================
Project: lite.ai.toolkit
Version: 0.1.0
SO Version: 0.1.0
Build Type: MinSizeRel
Platform Name: macos
Root Path: /Users/qiuyanjun/Desktop/third_party/github/lite.ai.toolkit
================================================================================
###################################  Engines Enable Details ...  #######################################
-- INCLUDE_OPENCV: ON
-- ENABLE_ONNXRUNTIME: ON
-- ENABLE_MNN: OFF
-- ENABLE_NCNN: OFF
-- ENABLE_TNN: OFF
######################################################################################################
########## Setting up OpenCV libs for: /Users/xxx/Desktop/third_party/github/lite.ai.toolkit ###########
###########################################################################################
Installing Lite.AI.ToolKit Headers for ONNXRuntime Backend ...
-- Installing: /Users/xxx/Desktop/third_party/github/lite.ai.toolkit/build/lite.ai.toolkit/include/lite/ort/core/ort_config.h
.......
Installing Lite.AI.ToolKit Headers ...
-- Installing: /Users/xxx/Desktop/third_party/github/lite.ai.toolkit/build/lite.ai.toolkit/include/lite/backend.h
-- Installing: /Users/xxx/Desktop/third_party/github/lite.ai.toolkit/build/lite.ai.toolkit/include/lite/config.h
-- Installing: /Users/xxx/Desktop/third_party/github/lite.ai.toolkit/build/lite.ai.toolkit/include/lite/lite.ai.defs.h
-- Installing: /Users/xxx/Desktop/third_party/github/lite.ai.toolkit/build/lite.ai.toolkit/include/lite/lite.ai.headers.h
-- Installing: /Users/xxx/Desktop/third_party/github/lite.ai.toolkit/build/lite.ai.toolkit/include/lite/lite.h
-- Installing: /Users/xxx/Desktop/third_party/github/lite.ai.toolkit/build/lite.ai.toolkit/include/lite/models.h
-- Installing: /Users/xxx/Desktop/third_party/github/lite.ai.toolkit/build/lite.ai.toolkit/include/lite/pipeline.h
-- Installing: /Users/xxx/Desktop/third_party/github/lite.ai.toolkit/build/lite.ai.toolkit/include/lite/types.h
-- Installing: /Users/xxx/Desktop/third_party/github/lite.ai.toolkit/build/lite.ai.toolkit/include/lite/utils.h
>>>> Added Shared Library: lite.ai.toolkit !
Installing OpenCV libs        ->  INCLUDE_OPENCV:      ON ...
-- Installing: /Users/xxx/Desktop/third_party/github/lite.ai.toolkit/build/lite.ai.toolkit/lib/libopencv_core.4.5.dylib
-- Installing: /Users/xxx/Desktop/third_party/github/lite.ai.toolkit/build/lite.ai.toolkit/lib/libopencv_core.dylib
-- Installing: /Users/xxx/Desktop/third_party/github/lite.ai.toolkit/build/lite.ai.toolkit/lib/libopencv_imgcodecs.4.5.dylib
-- Installing: /Users/xxx/Desktop/third_party/github/lite.ai.toolkit/build/lite.ai.toolkit/lib/libopencv_imgcodecs.dylib
-- Installing: /Users/xxx/Desktop/third_party/github/lite.ai.toolkit/build/lite.ai.toolkit/lib/libopencv_imgproc.4.5.dylib
-- Installing: /Users/xxx/Desktop/third_party/github/lite.ai.toolkit/build/lite.ai.toolkit/lib/libopencv_imgproc.dylib
-- Installing: /Users/xxx/Desktop/third_party/github/lite.ai.toolkit/build/lite.ai.toolkit/lib/libopencv_video.4.5.dylib
-- Installing: /Users/xxx/Desktop/third_party/github/lite.ai.toolkit/build/lite.ai.toolkit/lib/libopencv_video.dylib
-- Installing: /Users/xxx/Desktop/third_party/github/lite.ai.toolkit/build/lite.ai.toolkit/lib/libopencv_videoio.4.5.dylib
-- Installing: /Users/xxx/Desktop/third_party/github/lite.ai.toolkit/build/lite.ai.toolkit/lib/libopencv_videoio.dylib
Installing ONNXRuntime libs  ->  ENABLE_ONNXRUNTIME: ON ...
-- Installing: /Users/xxx/Desktop/third_party/github/lite.ai.toolkit/build/lite.ai.toolkit/lib/libonnxruntime.1.7.0.dylib
-- Installing: /Users/xxx/Desktop/third_party/github/lite.ai.toolkit/build/lite.ai.toolkit/lib/libonnxruntime.dylib
>>>> Added Lite Executable: lite_age_googlenet !
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-- Configuring done
-- Generating done
-- Build files have been written to: /Users/xxx/Desktop/third_party/github/lite.ai.toolkit/build
Scanning dependencies of target lite.ai.toolkit
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➜  lite.ai.toolkit git:(main) ✗ cd build/lite.ai.toolkit/bin
➜  bin git:(main) ✗ ls
liblite.ai.toolkit.0.1.0.dylib             libopencv_video.4.5.dylib                  lite_densenet                              lite_facenet                               lite_glint_partial_fc                      lite_naive_pose_robust_face                lite_resnet                                lite_ssd_mobilenetv1                       lite_vgg16_gender
liblite.ai.toolkit.dylib                   libopencv_video.dylib                      lite_efficient_emotion7                    lite_fast_style_transfer                   lite_hardnet                               lite_nanodet                               lite_resnext                               lite_ssrnet                                lite_yolo5face
