arpadboda commented on a change in pull request #627: MINIFICPP-989 - Motion detect for a set of captured frames URL: https://github.com/apache/nifi-minifi-cpp/pull/627#discussion_r321369682
########## File path: extensions/opencv/MotionDetector.cpp ########## @@ -0,0 +1,222 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one or more + * contributor license agreements. See the NOTICE file distributed with + * this work for additional information regarding copyright ownership. + * The ASF licenses this file to You 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. + */ + +#include "MotionDetector.h" + +namespace org { +namespace apache { +namespace nifi { +namespace minifi { +namespace processors { + +core::Property MotionDetector::ImageEncoding( + core::PropertyBuilder::createProperty("Image Encoding") + ->withDescription("The encoding that should be applied the the frame images captured from the RTSP stream") + ->isRequired(true) + ->withAllowableValues<std::string>({".jpg", ".png"}) + ->withDefaultValue(".jpg")->build()); +core::Property MotionDetector::MinInterestArea( + core::PropertyBuilder::createProperty("Minimum Area") + ->withDescription("We only consider the movement regions with area greater than this.") + ->isRequired(true) + ->withDefaultValue<uint32_t>(100)->build()); +core::Property MotionDetector::Threshold( + core::PropertyBuilder::createProperty("Threshold for segmentation") + ->withDescription("Pixel greater than this will be white, otherwise black.") + ->isRequired(true) + ->withDefaultValue<uint32_t>(42)->build()); +core::Property MotionDetector::BackgroundFrame( + core::PropertyBuilder::createProperty("Path to background frame") + ->withDescription("If not provided then the processor will take the first input frame as background")->build()); +core::Property MotionDetector::DilateIter( + core::PropertyBuilder::createProperty("Dilate iteration") + ->withDescription("For image processing") + ->isRequired(true) + ->withDefaultValue<uint32_t>(10)->build()); +core::Property MotionDetector::PrevAsBackground( + core::PropertyBuilder::createProperty("Previous frame as Background") + ->withDescription("Whether or not detect motion between 2 consecutive frames (yes/no)") + ->isRequired(false) + ->withAllowableValues<std::string>({"yes", "no"}) + ->withDefaultValue("no")->build()); + +core::Relationship MotionDetector::Success( // NOLINT + "success", + "Successful to detect motion"); +core::Relationship MotionDetector::Failure( // NOLINT + "failure", + "Failure to detect motion"); + +void MotionDetector::initialize() { + std::set<core::Property> properties; + properties.insert(ImageEncoding); + properties.insert(MinInterestArea); + properties.insert(Threshold); + properties.insert(BackgroundFrame); + properties.insert(DilateIter); + properties.insert(PrevAsBackground); + setSupportedProperties(std::move(properties)); + + setSupportedRelationships({Success, Failure}); +} + +void MotionDetector::onSchedule(core::ProcessContext *context, core::ProcessSessionFactory *sessionFactory) { + std::string value; + + if (context->getProperty(ImageEncoding.getName(), value)) { + image_encoding_ = value; + } + + if (context->getProperty(MinInterestArea.getName(), value)) { + core::Property::StringToInt(value, min_area_); + } + + if (context->getProperty(Threshold.getName(), value)) { + core::Property::StringToInt(value, threshold_); + } + + if (context->getProperty(DilateIter.getName(), value)) { + core::Property::StringToInt(value, dil_iter_); + } + + if (context->getProperty(BackgroundFrame.getName(), value) && !value.empty()) { + bg_img_ = cv::imread(value, cv::IMREAD_GRAYSCALE); + double scale = 500.0 / bg_img_.size().width; + cv::resize(bg_img_, bg_img_, cv::Size(0, 0), scale, scale); + cv::GaussianBlur(bg_img_, bg_img_, cv::Size(21, 21), 0, 0); + bg_img_.convertTo(background_, CV_32F); + } + + if (context->getProperty(PrevAsBackground.getName(), value)) { + update_bg_ = (value == "yes"); + } + + logger_->log_trace("MotionDetector processor scheduled"); +} + +bool MotionDetector::detectAndDraw(cv::Mat &frame) { + cv::Mat gray; + cv::Mat img_diff, thresh; + std::vector<cv::Mat> contours; + + logger_->log_debug("Detect and Draw"); + + cv::cvtColor(frame, gray, cv::COLOR_BGR2GRAY); + cv::GaussianBlur(gray, gray, cv::Size(21, 21), 0, 0); + + // Get difference between current frame and background + logger_->log_debug("Get difference [%d x %d] [%d x %d]", bg_img_.rows, bg_img_.cols, gray.rows, gray.cols); + cv::absdiff(gray, bg_img_, img_diff); + logger_->log_debug("Apply threshold"); + cv::threshold(img_diff, thresh, threshold_, 255, cv::THRESH_BINARY); + // Image processing. + logger_->log_debug("Dilation"); + cv::dilate(thresh, thresh, cv::Mat(), cv::Point(-1, -1), dil_iter_); + cv::findContours(thresh, contours, cv::RETR_EXTERNAL, cv::CHAIN_APPROX_SIMPLE); + + // Finish process + logger_->log_debug("Draw contours"); + bool moved = false; + for (const auto &contour : contours) { + auto area = cv::contourArea(contour); + if (area < min_area_) { + continue; + } + // TODO - Nghia: If a contour exists for >n frames, then we should consider it as background + // TODO - Nghia: How? Map<rectangle, cnt>? + moved = true; + cv::Rect bbox = cv::boundingRect(contour); + cv::rectangle(frame, bbox.tl(), bbox.br(), cv::Scalar(0, 255, 0), 1, 8, 0); + } + logger_->log_debug("Updating bg"); + if (update_bg_) { + // Use the previous frame as background. + logger_->log_debug("Prev as bg"); + gray.copyTo(bg_img_); + } else if (!moved) { + logger_->log_debug("Not moved"); + // Adaptive background, update background so that the illumnation does not affect that much. + cv::accumulateWeighted(gray, background_, 0.5); + cv::convertScaleAbs(background_, bg_img_); + } + logger_->log_debug("Finish Detect and Draw"); + return moved; +} + +void MotionDetector::onTrigger(const std::shared_ptr<core::ProcessContext> &context, + const std::shared_ptr<core::ProcessSession> &session) { + std::unique_lock<std::mutex> lock(mutex_, std::try_to_lock); + if (!lock.owns_lock()) { + logger_->log_info("Cannot process due to an unfinished onTrigger"); + context->yield(); + return; + } + + auto flow_file = session->get(); + if (!flow_file) { + logger_->log_info("Empty flow file"); Review comment: Actually it means no flowfile. In case of empty flowfile the flowfile ptr is valid, but the content size is 0. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
