Comments (2)
@Kyuuki93 I assume this is because of the new commit I did two days ago. I updated the opencv2.framework with a fresh built so that it's pure static and compatible without problem for archiving.
However, the new opencv2.framework contains a file called opencv2
, which is around 130MB, way too large to fit a git commit. Therefore, I used git lfs to store big files, including all pb
models. I think this waring is because of cloning did not fetch the files stored in lfs hosting.
Check the following:
Also make sure that you are building target against an actual device instead of a simulator.
I will update the readme to include the content above.
Another workaround is that you can switch branch to 2-0-stable which should not have this problem, but potentially with issues of archiving (which you may not care).
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@Kyuuki93 I update the document for GIT LFS: https://github.com/KleinYuan/Caffe2-iOS#lfs-clone
Since this is implementing issue, I will close it and feel free to reopen it if you still meet this problem.
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Related Issues (20)
- The performance on the time consumption HOT 17
- #include "caffe2/proto/caffe2.pb.h" not found HOT 7
- Output for YOLO and LeNet HOT 2
- How to change the default compute mode from eigen to nnpack? HOT 6
- error: **/src/caffe2-ios/caffe2-ios/tinyYoloPredict.pb: No such file or directory HOT 2
- Compilation error for release HOT 2
- How to use other model? HOT 3
- Would this work for ios11? HOT 3
- Compile Error : linker command failed with exit code 1 HOT 3
- Apple Mach-O Linker Error HOT 4
- 'caffe2/core/predictor.h' file not found HOT 1
- #include "caffe2/proto/caffe2.pb.h" not found (version 2) HOT 1
- Apple Mach-O Linker Error
- How to build an image dataset for use in iOS HOT 3
- Build caffe2 failed when click the setup.sh
- Undefined symbols for architechure x86_64
- Use pytorch generated caffe2 iOS build
- Did you tested the performance of the model? Such as the time cost of the predict step? HOT 5
- Why is openCV used in here? HOT 2
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