feat: 切换后端至PaddleOCR-NCNN,切换工程为CMake
1.项目后端整体迁移至PaddleOCR-NCNN算法,已通过基本的兼容性测试 2.工程改为使用CMake组织,后续为了更好地兼容第三方库,不再提供QMake工程 3.重整权利声明文件,重整代码工程,确保最小化侵权风险 Log: 切换后端至PaddleOCR-NCNN,切换工程为CMake Change-Id: I4d5d2c5d37505a4a24b389b1a4c5d12f17bfa38c
This commit is contained in:
13
3rdparty/opencv-4.5.4/samples/java/sbt/README
vendored
Normal file
13
3rdparty/opencv-4.5.4/samples/java/sbt/README
vendored
Normal file
@ -0,0 +1,13 @@
|
||||
A demo of the Java wrapper for OpenCV with two examples:
|
||||
1) feature detection and matching and
|
||||
2) face detection.
|
||||
The examples are coded in Scala and Java.
|
||||
Anyone familiar with Java should be able to read the Scala examples.
|
||||
Please feel free to contribute code examples in Scala or Java, or any JVM language.
|
||||
|
||||
To run the examples:
|
||||
1) Install OpenCV and copy the OpenCV jar to lib/.
|
||||
This jar must match the native libraries installed in your system.
|
||||
If this isn't the case, you may get a java.lang.UnsatisfiedLinkError at runtime.
|
||||
2) Go to the root directory and type "sbt/sbt run".
|
||||
This should generate images in your current directory.
|
Reference in New Issue
Block a user