diff --git a/demo_android_ncnn/.gitignore b/demo_android_ncnn/.gitignore
new file mode 100644
index 000000000..6f6d9f761
--- /dev/null
+++ b/demo_android_ncnn/.gitignore
@@ -0,0 +1,15 @@
+*.iml
+.gradle
+/local.properties
+/.idea
+/.idea/caches
+/.idea/libraries
+/.idea/modules.xml
+/.idea/workspace.xml
+/.idea/navEditor.xml
+/.idea/assetWizardSettings.xml
+.DS_Store
+/build
+/captures
+.externalNativeBuild
+.cxx
diff --git a/demo_android_ncnn/LICENSE b/demo_android_ncnn/LICENSE
new file mode 100644
index 000000000..9e419e042
--- /dev/null
+++ b/demo_android_ncnn/LICENSE
@@ -0,0 +1,674 @@
+GNU GENERAL PUBLIC LICENSE
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+ IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
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+THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
+GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
+USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+ 17. Interpretation of Sections 15 and 16.
+
+ If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+ END OF TERMS AND CONDITIONS
+
+ How to Apply These Terms to Your New Programs
+
+ If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+ To do so, attach the following notices to the program. It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+
+ Copyright (C)
+
+ This program 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.
+
+ This program 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.
+
+ You should have received a copy of the GNU General Public License
+ along with this program. If not, see .
+
+Also add information on how to contact you by electronic and paper mail.
+
+ If the program does terminal interaction, make it output a short
+notice like this when it starts in an interactive mode:
+
+ Copyright (C)
+ This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
+ This is free software, and you are welcome to redistribute it
+ under certain conditions; type `show c' for details.
+
+The hypothetical commands `show w' and `show c' should show the appropriate
+parts of the General Public License. Of course, your program's commands
+might be different; for a GUI interface, you would use an "about box".
+
+ You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU GPL, see
+.
+
+ The GNU General Public License does not permit incorporating your program
+into proprietary programs. If your program is a subroutine library, you
+may consider it more useful to permit linking proprietary applications with
+the library. If this is what you want to do, use the GNU Lesser General
+Public License instead of this License. But first, please read
+.
\ No newline at end of file
diff --git a/demo_android_ncnn/README.md b/demo_android_ncnn/README.md
new file mode 100644
index 000000000..e9f433d71
--- /dev/null
+++ b/demo_android_ncnn/README.md
@@ -0,0 +1,17 @@
+# YOLOv5 NCNN Implementation
+
+This repo provides C++ implementation of [YOLOv5 model](https://github.com/ultralytics/yolov5) using
+Tencent's NCNN framework.
+
+# Notes
+
+Currently NCNN does not support Slice operations with steps, therefore I removed the Slice operation
+and replaced the input with a downscaled image and stacked it to match the channel number. This
+may slightly reduce the accuracy.
+
+# Credits
+
+* [YOLOv5 by Ultralytics](https://github.com/ultralytics/yolov5)
+* [NCNN by Tencent](https://github.com/tencent/ncnn)
+
+仅供学习。
diff --git a/demo_android_ncnn/app/.gitignore b/demo_android_ncnn/app/.gitignore
new file mode 100644
index 000000000..796b96d1c
--- /dev/null
+++ b/demo_android_ncnn/app/.gitignore
@@ -0,0 +1 @@
+/build
diff --git a/demo_android_ncnn/app/build.gradle b/demo_android_ncnn/app/build.gradle
new file mode 100644
index 000000000..70ed795b1
--- /dev/null
+++ b/demo_android_ncnn/app/build.gradle
@@ -0,0 +1,75 @@
+apply plugin: 'com.android.application'
+
+android {
+ compileSdkVersion 29
+ buildToolsVersion "29.0.3"
+ defaultConfig {
+ applicationId "com.rangi.nanodet"
+ minSdkVersion 26
+ targetSdkVersion 29
+ versionCode 1
+ versionName "1.0"
+ testInstrumentationRunner "androidx.test.runner.AndroidJUnitRunner"
+ externalNativeBuild {
+ cmake {
+ cppFlags ""
+ arguments '-DANDROID_PLATFORM=android-24', '-DANDROID_STL=c++_static', '-DANDROID_STL=c++_shared'
+ }
+ }
+
+ ndk {
+ moduleName "WztNcnnJniLog" //编译后会生成 .so
+ ldLibs "log", "z", "m"
+ abiFilters "armeabi-v7a", "arm64-v8a" // opencv库太大只留需要的
+ }
+
+ multiDexEnabled true
+ }
+ buildTypes {
+ release {
+ minifyEnabled false
+ proguardFiles getDefaultProguardFile('proguard-android-optimize.txt'), 'proguard-rules.pro'
+ }
+ }
+ externalNativeBuild {
+ cmake {
+ path "src/main/cpp/CMakeLists.txt"
+ version "3.10.2"
+ }
+ }
+ sourceSets {
+ main {
+ jniLibs.srcDirs = ['libs']
+ }
+ }
+
+ repositories {
+ flatDir {
+ dirs 'libs'
+ }
+ }
+}
+
+dependencies {
+ implementation fileTree(dir: 'libs', include: ['*.jar'])
+ implementation 'androidx.appcompat:appcompat:1.1.0'
+ implementation 'androidx.constraintlayout:constraintlayout:1.1.3'
+ testImplementation 'junit:junit:4.12'
+ androidTestImplementation 'androidx.test.ext:junit:1.1.1'
+ androidTestImplementation 'androidx.test.espresso:espresso-core:3.2.0'
+
+ // Use the most recent version of CameraX, currently that is alpha04
+ def camerax_version = "1.0.0-alpha05"
+ //noinspection GradleDependency
+ implementation "androidx.camera:camera-core:${camerax_version}"
+ //noinspection GradleDependency
+ implementation "androidx.camera:camera-camera2:${camerax_version}"
+
+ implementation 'com.android.support:multidex:1.0.3'
+ // crash
+ implementation 'com.zxy.android:recovery:1.0.0'
+ // photoview
+ implementation 'com.github.chrisbanes:PhotoView:2.3.0'
+// implementation 'com.bm.photoview:library:1.4.1'
+
+}
diff --git a/demo_android_ncnn/app/proguard-rules.pro b/demo_android_ncnn/app/proguard-rules.pro
new file mode 100644
index 000000000..f1b424510
--- /dev/null
+++ b/demo_android_ncnn/app/proguard-rules.pro
@@ -0,0 +1,21 @@
+# Add project specific ProGuard rules here.
