diff --git a/CMakeLists.txt b/CMakeLists.txt index 3b433d1..6dcd4f8 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -1,34 +1,34 @@ -cmake_minimum_required(VERSION 3.5) +CMAKE_MINIMUM_REQUIRED(VERSION 3.5) -project(AutoAim) -set(CMAKE_CXX_STANDARD 11) -SET(CMAKE_BUILD_TYPE DEBUG) +PROJECT(AutoAim) +SET(CMAKE_CXX_STANDARD 11) +SET(CMAKE_BUILD_TYPE RELEASE) +SET(CMAKE_CXX_FLAGS "-DPROJECT_DIR=\"\\\"${PROJECT_SOURCE_DIR}\\\"\"") FIND_PROGRAM(CCACHE_FOUND ccache) IF(CCACHE_FOUND) - set_property(GLOBAL PROPERTY RULE_LAUNCH_COMPILE ccache) - set_property(GLOBAL PROPERTY RULE_LAUNCH_LINK ccache) - message("< Use ccache for compiler >") + SET_PROPERTY(GLOBAL PROPERTY RULE_LAUNCH_COMPILE ccache) + SET_PROPERTY(GLOBAL PROPERTY RULE_LAUNCH_LINK ccache) + MESSAGE("< Use ccache for compiler >") ENDIF() FIND_PACKAGE(OpenCV 3 REQUIRED) FIND_PACKAGE(Eigen3 REQUIRED) FIND_PACKAGE(Threads) -include_directories( ${EIGEN3_INCLUDE_DIR} ) -include_directories( ${PROJECT_SOURCE_DIR}/energy/include ) -include_directories( ${PROJECT_SOURCE_DIR}/armor/include ) -include_directories( ${PROJECT_SOURCE_DIR}/others/include ) +INCLUDE_DIRECTORIES(${EIGEN3_INCLUDE_DIR}) +INCLUDE_DIRECTORIES(${PROJECT_SOURCE_DIR}/energy/include) +INCLUDE_DIRECTORIES(${PROJECT_SOURCE_DIR}/armor/include) +INCLUDE_DIRECTORIES(${PROJECT_SOURCE_DIR}/others/include) FILE(GLOB_RECURSE sourcefiles "others/src/*.cpp" "energy/src/*cpp" "armor/src/*.cpp") -add_executable(run main.cpp ${sourcefiles} ) +ADD_EXECUTABLE(run main.cpp ${sourcefiles} ) TARGET_LINK_LIBRARIES(run ${CMAKE_THREAD_LIBS_INIT}) TARGET_LINK_LIBRARIES(run ${OpenCV_LIBS}) TARGET_LINK_LIBRARIES(run ${PROJECT_SOURCE_DIR}/others/libMVSDK.so) -# Todo -# ADD_CUSTOM_TARGET(bind-monitor COMMAND "") +ADD_CUSTOM_TARGET(train COMMAND "gnome-terminal" "-x" "bash" "-c" "\"${PROJECT_SOURCE_DIR}/tools/TrainCNN/backward.py\"" ) # Todo -# ADD_CUSTOM_TARGET(train COMMAND "") \ No newline at end of file +# ADD_CUSTOM_TARGET(bind-monitor COMMAND "") diff --git a/armor/src/armor_finder/armor_finder.cpp b/armor/src/armor_finder/armor_finder.cpp index b00302f..5b56cd6 100644 --- a/armor/src/armor_finder/armor_finder.cpp +++ b/armor/src/armor_finder/armor_finder.cpp @@ -2,47 +2,42 @@ // Created by xinyang on 19-3-27. // #include +#include +#include +#include #include ArmorFinder::ArmorFinder(EnemyColor color, Uart &u, string paras_folder) : - uart(u), - enemy_color(color), - state(STANDBY_STATE), - classifier(std::move(paras_folder)), - contour_area(0) - { - auto para = TrackerToUse::Params(); - para.desc_npca = 1; - para.desc_pca = 0; - tracker = TrackerToUse::create(para); - if(!tracker){ - LOGW("Tracker Not init"); - } + uart(u), + enemy_color(color), + state(STANDBY_STATE), + classifier(std::move(paras_folder)), + contour_area(0) + { } void ArmorFinder::run(cv::Mat &src) { cv::Mat src_use; -// if (src.type() == CV_8UC3) { -// cv::cvtColor(src, src_use, CV_RGB2GRAY); -// }else{ - src_use = src.clone(); -// } + src_use = src.clone(); cv::cvtColor(src_use, src_gray, CV_RGB2GRAY); - stateSearchingTarget(src_use); - return; - + if(show_armor_box){ + showArmorBox("box", src, armor_box); + cv::waitKey(1); + } +// stateSearchingTarget(src_use); +// return; switch (state){ case SEARCHING_STATE: if(stateSearchingTarget(src_use)){ if((armor_box & cv::Rect2d(0, 0, 640, 480)) == armor_box) { - cv::Mat roi = src_use.clone()(armor_box); - cv::threshold(roi, roi, 200, 255, cv::THRESH_BINARY); - contour_area = cv::countNonZero(roi); - auto para = TrackerToUse::Params(); - para.desc_npca = 1; - para.desc_pca = 0; - tracker = TrackerToUse::create(para); + if(!classifier){ + cv::Mat roi = src_use.clone()(armor_box), roi_gray; + cv::cvtColor(roi, roi_gray, CV_RGB2GRAY); + cv::threshold(roi_gray, roi_gray, 180, 255, cv::THRESH_BINARY); + contour_area = cv::countNonZero(roi_gray); + } + tracker = TrackerToUse::create(); tracker->init(src_use, armor_box); state = TRACKING_STATE; LOGW("into track"); @@ -50,7 +45,7 @@ void ArmorFinder::run(cv::Mat &src) { } break; case TRACKING_STATE: - if(!stateTrackingTarget(src_gray)){ + if(!stateTrackingTarget(src_use)){ state = SEARCHING_STATE; //std::cout << "into search!" << std::endl; } diff --git a/armor/src/armor_finder/classifier/classifier.cpp b/armor/src/armor_finder/classifier/classifier.cpp index 13bf868..7bdf43a 100644 --- a/armor/src/armor_finder/classifier/classifier.cpp +++ b/armor/src/armor_finder/classifier/classifier.cpp @@ -259,7 +259,7 @@ Classifier::Classifier(const string &folder) : state(true){ fc2_w = load_fc_w(folder+"fc2_w"); fc2_b = load_fc_b(folder+"fc2_b"); if(state){ - LOGM("Load paras success!"); + LOGM("Load para success!"); } } diff --git a/armor/src/armor_finder/state_machine/searching_state/searching_state.cpp b/armor/src/armor_finder/state_machine/searching_state/searching_state.cpp index a07367b..29739f5 100644 --- a/armor/src/armor_finder/state_machine/searching_state/searching_state.cpp +++ b/armor/src/armor_finder/state_machine/searching_state/searching_state.cpp @@ -7,7 +7,6 @@ #include "image_process/image_process.h" #include #include - #include typedef std::vector LightBlobs; @@ -32,11 +31,10 @@ static void pipelineLightBlobPreprocess(cv::Mat &src) { } static bool findLightBlobs(const cv::Mat &src, LightBlobs &light_blobs) { - static cv::Mat src_bin; +// static cv::Mat src_bin; - cv::threshold(src, src_bin, 80, 255, CV_THRESH_BINARY); std::vector > light_contours; - cv::findContours(src_bin, light_contours, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE); + cv::findContours(src, light_contours, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE); for (auto &light_contour : light_contours) { cv::RotatedRect rect = cv::minAreaRect(light_contour); if(isValidLightBlob(rect)){ @@ -117,7 +115,7 @@ static bool findArmorBoxes(LightBlobs &light_blobs, std::vector &arm min_x = fmin(rect_left.x, rect_right.x); max_x = fmax(rect_left.x + rect_left.width, rect_right.x + rect_right.width); min_y = fmin(rect_left.y, rect_right.y) - 5; - max_y = fmax(rect_left.y + rect_left.height, rect_right.y + rect_right.height) + 5; + max_y = fmax(rect_left.y + rect_left.height, rect_right.y + rect_right.height); if (min_x < 0 || max_x > 640 || min_y < 0 || max_y > 480) { continue; } @@ -149,19 +147,21 @@ bool judge_light_color(std::vector &light, std::vector &co } bool ArmorFinder::stateSearchingTarget(cv::Mat &src) { - cv::Mat split, pmsrc=src.clone(); + cv::Mat split, pmsrc=src.clone(), src_bin; LightBlobs light_blobs, pm_light_blobs, light_blobs_real; std::vector armor_boxes, boxes_one, boxes_two, boxes_three; // cv::resize(src, pmsrc, cv::Size(320, 240)); imageColorSplit(src, split, enemy_color); - imagePreProcess(split); - cv::resize(split, split, cv::Size(640, 480)); + cv::threshold(split, src_bin, 130, 255, CV_THRESH_BINARY); + imagePreProcess(src_bin); +// cv::imshow("bin", src_bin); +// cv::resize(split, split, cv::Size(640, 480)); // pipelineLightBlobPreprocess(pmsrc); // if(!findLightBlobs(pmsrc, pm_light_blobs)){ // return false; // } - if(!findLightBlobs(split, light_blobs)){ + if(!findLightBlobs(src_bin, light_blobs)){ return false; } // if(!judge_light_color(light_blobs, pm_light_blobs, light_blobs_real)){ @@ -182,10 +182,7 @@ bool ArmorFinder::stateSearchingTarget(cv::Mat &src) { for(auto box : armor_boxes){ cv::Mat roi = src(box).clone(); cv::resize(roi, roi, cv::Size(48, 36)); -// cv::imshow("roi", roi); -// cv::waitKey(0); int c = classifier(roi); -// cout << c << endl; switch(c){ case 1: boxes_one.emplace_back(box); @@ -204,6 +201,8 @@ bool ArmorFinder::stateSearchingTarget(cv::Mat &src) { armor_box = boxes_two[0]; }else if(!boxes_three.empty()){ armor_box = boxes_three[0]; + } else{ + return false; } if(show_armor_box){ showArmorBoxClass("class", src, boxes_one, boxes_two, boxes_three); @@ -211,10 +210,6 @@ bool ArmorFinder::stateSearchingTarget(cv::Mat &src) { }else{ armor_box = armor_boxes[0]; } - if(show_armor_box){ - showArmorBox("box", src, armor_box); - cv::waitKey(1); - } if(split.size() == cv::Size(320, 240)){ armor_box.x *= 2; armor_box.y *= 2; diff --git a/armor/src/armor_finder/state_machine/tracking_state/tracking_state.cpp b/armor/src/armor_finder/state_machine/tracking_state/tracking_state.cpp index be3c67a..638e759 100644 --- a/armor/src/armor_finder/state_machine/tracking_state/tracking_state.cpp +++ b/armor/src/armor_finder/state_machine/tracking_state/tracking_state.cpp @@ -5,17 +5,27 @@ #include bool ArmorFinder::stateTrackingTarget(cv::Mat &src) { - auto last = armor_box; - tracker->update(src, armor_box); - + if(!tracker->update(src, armor_box)){ + return false; + } if((armor_box & cv::Rect2d(0, 0, 640, 480)) != armor_box){ return false; } - cv::Mat roi = src(armor_box); - threshold(roi, roi, 200, 255, cv::THRESH_BINARY); - if(abs(cv::countNonZero(roi) - contour_area) > contour_area * 0.3){ - return false; + cv::Mat roi = src.clone()(armor_box); + if(classifier){ + cv::resize(roi, roi, cv::Size(48, 36)); + if(classifier(roi) == 0){ + return false; + } + }else{ + cv::Mat roi_gray; + cv::cvtColor(roi, roi_gray, CV_RGB2GRAY); + cv::threshold(roi_gray, roi_gray, 180, 255, cv::THRESH_BINARY); + contour_area = cv::countNonZero(roi_gray); + if(abs(cv::countNonZero(roi_gray) - contour_area) > contour_area * 0.3){ + return false; + } } return sendBoxPosition(); } diff --git a/main.cpp b/main.cpp index 7ce5783..cf79f1e 100644 --- a/main.cpp +++ b/main.cpp @@ -13,32 +13,33 @@ #include #include #include +#include + +//#define DO_NOT_CNT_TIME #include -#include +#define PATH PROJECT_DIR +#define ENERGY_STATE 1 +#define ARMOR_STATE 0 using namespace cv; using namespace std; -#define ENERGY_STATE 1 -#define ARMOR_STATE 0 -int state = ENERGY_STATE; +int state = ARMOR_STATE; float curr_yaw=0, curr_pitch=0; float mark_yaw=0, mark_pitch=0; int mark = 0; void uartReceive(Uart* uart); -int main(int argc, char *argv[]) -{ +int main(int argc, char *argv[]){ process_options(argc, argv); Uart uart; thread receive(uartReceive, &uart); bool flag = true; - while (flag) - { + while (flag){ int ally_color = ALLY_RED; int energy_part_rotation = CLOCKWISE; @@ -51,46 +52,50 @@ int main(int argc, char *argv[]) WrapperHead *video_armor; WrapperHead *video_energy; if(from_camera) { -// video_armor = new CameraWrapper(); - video_energy = new CameraWrapper(); + video_armor = new CameraWrapper(0); +// video_energy = new CameraWrapper(1); }else { - video_armor = new VideoWrapper("r_l_640.avi"); - video_energy = new VideoWrapper("r_l_640.avi"); + video_armor = new VideoWrapper("/home/xinyang/Desktop/Video.mp4"); + video_energy = new VideoWrapper("/home/xinyang/Desktop/Video.mp4"); } - if (video_energy->init()) { + if (video_armor->init()) { cout << "Video source initialization successfully." << endl; } Mat energy_src, armor_src; - ArmorFinder armorFinder(ENEMY_BLUE, uart, "/home/xinyang/Desktop/AutoAim/tools/para/"); + ArmorFinder armorFinder(ENEMY_BLUE, uart, PATH"/tools/para/"); Energy energy(uart); energy.setAllyColor(ally_color); energy.setRotation(energy_part_rotation); - while (video_energy->read(energy_src) && video_energy->read(armor_src)) - { - if(show_origin) { - imshow("enery src", energy_src); - imshow("armor src", armor_src); - } - if(state == ENERGY_STATE){ - if(from_camera==0){ - energy.extract(energy_src); + bool ok=true; + + while (ok){ + CNT_TIME(WORD_LIGHT_CYAN, "Total", { + ok = video_armor->read(energy_src) && video_armor->read(armor_src); + if (show_origin) { + imshow("enery src", energy_src); + imshow("armor src", armor_src); } - energy.run(energy_src); - }else{ - CNT_TIME(WORD_LIGHT_BLUE, "Armor Time", { - armorFinder.run(armor_src); - }); - } - if (waitKey(1) == 'q') { - flag = false; - break; - } + if (state == ENERGY_STATE) { + if (from_camera == 0) { + energy.extract(energy_src); + } + energy.run(energy_src); + } else { + CNT_TIME(WORD_LIGHT_BLUE, "Armor Time", { + armorFinder.run(armor_src); + }); + } + if (waitKey(1) == 'q') { + flag = false; + break; + } + }); } - delete video_energy; + delete video_armor; cout << "Program fails. Restarting" << endl; } diff --git a/others/include/camera/camera_wrapper.h b/others/include/camera/camera_wrapper.h index 9fba166..40bfd4e 100644 --- a/others/include/camera/camera_wrapper.h +++ b/others/include/camera/camera_wrapper.h @@ -36,11 +36,7 @@ private: public: - CameraWrapper(); - CameraWrapper(const std::string &n); - CameraWrapper(int camera_mode); - CameraWrapper(const std::string &n,int camera_mode); - + CameraWrapper(int camera_mode=1, const std::string &n="NULL"); ~CameraWrapper() final; bool init() final; diff --git a/others/src/camera/camera_wrapper.cpp