pytorch/caffe2/video/video_io.h

52 lines
1.3 KiB
C++

#ifndef CAFFE2_VIDEO_VIDEO_IO_H_
#define CAFFE2_VIDEO_VIDEO_IO_H_
#include <caffe2/core/common.h>
#include <caffe2/video/optical_flow.h>
#include <caffe2/video/video_decoder.h>
#include <opencv2/opencv.hpp>
#include <random>
#include <istream>
#include <ostream>
namespace caffe2 {
TORCH_API void ClipTransformRGB(
const unsigned char* buffer_rgb,
const int crop_size,
const int length_rgb,
const int channels_rgb,
const int sampling_rate_rgb,
const int height,
const int width,
const int h_off,
const int w_off,
const bool mirror_me,
const std::vector<float>& mean_rgb,
const std::vector<float>& inv_std_rgb,
float* transformed_clip);
TORCH_API void ClipTransformOpticalFlow(
const unsigned char* buffer_rgb,
const int crop_size,
const int length_of,
const int channels_of,
const int sampling_rate_of,
const int height,
const int width,
const cv::Rect& rect,
const int channels_rgb,
const bool mirror_me,
const int flow_alg_type,
const int flow_data_type,
const int frame_gap_of,
const bool do_flow_aggregation,
const std::vector<float>& mean_of,
const std::vector<float>& inv_std_of,
float* transformed_clip);
} // namespace caffe2
#endif // CAFFE2_VIDEO_VIDEO_IO_H_