+# You can control the set of applied configuration files using the
+# proguardFiles setting in build.gradle.
+#
+# For more details, see
+# http://developer.android.com/guide/developing/tools/proguard.html
+
+# If your project uses WebView with JS, uncomment the following
+# and specify the fully qualified class name to the JavaScript interface
+# class:
+#-keepclassmembers class fqcn.of.javascript.interface.for.webview {
+# public *;
+#}
+
+# Uncomment this to preserve the line number information for
+# debugging stack traces.
+#-keepattributes SourceFile,LineNumberTable
+
+# If you keep the line number information, uncomment this to
+# hide the original source file name.
+#-renamesourcefileattribute SourceFile
diff --git a/demo_android_ncnn/app/src/androidTest/java/com/rangi/nanodet/ExampleInstrumentedTest.java b/demo_android_ncnn/app/src/androidTest/java/com/rangi/nanodet/ExampleInstrumentedTest.java
new file mode 100644
index 000000000..f071f5be9
--- /dev/null
+++ b/demo_android_ncnn/app/src/androidTest/java/com/rangi/nanodet/ExampleInstrumentedTest.java
@@ -0,0 +1,27 @@
+package com.rangi.nanodet;
+
+import android.content.Context;
+
+import androidx.test.platform.app.InstrumentationRegistry;
+import androidx.test.ext.junit.runners.AndroidJUnit4;
+
+import org.junit.Test;
+import org.junit.runner.RunWith;
+
+import static org.junit.Assert.*;
+
+/**
+ * Instrumented test, which will execute on an Android device.
+ *
+ * @see Testing documentation
+ */
+@RunWith(AndroidJUnit4.class)
+public class ExampleInstrumentedTest {
+ @Test
+ public void useAppContext() {
+ // Context of the app under test.
+ Context appContext = InstrumentationRegistry.getInstrumentation().getTargetContext();
+
+ assertEquals("gd.hq.yolov5", appContext.getPackageName());
+ }
+}
diff --git a/demo_android_ncnn/app/src/main/AndroidManifest.xml b/demo_android_ncnn/app/src/main/AndroidManifest.xml
new file mode 100644
index 000000000..281458369
--- /dev/null
+++ b/demo_android_ncnn/app/src/main/AndroidManifest.xml
@@ -0,0 +1,30 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/demo_android_ncnn/app/src/main/cpp/CMakeLists.txt b/demo_android_ncnn/app/src/main/cpp/CMakeLists.txt
new file mode 100644
index 000000000..ba51a435c
--- /dev/null
+++ b/demo_android_ncnn/app/src/main/cpp/CMakeLists.txt
@@ -0,0 +1,102 @@
+# For more information about using CMake with Android Studio, read the
+# documentation: https://d.android.com/studio/projects/add-native-code.html
+
+# Sets the minimum version of CMake required to build the native library.
+
+cmake_minimum_required(VERSION 3.4.1)
+set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fopenmp")
+set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -fopenmp")
+if(DEFINED ANDROID_NDK_MAJOR AND ${ANDROID_NDK_MAJOR} GREATER 20)
+ set(CMAKE_SHARED_LINKER_FLAGS "${CMAKE_SHARED_LINKER_FLAGS} -static-openmp")
+endif()
+# Creates and names a library, sets it as either STATIC
+# or SHARED, and provides the relative paths to its source code.
+# You can define multiple libraries, and CMake builds them for you.
+# Gradle automatically packages shared libraries with your APK.
+
+add_library( # Sets the name of the library.
+ yolov5
+
+ # Sets the library as a shared library.
+ SHARED
+
+ # Provides a relative path to your source file(s).
+ jni_interface.cpp
+ YoloV5.cpp
+ YoloV4.cpp
+ NanoDet.cpp
+ )
+
+include_directories(
+ ncnnvulkan/include
+# ocr
+)
+# Searches for a specified prebuilt library and stores the path as a
+# variable. Because CMake includes system libraries in the search path by
+# default, you only need to specify the name of the public NDK library
+# you want to add. CMake verifies that the library exists before
+# completing its build.
+
+find_library(log-lib log)
+find_library(android-lib android)
+find_library(vulkan-lib vulkan)
+find_library(jnigraphics-lib jnigraphics)
+add_library( ncnn STATIC IMPORTED )
+set_target_properties( # Specifies the target library.
