Merge 22867551c1
into f15da632de
This commit is contained in:
commit
8fc06f0ea4
|
@ -237,6 +237,29 @@ cc_library(
|
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alwayslink = 1,
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)
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cc_library(
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name = "opencv_video_imshow_calculator",
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srcs = ["opencv_video_imshow_calculator.cc"],
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visibility = ["//visibility:public"],
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deps = [
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":opencv_video_encoder_calculator_cc_proto",
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"//mediapipe/framework:calculator_framework",
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"//mediapipe/framework/formats:image_frame",
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"//mediapipe/framework/formats:image_frame_opencv",
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"//mediapipe/framework/formats:video_stream_header",
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"//mediapipe/framework/port:file_helpers",
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"//mediapipe/framework/port:opencv_highgui",
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"//mediapipe/framework/port:opencv_imgproc",
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"//mediapipe/framework/port:opencv_video",
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"//mediapipe/framework/port:ret_check",
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"//mediapipe/framework/port:source_location",
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"//mediapipe/framework/port:status",
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"//mediapipe/framework/tool:status_util",
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"@com_google_absl//absl/strings",
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],
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alwayslink = 1,
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)
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cc_library(
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name = "tvl1_optical_flow_calculator",
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srcs = ["tvl1_optical_flow_calculator.cc"],
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|
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|
@ -106,15 +106,17 @@ class OpenCvVideoDecoderCalculator : public CalculatorBase {
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return ::mediapipe::InvalidArgumentErrorBuilder(MEDIAPIPE_LOC)
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<< "Fail to open video file at " << input_file_path;
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}
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width_ = static_cast<int>(cap_->get(cv::CAP_PROP_FRAME_WIDTH));
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height_ = static_cast<int>(cap_->get(cv::CAP_PROP_FRAME_HEIGHT));
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double fps = static_cast<double>(cap_->get(cv::CAP_PROP_FPS));
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frame_count_ = static_cast<int>(cap_->get(cv::CAP_PROP_FRAME_COUNT));
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// Unfortunately, cap_->get(cv::CAP_PROP_FORMAT) always returns CV_8UC1
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// back. To get correct image format, we read the first frame from the video
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// and get the number of channels.
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cv::Mat frame;
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cap_->read(frame);
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width_ = static_cast<int>(cap_->get(cv::CAP_PROP_FRAME_WIDTH));
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height_ = static_cast<int>(cap_->get(cv::CAP_PROP_FRAME_HEIGHT));
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double fps = static_cast<double>(cap_->get(cv::CAP_PROP_FPS));
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frame_count_ = static_cast<int>(cap_->get(cv::CAP_PROP_FRAME_COUNT));
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if (frame.empty()) {
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return ::mediapipe::InvalidArgumentErrorBuilder(MEDIAPIPE_LOC)
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<< "Fail to read any frames from the video file at "
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|
@ -127,11 +129,16 @@ class OpenCvVideoDecoderCalculator : public CalculatorBase {
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<< input_file_path;
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}
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if (fps <= 0 || frame_count_ <= 0 || width_ <= 0 || height_ <= 0) {
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if (fps <= 0 || frame_count_ == 0 || width_ <= 0 || height_ <= 0) {
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return ::mediapipe::InvalidArgumentErrorBuilder(MEDIAPIPE_LOC)
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<< "Fail to make video header due to the incorrect metadata from "
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"the video file at "
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<< input_file_path;
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<< input_file_path
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<< ", format:" << format_
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<< ", fps:" << fps
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<< ", frame count:" << frame_count_
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<< ", width:" << width_
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<< ", height:" << height_;
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}
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auto header = absl::make_unique<VideoHeader>();
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header->format = format_;
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|
|
168
mediapipe/calculators/video/opencv_video_imshow_calculator.cc
Normal file
168
mediapipe/calculators/video/opencv_video_imshow_calculator.cc
Normal file
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@ -0,0 +1,168 @@
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// Copyright 2019 The MediaPipe Authors.