b/others/src/camera/camera_wrapper.cpp index 8d79d0c..e932688 100644 --- a/others/src/camera/camera_wrapper.cpp +++ b/others/src/camera/camera_wrapper.cpp @@ -9,39 +9,13 @@ using std::cout; using std::endl; using namespace cv; -CameraWrapper::CameraWrapper(): - name("NULL"), - mode(1), - camera_cnts(2), - camera_status(-1), - iplImage(nullptr), - channel(3){ -} - -CameraWrapper::CameraWrapper(const std::string &n): - name(n), - mode(1), - camera_cnts(2), - camera_status(-1), - iplImage(nullptr), - channel(3){ -} - -CameraWrapper::CameraWrapper(int camera_mode): - name("NULL"), - mode(camera_mode), - camera_cnts(2), - camera_status(-1), - iplImage(nullptr), - channel(3){ -} - -CameraWrapper::CameraWrapper(const std::string &n,int camera_mode): +CameraWrapper::CameraWrapper(int camera_mode, const std::string &n): name(n), mode(camera_mode), camera_cnts(2), camera_status(-1), iplImage(nullptr), + rgb_buffer(nullptr), channel(3){ } @@ -51,9 +25,9 @@ bool CameraWrapper::init() { //枚举设备，并建立设备列表 int camera_enumerate_device_status = CameraEnumerateDevice(camera_enum_list, &camera_cnts); - //cout<<"camera enumerate device status: "<= camera_cnts){ - LOGE("No device name %s!", name.data()); + LOGE("No device name %s or device open error!!", name.data()); return false; } @@ -90,11 +65,11 @@ bool CameraWrapper::init() { tCapability.sResolutionRange.iWidthMax * 3); if(mode == 0){ // 不使用自动曝光 - CameraSetAeState(h_camera, false); + CameraSetAeState(h_camera, true); // 曝光时间10ms - CameraSetExposureTime(h_camera, 10000); +// CameraSetExposureTime(h_camera, 10000); // 模拟增益4 - CameraSetAnalogGain(h_camera, 63); + CameraSetAnalogGain(h_camera, 64); // 使用预设LUT表 CameraSetLutMode(h_camera, LUTMODE_PRESET); // 抗频闪 @@ -188,6 +163,7 @@ CameraWrapper::~CameraWrapper() { CameraUnInit(h_camera); //注意，先反初始化后再free - free(rgb_buffer); + if(rgb_buffer != nullptr) + free(rgb_buffer); } diff --git a/tools/TrainCNN/backward.py b/tools/TrainCNN/backward.py old mode 100644 new mode 100755 index c2c83b5..8503c5a --- a/tools/TrainCNN/backward.py +++ b/tools/TrainCNN/backward.py @@ -1,9 +1,12 @@ +#!/usr/bin/python3 +print("Preparing...") import tensorflow as tf -from progressive.bar import Bar +from tqdm import tqdm import generate import forward import cv2 import numpy as np +print("Finish!") def save_kernal(fp, val): print(val.shape[2], file=fp) @@ -51,7 +54,7 @@ def save_para(folder, paras): STEPS = 20000 -BATCH = 10 +BATCH = 30 LEARNING_RATE_BASE = 0.01 LEARNING_RATE_DECAY = 0.99 MOVING_AVERAGE_DECAY = 0.99 @@ -85,18 +88,13 @@ def train(dataset, show_bar=False): correct_prediction = tf.equal(tf.argmax(y, 1), tf.argmax(y_, 1)) accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32)) - acc = 0 with tf.Session() as sess: init_op = tf.global_variables_initializer() sess.run(init_op) - if show_bar: - bar = Bar(max_value=STEPS, width=u'50%') - bar.cursor.clear_lines(1) - bar.cursor.save() - - for i in range(STEPS): + bar = tqdm(range(STEPS), dynamic_ncols=True) + for i in bar: images_samples, labels_samples = dataset.sample_train_sets(BATCH) _, loss_value, step = sess.run( @@ -107,18 +105,21 @@ def train(dataset, show_bar=False): if i % 100 == 