+ ncnn
+
+ # Specifies the parameter you want to define.
+ PROPERTIES IMPORTED_LOCATION
+
+ # Provides the path to the library you want to import.
+ ${CMAKE_SOURCE_DIR}/ncnnvulkan/${ANDROID_ABI}/libncnn.a )
+
+
+# ncnnvulkan
+add_library(glslang STATIC IMPORTED)
+add_library(OGLCompiler STATIC IMPORTED)
+add_library(OSDependent STATIC IMPORTED)
+add_library(SPIRV STATIC IMPORTED)
+set_target_properties(glslang PROPERTIES IMPORTED_LOCATION ${CMAKE_SOURCE_DIR}/ncnnvulkan/${ANDROID_ABI}/libglslang.a)
+set_target_properties(OGLCompiler PROPERTIES IMPORTED_LOCATION ${CMAKE_SOURCE_DIR}/ncnnvulkan/${ANDROID_ABI}/libOGLCompiler.a)
+set_target_properties(OSDependent PROPERTIES IMPORTED_LOCATION ${CMAKE_SOURCE_DIR}/ncnnvulkan/${ANDROID_ABI}/libOSDependent.a)
+set_target_properties(SPIRV PROPERTIES IMPORTED_LOCATION ${CMAKE_SOURCE_DIR}/ncnnvulkan/${ANDROID_ABI}/libSPIRV.a)
+
+
+#include_directories(
+# ${CMAKE_SOURCE_DIR}/opencv/include/
+#)
+#add_library(libopencv_java4 STATIC IMPORTED)
+#set_target_properties(
+# libopencv_java4
+# PROPERTIES IMPORTED_LOCATION
+# ${CMAKE_SOURCE_DIR}/opencv/${ANDROID_ABI}/libopencv_java4.so
+# )
+target_link_libraries( # Specifies the target library.
+ yolov5
+
+ # Links the target library to the log library
+ # included in the NDK.
+ ${log-lib}
+ ${vulkan-lib}
+ ${android-lib}
+ ${jnigraphics-lib}
+# libopencv_java4
+ )
+
+
+# Specifies libraries CMake should link to your target library. You
+# can link multiple libraries, such as libraries you define in this
+# build script, prebuilt third-party libraries, or system libraries.
+
+target_link_libraries( # Specifies the target library.
+ yolov5
+
+ # Links the target library to the log library
+ # included in the NDK.
+ ${log-lib}
+ ${vulkan-lib}
+ ${android-lib}
+ ${jnigraphics-lib}
+ ncnn
+ glslang SPIRV OGLCompiler OSDependent )
\ No newline at end of file
diff --git a/demo_android_ncnn/app/src/main/cpp/NanoDet.cpp b/demo_android_ncnn/app/src/main/cpp/NanoDet.cpp
new file mode 100644
index 000000000..f53276896
--- /dev/null
+++ b/demo_android_ncnn/app/src/main/cpp/NanoDet.cpp
@@ -0,0 +1,202 @@
+//
+// Create by RangiLyu
+// 2020 / 10 / 2
+//
+#include "NanoDet.h"
+
+bool NanoDet::hasGPU = true;
+NanoDet* NanoDet::detector = nullptr;
+
+inline float fast_exp(float x)
+{
+ union {
+ uint32_t i;
+ float f;
+ } v{};
+ v.i = (1 << 23) * (1.4426950409 * x + 126.93490512f);
+ return v.f;
+}
+
+inline float sigmoid(float x)
+{
+ return 1.0f / (1.0f + fast_exp(-x));
+}
+
+template
+int activation_function_softmax(const _Tp* src, _Tp* dst, int length)
+{
+ const _Tp alpha = *std::max_element(src, src + length);
+ _Tp denominator{ 0 };
+
+ for (int i = 0; i < length; ++i) {
+ dst[i] = fast_exp(src[i] - alpha);
+ denominator += dst[i];
+ }
+
+ for (int i = 0; i < length; ++i) {
+ dst[i] /= denominator;
+ }
+
+ return 0;
+}
+
+NanoDet::NanoDet(AAssetManager *mgr, const char *param, const char *bin, bool useGPU) {
+ this->Net = new ncnn::Net();
+ // opt 需要在加载前设置
+ hasGPU = ncnn::get_gpu_count() > 0;
+ this->Net->opt.use_vulkan_compute = false; //hasGPU && useGPU; // gpu
+ this->Net->opt.use_fp16_arithmetic = true; // fp16运算加速
+ this->Net->opt.use_fp16_packed = true;
+ this->Net->opt.use_fp16_storage = true;
+ this->Net->load_param(mgr, param);
+ this->Net->load_model(mgr, bin);
+}
+
+NanoDet::~NanoDet()
+{
+ delete this->Net;
+}
+
+void NanoDet::preprocess(JNIEnv *env, jobject image, ncnn::Mat& in)
+{
+ in = ncnn::Mat::from_android_bitmap_resize(env, image, ncnn::Mat::PIXEL_RGBA2BGR, input_size, input_size);
+// in = ncnn::Mat::from_pixels(image.data, ncnn::Mat::PIXEL_BGR, img_w, img_h);
+ //in = ncnn::Mat::from_pixels_resize(image.data, ncnn::Mat::PIXEL_BGR, img_w, img_h, this->input_width, this->input_height);
+
+ const float mean_vals[3] = { 104.04f, 113.9f, 119.8f };