libonnxruntime.1.7.0.dylib                 libopencv_videoio.4.5.dylib                lite_efficient_emotion8                    lite_fcn_resnet101                         lite_ibnnet                                lite_nanodet_depreciated                   lite_retinaface                            lite_subpixel_cnn                          lite_yolop
libonnxruntime.dylib                       libopencv_videoio.dylib                    lite_efficientdet                          lite_focal_arcface                         lite_mg_matting                            lite_nanodet_efficientnet_lite             lite_rexnet_emotion7                       lite_tencent_cifp_face                     lite_yolor
libopencv_core.4.5.dylib                   lite_age_googlenet                         lite_efficientdet_d7                       lite_focal_asia_arcface                    lite_mobile_emotion7                       lite_nanodet_efficientnet_lite_depreciated lite_rvm                                   lite_tencent_curricular_face               lite_yolov3
libopencv_core.dylib                       lite_cava_combined_face                    lite_efficientdet_d8                       lite_fsanet                                lite_mobile_facenet                        lite_nanodet_plus                          lite_scaled_yolov4                         lite_tiny_yolov3                           lite_yolov4
libopencv_imgcodecs.4.5.dylib              lite_cava_ghost_arcface                    lite_efficientnet_lite4                    lite_gender_googlenet                      lite_mobilenetv2                           lite_pfld                                  lite_scrfd                                 lite_tiny_yolov4_coco                      lite_yolov5
libopencv_imgcodecs.dylib                  lite_center_loss_face                      lite_emotion_ferplus                       lite_ghostnet                              lite_mobilenetv2_68                        lite_pfld68                                lite_shufflenetv2                          lite_tiny_yolov4_voc                       lite_yolov5_v6.0
libopencv_imgproc.4.5.dylib                lite_colorizer                             lite_face_landmarks_1000                   lite_glint_arcface                         lite_mobilenetv2_se_68                     lite_pfld98                                lite_sphere_face                           lite_ultraface                             lite_yolox
libopencv_imgproc.dylib                    lite_deeplabv3_resnet101                   lite_faceboxes                             lite_glint_cosface                         lite_mobilese_focal_face                   lite_pose_robust_face                      lite_ssd                                   lite_vgg16_age                             lite_yolox_v0.1.1
➜  bin git:(main) ✗ ./lite_yolov5
LITEORT_DEBUG LogId: ../../../hub/onnx/cv/yolov5s.onnx
=============== Input-Dims ==============
input_node_dims: 1
input_node_dims: 3
input_node_dims: 640
input_node_dims: 640
=============== Output-Dims ==============
Output: 0 Name: pred Dim: 0 :1
Output: 0 Name: pred Dim: 1 :25200
Output: 0 Name: pred Dim: 2 :85
Output: 1 Name: output2 Dim: 0 :1
Output: 1 Name: output2 Dim: 1 :3
Output: 1 Name: output2 Dim: 2 :80
Output: 1 Name: output2 Dim: 3 :80
Output: 1 Name: output2 Dim: 4 :85
Output: 2 Name: output3 Dim: 0 :1
Output: 2 Name: output3 Dim: 1 :3
Output: 2 Name: output3 Dim: 2 :40
Output: 2 Name: output3 Dim: 3 :40
Output: 2 Name: output3 Dim: 4 :85
Output: 3 Name: output4 Dim: 0 :1
Output: 3 Name: output4 Dim: 1 :3
Output: 3 Name: output4 Dim: 2 :20
Output: 3 Name: output4 Dim: 3 :20
Output: 3 Name: output4 Dim: 4 :85
========================================
detected num_anchors: 25200
generate_bboxes num: 48
Default Version Detected Boxes Num: 5
LITEORT_DEBUG LogId: ../../../hub/onnx/cv/yolov5s.onnx
=============== Input-Dims ==============
input_node_dims: 1
input_node_dims: 3
input_node_dims: 640
input_node_dims: 640
=============== Output-Dims ==============
Output: 0 Name: pred Dim: 0 :1
Output: 0 Name: pred Dim: 1 :25200
Output: 0 Name: pred Dim: 2 :85
Output: 1 Name: output2 Dim: 0 :1
Output: 1 Name: output2 Dim: 1 :3
Output: 1 Name: output2 Dim: 2 :80
Output: 1 Name: output2 Dim: 3 :80
Output: 1 Name: output2 Dim: 4 :85
Output: 2 Name: output3 Dim: 0 :1
Output: 2 Name: output3 Dim: 1 :3
Output: 2 Name: output3 Dim: 2 :40
Output: 2 Name: output3 Dim: 3 :40
Output: 2 Name: output3 Dim: 4 :85
Output: 3 Name: output4 Dim: 0 :1
Output: 3 Name: output4 Dim: 1 :3
Output: 3 Name: output4 Dim: 2 :20
Output: 3 Name: output4 Dim: 3 :20
Output: 3 Name: output4 Dim: 4 :85
========================================
detected num_anchors: 25200
generate_bboxes num: 39
ONNXRuntime Version Detected Boxes Num: 4
➜  bin git:(main) ✗