0: if i % 1000 == 0: acc = sess.run(accuracy, feed_dict={x: test_images, y_: test_labels}) + bar.set_postfix({"loss": loss_value, "acc": acc}) - if show_bar: - bar.title = "step: %d, loss: %f, acc: %f" % (step, loss_value, acc) - bar.cursor.restore() - bar.draw(value=i+1) + + # if show_bar: + # bar.title = "step: %d, loss: %f, acc: %f" % (step, loss_value, acc) + # bar.cursor.restore() + # bar.draw(value=i+1) # video = cv2.VideoCapture("/home/xinyang/Desktop/Video.mp4") # _ = True # while _: # _, frame = video.read() # cv2.imshow("Video", frame) - # if cv2.waitKey(10) == 113: + # k = cv2.waitKey(10) + # if k == ord(" "): # bbox = cv2.selectROI("frame", frame, False) # print(bbox) # roi = frame[bbox[1]:bbox[1]+bbox[3], bbox[0]:bbox[0]+bbox[2]] @@ -131,6 +132,22 @@ def train(dataset, show_bar=False): # res = sess.run(y, feed_dict={x: roi}) # res = res.reshape([forward.OUTPUT_NODES]) # print(np.argmax(res)) + # elif k==ord("q"): + # break + # keep = True + # while keep: + # n = input() + # im = cv2.imread(n) + # im = cv2.resize(im, (48, 36)) + # cv2.imshow("im", im) + # if cv2.waitKey(0) == ord("q"): + # keep = False + # im = im.astype(np.float32) + # im /= 255.0 + # im = im.reshape([1, 36, 48, 3]) + # res = sess.run(y, feed_dict={x: im}) + # res = res.reshape([forward.OUTPUT_NODES]) + # print(np.argmax(res)) vars_val = sess.run(vars) save_para("/home/xinyang/Desktop/AutoAim/tools/para", vars_val) @@ -139,5 +156,7 @@ def train(dataset, show_bar=False): if __name__ == "__main__": - dataset = generate.DataSet("/home/xinyang/Desktop/DataSets") + print("Loading data sets...") + dataset = generate.DataSet("/home/xinyang/Desktop/DataSets/box") + print("Finish!") train(dataset, show_bar=True) diff --git a/tools/TrainCNN/forward.py b/tools/TrainCNN/forward.py index ec5ae67..07ed70f 100644 --- a/tools/TrainCNN/forward.py +++ b/tools/TrainCNN/forward.py @@ -29,13 +29,13 @@ def max_pool_2x2(x): CONV1_KERNAL_SIZE = 5 # 第一层卷积输出通道数 -CONV1_OUTPUT_CHANNELS = 4 +CONV1_OUTPUT_CHANNELS = 6 # 第二层卷积核大小 CONV2_KERNAL_SIZE = 3 # 第二层卷积输出通道数 -CONV2_OUTPUT_CHANNELS = 8 +CONV2_OUTPUT_CHANNELS = 10 # 第一层全连接宽度 FC1_OUTPUT_NODES = 16 diff --git a/tools/TrainCNN/generate.py b/tools/TrainCNN/generate.py index 7cd2968..5b2f3f4 100644 --- a/tools/TrainCNN/generate.py +++ b/tools/TrainCNN/generate.py @@ -3,6 +3,9 @@ import os import cv2 import random from forward import OUTPUT_NODES +import sys +import os +from tqdm import tqdm # 原图像行数 SRC_ROWS = 36 @@ -12,6 +15,7 @@ SRC_COLS = 48 # 原图像通道数 SRC_CHANNELS = 3 + class DataSet: def __init__(self, folder): self.train_samples = [] @@ -21,10 +25,14 @@ class DataSet: self.generate_data_sets(folder) def file2nparray(self, name): - image = cv2.imread(name) - image = cv2.resize(image, (SRC_COLS, SRC_ROWS)) - image = image.astype(np.float32) - return image / 255.0 + try: + image = cv2.imread(name) + image = cv2.resize(image, (SRC_COLS, SRC_ROWS)) + image = image.astype(np.float32) + return image / 255.0 + except: + print(name) + sys.exit(-1) def id2label(self, id): a = np.zeros([OUTPUT_NODES]) @@ -36,13 +44,14 @@ class DataSet: for i in range(OUTPUT_NODES): dir = "%s/%d" % (folder, i) files = os.listdir(dir) - for file in files: - if random.random() > 0.2: - self.train_samples.append(self.file2nparray("%s/%s" % (dir, file))) - self.train_labels.append(self.id2label(i)) - else: - self.test_samples.append(self.file2nparray("%s/%s" % (dir, file))) - self.test_labels.append(self.id2label(i)) + for file in tqdm(files, postfix={"loading id": i}, dynamic_ncols=True): + if file[-3:] == "jpg": + if random.random() > 0.2: + self.train_samples.append(self.file2nparray("%s/%s" % (dir, file))) + self.train_labels.append(self.id2label(i)) + else: + self.test_samples.append(self.file2nparray("%s/%s" % (dir, file))) + self.test_labels.append(self.id2label(i)) self.train_samples = np.array(self.train_samples) self.train_labels = np.array(self.train_labels) self.test_samples = np.array(self.test_samples) diff --git a/tools/monitor.sh b/tools/monitor.sh index cf657c1..5b16d2a 100755 --- a/tools/monitor.sh +++ b/tools/monitor.sh @@ -1,5 +1,8 @@ #!/bin/sh +# usage: monitor.sh "" +# And then when ever the exe shutdonw it will be automatically restart + exe=$1 while true; do state=`ps aux | grep "$1" | grep -v grep | grep -v $0` diff --git a/tools/para/conv1_b b/tools/para/conv1_b new file mode 100644 index 0000000..6d9e651 --- /dev/null +++ b/tools/para/conv1_b @@ -0,0 +1,7 @@ +6 +0.6241298 +1.1128483 +0.92715627 +2.6803706 +-2.4037633 +1.6914424 diff --git a/tools/para/conv1_w b/tools/para/conv1_w new file mode 100644 index 0000000..938c113 --- /dev/null +++ b/tools/para/conv1_w @@ -0,0 +1,454 @@ +3 +6 +5 +5 +-1.8745673 +-1.4418055 +-0.68810487 +-0.42730802 +-0.019043377 +-2.2401865 +-1.5337001 +-0.5666739 +0.1119876 +0.24716255 +-2.2945662 +-1.4734446 +-0.298631 +0.19550888 +0.45057848 +-2.4559898 +-1.097164 +-0.035884537 +0.23402216 +0.3693794 +-1.7285618 +-0.8927671 +0.026205042 +0.19274746 +0.029146997 +-1.3690577 +-1.2756748 +-0.32751036 +0.3233031 +0.55376107 +-1.4835969 +-1.3036382 +-0.75256515 +-0.13608748 +0.2254278 +-1.6409502 +-1.4188147 +-1.1627024 +-0.62049645 +-0.20085949 +-2.2059698 +-1.7030506 +-1.5584862 +-1.2325822 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a/tools/para/fc1_b b/tools/para/fc1_b new file mode 100644 index 0000000..c69af91 --- /dev/null +++ b/tools/para/fc1_b @@ -0,0 +1,17 @@ +16 +6.674671 +-0.4621555 +-0.35395312 +-6.140842 +-0.6383096 +-0.0026992396 +-0.105528705 +-0.12171911 +-0.039757866 +-4.064281 +-0.36199543 +-0.06976157 +-0.042993866 +0.0015301058 +-0.06826296 +-0.0050806464 diff --git a/tools/para/fc1_w b/tools/para/fc1_w new file mode 100644 index 0000000..c96ed2f --- /dev/null +++ b/tools/para/fc1_w @@ -0,0 +1,11202 @@ +700 +16 +0.119231544 +-4.1611444e-34 +-0.21221395 +-0.08811771 +6.678028e-34 +1.2137641e-33 +6.3819058e-34 +9.901262e-34 +8.978665e-34 +0.029916998 +8.343997e-34 +1.0926492e-33 +-1.0421939e-33 +0.00039504952 +6.9579807e-34 +8.895153e-34 +-7.6863225e-34 +4.7920533e-34 +-3.9971877e-34 +-1.0975561e-33 +6.6539286e-08 +1.0759447e-33 +-8.215677e-34 +1.0564129e-33 +7.323653e-34 +6.276699e-34 +5.852792e-34 +4.8089676e-34 +1.1370366e-33 +4.5912083e-07 +1.0860657e-33 +-5.9793357e-34 +0.0103067085 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