+ const float norm_vals[3] = { 0.013569f, 0.014312f, 0.014106f };
+ in.substract_mean_normalize(mean_vals, norm_vals);
+}
+
+std::vector NanoDet::detect(JNIEnv *env, jobject image, float score_threshold, float nms_threshold) {
+ AndroidBitmapInfo img_size;
+ AndroidBitmap_getInfo(env, image, &img_size);
+ float width_ratio = (float) img_size.width / (float) this->input_size;
+ float height_ratio = (float) img_size.height / (float) this->input_size;
+
+ ncnn::Mat input;
+ this->preprocess(env, image, input);
+
+ auto ex = this->Net->create_extractor();
+ ex.set_light_mode(true);
+ ex.set_num_threads(4);
+ hasGPU = ncnn::get_gpu_count() > 0;
+ //ex.set_vulkan_compute(hasGPU);
+ ex.input("input.1", input);
+ std::vector> results;
+ results.resize(this->num_class);
+
+ for (const auto& head_info : this->heads_info)
+ {
+ ncnn::Mat dis_pred;
+ ncnn::Mat cls_pred;
+ ex.extract(head_info.dis_layer.c_str(), dis_pred);
+ ex.extract(head_info.cls_layer.c_str(), cls_pred);
+
+ this->decode_infer(cls_pred, dis_pred, head_info.stride, score_threshold, results, width_ratio, height_ratio);
+ }
+
+ std::vector dets;
+ for (int i = 0; i < (int)results.size(); i++)
+ {
+ this->nms(results[i], nms_threshold);
+
+ for (auto box : results[i])
+ {
+ dets.push_back(box);
+ }
+ }
+ return dets;
+}
+
+
+void NanoDet::decode_infer(ncnn::Mat& cls_pred, ncnn::Mat& dis_pred, int stride, float threshold, std::vector>& results, float width_ratio, float height_ratio)
+{
+ int feature_h = this->input_size / stride;
+ int feature_w = this->input_size / stride;
+
+ //cv::Mat debug_heatmap = cv::Mat(feature_h, feature_w, CV_8UC3);
+ for (int idx = 0; idx < feature_h * feature_w; idx++)
+ {
+ const float* scores = cls_pred.row(idx);
+ int row = idx / feature_w;
+ int col = idx % feature_w;
+ float score = 0;
+ int cur_label = 0;
+ for (int label = 0; label < this->num_class; label++)
+ {
+ if (scores[label] > score)
+ {
+ score = scores[label];
+ cur_label = label;
+ }
+ }
+ if (score > threshold)
+ {
+ //std::cout << "label:" << cur_label << " score:" << score << std::endl;
+ const float* bbox_pred = dis_pred.row(idx);
+ results[cur_label].push_back(this->disPred2Bbox(bbox_pred, cur_label, score, col, row, stride, width_ratio, height_ratio));
+ //debug_heatmap.at(row, col)[0] = 255;
+ //cv::imshow("debug", debug_heatmap);
+ }
+
+ }
+}
+
+BoxInfo NanoDet::disPred2Bbox(const float*& dfl_det, int label, float score, int x, int y, int stride, float width_ratio, float height_ratio)
+{
+ float ct_x = (x + 0.5) * stride;
+ float ct_y = (y + 0.5) * stride;
+ std::vector dis_pred;
+ dis_pred.resize(4);
+ for (int i = 0; i < 4; i++)
+ {
+ float dis = 0;
+ float* dis_after_sm = new float[this->reg_max + 1];
+ activation_function_softmax(dfl_det + i * (this->reg_max + 1), dis_after_sm, this->reg_max + 1);
+ for (int j = 0; j < this->reg_max + 1; j++)
+ {
+ dis += j * dis_after_sm[j];
+ }
+ dis *= stride;
+ //std::cout << "dis:" << dis << std::endl;
+ dis_pred[i] = dis;
+ delete[] dis_after_sm;
+ }
+ float xmin = (std::max)(ct_x - dis_pred[0], .0f) * width_ratio;
+ float ymin = (std::max)(ct_y - dis_pred[1], .0f) * height_ratio;
+ float xmax = (std::min)(ct_x + dis_pred[2], (float)this->input_size) * width_ratio;
+ float ymax = (std::min)(ct_y + dis_pred[3], (float)this->input_size) * height_ratio;
+
+ //std::cout << xmin << "," << ymin << "," << xmax << "," << xmax << "," << std::endl;
+ return BoxInfo { xmin, ymin, xmax, ymax, score, label };
+}
+
+void NanoDet::nms(std::vector& input_boxes, float NMS_THRESH)
+{
+ std::sort(input_boxes.begin(), input_boxes.end(), [](BoxInfo a, BoxInfo b) { return a.score > b.score; });
+ std::vector vArea(input_boxes.size());
+ for (int i = 0; i < int(input_boxes.size()); ++i) {