chenjiachengzzz commented 2 years ago

你这里看起来是编译器禁用了某些选项，导致onnxruntime的链接有问题，我看到连execption都被禁用了。具体我就不清楚了。

哥，我换了个mac 编译还是有点问题，能帮我看看是啥问题吗

你在mac是怎么编译的？太奇怪了，因为我是在Mac下开发的，所以我觉得mac下是不太可能出问题的啊。

sh build.sh build directory exist! clearing ... clear built files done ! & rebuilding ... -- The C compiler identification is AppleClang 13.0.0.13000027 -- The CXX compiler identification is AppleClang 13.0.0.13000027 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /Library/Developer/CommandLineTools/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: /Library/Developer/CommandLineTools/usr/bin/c++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done ########## Checking Platform for: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main ########### ==================================== Lite.AI.ToolKit 0.1.0 ============================= Project: lite.ai.toolkit Version: 0.1.0 SO Version: 0.1.0 Build Type: MinSizeRel Platform Name: macos Root Path: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main

################################### Engines Enable Details ... ####################################### -- INCLUDE_OPENCV: ON -- ENABLE_ONNXRUNTIME: ON -- ENABLE_MNN: OFF -- ENABLE_NCNN: OFF -- ENABLE_TNN: OFF ###################################################################################################### ########## Setting up OpenCV libs for: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main ########### ########################################################################################### Installing Lite.AI.ToolKit Headers for ONNXRuntime Backend ... -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/core/ort_config.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/core/ort_core.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/core/ort_defs.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/core/ort_handler.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/core/ort_types.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/core/ort_utils.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/age_googlenet.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/cava_combined_face.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/cava_ghost_arcface.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/center_loss_face.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/colorizer.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/deeplabv3_resnet101.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/densenet.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/efficient_emotion7.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/efficient_emotion8.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/efficientdet.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/efficientdet_d7.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/efficientdet_d8.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/efficientnet_lite4.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/emotion_ferplus.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/face_landmarks_1000.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/faceboxes.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/facenet.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/fast_style_transfer.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/fcn_resnet101.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/focal_arcface.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/focal_asia_arcface.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/fsanet.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/gender_googlenet.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/ghostnet.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/glint_arcface.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/glint_cosface.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/glint_partial_fc.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/hardnet.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/ibnnet.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/mg_matting.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/mobile_emotion7.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/mobile_facenet.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/mobilenetv2.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/mobilenetv2_68.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/mobilenetv2_se_68.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/mobilese_focal_face.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/naive_pose_robust_face.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/nanodet.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/nanodet_efficientnet_lite.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/nanodet_plus.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/pfld.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/pfld68.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/pfld98.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/pose_robust_face.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/resnet.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/resnext.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/retinaface.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/rexnet_emotion7.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/rvm.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/scaled_yolov4.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/scrfd.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/shufflenetv2.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/sphere_face.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/ssd.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/ssd_mobilenetv1.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/ssrnet.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/subpixel_cnn.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/tencent_cifp_face.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/tencent_curricular_face.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/tiny_yolov3.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/tiny_yolov4_coco.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/tiny_yolov4_voc.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/ultraface.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/vgg16_age.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/vgg16_gender.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/yolo5face.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/yolop.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/yolor.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/yolov3.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/yolov4.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/yolov5.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/yolov5_v6.0.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/yolox.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/ort/cv/yolox_v0.1.1.h Installing Lite.AI.ToolKit Headers ... -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/backend.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/config.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/lite.ai.defs.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/lite.ai.headers.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/lite.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/models.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/pipeline.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/types.h -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/include/lite/utils.h

