将gstreamer YUV4:2:0 (I420)原始帧转换为OpenCV cv::Mat,可以通过以下步骤实现:
#include <gst/gst.h>
#include <opencv2/opencv.hpp>
gst_init(NULL, NULL);
GstElement *pipeline = gst_pipeline_new("pipeline");
GstElement *source = gst_element_factory_make("appsrc", "source");
GstElement *filter = gst_element_factory_make("capsfilter", "filter");
GstElement *sink = gst_element_factory_make("appsink", "sink");
g_object_set(G_OBJECT(filter), "caps", gst_caps_new_simple("video/x-raw",
"format", G_TYPE_STRING, "I420", NULL), NULL);
gst_bin_add_many(GST_BIN(pipeline), source, filter, sink, NULL);
gst_element_link_many(source, filter, sink, NULL);
cv::Mat frame;
GstFlowReturn new_sample(GstElement *sink, cv::Mat *frame) {
GstSample *sample = gst_app_sink_pull_sample(GST_APP_SINK(sink));
GstBuffer *buffer = gst_sample_get_buffer(sample);
GstMapInfo map;
gst_buffer_map(buffer, &map, GST_MAP_READ);
// 将YUV4:2:0帧数据转换为OpenCV的cv::Mat对象
cv::Mat yuv(map.height * 3 / 2, map.width, CV_8UC1, map.data);
cv::cvtColor(yuv, *frame, cv::COLOR_YUV2BGR_I420);
gst_buffer_unmap(buffer, &map);
gst_sample_unref(sample);
return GST_FLOW_OK;
}
g_signal_connect(sink, "new-sample", G_CALLBACK(new_sample), &frame);
gst_element_set_state(pipeline, GST_STATE_PLAYING);
while (true) {
// 在这里可以对frame进行进一步的处理,如图像处理、分析等
// 检查是否有按键输入,如果有则退出循环
if (cv::waitKey(1) != -1)
break;
}
12. 停止管道并释放资源:
```cpp
gst_element_set_state(pipeline, GST_STATE_NULL);
gst_object_unref(GST_OBJECT(pipeline));
这样,你就可以将gstreamer YUV4:2:0 (I420)原始帧转换为OpenCV cv::Mat对象了。在处理帧数据时,你可以根据需要进行各种图像处理、分析等操作。
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