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//
|
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// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
|
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// Unless required by applicable law or agreed to in writing, software
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||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
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#include <memory>
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#include <string>
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#include <vector>
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#include "absl/strings/str_split.h"
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#include "mediapipe/calculators/video/opencv_video_encoder_calculator.pb.h"
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#include "mediapipe/framework/calculator_framework.h"
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#include "mediapipe/framework/formats/image_frame.h"
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#include "mediapipe/framework/formats/image_frame_opencv.h"
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#include "mediapipe/framework/formats/video_stream_header.h"
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#include "mediapipe/framework/port/file_helpers.h"
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#include "mediapipe/framework/port/opencv_highgui_inc.h"
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#include "mediapipe/framework/port/opencv_imgproc_inc.h"
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#include "mediapipe/framework/port/opencv_video_inc.h"
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#include "mediapipe/framework/port/ret_check.h"
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#include "mediapipe/framework/port/source_location.h"
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#include "mediapipe/framework/port/status.h"
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#include "mediapipe/framework/port/status_builder.h"
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#include "mediapipe/framework/tool/status_util.h"
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namespace mediapipe {
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// Encodes the input video stream and produces a media file.
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// The media file can be output to the output_file_path specified as a side
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// packet. Currently, the calculator only supports one video stream (in
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// mediapipe::ImageFrame).
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//
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// Example config to generate the output video file:
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//
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// node {
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// calculator: "OpenCvVideoImShowCalculator"
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// input_stream: "VIDEO:video"
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// input_stream: "VIDEO_PRESTREAM:video_header"
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// input_side_packet: "OUTPUT_FILE_PATH:output_file_path"
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// node_options {
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// [type.googleapis.com/mediapipe.OpenCvVideoImShowCalculatorOptions]: {
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// codec: "avc1"
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// video_format: "mp4"
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// }
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// }
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// }
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class OpenCvVideoImShowCalculator : public CalculatorBase {
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public:
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static ::mediapipe::Status GetContract(CalculatorContract* cc);
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::mediapipe::Status Open(CalculatorContext* cc) override;
|
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::mediapipe::Status Process(CalculatorContext* cc) override;
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::mediapipe::Status Close(CalculatorContext* cc) override;
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private:
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::mediapipe::Status SetUpVideoWriter();
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std::string output_file_path_;
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int four_cc_;
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std::unique_ptr<cv::VideoWriter> writer_;
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};
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::mediapipe::Status OpenCvVideoImShowCalculator::GetContract(
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CalculatorContract* cc) {
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RET_CHECK(cc->Inputs().HasTag("VIDEO"));
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cc->Inputs().Tag("VIDEO").Set<ImageFrame>();
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if (cc->Inputs().HasTag("VIDEO_PRESTREAM")) {
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cc->Inputs().Tag("VIDEO_PRESTREAM").Set<VideoHeader>();
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}
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//RET_CHECK(cc->InputSidePackets().HasTag("OUTPUT_FILE_PATH"));
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//cc->InputSidePackets().Tag("OUTPUT_FILE_PATH").Set<std::string>();
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return ::mediapipe::OkStatus();
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}
|
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||||
::mediapipe::Status OpenCvVideoImShowCalculator::Open(CalculatorContext* cc) {
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OpenCvVideoEncoderCalculatorOptions options =
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cc->Options<OpenCvVideoEncoderCalculatorOptions>();
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||||
RET_CHECK(options.has_codec() && options.codec().length() == 4)
|
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<< "A 4-character codec code must be specified in "
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"OpenCvVideoEncoderCalculatorOptions";
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const char* codec_array = options.codec().c_str();
|
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four_cc_ = mediapipe::fourcc(codec_array[0], codec_array[1], codec_array[2],
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codec_array[3]);
|
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RET_CHECK(!options.video_format().empty())
|
||||
<< "Video format must be specified in "
|
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"OpenCvVideoEncoderCalculatorOptions";
|
||||
/* output_file_path_ =
|
||||
cc->InputSidePackets().Tag("OUTPUT_FILE_PATH").Get<std::string>();
|
||||
std::vector<std::string> splited_file_path =
|
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absl::StrSplit(output_file_path_, '.');
|
||||
RET_CHECK(splited_file_path.size() >= 2 &&
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||||
splited_file_path[splited_file_path.size() - 1] ==
|
||||
options.video_format())
|
||||
<< "The output file path is invalid.";*/
|
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// If the video header will be available, the video metadata will be fetched
|
||||
// from the video header directly. The calculator will receive the video
|
||||
// header packet at timestamp prestream.