Added Shared Library: lite.ai.toolkit ! Installing OpenCV libs -> INCLUDE_OPENCV: ON ... -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/lib/libopencv_core.4.5.dylib -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/lib/libopencv_core.dylib -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/lib/libopencv_imgcodecs.4.5.dylib -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/lib/libopencv_imgcodecs.dylib -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/lib/libopencv_imgproc.4.5.dylib -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/lib/libopencv_imgproc.dylib -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/lib/libopencv_video.4.5.dylib -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/lib/libopencv_video.dylib -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/lib/libopencv_videoio.4.5.dylib -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/lib/libopencv_videoio.dylib Installing ONNXRuntime libs -> ENABLE_ONNXRUNTIME: ON ... -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/lib/libonnxruntime.1.7.0.dylib -- Installing: /Users/mercy/Desktop/cjc/lite.ai.toolkit-main/build/lite.ai.toolkit/lib/libonnxruntime.dylib Added Lite Executable: lite_age_googlenet ! Added Lite Executable: lite_fsanet ! Added Lite Executable: lite_colorizer ! Added Lite Executable: lite_deeplabv3_resnet101 ! Added Lite Executable: lite_densenet ! Added Lite Executable: lite_efficientnet_lite4 ! Added Lite Executable: lite_emotion_ferplus ! Added Lite Executable: lite_fast_style_transfer ! Added Lite Executable: lite_fcn_resnet101 ! Added Lite Executable: lite_gender_googlenet ! Added Lite Executable: lite_ghostnet ! Added Lite Executable: lite_hardnet ! Added Lite Executable: lite_ibnnet ! Added Lite Executable: lite_mobilenetv2 ! Added Lite Executable: lite_pfld ! Added Lite Executable: lite_resnet ! Added Lite Executable: lite_resnext ! Added Lite Executable: lite_shufflenetv2 ! Added Lite Executable: lite_ssrnet ! Added Lite Executable: lite_subpixel_cnn ! Added Lite Executable: lite_ultraface ! Added Lite Executable: lite_vgg16_age ! Added Lite Executable: lite_vgg16_gender ! Added Lite Executable: lite_yolov3 ! Added Lite Executable: lite_yolov4 ! Added Lite Executable: lite_yolov5 ! Added Lite Executable: lite_tiny_yolov3 ! Added Lite Executable: lite_ssd ! Added Lite Executable: lite_ssd_mobilenetv1 ! Added Lite Executable: lite_glint_arcface ! Added Lite Executable: lite_glint_cosface ! Added Lite Executable: lite_glint_partial_fc ! Added Lite Executable: lite_facenet ! Added Lite Executable: lite_focal_arcface ! Added Lite Executable: lite_focal_asia_arcface ! Added Lite Executable: lite_tencent_cifp_face ! Added Lite Executable: lite_tencent_curricular_face ! Added Lite Executable: lite_center_loss_face ! Added Lite Executable: lite_sphere_face ! Added Lite Executable: lite_pose_robust_face ! Added Lite Executable: lite_naive_pose_robust_face ! Added Lite Executable: lite_mobile_facenet ! Added Lite Executable: lite_cava_ghost_arcface ! Added Lite Executable: lite_cava_combined_face ! Added Lite Executable: lite_yolox ! Added Lite Executable: lite_mobilese_focal_face ! Added Lite Executable: lite_efficient_emotion7 ! Added Lite Executable: lite_efficient_emotion8 ! Added Lite Executable: lite_rexnet_emotion7 ! Added Lite Executable: lite_mobile_emotion7 ! Added Lite Executable: lite_pfld98 ! Added Lite Executable: lite_pfld68 ! Added Lite Executable: lite_mobilenetv2_68 ! Added Lite Executable: lite_mobilenetv2_se_68 ! Added Lite Executable: lite_face_landmarks_1000 ! Added Lite Executable: lite_retinaface ! Added Lite Executable: lite_faceboxes ! Added Lite Executable: lite_tiny_yolov4_voc ! Added Lite Executable: lite_tiny_yolov4_coco ! Added Lite Executable: lite_yolor ! Added Lite Executable: lite_scaled_yolov4 ! Added Lite Executable: lite_efficientdet ! Added Lite Executable: lite_efficientdet_d7 ! Added Lite Executable: lite_efficientdet_d8 ! Added Lite Executable: lite_yolop ! Added Lite Executable: lite_rvm ! Added Lite Executable: lite_nanodet ! Added Lite Executable: lite_nanodet_efficientnet_lite ! Added Lite Executable: lite_nanodet_depreciated ! Added Lite Executable: lite_nanodet_efficientnet_lite_depreciated ! Added Lite Executable: lite_yolox_v0.1.1 ! Added Lite Executable: lite_yolov5_v6.0 ! Added Lite Executable: lite_mg_matting ! Added Lite Executable: lite_nanodet_plus ! Added Lite Executable: lite_scrfd ! 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Built target lite_nanodet [ 94%] Built target lite_nanodet_efficientnet_lite [ 95%] Linking CXX executable ../../lite.ai.toolkit/bin/lite_yolox_v0.1.1 [ 95%] Built target lite_nanodet_depreciated [ 96%] Building CXX object examples/lite/CMakeFiles/lite_nanodet_plus.dir/cv/test_lite_nanodet_plus.cpp.o [ 96%] Building CXX object examples/lite/CMakeFiles/lite_scrfd.dir/cv/test_lite_scrfd.cpp.o [ 96%] Building CXX object examples/lite/CMakeFiles/lite_yolo5face.dir/cv/test_lite_yolo5face.cpp.o [ 96%] Built target lite_nanodet_efficientnet_lite_depreciated [ 96%] Linking CXX executable ../../lite.ai.toolkit/bin/lite_yolop [ 96%] Built target lite_yolox_v0.1.1 [ 96%] Built target lite_yolop [ 97%] Linking CXX executable ../../lite.ai.toolkit/bin/lite_yolov5_v6.0 [ 97%] Built target lite_yolov5_v6.0 [ 98%] Linking CXX executable ../../lite.ai.toolkit/bin/lite_mg_matting [ 98%] Linking CXX executable ../../lite.ai.toolkit/bin/lite_nanodet_plus [ 99%] Linking CXX executable ../../lite.ai.toolkit/bin/lite_scrfd [ 99%] Built target lite_mg_matting [100%] Linking CXX executable ../../lite.ai.toolkit/bin/lite_yolo5face [100%] Built target lite_nanodet_plus [100%] Built target lite_scrfd [100%] Built target lite_yolo5face 哥，这是我的编译过程。。。