+ vArea[i] = (input_boxes.at(i).x2 - input_boxes.at(i).x1 + 1)
+ * (input_boxes.at(i).y2 - input_boxes.at(i).y1 + 1);
+ }
+ for (int i = 0; i < int(input_boxes.size()); ++i) {
+ for (int j = i + 1; j < int(input_boxes.size());) {
+ float xx1 = (std::max)(input_boxes[i].x1, input_boxes[j].x1);
+ float yy1 = (std::max)(input_boxes[i].y1, input_boxes[j].y1);
+ float xx2 = (std::min)(input_boxes[i].x2, input_boxes[j].x2);
+ float yy2 = (std::min)(input_boxes[i].y2, input_boxes[j].y2);
+ float w = (std::max)(float(0), xx2 - xx1 + 1);
+ float h = (std::max)(float(0), yy2 - yy1 + 1);
+ float inter = w * h;
+ float ovr = inter / (vArea[i] + vArea[j] - inter);
+ if (ovr >= NMS_THRESH) {
+ input_boxes.erase(input_boxes.begin() + j);
+ vArea.erase(vArea.begin() + j);
+ }
+ else {
+ j++;
+ }
+ }
+ }
+}
diff --git a/demo_android_ncnn/app/src/main/cpp/NanoDet.h b/demo_android_ncnn/app/src/main/cpp/NanoDet.h
new file mode 100644
index 000000000..40759b97c
--- /dev/null
+++ b/demo_android_ncnn/app/src/main/cpp/NanoDet.h
@@ -0,0 +1,60 @@
+//
+// Create by RangiLyu
+// 2020 / 10 / 2
+//
+
+#ifndef NANODET_H
+#define NANODET_H
+
+#include "ncnn/net.h"
+#include "YoloV5.h"
+
+typedef struct HeadInfo
+{
+ std::string cls_layer;
+ std::string dis_layer;
+ int stride;
+};
+
+
+class NanoDet{
+public:
+ NanoDet(AAssetManager *mgr, const char *param, const char *bin, bool useGPU);
+
+ ~NanoDet();
+
+ std::vector detect(JNIEnv *env, jobject image, float score_threshold, float nms_threshold);
+ std::vector labels{"person", "bicycle", "car", "motorcycle", "airplane", "bus", "train", "truck", "boat", "traffic light",
+ "fire hydrant", "stop sign", "parking meter", "bench", "bird", "cat", "dog", "horse", "sheep", "cow",
+ "elephant", "bear", "zebra", "giraffe", "backpack", "umbrella", "handbag", "tie", "suitcase", "frisbee",
+ "skis", "snowboard", "sports ball", "kite", "baseball bat", "baseball glove", "skateboard", "surfboard",
+ "tennis racket", "bottle", "wine glass", "cup", "fork", "knife", "spoon", "bowl", "banana", "apple",
+ "sandwich", "orange", "broccoli", "carrot", "hot dog", "pizza", "donut", "cake", "chair", "couch",
+ "potted plant", "bed", "dining table", "toilet", "tv", "laptop", "mouse", "remote", "keyboard", "cell phone",
+ "microwave", "oven", "toaster", "sink", "refrigerator", "book", "clock", "vase", "scissors", "teddy bear",
+ "hair drier", "toothbrush"};
+private:
+ void preprocess(JNIEnv *env, jobject image, ncnn::Mat& in);
+ void decode_infer(ncnn::Mat& cls_pred, ncnn::Mat& dis_pred, int stride, float threshold, std::vector>& results, float width_ratio, float height_ratio);
+ BoxInfo disPred2Bbox(const float*& dfl_det, int label, float score, int x, int y, int stride, float width_ratio, float height_ratio);
+
+ static void nms(std::vector& result, float nms_threshold);
+
+ ncnn::Net *Net;
+ int input_size = 320;
+ int num_class = 80;
+ int reg_max = 10;
+ std::vector heads_info{
+ // cls_pred|dis_pred|stride
+ {"839", "842", 8},
+ {"872", "875", 16},
+ {"905", "908", 32},
+ };
+
+public:
+ static NanoDet *detector;
+ static bool hasGPU;
+};
+
+
+#endif //NANODET_H
diff --git a/demo_android_ncnn/app/src/main/cpp/YoloV4.cpp b/demo_android_ncnn/app/src/main/cpp/YoloV4.cpp
new file mode 100644
index 000000000..ef2a87115
--- /dev/null
+++ b/demo_android_ncnn/app/src/main/cpp/YoloV4.cpp
@@ -0,0 +1,72 @@
+#include "YoloV4.h"
+
+bool YoloV4::hasGPU = true;
+YoloV4 *YoloV4::detector = nullptr;
+
+YoloV4::YoloV4(AAssetManager *mgr, const char *param, const char *bin, bool useGPU) {
+ Net = new ncnn::Net();
+ // opt 需要在加载前设置
+ hasGPU = ncnn::get_gpu_count() > 0;
+ Net->opt.use_vulkan_compute = hasGPU && useGPU; // gpu
+ Net->opt.use_fp16_arithmetic = true; // fp16运算加速
+ Net->load_param(mgr, param);
+ Net->load_model(mgr, bin);
+}
+
+YoloV4::~YoloV4() {