|
||||
if (cc->Inputs().HasTag("VIDEO_PRESTREAM")) {
|
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return ::mediapipe::OkStatus();
|
||||
}
|
||||
return SetUpVideoWriter();
|
||||
}
|
||||
|
||||
::mediapipe::Status OpenCvVideoImShowCalculator::Process(
|
||||
CalculatorContext* cc) {
|
||||
if (cc->InputTimestamp() == Timestamp::PreStream()) {
|
||||
//const VideoHeader& video_header =
|
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// cc->Inputs().Tag("VIDEO_PRESTREAM").Get<VideoHeader>();
|
||||
return SetUpVideoWriter();
|
||||
}
|
||||
|
||||
const ImageFrame& image_frame =
|
||||
cc->Inputs().Tag("VIDEO").Value().Get<ImageFrame>();
|
||||
ImageFormat::Format format = image_frame.Format();
|
||||
cv::Mat frame;
|
||||
if (format == ImageFormat::GRAY8) {
|
||||
frame = formats::MatView(&image_frame);
|
||||
if (frame.empty()) {
|
||||
return ::mediapipe::InvalidArgumentErrorBuilder(MEDIAPIPE_LOC)
|
||||
<< "Receive empty frame at timestamp "
|
||||
<< cc->Inputs().Tag("VIDEO").Value().Timestamp()
|
||||
<< " in OpenCvVideoImShowCalculator::Process()";
|
||||
}
|
||||
} else {
|
||||
cv::Mat tmp_frame = formats::MatView(&image_frame);
|
||||
if (tmp_frame.empty()) {
|
||||
return ::mediapipe::InvalidArgumentErrorBuilder(MEDIAPIPE_LOC)
|
||||
<< "Receive empty frame at timestamp "
|
||||
<< cc->Inputs().Tag("VIDEO").Value().Timestamp()
|
||||
<< " in OpenCvVideoImShowCalculator::Process()";
|
||||
}
|
||||
if (format == ImageFormat::SRGB) {
|
||||
cv::cvtColor(tmp_frame, frame, cv::COLOR_RGB2BGR);
|
||||
} else if (format == ImageFormat::SRGBA) {
|
||||
cv::cvtColor(tmp_frame, frame, cv::COLOR_RGBA2BGR);
|
||||
} else {
|
||||
return ::mediapipe::InvalidArgumentErrorBuilder(MEDIAPIPE_LOC)
|
||||
<< "Unsupported image format: " << format;
|
||||
}
|
||||
}
|
||||
cv::imshow("MediaPipe",frame);
|
||||
cv::waitKey(25);
|
||||
|
||||
return ::mediapipe::OkStatus();
|
||||
}
|
||||
|
||||
::mediapipe::Status OpenCvVideoImShowCalculator::Close(CalculatorContext* cc) {
|
||||
//cv::destroyAllWindows();
|
||||
return ::mediapipe::OkStatus();
|
||||
}
|
||||
|
||||
::mediapipe::Status OpenCvVideoImShowCalculator::SetUpVideoWriter() {
|
||||
|
||||
cv::namedWindow("MediaPipe",cv::WINDOW_GUI_EXPANDED);
|
||||
return ::mediapipe::OkStatus();
|
||||
}
|
||||
|
||||
REGISTER_CALCULATOR(OpenCvVideoImShowCalculator);
