PixelMap Data Processing (C/C++)

You will learn how to use native image APIs to process images.

How to Develop

Adding Dependencies

Open the src/main/cpp/CMakeLists.txt file of the native project, add libpixelmap_ndk.z.so (on which the native image APIs depend) and libhilog_ndk.z.so (on which the native log APIs depend) to the target_link_libraries dependency.

target_link_libraries(entry PUBLIC libace_napi.z.so libhilog_ndk.z.so libpixelmap_ndk.z.so)

Adding API Mappings

Open the src/main/cpp/hello.cpp file and add the following API mappings to the Init function:

EXTERN_C_START
static napi_value Init(napi_env env, napi_value exports)
{
    napi_property_descriptor desc[] = {
        { "createPixelMapTest", nullptr, CreatePixelMapTest, nullptr, nullptr, nullptr, napi_default, nullptr },
        { "createAlphaPixelMap", nullptr, CreateAlphaPixelMap, nullptr, nullptr, nullptr, napi_default, nullptr },
        { "transform", nullptr, Transform, nullptr, nullptr, nullptr, napi_default, nullptr },
    };

    napi_define_properties(env, exports, sizeof(desc) / sizeof(desc[0]), desc);
    return exports;
}
EXTERN_C_END

Calling the Native APIs

For details about the APIs, see Image API Reference.

Obtain the JS resource object from the hello.cpp file and convert it to a native resource object. Then you can call native APIs.

Adding Reference Files

#include <multimedia/image_framework/image_mdk_common.h>
#include <multimedia/image_framework/image_pixel_map_mdk.h>
#include <stdlib.h>
  1. Create a PixelMap object.
    napi_value CreatePixelMapTest(napi_env env, napi_callback_info info) {
        napi_value udfVar = nullptr;
        napi_value pixelMap = nullptr;
    
        struct OhosPixelMapCreateOps createOps;
        createOps.width = 4;
        createOps.height = 6;
        createOps.pixelFormat = 4;
        createOps.alphaType = 0;
        size_t bufferSize = createOps.width * createOps.height * 4;
        void *buff = malloc(bufferSize);
    
        char *cc = (char *)buff;
        for (int i = 0; i < 96; i++) {
            *(cc++) = (char)i;
        }
        int32_t res = OH_PixelMap_CreatePixelMap(env, createOps, (uint8_t *)buff, bufferSize, &pixelMap);
        if (res != IMAGE_RESULT_SUCCESS || pixelMap == nullptr) {
            return udfVar;
        }
        return pixelMap;
    }
    
  2. Create a PixelMap object that contains only alpha channel information.
    napi_value CreateAlphaPixelMap(napi_env env, napi_callback_info info) {
        napi_value udfVar = nullptr;
        napi_value thisVar = nullptr;
        napi_value argValue[1] = {0};
        size_t argCount = 1;
    
        napi_value alphaPixelMap = nullptr;
    
        napi_get_undefined(env, &udfVar);
    
        if (napi_get_cb_info(env, info, &argCount, argValue, &thisVar, nullptr) != napi_ok || argCount < 1 ||
            argValue[0] == nullptr) {
            return udfVar;
        }
        int32_t res = OH_PixelMap_CreateAlphaPixelMap(env, argValue[0], &alphaPixelMap);
        if (res != IMAGE_RESULT_SUCCESS || alphaPixelMap == nullptr) {
            return udfVar;
        }
        return alphaPixelMap;
    }
    
  3. Process the PixelMap object.
    napi_value Transform(napi_env env, napi_callback_info info) {
        napi_value thisVar = nullptr;
        napi_value argValue[1] = {0};
        size_t argCount = 1;
    
        if (napi_get_cb_info(env, info, &argCount, argValue, &thisVar, nullptr) != napi_ok || argCount < 1 ||
            argValue[0] == nullptr) {
            return nullptr;
        }
        napi_value result = nullptr;
        napi_get_undefined(env, &result);
        
        // Initialize the PixelMap object.
        NativePixelMap *native = OH_PixelMap_InitNativePixelMap(env, argValue[0]);
        if (native == nullptr) {
            return result;
        }
    
        // Obtain image information.
        struct OhosPixelMapInfos pixelMapInfo;
        OH_PixelMap_GetImageInfo(native, &pixelMapInfo);
    