+ delete Net;
+}
+
+std::vector YoloV4::detect(JNIEnv *env, jobject image, float threshold, float nms_threshold) {
+ AndroidBitmapInfo img_size;
+ AndroidBitmap_getInfo(env, image, &img_size);
+ ncnn::Mat in_net = ncnn::Mat::from_android_bitmap_resize(env, image, ncnn::Mat::PIXEL_RGBA2RGB, input_size,
+ input_size);
+ float norm[3] = {1 / 255.f, 1 / 255.f, 1 / 255.f};
+ float mean[3] = {0, 0, 0};
+ in_net.substract_mean_normalize(mean, norm);
+ auto ex = Net->create_extractor();
+ ex.set_light_mode(true);
+ ex.set_num_threads(4);
+ hasGPU = ncnn::get_gpu_count() > 0;
+ ex.set_vulkan_compute(hasGPU);
+ ex.input(0, in_net);
+ std::vector result;
+ ncnn::Mat blob;
+ ex.extract("output", blob);
+ auto boxes = decode_infer(blob, {(int) img_size.width, (int) img_size.height}, input_size, num_class, threshold);
+ result.insert(result.begin(), boxes.begin(), boxes.end());
+// nms(result,nms_threshold);
+ return result;
+}
+
+inline float fast_exp(float x) {
+ union {
+ uint32_t i;
+ float f;
+ } v{};
+ v.i = (1 << 23) * (1.4426950409 * x + 126.93490512f);
+ return v.f;
+}
+
+inline float sigmoid(float x) {
+ return 1.0f / (1.0f + fast_exp(-x));
+}
+
+std::vector
+YoloV4::decode_infer(ncnn::Mat &data, const yolocv::YoloSize &frame_size, int net_size, int num_classes, float threshold) {
+ std::vector result;
+ for (int i = 0; i < data.h; i++) {
+ BoxInfo box;
+ const float *values = data.row(i);
+ box.label = values[0] - 1;
+ box.score = values[1];
+ box.x1 = values[2] * (float) frame_size.width;
+ box.y1 = values[3] * (float) frame_size.height;
+ box.x2 = values[4] * (float) frame_size.width;
+ box.y2 = values[5] * (float) frame_size.height;
+ result.push_back(box);
+ }
+ return result;
+}
+
diff --git a/demo_android_ncnn/app/src/main/cpp/YoloV4.h b/demo_android_ncnn/app/src/main/cpp/YoloV4.h
new file mode 100644
index 000000000..7eee00150
--- /dev/null
+++ b/demo_android_ncnn/app/src/main/cpp/YoloV4.h
@@ -0,0 +1,38 @@
+#ifndef YOLOV4_H
+#define YOLOV4_H
+
+#include "ncnn/net.h"
+#include "YoloV5.h"
+
+
+class YoloV4 {
+public:
+ YoloV4(AAssetManager *mgr, const char *param, const char *bin, bool useGPU);
+
+ ~YoloV4();
+
+ std::vector detect(JNIEnv *env, jobject image, float threshold, float nms_threshold);
+ std::vector labels{"person", "bicycle", "car", "motorcycle", "airplane", "bus", "train", "truck", "boat", "traffic light",
+ "fire hydrant", "stop sign", "parking meter", "bench", "bird", "cat", "dog", "horse", "sheep", "cow",
+ "elephant", "bear", "zebra", "giraffe", "backpack", "umbrella", "handbag", "tie", "suitcase", "frisbee",
+ "skis", "snowboard", "sports ball", "kite", "baseball bat", "baseball glove", "skateboard", "surfboard",
+ "tennis racket", "bottle", "wine glass", "cup", "fork", "knife", "spoon", "bowl", "banana", "apple",
+ "sandwich", "orange", "broccoli", "carrot", "hot dog", "pizza", "donut", "cake", "chair", "couch",
+ "potted plant", "bed", "dining table", "toilet", "tv", "laptop", "mouse", "remote", "keyboard", "cell phone",
+ "microwave", "oven", "toaster", "sink", "refrigerator", "book", "clock", "vase", "scissors", "teddy bear",
+ "hair drier", "toothbrush"};
+private:
+ static std::vector
+ decode_infer(ncnn::Mat &data, const yolocv::YoloSize &frame_size, int net_size, int num_classes, float threshold);
+
+// static void nms(std::vector& result,float nms_threshold);
+ ncnn::Net *Net;
+ int input_size = 640 / 2;
+ int num_class = 80;
+public:
+ static YoloV4 *detector;
+ static bool hasGPU;
+};
+
+
+#endif //YOLOV4_H
diff --git a/demo_android_ncnn/app/src/main/cpp/YoloV5.cpp b/demo_android_ncnn/app/src/main/cpp/YoloV5.cpp
new file mode 100644
index 000000000..0a6642d56
--- /dev/null
+++ b/demo_android_ncnn/app/src/main/cpp/YoloV5.cpp
@@ -0,0 +1,132 @@
+//
+// Created by 邓昊晴 on 14/6/2020.
