9.[Source Directory does not Contain CMakeLists.txt (Windows)](#source-directory-does-not-contain-cmakelists.txt-windows)
9.[Source Directory does not Contain CMakeLists.txt (Windows)](#source-directory-does-not-contain-cmakeliststxt-windows)
10.[How Should I Link my IP Camera?](#how-should-i-link-my-ip-camera)
11.[Difference between BODY_25 vs. COCO vs. MPI](#difference-between-body_25-vs.-coco-vs.-mpi)
11.[Difference between BODY_25 vs. COCO vs. MPI](#difference-between-body_25-vs-coco-vs-mpi)
12.[How to Measure the Latency Time?](#how-to-measure-the-latency-time)
13.[Zero People Detected](#zero-people-detected)
14.[Check Failed for ReadProtoFromBinaryFile (Failed to Parse NetParameter File)](#check-failed-for-readprotofrombinaryfile-failed-to-parse-netparameter-file)
**A**: Make sure to download and install CMake-GUI following the [doc/prerequisites.md](./prerequisites.md) section. This is a known problem with CMake-GUI versions from 3.8 to 3.11 (unfortunately, default Ubuntu 18 CMake-GUI uses 3.10). You will need a CMake version >= 3.12.
### CMake-GUI Error While Getting Default Caffe
**Q**: It seems to me CMake-gui does not download Caffe at all. I tried to wipe everything and try to install OpenPose again, but received the same mistake. I also tried to see if cmake follows the ifs in the CMakeLists.txt correctly and reaches the branches where he establishes that Caffe needs to be downloaded and it seems to me it does so.
**A**: There are 2 solutions to try. First, if you were using an old OP version and you just updated it, you should simply completely remove that OpenPose folder, and then re-download and re-compile OpenPose. Second, and only if after re-cloning master and running CMake-GUI the `3rdparty/caffe/` folder stays empty, manually trigger the git submodules to update. So the clone step becomes:
@@ -6,16 +6,16 @@ In case of hand camera views at which the hands are visible but not the rest of
## OpenCV-based Face Keypoint Detector
Note that this method will be faster than the current system if there is few people in the image, but it is also much less accurate (OpenCV face detector only works with big and frontal faces, while OpenPose works with more scales and face rotations).
## Custom Standalone Face or Hand Keypoint Detector
Check the examples in `examples/tutorial_api_cpp/`, in particular [examples/tutorial_api_cpp/06_face_from_image.cpp](https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/master/examples/tutorial_api_cpp/06_face_from_image.cpp) and [examples/tutorial_api_cpp/07_hand_from_image.cpp](https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/master/examples/tutorial_api_cpp/07_hand_from_image.cpp). The provide examples of face and/or hand keypoint detection given a known bounding box or rectangle for the face and/or hand locations. These examples are equivalent to use the following flags:
