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01a11741c7
Author | SHA1 | Date | |
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01a11741c7 | ||
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a0ee8e35f7 | ||
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9ecace7e4b | ||
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17c136b6bc | ||
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4bf3672a39 |
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@ -3,5 +3,5 @@ project( MotionWatch )
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find_package( OpenCV REQUIRED )
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set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++17 -pthread")
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include_directories( ${OpenCV_INCLUDE_DIRS} )
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add_executable( mow src/main.cpp src/common.cpp src/mo_detect.cpp src/obj_detect.cpp )
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add_executable( mow src/main.cpp src/common.cpp src/mo_detect.cpp )
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target_link_libraries( mow ${OpenCV_LIBS} )
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21
README.md
21
README.md
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@ -45,20 +45,15 @@ buff_dir = /tmp/ramdisk/cam_name
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# recommend to use a ramdisk tempfs for this since this directory is used
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# for lots of writes.
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#
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color_threshold = 8
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# the color levels in each pixel of the camera stream can range from 0-255.
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# in an ideal world the color differences in between frames should be 0 if
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# there is no motion but must cameras can't do this. the threshold value
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# here is used to filter if the pixels are truly different.
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consec_threshold = 512
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# motion is detected by comparing each frame in the camera feed for
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# differences in the pixels. this value determine how many consecutive
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# pixels need to different or how large the suspect object in motion
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# needs to be.
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#
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block_threshold = 3456
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# this application detects motion by loading frames from the camera and
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# then compare the pixels of each back to back frame for any significant
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# differences between the pixels based on color_threshold. it loads the
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# pixels of each frame in blocks. the size of the blocks are adjustable
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# below. it counts how many pixels are different in the block and this is
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# used to tell if the footage has motion if the different pixel count
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# exceeds it.
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block_threshold = 1024
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# this value tells the application how many "lines" of pixels need to
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# exceed consec_threshold before being considered motion.
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#
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block_x = 64
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# this is the x coordinate size or horizontal size of a block of pixels
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@ -1,80 +0,0 @@
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person
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bicycle
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car
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motorbike
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aeroplane
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bus
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train
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truck
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boat
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traffic light
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fire hydrant
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stop sign
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parking meter
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bench
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bird
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cat
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dog
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horse
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sheep
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cow
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elephant
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bear
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zebra
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giraffe
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backpack
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umbrella
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handbag
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tie
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suitcase
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frisbee
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skis
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snowboard
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sports ball
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kite
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baseball bat
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baseball glove
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skateboard
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surfboard
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tennis racket
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bottle
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wine glass
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cup
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fork
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knife
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spoon
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bowl
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banana
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apple
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sandwich
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orange
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broccoli
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carrot
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hot dog
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pizza
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donut
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cake
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chair
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sofa
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pottedplant
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bed
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diningtable
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toilet
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tvmonitor
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laptop
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mouse
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remote
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keyboard
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cell phone
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microwave
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oven
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toaster
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sink
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refrigerator
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book
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clock
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vase
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scissors
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teddy bear
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hair drier
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toothbrush
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BIN
etc/yolov5s.onnx
BIN
etc/yolov5s.onnx
Binary file not shown.