DefTruth commented 2 years ago

已经编译成功了啊，可以在build/lite.ai.toolkit/lib里面用 otool -L liblite.ai.toolkit.dylib 看一下依赖关系

chenjiachengzzz commented 2 years ago

已经编译成功了啊但是运行lite_yolov5报错。。

DefTruth commented 2 years ago

➜  lib git:(main) ✗ otool -L liblite.ai.toolkit.dylib
liblite.ai.toolkit.dylib:
    @rpath/liblite.ai.toolkit.0.1.0.dylib (compatibility version 0.1.0, current version 0.1.0)
    @rpath/libopencv_core.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
    @rpath/libopencv_imgproc.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
    @rpath/libopencv_imgcodecs.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
    @rpath/libopencv_video.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
    @rpath/libopencv_videoio.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
    @rpath/libonnxruntime.1.7.0.dylib (compatibility version 0.0.0, current version 1.7.0)
    /usr/local/opt/llvm/lib/libc++.1.dylib (compatibility version 1.0.0, current version 1.0.0)
    /usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 1252.250.1)

看看你的rpath有没有问题

chenjiachengzzz commented 2 years ago

已经编译成功了啊，可以在build/lite.ai.toolkit/lib里面用 otool -L liblite.ai.toolkit.dylib 看一下依赖关系