        // Obtain the number of bytes per row of the PixelMap object.
        int32_t rowBytes;
        OH_PixelMap_GetBytesNumberPerRow(native, &rowBytes);
    
        // Check whether the PixelMap object is editable.
        int32_t editable = 0;
        OH_PixelMap_GetIsEditable(native, &editable);
    
        // Check whether the PixelMap object supports alpha channels.
        int32_t supportAlpha = 0;
        OH_PixelMap_IsSupportAlpha(native, &supportAlpha);
    
        // Set an alpha channel for the PixelMap object.
        int32_t alphaAble = 0;
        OH_PixelMap_SetAlphaAble(native, alphaAble);
    
        // Obtain the pixel density of the PixelMap object.
        int32_t densityG;
        OH_PixelMap_GetDensity(native, &densityG);
    
        // Set the pixel density for the PixelMap object.
        int32_t densityS = 100;
        OH_PixelMap_SetDensity(native, densityS);
    
        // Set the opacity for the PixelMap object.
        float opacity = 0.5;
        OH_PixelMap_SetOpacity(native, opacity);
    
        // Scale the image.
        // scaleX: The width of the image after scaling is 0.5 of the original width.
        // scaleY: The height of the image after scaling is 0.5 of the original height.
        float scaleX = 0.5;
        float scaleY = 0.5;
        OH_PixelMap_Scale(native, scaleX, scaleY);
    
        // Translate the image.
        // translateX: Translate the image by 50 units downwards.
        // translateY: Translate the image by 50 units rightwards.
        float translateX = 50;
        float translateY = 50;
        OH_PixelMap_Translate(native, translateX, translateY);
    
        // Rate the image clockwise by 90°.
        float angle = 90;
        OH_PixelMap_Rotate(native, angle);
    
        // Flip the image.
        // flipX: whether to flip the image horizontally. The value 1 means to flip the image and 0 means the opposite.
        // flipY: whether to flip the image vertically. The value 1 means to flip the image and 0 means the opposite.
        int32_t flipX = 0;
        int32_t flipY = 1;
        OH_PixelMap_Flip(native, flipX, flipY);
    
        // Crop the image.
        // cropX: x-axis coordinate of the start point for cropping.
        // cropY: y-axis coordinate of the start point for cropping.
        // cropH: height after cropping (10), cropping from top to bottom.
        // cropW: width after cropping (10), cropping from left to right.
        int32_t cropX = 1;
        int32_t cropY = 1;
        int32_t cropW = 10;
        int32_t cropH = 10;
        OH_PixelMap_Crop(native, cropX, cropY, cropW, cropH);
    
        // Obtain the memory address of the PixelMap object and lock the memory.
        void *pixelAddr = nullptr;
        OH_PixelMap_AccessPixels(native, &pixelAddr);
    
        // Unlock the memory of the PixelMap object.
        OH_PixelMap_UnAccessPixels(native);
    
        return result;
    }
    

Calling APIs on the JS Side

  1. Open src\main\cpp\types*libentry\index.d.ts* (where libentry varies according to the project name), and import the following files:

    import image from '@ohos.multimedia.image'
    
    export const createPixelMapTest: () => image.PixelMap;
    export const transform: (a: image.PixelMap) => image.PixelMap;
    
  2. Open src\main\ets\pages\index.ets, import libentry.so (where libentry varies according to the project name), call the native APIs, and pass in the JS resource object. The sample code is as follows:

    import testNapi from 'libentry.so'
    import image from '@ohos.multimedia.image'
    
    @Entry
    @Component
    struct Index {
    @State _pixelMap: image.PixelMap = undefined;
    
    build() {
        Row() {
            Column() {
                Button("PixelMap")
                .width(100)
                .height(100)
                .onClick(() => {
                    console.log("com.example.native_ndk_api10 button click in");
                    this._pixelMap = testNapi.createPixelMapTest();
                    testNapi.transform(this._pixelMap);
                })
                Image(this._pixelMap)
                .width(500)
                .height(500)
                .objectFit(ImageFit.Cover)
                .border({width: 1, color: Color.Blue})
                }
                .width('100%')
            }
            .height('100%')
        }
    }