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@ -1,6 +1,3 @@
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#!/bin/sh
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mkdir -p /etc/mow
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cp ./etc/yolov5s.onnx /etc/mow/yolov5s.onnx
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cp ./etc/classes.txt /etc/mow/classes.txt
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cp ./.build-mow/mow /usr/bin/mow
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@ -140,18 +140,6 @@ string genDstFile(const string &dirOut, const char *fmt, const string &ext)
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return cleanDir(dirOut) + string("/") + genTimeStr(fmt) + ext;
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}
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string genTmpFile(const string &dirOut, const string &ext, shared_t *share)
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{
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createDirTree(cleanDir(dirOut));
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if (share->tmpId == 9999999)
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{
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share->tmpId = 0;
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}
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return cleanDir(dirOut) + string("/") + to_string(share->tmpId++) + ext;
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}
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Mat toGray(const Mat &src)
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{
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Mat ret;
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@ -181,21 +169,6 @@ void rdLine(const string ¶m, const string &line, int *value)
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}
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}
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vector<string> loadClassList()
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{
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vector<string> ret;
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ifstream ifs("/etc/mow/classes.txt");
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string line;
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while (getline(ifs, line))
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{
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ret.push_back(line);
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}
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return ret;
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}
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bool rdConf(shared_t *share)
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{
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ifstream varFile(share->conf.c_str());
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@ -215,20 +188,15 @@ bool rdConf(shared_t *share)
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share->postCmd.clear();
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share->buffDir.clear();
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share->colorThresh = 5;
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share->consecThresh = 512;
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share->secs = 60;
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share->blockX = 32;
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share->blockY = 32;
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share->blockThresh = 900;
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share->blockThresh = 1024;
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share->maxDays = 5;
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share->vidExt = "mp4";
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share->recLoopWait = false;
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share->skipCmd = false;
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share->network = dnn::readNet("/etc/mow/yolov5s.onnx");
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share->classNames = loadClassList();
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share->network.setPreferableBackend(dnn::DNN_BACKEND_OPENCV);
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share->network.setPreferableTarget(dnn::DNN_TARGET_CPU);
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do
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{
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@ -239,7 +207,7 @@ bool rdConf(shared_t *share)
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rdLine("recording_stream = ", line, &share->recordUrl);
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rdLine("output_dir = ", line, &share->outDir);
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rdLine("post_cmd = ", line, &share->postCmd);
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rdLine("color_threshold = ", line, &share->colorThresh);
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rdLine("consec_threshold = ", line, &share->consecThresh);
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rdLine("duration = ", line, &share->secs);
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rdLine("buff_dir = ", line, &share->buffDir);
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rdLine("block_x = ", line, &share->blockX);
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@ -266,6 +234,9 @@ bool rdConf(shared_t *share)
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new thread(enforceMaxDays, share);
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createDirTree(cleanDir(share->buffDir));
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system(string("touch " + cleanDir(share->buffDir) + "/stat").c_str());
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share->retCode = 0;
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}
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@ -336,10 +307,10 @@ string parseForParam(const string &arg, int argc, char** argv, bool argOnly)
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void statOut(shared_t *share)
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{
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createDirTree(cleanDir(share->buffDir));
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system(string("touch " + cleanDir(share->buffDir) + "/stat").c_str());
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auto path = string(cleanDir(share->buffDir) + "/stat");
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auto fd = open(path.c_str(), O_WRONLY);
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auto fd = open(path.c_str(), fstream::out | fstream::trunc);
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write(fd, share->stat.c_str(), share->stat.size() + 1);
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close(fd);
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44
src/common.h
44
src/common.h
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@ -37,36 +37,29 @@ using namespace std;
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using namespace std::filesystem;
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#define BUF_SZ 10
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#define APP_VER "1.4.t7"
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#define APP_VER "1.5"
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struct shared_t
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{
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vector<string> classNames;
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dnn::Net network;
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string stat;
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string recordUrl;
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string outDir;
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string postCmd;
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string conf;
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string buffDir;
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string concatTxtTmp;
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string concatShTmp;
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string createShTmp;
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string vidExt;
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bool init;
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bool recLoopWait;
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bool skipCmd;
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int tmpId;
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int colorThresh;
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int secs;
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int blockThresh;
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int blockX;
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int blockY;
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int maxDays;
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int retCode;
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string stat;
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string recordUrl;
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string outDir;
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string postCmd;
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string conf;
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string buffDir;
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string vidExt;
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bool init;
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bool recLoopWait;
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bool skipCmd;
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int consecThresh;
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int secs;
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int blockThresh;
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int blockX;
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int blockY;
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int maxDays;
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int retCode;
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};
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string genTmpFile(const string &dirOut, const string &ext, shared_t *share);
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string genDstFile(const string &dirOut, const char *fmt, const string &ext);
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string genTimeStr(const char *fmt);
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string cleanDir(const string &path);
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@ -84,6 +77,5 @@ bool rdConf(shared_t *share);
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bool capPair(Mat &prev, Mat &next, VideoCapture &capture, shared_t *share);
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Mat toGray(const Mat &src);
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vector<string> lsFilesInDir(const string &path, const string &ext);
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vector<string> loadClassList();
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#endif // COMMON_H
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18
src/main.cpp
18
src/main.cpp
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@ -11,7 +11,6 @@
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// GNU General Public License for more details.
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#include "mo_detect.h"
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#include "obj_detect.h"
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void detectLoop(shared_t *share)
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{
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@ -23,25 +22,15 @@ void detectLoop(shared_t *share)
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if ((bufFiles.size() >= 2) || (share->recLoopWait && !bufFiles.empty()))
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{
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Rect blockArea;
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Mat blockImg;
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auto fullPath = cleanDir(share->buffDir) + "/" + bufFiles[0];
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share->stat.clear();
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if (moDetect(fullPath, &blockArea, &blockImg, share))
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if (moDetect(fullPath, share))
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{
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if (objectInImage(blockImg, blockArea, share))
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{
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share->skipCmd = true;
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share->skipCmd = true;
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wrOut(fullPath, share);
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}
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else
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{
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remove(fullPath.c_str());
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}
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wrOut(fullPath, share);
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}
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else
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{
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@ -108,7 +97,6 @@ int main(int argc, char** argv)
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else
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{
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sharedRes.retCode = 0;
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sharedRes.tmpId = 0;
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sharedRes.recLoopWait = false;
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sharedRes.skipCmd = false;
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sharedRes.init = true;
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@ -14,33 +14,30 @@
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bool pixDiff(const uchar &pixA, const uchar &pixB, shared_t *share)
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{
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auto diff = 0;
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if (pixA > pixB) return true;
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if (pixB > pixA) return true;
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if (pixA > pixB) diff = pixA - pixB;
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if (pixB > pixA) diff = pixB - pixA;
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if (diff < share->colorThresh)
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{
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diff = 0;
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}
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return diff != 0;
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return false;
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}
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void secDiff(const Mat &imgA, const Mat &imgB, int rows, int cols, int rowOffs, int colOffs, vector<sec_t> *results, mutex *secMutex, shared_t *share)
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void secDiff(const Mat &imgA, const Mat &imgB, int id, int rows, int cols, int rowOffs, int colOffs, vector<sec_t> *results, mutex *secMutex, shared_t *share)
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{
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auto diff = 0;
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auto pnts = 0;
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for (auto y = rowOffs; y < rows; y++)
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for (auto y = rowOffs; y < (rowOffs + rows); y++)
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{
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for (auto x = colOffs; x < cols; x++)
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for (auto x = colOffs; x < (colOffs + cols); x++)
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{
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auto pixA = imgA.at<uchar>(Point(x, y));
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auto pixB = imgB.at<uchar>(Point(x, y));
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if (pixDiff(pixA, pixB, share))
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if (pixDiff(pixA, pixB, share)) pnts += 1;
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else pnts = 0;
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if (pnts >= share->consecThresh)
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{
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pnts += 1;
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diff += 1;
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}
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}
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}
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@ -51,27 +48,28 @@ void secDiff(const Mat &imgA, const Mat &imgB, int rows, int cols, int rowOffs,
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res.y = rowOffs;
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res.xSize = cols;
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res.ySize = rows;
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res.pixDiff = pnts;
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res.pixDiff = diff;
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res.id = id;
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lock_guard<mutex> guard(*secMutex);
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results->push_back(res);
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}
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bool imgDiff(const Mat &prev, const Mat &next, Rect *block, shared_t *share)
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bool imgDiff(const Mat &prev, const Mat &next, shared_t *share)
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{
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auto moInBlock = false;
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vector<thread> threads;
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vector<sec_t> results;
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mutex secMutex;
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auto id = 0;
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for (auto x = 0; x < prev.cols; x += share->blockX)
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{
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// spawn all of the block motion detection threads.