DefTruth commented 2 years ago

对啊，也没问题啊，咋运行lite_yolov5就出现问题了呢 ....我这边也是这样的

DefTruth commented 2 years ago

看一些lite_yolov5的rpath

➜  lib git:(main) ✗ cd ../bin
➜  bin git:(main) ✗ otool -L lite_yolov5
lite_yolov5:
    @rpath/liblite.ai.toolkit.0.1.0.dylib (compatibility version 0.1.0, current version 0.1.0)
    @rpath/libopencv_core.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
    @rpath/libopencv_imgproc.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
    @rpath/libopencv_imgcodecs.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
    @rpath/libopencv_video.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
    @rpath/libopencv_videoio.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
    @rpath/libonnxruntime.1.7.0.dylib (compatibility version 0.0.0, current version 1.7.0)
    /usr/local/opt/llvm/lib/libc++.1.dylib (compatibility version 1.0.0, current version 1.0.0)
    /usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 1252.250.1)

chenjiachengzzz commented 2 years ago

DefTruth commented 2 years ago

醉了，那不应该有问题啊，都是一样的

chenjiachengzzz commented 2 years ago

醉了，那不应该有问题啊，都是一样的

呜呜呜，是我太菜了。。

DefTruth commented 2 years ago

https://github.com/DefTruth/lite.ai.toolkit/releases/download/v0.1.0/lib.zip

不知道是不是环境不同的问题，确实是个bug，你把我预编译的完整的opencv库下载下来，解压后放在build/lite.ai.toolkit/lib 和 build/lite.ai.toolkit/bin ，再运行lite_yolov5应该就可以了

DefTruth commented 2 years ago

➜  lib git:(main) ✗ otool -L libopencv_video.4.5.dylib
libopencv_video.4.5.dylib:
    @rpath/libopencv_video.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
    @rpath/libopencv_dnn.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
    @rpath/libopencv_calib3d.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
    @rpath/libopencv_features2d.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
    @rpath/libopencv_flann.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
    @rpath/libopencv_imgproc.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
    @rpath/libopencv_core.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
    /usr/lib/libc++.1.dylib (compatibility version 1.0.0, current version 904.4.0)
    /usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 1292.60.1)
➜  lib git:(main) ✗ otool -L libopencv_videoio.4.5.dylib
libopencv_videoio.4.5.dylib:
    @rpath/libopencv_videoio.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
    @rpath/libopencv_imgcodecs.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
    @rpath/libopencv_imgproc.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
    @rpath/libopencv_core.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
    /usr/local/opt/ffmpeg/lib/libavcodec.58.dylib (compatibility version 58.0.0, current version 58.134.100)
    /usr/local/opt/ffmpeg/lib/libavformat.58.dylib (compatibility version 58.0.0, current version 58.76.100)
    /usr/local/opt/ffmpeg/lib/libavutil.56.dylib (compatibility version 56.0.0, current version 56.70.100)
    /usr/local/opt/ffmpeg/lib/libswscale.5.dylib (compatibility version 5.0.0, current version 5.9.100)
    /usr/local/opt/ffmpeg/lib/libavresample.4.dylib (compatibility version 4.0.0, current version 4.0.0)
    /System/Library/Frameworks/Cocoa.framework/Versions/A/Cocoa (compatibility version 1.0.0, current version 23.0.0)
    /System/Library/Frameworks/Accelerate.framework/Versions/A/Accelerate (compatibility version 1.0.0, current version 4.0.0)
    /System/Library/Frameworks/AVFoundation.framework/Versions/A/AVFoundation (compatibility version 1.0.0, current version 2.0.0)
    /System/Library/Frameworks/CoreGraphics.framework/Versions/A/CoreGraphics (compatibility version 64.0.0, current version 1463.2.1)
    /System/Library/Frameworks/CoreMedia.framework/Versions/A/CoreMedia (compatibility version 1.0.0, current version 1.0.0)
    /System/Library/Frameworks/CoreVideo.framework/Versions/A/CoreVideo (compatibility version 1.2.0, current version 1.5.0)
    /System/Library/Frameworks/QuartzCore.framework/Versions/A/QuartzCore (compatibility version 1.2.0, current version 1.11.0)
    /usr/lib/libc++.1.dylib (compatibility version 1.0.0, current version 904.4.0)
    /usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 1292.60.1)
    /System/Library/Frameworks/CoreFoundation.framework/Versions/A/CoreFoundation (compatibility version 150.0.0, current version 1770.255.0)
    /System/Library/Frameworks/Foundation.framework/Versions/C/Foundation (compatibility version 300.0.0, current version 1770.255.0)
    /usr/lib/libobjc.A.dylib (compatibility version 1.0.0, current version 228.0.0)