|
||||
} // namespace mediapipe
|
27
mediapipe/examples/desktop/simpleIO/BUILD
Normal file
27
mediapipe/examples/desktop/simpleIO/BUILD
Normal file
|
@ -0,0 +1,27 @@
|
|||
# Copyright 2019 The MediaPipe Authors.
|
||||
#
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at
|
||||
#
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
|
||||
licenses(["notice"]) # Apache 2.0
|
||||
|
||||
package(default_visibility = ["//mediapipe/examples:__subpackages__"])
|
||||
|
||||
|
||||
|
||||
cc_binary(
|
||||
name = "simple_io_tflite",
|
||||
deps = [
|
||||
"//mediapipe/examples/desktop:simple_run_graph_main",
|
||||
"//mediapipe/graphs/simple_io:desktop_tflite_calculators",
|
||||
],
|
||||
)
|
33
mediapipe/examples/desktop/simpleIO/README.md
Normal file
33
mediapipe/examples/desktop/simpleIO/README.md
Normal file
|
@ -0,0 +1,33 @@
|
|||
|
||||
|
||||
$ bazel build -c opt --define MEDIAPIPE_DISABLE_GPU=1 \
|
||||
mediapipe/examples/desktop/simpleIO:simple_io_tflite
|
||||
|
||||
# It should print:
|
||||
# Target //mediapipe/examples/desktop/simpleIO:simple_io_tflite up-to-date:
|
||||
# bazel-bin/mediapipe/examples/desktop/simpleIO/simple_io_tflite
|
||||
# INFO: Elapsed time: 36.417s, Critical Path: 23.22s
|
||||
# INFO: 711 processes: 710 linux-sandbox, 1 local.
|
||||
# INFO: Build completed successfully, 734 total actions
|
||||
|
||||
$ export GLOG_logtostderr=1
|
||||
|
||||
# INPUT= file, OUTPUT=file
|
||||
# Replace <input video path> and <output video path>.
|
||||
# You can find a test video in mediapipe/examples/desktop/simpleIO.
|
||||
$ bazel-bin/mediapipe/examples/desktop/simpleIO/simple_io_tflite \
|
||||
--calculator_graph_config_file=mediapipe/graphs/simple_io/simple_io_graph.pbtxt \
|
||||
--input_side_packets=input_video_path=./mediapipe/examples/desktop/simpleIO/test_video.mp4,output_video_path=./mediapipe/examples/desktop/simpleIO/output_video.mp4
|
||||
|
||||
# INPUT= file, OUTPUT=screen
|
||||
|
||||
$ bazel-bin/mediapipe/examples/desktop/simpleIO/simple_io_tflite \
|
||||
--calculator_graph_config_file=mediapipe/graphs/simple_io/simple_media_to_screen_graph.pbtxt \
|
||||
--input_side_packets=input_video_path=./mediapipe/examples/desktop/simpleIO/test_video.mp4
|
||||
|
||||
|
||||
# INPUT= Stream , OUTPUT=screen
|
||||
|
||||
$ bazel-bin/mediapipe/examples/desktop/simpleIO/simple_io_tflite \
|
||||
--calculator_graph_config_file=mediapipe/graphs/simple_io/simple_media_to_screen_graph.pbtxt \
|
||||
--input_side_packets=input_video_path=rtp://0.0.0.0:5000
|
70
mediapipe/examples/desktop/simpleIO/simple_run_graph_main.cc
Normal file
70
mediapipe/examples/desktop/simpleIO/simple_run_graph_main.cc
Normal file
|
@ -0,0 +1,70 @@
|
|||
// Copyright 2019 The MediaPipe Authors.