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for (auto y = 0; y < prev.rows; y += share->blockY)
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for (auto y = 0; y < prev.rows; y += share->blockY, id += 1)
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{
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threads.push_back(thread(secDiff, prev, next, share->blockY, share->blockX, y, x, &results, &secMutex, share));
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threads.push_back(thread(secDiff, prev, next, id, share->blockY, share->blockX, y, x, &results, &secMutex, share));
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}
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}
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|
@ -91,13 +89,13 @@ bool imgDiff(const Mat &prev, const Mat &next, Rect *block, shared_t *share)
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auto x = results[i].x;
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auto y = results[i].y;
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auto diff = results[i].pixDiff;
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auto id = results[i].id;
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share->stat += string("block_thread:")
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+ " x=" + to_string(x)
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+ " y=" + to_string(y)
|
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+ " pixdiff=" + to_string(diff)
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+ "\n";
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|
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if (diff > 0)
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{
|
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share->stat += string("block_thread:") + " id=" + to_string(id) + " diff=" + to_string(diff) + "\n";
|
||||
}
|
||||
|
||||
if ((results[i].pixDiff >= share->blockThresh) && (results[i].pixDiff > maxPixDiff))
|
||||
{
|
||||
maxPixDiff = results[i].pixDiff;
|
||||
|
@ -105,25 +103,10 @@ bool imgDiff(const Mat &prev, const Mat &next, Rect *block, shared_t *share)
|
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}
|
||||
}
|
||||
|
||||
if (maxPixDiff >= share->blockThresh)
|
||||
{
|
||||
// return true on this function with the block with the
|
||||
// high pixDiff value which should be at or exceeds
|
||||
// the block_threshold set by the conf file.
|
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auto res = results[blockPick];
|
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|
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block->x = res.x;
|
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block->y = res.y;
|
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block->height = res.ySize;
|
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block->width = res.xSize;
|
||||
|
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moInBlock = true;
|
||||
}
|
||||
|
||||
return moInBlock;
|
||||
return maxPixDiff >= share->blockThresh;
|
||||
}
|
||||
|
||||
bool moDetect(const string &buffFile, Rect *block, Mat *img, shared_t *share)
|
||||
bool moDetect(const string &buffFile, shared_t *share)
|
||||
{
|
||||
auto mod = false;
|
||||
|
||||
|
@ -134,15 +117,10 @@ bool moDetect(const string &buffFile, Rect *block, Mat *img, shared_t *share)
|
|||
Mat prev;
|
||||
Mat next;
|
||||
|
||||
share->stat += "motion_detection-- clip_file - " + buffFile + "\n";
|
||||
|
||||
for (auto i = 0; capPair(prev, next, capture, share); ++i)
|
||||
while (capPair(prev, next, capture, share))
|
||||
{
|
||||
share->stat += "frame_pair-- " + to_string(i) + "\n";
|
||||
|
||||
if (imgDiff(toGray(prev), toGray(next), block, share))
|
||||
if (imgDiff(toGray(prev), toGray(next), share))
|
||||
{
|
||||
*img = next;
|
||||
mod = true; break;
|
||||
}
|
||||
}
|
||||
|
|
|
@ -17,6 +17,7 @@
|
|||
|
||||
struct sec_t
|
||||
{
|
||||
int id;
|
||||
int x;
|
||||
int y;
|
||||
int xSize;
|
||||
|
@ -24,9 +25,9 @@ struct sec_t
|
|||
int pixDiff;
|
||||
};
|
||||
|
||||
void secDiff(const Mat &imgA, const Mat &imgB, int rows, int cols, int rowOffs, int colOffs, vector<sec_t> *results, mutex *secMutex, shared_t *share);
|
||||
void secDiff(const Mat &imgA, const Mat &imgB, int id, int rows, int cols, int rowOffs, int colOffs, vector<sec_t> *results, mutex *secMutex, shared_t *share);
|
||||
bool pixDiff(const uchar &pixA, const uchar &pixB, shared_t *share);
|
||||
bool imgDiff(const Mat &prev, const Mat &next, Rect *block, shared_t *share);
|
||||
bool moDetect(const string &buffFile, Rect *block, Mat *img, shared_t *share);
|
||||
bool imgDiff(const Mat &prev, const Mat &next, shared_t *share);
|
||||
bool moDetect(const string &buffFile, shared_t *share);
|
||||
|
||||
#endif // MO_DETECT_H
|
||||
|
|
|
@ -1,64 +0,0 @@
|
|||
// This file is part of Motion Watch.