ffmpeg也要安装，不然可能也会有问题，通过 brew install ffmpeg 安装

chenjiachengzzz commented 2 years ago

➜  lib git:(main) ✗ otool -L libopencv_video.4.5.dylib
libopencv_video.4.5.dylib:
  @rpath/libopencv_video.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
  @rpath/libopencv_dnn.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
  @rpath/libopencv_calib3d.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
  @rpath/libopencv_features2d.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
  @rpath/libopencv_flann.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
  @rpath/libopencv_imgproc.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
  @rpath/libopencv_core.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
  /usr/lib/libc++.1.dylib (compatibility version 1.0.0, current version 904.4.0)
  /usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 1292.60.1)
➜  lib git:(main) ✗ otool -L libopencv_videoio.4.5.dylib
libopencv_videoio.4.5.dylib:
  @rpath/libopencv_videoio.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
  @rpath/libopencv_imgcodecs.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
  @rpath/libopencv_imgproc.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
  @rpath/libopencv_core.4.5.dylib (compatibility version 4.5.0, current version 4.5.2)
  /usr/local/opt/ffmpeg/lib/libavcodec.58.dylib (compatibility version 58.0.0, current version 58.134.100)
  /usr/local/opt/ffmpeg/lib/libavformat.58.dylib (compatibility version 58.0.0, current version 58.76.100)
  /usr/local/opt/ffmpeg/lib/libavutil.56.dylib (compatibility version 56.0.0, current version 56.70.100)
  /usr/local/opt/ffmpeg/lib/libswscale.5.dylib (compatibility version 5.0.0, current version 5.9.100)
  /usr/local/opt/ffmpeg/lib/libavresample.4.dylib (compatibility version 4.0.0, current version 4.0.0)
  /System/Library/Frameworks/Cocoa.framework/Versions/A/Cocoa (compatibility version 1.0.0, current version 23.0.0)
  /System/Library/Frameworks/Accelerate.framework/Versions/A/Accelerate (compatibility version 1.0.0, current version 4.0.0)
  /System/Library/Frameworks/AVFoundation.framework/Versions/A/AVFoundation (compatibility version 1.0.0, current version 2.0.0)
  /System/Library/Frameworks/CoreGraphics.framework/Versions/A/CoreGraphics (compatibility version 64.0.0, current version 1463.2.1)
  /System/Library/Frameworks/CoreMedia.framework/Versions/A/CoreMedia (compatibility version 1.0.0, current version 1.0.0)
  /System/Library/Frameworks/CoreVideo.framework/Versions/A/CoreVideo (compatibility version 1.2.0, current version 1.5.0)
  /System/Library/Frameworks/QuartzCore.framework/Versions/A/QuartzCore (compatibility version 1.2.0, current version 1.11.0)
  /usr/lib/libc++.1.dylib (compatibility version 1.0.0, current version 904.4.0)
  /usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 1292.60.1)
  /System/Library/Frameworks/CoreFoundation.framework/Versions/A/CoreFoundation (compatibility version 150.0.0, current version 1770.255.0)
  /System/Library/Frameworks/Foundation.framework/Versions/C/Foundation (compatibility version 300.0.0, current version 1770.255.0)
  /usr/lib/libobjc.A.dylib (compatibility version 1.0.0, current version 228.0.0)

ffmpeg也要安装，不然可能也会有问题，通过 brew install ffmpeg 安装

emm，ffmpeg的版本好像不一样，也会报错。。

DefTruth commented 2 years ago

是的，需要4.2.2的ffmpeg，homebrew现在更新到了最新的5.0版本，很多接口都变了。需要git clone低版本的源码来安装ffmpeg，并指定--prefix=/usr/local/opt/ffmpeg。可以看opencv的issue:

opencv-ffmpeg版本冲突

git clone --depth=1 https://git.ffmpeg.org/ffmpeg.git -b n4.2.2
cd ffmpeg
./configure --enable-shared --disable-x86asm --prefix=/usr/local/opt/ffmpeg --disable-static
make -j8
make install