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
//
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
//
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
//
|
||||
// A simple main function to run a MediaPipe graph.
|
||||
|
||||
#include "absl/strings/str_split.h"
|
||||
#include "mediapipe/framework/calculator_framework.h"
|
||||
#include "mediapipe/framework/port/commandlineflags.h"
|
||||
#include "mediapipe/framework/port/file_helpers.h"
|
||||
#include "mediapipe/framework/port/map_util.h"
|
||||
#include "mediapipe/framework/port/parse_text_proto.h"
|
||||
#include "mediapipe/framework/port/status.h"
|
||||
|
||||
DEFINE_string(
|
||||
calculator_graph_config_file, "",
|
||||
"Name of file containing text format CalculatorGraphConfig proto.");
|
||||
|
||||
DEFINE_string(input_side_packets, "",
|
||||
"Comma-separated list of key=value pairs specifying side packets "
|
||||
"for the CalculatorGraph. All values will be treated as the "
|
||||
"string type even if they represent doubles, floats, etc.");
|
||||
|
||||
::mediapipe::Status RunMPPGraph() {
|
||||
std::string calculator_graph_config_contents;
|
||||
RETURN_IF_ERROR(mediapipe::file::GetContents(
|
||||
FLAGS_calculator_graph_config_file, &calculator_graph_config_contents));
|
||||
LOG(INFO) << "Get calculator graph config contents: "
|
||||
<< calculator_graph_config_contents;
|
||||
mediapipe::CalculatorGraphConfig config =
|
||||
mediapipe::ParseTextProtoOrDie<mediapipe::CalculatorGraphConfig>(
|
||||
calculator_graph_config_contents);
|
||||
std::map<std::string, ::mediapipe::Packet> input_side_packets;
|
||||
std::vector<std::string> kv_pairs =
|
||||
absl::StrSplit(FLAGS_input_side_packets, ',');
|
||||
for (const std::string& kv_pair : kv_pairs) {
|
||||
std::vector<std::string> name_and_value = absl::StrSplit(kv_pair, '=');
|
||||
RET_CHECK(name_and_value.size() == 2);
|
||||
RET_CHECK(!::mediapipe::ContainsKey(input_side_packets, name_and_value[0]));
|
||||
input_side_packets[name_and_value[0]] =
|
||||
::mediapipe::MakePacket<std::string>(name_and_value[1]);
|
||||
}
|
||||
LOG(INFO) << "Initialize the calculator graph.";
|
||||
mediapipe::CalculatorGraph graph;
|
||||
RETURN_IF_ERROR(graph.Initialize(config, input_side_packets));
|
||||
LOG(INFO) << "Start running the calculator graph.";
|
||||
return graph.Run();
|
||||
}
|
||||
|
||||
int main(int argc, char** argv) {
|
||||
google::InitGoogleLogging(argv[0]);
|
||||
gflags::ParseCommandLineFlags(&argc, &argv, true);
|
||||
::mediapipe::Status run_status = RunMPPGraph();
|
||||
if (!run_status.ok()) {
|
||||
LOG(ERROR) << "Failed to run the graph: " << run_status.message();
|
||||
} else {
|
||||
LOG(INFO) << "Success!";
|
||||
}
|
||||
return 0;
|
||||
}
|
|
@ -50,6 +50,7 @@ cc_library(
|
|||
"//mediapipe/calculators/util:non_max_suppression_calculator",
|
||||
"//mediapipe/calculators/video:opencv_video_decoder_calculator",
|
||||
"//mediapipe/calculators/video:opencv_video_encoder_calculator",
|
||||
"//mediapipe/calculators/video:opencv_video_imshow_calculator",
|
||||
],
|
||||
)
|
||||
|
||||
|
@ -71,6 +72,7 @@ cc_library(
|
|||
"//mediapipe/calculators/util:non_max_suppression_calculator",
|
||||
"//mediapipe/calculators/video:opencv_video_decoder_calculator",
|
||||
"//mediapipe/calculators/video:opencv_video_encoder_calculator",
|
||||
"//mediapipe/calculators/video:opencv_video_imshow_calculator",
|
||||
],
|
||||
)