+//
+
+#include "YoloV5.h"
+
+bool YoloV5::hasGPU = true;
+YoloV5 *YoloV5::detector = nullptr;
+
+YoloV5::YoloV5(AAssetManager *mgr, const char *param, const char *bin, bool useGPU) {
+ Net = new ncnn::Net();
+ // opt 需要在加载前设置
+ hasGPU = ncnn::get_gpu_count() > 0;
+ Net->opt.use_vulkan_compute = hasGPU && useGPU; // gpu
+ Net->opt.use_fp16_arithmetic = true; // fp16运算加速
+ Net->load_param(mgr, param);
+ Net->load_model(mgr, bin);
+}
+
+YoloV5::~YoloV5() {
+ delete Net;
+}
+
+std::vector YoloV5::detect(JNIEnv *env, jobject image, float threshold, float nms_threshold) {
+ AndroidBitmapInfo img_size;
+ AndroidBitmap_getInfo(env, image, &img_size);
+// ncnn::Mat in_net = ncnn::Mat::from_android_bitmap_resize(env,image,ncnn::Mat::PIXEL_BGR2RGB,input_size/2,input_size/2);
+ ncnn::Mat in_net = ncnn::Mat::from_android_bitmap_resize(env, image, ncnn::Mat::PIXEL_RGBA2RGB, input_size / 2,
+ input_size / 2);
+ float norm[3] = {1 / 255.f, 1 / 255.f, 1 / 255.f};
+ float mean[3] = {0, 0, 0};
+ in_net.substract_mean_normalize(mean, norm);
+ auto ex = Net->create_extractor();
+ ex.set_light_mode(true);
+ ex.set_num_threads(4);
+ hasGPU = ncnn::get_gpu_count() > 0;
+ ex.set_vulkan_compute(hasGPU);
+ ex.input(0, in_net);
+ std::vector result;
+ for (const auto &layer: layers) {
+ ncnn::Mat blob;
+ ex.extract(layer.name.c_str(), blob);
+ auto boxes = decode_infer(blob, layer.stride, {(int) img_size.width, (int) img_size.height}, input_size,
+ num_class, layer.anchors, threshold);
+ result.insert(result.begin(), boxes.begin(), boxes.end());
+ }
+ nms(result, nms_threshold);
+ return result;
+}
+
+inline float fast_exp(float x) {
+ union {
+ uint32_t i;
+ float f;
+ } v{};
+ v.i = (1 << 23) * (1.4426950409 * x + 126.93490512f);
+ return v.f;
+}
+
+inline float sigmoid(float x) {
+ return 1.0f / (1.0f + fast_exp(-x));
+}
+
+std::vector
+YoloV5::decode_infer(ncnn::Mat &data, int stride, const yolocv::YoloSize &frame_size, int net_size, int num_classes,
+ const std::vector &anchors, float threshold) {
+ std::vector result;
+ int grid_size = int(sqrt(data.h));
+ float *mat_data[data.c];
+ for (int i = 0; i < data.c; i++) {
+ mat_data[i] = data.channel(i);
+ }
+ float cx, cy, w, h;
+ for (int shift_y = 0; shift_y < grid_size; shift_y++) {
+ for (int shift_x = 0; shift_x < grid_size; shift_x++) {
+ int loc = shift_x + shift_y * grid_size;
+ for (int i = 0; i < 3; i++) {
+ float *record = mat_data[i];
+ float *cls_ptr = record + 5;
+ for (int cls = 0; cls < num_classes; cls++) {
+ float score = sigmoid(cls_ptr[cls]) * sigmoid(record[4]);
+ if (score > threshold) {
+ cx = (sigmoid(record[0]) * 2.f - 0.5f + (float) shift_x) * (float) stride;
+ cy = (sigmoid(record[1]) * 2.f - 0.5f + (float) shift_y) * (float) stride;
+ w = pow(sigmoid(record[2]) * 2.f, 2) * anchors[i].width;
+ h = pow(sigmoid(record[3]) * 2.f, 2) * anchors[i].height;
+ //printf("[grid size=%d, stride = %d]x y w h %f %f %f %f\n",grid_size,stride,record[0],record[1],record[2],record[3]);
+ BoxInfo box;
+ box.x1 = std::max(0, std::min(frame_size.width, int((cx - w / 2.f) * (float) frame_size.width / (float) net_size)));
+ box.y1 = std::max(0, std::min(frame_size.height, int((cy - h / 2.f) * (float) frame_size.height / (float) net_size)));
+ box.x2 = std::max(0, std::min(frame_size.width, int((cx + w / 2.f) * (float) frame_size.width / (float) net_size)));
+ box.y2 = std::max(0, std::min(frame_size.height, int((cy + h / 2.f) * (float) frame_size.height / (float) net_size)));
+ box.score = score;
+ box.label = cls;
+ result.push_back(box);
+ }
+ }
+ }
+ for (auto &ptr:mat_data) {
+ ptr += (num_classes + 5);
+ }
+ }
+ }
+ return result;
+}
+
+void YoloV5::nms(std::vector &input_boxes, float NMS_THRESH) {
+ std::sort(input_boxes.begin(), input_boxes.end(), [](BoxInfo a, BoxInfo b) { return a.score > b.score; });
+ std::vector vArea(input_boxes.size());
+ for (int i = 0; i < int(input_boxes.size()); ++i) {
+ vArea[i] = (input_boxes.at(i).x2 - input_boxes.at(i).x1 + 1)
+ * (input_boxes.at(i).y2 - input_boxes.at(i).y1 + 1);
+ }
+ for (int i = 0; i < int(input_boxes.size()); ++i) {
+ for (int j = i + 1; j < int(input_boxes.size());) {
+ float xx1 = std::max(input_boxes[i].x1, input_boxes[j].x1);
+ float yy1 = std::max(input_boxes[i].y1, input_boxes[j].y1);
+ float xx2 = std::min(input_boxes[i].x2, input_boxes[j].x2);
+ float yy2 = std::min(input_boxes[i].y2, input_boxes[j].y2);
+ float w = std::max(float(0), xx2 - xx1 + 1);
+ float h = std::max(float(0), yy2 - yy1 + 1);
+ float inter = w * h;
+ float ovr = inter / (vArea[i] + vArea[j] - inter);
+ if (ovr >= NMS_THRESH) {
+ input_boxes.erase(input_boxes.begin() + j);
+ vArea.erase(vArea.begin() + j);
+ } else {
+ j++;
+ }
+ }
+ }
+}
diff --git a/demo_android_ncnn/app/src/main/cpp/YoloV5.h b/demo_android_ncnn/app/src/main/cpp/YoloV5.h
new file mode 100644
index 000000000..09397b0fa
--- /dev/null
+++ b/demo_android_ncnn/app/src/main/cpp/YoloV5.h
@@ -0,0 +1,70 @@
+//
+// Created by 邓昊晴 on 14/6/2020.