DefTruth commented 2 years ago

预告一下：mac也正在弄一个连带ffmpeg打包的lite.ai.toolkit预编译库，这周末应该会放出来。最近ffmpeg升级大版本后（>4.4）,opencv原来的依赖ffmpeg的模块不再兼容了

chenjiachengzzz commented 2 years ago

是的，需要4.2.2的ffmpeg，homebrew现在更新到了最新的5.0版本，很多接口都变了。需要git clone低版本的源码来安装ffmpeg，并指定--prefix=/usr/local/opt/ffmpeg。可以看opencv的issue:

opencv-ffmpeg版本冲突
git clone --depth=1 https://git.ffmpeg.org/ffmpeg.git -b n4.2.2
cd ffmpeg
./configure --enable-shared --disable-x86asm --prefix=/usr/local/opt/ffmpeg --disable-static
make -j8
make install

按照这个编译以后，还是有问题qaq

DefTruth commented 2 years ago

我知道了，因为源码编的4.2.2 没有libavresample，但是之前通过brew安装的是有的，homebrew升级后同步了最新的ffmpeg又不兼容opencv. 所以会导致这些问题。你要不直接试一下lite.ai.toolkit的dev分支吧，我今天修复了这个兼容的问题。但还没合并，还需要检查一下。

    git clone --depth=1 https://github.com/DefTruth/lite.ai.toolkit.git  -b dev # dev分支代码
    cd lite.ai.toolkit && sh ./build.sh  # On MacOS, you can use the built OpenCV, ONNXRuntime, MNN, NCNN and TNN libs in this repo.

或者重新编译一下opencv，替换掉我原来的就可以了注意，你还需要安装ffmpeg(<=4.2.2)，因为opencv的videoio模块依赖ffmpeg进行mp4的编解码。参考issue#203 . 在Windows下，opencv官方团队已经提供了用于opencv的ffmpeg预编译库。在Linux/MacOS下编译opencv时，请确保-DWITH_FFMPEG=ON，并检查是否链接到ffmpeg.

先编译ffmpeg，注意必须是低版本的，高于4.4的，opencv会不兼容。

git clone --depth=1 https://git.ffmpeg.org/ffmpeg.git -b n4.2.2
cd ffmpeg
./configure --enable-shared --disable-x86asm --prefix=/usr/local/opt/ffmpeg --disable-static
make -j8
make install

然后，编译带ffmpeg支持的OpenCV，指定-DWITH_FFMPEG=ON

git clone --depth=1 https://github.com/opencv/opencv.git -b 4.5.2
cd opencv

编写build.sh (放在opencv源码根目录)
```
#!/bin/bash
```

mkdir build mkdir your-path-to-custom-dir cd build

cmake .. \ -D CMAKE_BUILD_TYPE=Release \ -D CMAKE_INSTALL_PREFIX=/User/xxx/xxx/opencv/your-path-to-custom-dir \ # 新建一个你自定义的目录，写绝对路径指向这个目录 -D BUILD_TESTS=OFF \ -D BUILD_PERF_TESTS=OFF \ -D BUILD_opencv_python3=OFF \ -D BUILD_opencv_python2=OFF \ -D BUILD_SHARED_LIBS=ON \ -D BUILD_opencv_apps=OFF \ -D WITH_FFMPEG=ON

make -j8 make install cd ..

运行编译
```shell
sh ./build.sh

编译完opencv后，直接替换新的dylib

DefTruth commented 2 years ago

@chenjiachengzzz 已经合并最新代码了，你用最新的试一下?

git clone --depth=1 https://github.com/DefTruth/lite.ai.toolkit.git  # latest
cd lite.ai.toolkit && sh ./build.sh  # On MacOS, you can use the built OpenCV, ONNXRuntime, MNN, NCNN and TNN libs in this repo.
cd build/lite.ai.toolkit/bin 
./lite_yolov5

更新信息请看：

204

chenjiachengzzz commented 2 years ago

@chenjiachengzzz 已经合并最新代码了，你用最新的试一下?
git clone --depth=1 https://github.com/DefTruth/lite.ai.toolkit.git  # latest
cd lite.ai.toolkit && sh ./build.sh  # On MacOS, you can use the built OpenCV, ONNXRuntime, MNN, NCNN and TNN libs in this repo.
cd build/lite.ai.toolkit/bin 
./lite_yolov5
更新信息请看：

fix(ffmpeg): package OSX ffmpeg4.2.2 into toolkit #204 哇哦，大哥辛苦了，可以跑通了！！

Richardlyq commented 2 years ago

"编译完opencv后，直接替换新的dylib"，请问大佬，这句话什么意思呀？

DefTruth / lite.ai.toolkit

Mac编译问题: ffmpeg依赖和opencv动态库 #203

References for Windows10 users

Search issues about windows

204