|
||||
|
||||
|
|
2
mediapipe/graphs/object_detection/object_detection_desktop_tflite_graph.pbtxt
Normal file → Executable file
2
mediapipe/graphs/object_detection/object_detection_desktop_tflite_graph.pbtxt
Normal file → Executable file
|
@ -151,7 +151,7 @@ node {
|
|||
node_options: {
|
||||
[type.googleapis.com/mediapipe.DetectionsToRenderDataCalculatorOptions] {
|
||||
thickness: 4.0
|
||||
color { r: 255 g: 0 b: 0 }
|
||||
color { r: 0 g: 255 b: 0 }
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
92
mediapipe/graphs/simple_io/BUILD
Normal file
92
mediapipe/graphs/simple_io/BUILD
Normal file
|
@ -0,0 +1,92 @@
|
|||
# Copyright 2019 The MediaPipe Authors.
|
||||
#
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at
|
||||
#
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
|
||||
licenses(["notice"]) # Apache 2.0
|
||||
|
||||
package(default_visibility = ["//visibility:public"])
|
||||
|
||||
cc_library(
|
||||
name = "mobile_calculators",
|
||||
deps = [
|
||||
"//mediapipe/calculators/core:flow_limiter_calculator",
|
||||
"//mediapipe/calculators/image:image_transformation_calculator",
|
||||
"//mediapipe/calculators/tflite:ssd_anchors_calculator",
|
||||
"//mediapipe/calculators/tflite:tflite_converter_calculator",
|
||||
"//mediapipe/calculators/tflite:tflite_inference_calculator",
|
||||
"//mediapipe/calculators/tflite:tflite_tensors_to_detections_calculator",
|
||||
"//mediapipe/calculators/util:annotation_overlay_calculator",
|
||||
"//mediapipe/calculators/util:detection_label_id_to_text_calculator",
|
||||
"//mediapipe/calculators/util:detection_letterbox_removal_calculator",
|
||||
"//mediapipe/calculators/util:detections_to_render_data_calculator",
|
||||
"//mediapipe/calculators/util:non_max_suppression_calculator",
|
||||
"//mediapipe/gpu:gpu_buffer_to_image_frame_calculator",
|
||||
"//mediapipe/gpu:image_frame_to_gpu_buffer_calculator",
|
||||
],
|
||||
)
|
||||
|
||||
cc_library(
|
||||
name = "desktop_tensorflow_calculators",
|
||||
deps = [
|
||||
"//mediapipe/calculators/tensorflow:image_frame_to_tensor_calculator",
|
||||
"//mediapipe/calculators/tensorflow:lapped_tensor_buffer_calculator",
|
||||
"//mediapipe/calculators/tensorflow:object_detection_tensors_to_detections_calculator",
|
||||
"//mediapipe/calculators/tensorflow:tensor_squeeze_dimensions_calculator",
|
||||
"//mediapipe/calculators/tensorflow:tensorflow_inference_calculator",
|
||||
"//mediapipe/calculators/tensorflow:tensorflow_session_from_saved_model_calculator",
|
||||
"//mediapipe/calculators/util:annotation_overlay_calculator",
|
||||
"//mediapipe/calculators/util:detection_label_id_to_text_calculator",
|
||||
"//mediapipe/calculators/util:detections_to_render_data_calculator",
|
||||
"//mediapipe/calculators/util:non_max_suppression_calculator",
|
||||
"//mediapipe/calculators/video:opencv_video_decoder_calculator",
|
||||
"//mediapipe/calculators/video:opencv_video_encoder_calculator",
|
||||
"//mediapipe/calculators/video:opencv_video_imshow_calculator",
|
||||
],
|
||||
)
|
||||
|
||||
cc_library(
|
||||
name = "desktop_tflite_calculators",
|
||||
deps = [
|
||||
"//mediapipe/calculators/image:image_transformation_calculator",
|
||||
"//mediapipe/calculators/tflite:ssd_anchors_calculator",
|
||||
"//mediapipe/calculators/tflite:tflite_converter_calculator",
|
||||
"//mediapipe/calculators/tflite:tflite_inference_calculator",
|
||||