|
||||
|
||||
// Motion Watch is free software: you can redistribute it and/or modify
|
||||
// it under the terms of the GNU General Public License as published by
|
||||
// the Free Software Foundation, either version 3 of the License, or
|
||||
// (at your option) any later version.
|
||||
|
||||
// Motion Watch is distributed in the hope that it will be useful,
|
||||
// but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
// GNU General Public License for more details.
|
||||
|
||||
#include "obj_detect.h"
|
||||
|
||||
bool objectInImage(const Mat &src, const Rect &area, shared_t *share)
|
||||
{
|
||||
// reference: https://github.com/doleron/yolov5-opencv-cpp-python/blob/main/cpp/yolo.cpp
|
||||
Mat blockImage(src, area);
|
||||
Mat blob;
|
||||
|
||||
dnn::blobFromImage(blockImage, blob, 1./255., Size(area.width, area.height), cv::Scalar(), true, false);
|
||||
|
||||
share->network.setInput(blob);
|
||||
|
||||
vector<Mat> outputs;
|
||||
|
||||
share->network.forward(outputs, share->network.getUnconnectedOutLayersNames());
|
||||
|
||||
float *data = (float *)outputs[0].data;
|
||||
|
||||
share->stat += "object_detection---\n";
|
||||
share->stat += " outputs_size=" + to_string(outputs.size()) + " looking_for_objects...\n";
|
||||
|
||||
for (int i = 0; i < 25200; ++i)
|
||||
{
|
||||
// confidence level data[4];
|
||||
if (data[4] >= 0.4)
|
||||
{
|
||||
float *classesScores = data + 5;
|
||||
|
||||
Mat scores(1, share->classNames.size(), CV_32FC1, classesScores);
|
||||
Point classId;
|
||||
double maxClassScore;
|
||||
|
||||
minMaxLoc(scores, 0, &maxClassScore, 0, &classId);
|
||||
|
||||
share->stat += " potential_object[confidence_level]=" + to_string(data[4]) + "\n";
|
||||
share->stat += " potential_object[class_score]=" + to_string(maxClassScore) + "\n";
|
||||
|
||||
if (maxClassScore > 0.2)
|
||||
{
|
||||
share->stat += " object_confirmed\n";
|
||||
|
||||
return true;
|
||||
}
|
||||
}
|
||||
|
||||
data += 85;
|
||||
}
|
||||
|
||||
share->stat += " no_objects_found\n";
|
||||
|
||||
return false;
|
||||
}
|
|
@ -1,20 +0,0 @@
|
|||
#ifndef OBJ_DETECT_H
|
||||
#define OBJ_DETECT_H
|
||||
|
||||
// This file is part of Motion Watch.
|
||||
|
||||
// Motion Watch is free software: you can redistribute it and/or modify
|
||||
// it under the terms of the GNU General Public License as published by
|
||||
// the Free Software Foundation, either version 3 of the License, or
|
||||
// (at your option) any later version.
|
||||
|
||||
// Motion Watch is distributed in the hope that it will be useful,
|
||||
// but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
// GNU General Public License for more details.
|
||||
|
||||
#include "common.h"
|
||||
|
||||
bool objectInImage(const Mat &image, const Rect &area, shared_t *share);
|
||||
|
||||
#endif // OBJ_DETECT_H
|
Loading…
Reference in New Issue
Block a user