"//mediapipe/calculators/tflite:tflite_tensors_to_detections_calculator",
|
||||
"//mediapipe/calculators/util:annotation_overlay_calculator",
|
||||
"//mediapipe/calculators/util:detection_label_id_to_text_calculator",
|
||||
"//mediapipe/calculators/util:detections_to_render_data_calculator",
|
||||
"//mediapipe/calculators/util:non_max_suppression_calculator",
|
||||
"//mediapipe/calculators/video:opencv_video_decoder_calculator",
|
||||
"//mediapipe/calculators/video:opencv_video_encoder_calculator",
|
||||
"//mediapipe/calculators/video:opencv_video_imshow_calculator",
|
||||
],
|
||||
)
|
||||
|
||||
load(
|
||||
"//mediapipe/framework/tool:mediapipe_graph.bzl",
|
||||
"mediapipe_binary_graph",
|
||||
)
|
||||
|
||||
mediapipe_binary_graph(
|
||||
name = "mobile_cpu_binary_graph",
|
||||
graph = "object_detection_mobile_cpu.pbtxt",
|
||||
output_name = "mobile_cpu.binarypb",
|
||||
deps = [":mobile_calculators"],
|
||||
)
|
||||
|
||||
mediapipe_binary_graph(
|
||||
name = "mobile_gpu_binary_graph",
|
||||
graph = "object_detection_mobile_gpu.pbtxt",
|
||||
output_name = "mobile_gpu.binarypb",
|
||||
deps = [":mobile_calculators"],
|
||||
)
|
27
mediapipe/graphs/simple_io/simple_io_graph.pbtxt
Normal file
27
mediapipe/graphs/simple_io/simple_io_graph.pbtxt
Normal file
|
@ -0,0 +1,27 @@
|
|||
# MediaPipe graph, simple input and output video
|
||||
# on CPU.
|
||||
# Used in the example in
|
||||
# mediapipie/examples/desktop/object_detection:object_detection_tensorflow.
|
||||
|
||||
# Decodes an input video file into images and a video header.
|
||||
node {
|
||||
calculator: "OpenCvVideoDecoderCalculator"
|
||||
input_side_packet: "INPUT_FILE_PATH:input_video_path"
|
||||
output_stream: "VIDEO:input_video"
|
||||
output_stream: "VIDEO_PRESTREAM:input_video_header"
|
||||
}
|
||||
|
||||
# Encodes the annotated images into a video file, adopting properties specified
|
||||
# in the input video header, e.g., video framerate.
|
||||
node {
|
||||
calculator: "OpenCvVideoEncoderCalculator"
|
||||
input_stream: "VIDEO:input_video"
|
||||
input_stream: "VIDEO_PRESTREAM:input_video_header"
|
||||
input_side_packet: "OUTPUT_FILE_PATH:output_video_path"
|
||||
node_options: {
|
||||
[type.googleapis.com/mediapipe.OpenCvVideoEncoderCalculatorOptions]: {
|
||||
codec: "avc1"
|
||||
video_format: "mp4"
|
||||
}
|
||||
}
|
||||
}
|
|
@ -0,0 +1,26 @@
|
|||
# MediaPipe graph, simple input and output video
|
||||
# on CPU.
|
||||
# Used in the example in
|
||||
# mediapipie/examples/desktop/object_detection:object_detection_tensorflow.
|
||||
|
||||
# Decodes an input video file into images and a video header.
|
||||
node {
|
||||
calculator: "OpenCvVideoDecoderCalculator"
|
||||
input_side_packet: "INPUT_FILE_PATH:input_video_path"
|
||||
output_stream: "VIDEO:input_video"
|
||||
output_stream: "VIDEO_PRESTREAM:input_video_header"
|
||||
}
|
||||
|
||||
# Encodes the annotated images into a video file, adopting properties specified
|
||||
# in the input video header, e.g., video framerate.
|
||||
node {
|
||||
calculator: "OpenCvVideoImShowCalculator"
|
||||
input_stream: "VIDEO:input_video"
|
||||
input_stream: "VIDEO_PRESTREAM:input_video_header"
|
||||
node_options: {
|
||||
[type.googleapis.com/mediapipe.OpenCvVideoEncoderCalculatorOptions]: {
|
||||
codec: "avc1"
|
||||
video_format: "mp4"
|
||||
}
|
||||
}
|
||||
}
|
Loading…
Reference in New Issue
Block a user