+//
+
+#ifndef YOLOV5_H
+#define YOLOV5_H
+
+#include "ncnn/net.h"
+
+namespace yolocv {
+ typedef struct {
+ int width;
+ int height;
+ } YoloSize;
+}
+
+typedef struct {
+ std::string name;
+ int stride;
+ std::vector anchors;
+} YoloLayerData;
+
+typedef struct BoxInfo {
+ float x1;
+ float y1;
+ float x2;
+ float y2;
+ float score;
+ int label;
+} BoxInfo;
+
+class YoloV5 {
+public:
+ YoloV5(AAssetManager *mgr, const char *param, const char *bin, bool useGPU);
+
+ ~YoloV5();
+
+ std::vector detect(JNIEnv *env, jobject image, float threshold, float nms_threshold);
+ std::vector labels{"person", "bicycle", "car", "motorcycle", "airplane", "bus", "train", "truck", "boat", "traffic light",
+ "fire hydrant", "stop sign", "parking meter", "bench", "bird", "cat", "dog", "horse", "sheep", "cow",
+ "elephant", "bear", "zebra", "giraffe", "backpack", "umbrella", "handbag", "tie", "suitcase", "frisbee",
+ "skis", "snowboard", "sports ball", "kite", "baseball bat", "baseball glove", "skateboard", "surfboard",
+ "tennis racket", "bottle", "wine glass", "cup", "fork", "knife", "spoon", "bowl", "banana", "apple",
+ "sandwich", "orange", "broccoli", "carrot", "hot dog", "pizza", "donut", "cake", "chair", "couch",
+ "potted plant", "bed", "dining table", "toilet", "tv", "laptop", "mouse", "remote", "keyboard", "cell phone",
+ "microwave", "oven", "toaster", "sink", "refrigerator", "book", "clock", "vase", "scissors", "teddy bear",
+ "hair drier", "toothbrush"};
+private:
+ static std::vector
+ decode_infer(ncnn::Mat &data, int stride, const yolocv::YoloSize &frame_size, int net_size, int num_classes,
+ const std::vector &anchors, float threshold);
+
+ static void nms(std::vector &result, float nms_threshold);
+
+ ncnn::Net *Net;
+ int input_size = 640;
+ int num_class = 80;
+ std::vector layers{
+ {"394", 32, {{116, 90}, {156, 198}, {373, 326}}},
+ {"375", 16, {{30, 61}, {62, 45}, {59, 119}}},
+ {"output", 8, {{10, 13}, {16, 30}, {33, 23}}},
+ };
+
+public:
+ static YoloV5 *detector;
+ static bool hasGPU;
+};
+
+
+#endif //YOLOV5_H
diff --git a/demo_android_ncnn/app/src/main/cpp/jni_interface.cpp b/demo_android_ncnn/app/src/main/cpp/jni_interface.cpp
new file mode 100644
index 000000000..6e48460ff
--- /dev/null
+++ b/demo_android_ncnn/app/src/main/cpp/jni_interface.cpp
@@ -0,0 +1,126 @@
+#include
+#include
+#include
+#include
+#include
+#include "YoloV5.h"
+#include "YoloV4.h"
+#include "NanoDet.h"
+
+
+JNIEXPORT jint JNI_OnLoad(JavaVM *vm, void *reserved) {
+ ncnn::create_gpu_instance();
+ if (ncnn::get_gpu_count() > 0) {
+ YoloV5::hasGPU = true;
+ YoloV4::hasGPU = true;
+ NanoDet::hasGPU = true;
+ }
+ return JNI_VERSION_1_6;
+}
+
+JNIEXPORT void JNI_OnUnload(JavaVM *vm, void *reserved) {
+ ncnn::destroy_gpu_instance();
+}
+
+
+/*********************************************************************************************
+ Yolov5
+ ********************************************************************************************/
+extern "C" JNIEXPORT void JNICALL
+Java_com_rangi_nanodet_YOLOv5_init(JNIEnv *env, jclass, jobject assetManager, jboolean useGPU) {
+ if (YoloV5::detector == nullptr) {
+ AAssetManager *mgr = AAssetManager_fromJava(env, assetManager);
+ YoloV5::detector = new YoloV5(mgr, "yolov5.param", "yolov5.bin", useGPU);
+ }
+}
+
+extern "C" JNIEXPORT jobjectArray JNICALL
+Java_com_rangi_nanodet_YOLOv5_detect(JNIEnv *env, jclass, jobject image, jdouble threshold, jdouble nms_threshold) {
+ auto result = YoloV5::detector->detect(env, image, threshold, nms_threshold);
+
+ auto box_cls = env->FindClass("com/rangi/nanodet/Box");
+ auto cid = env->GetMethodID(box_cls, "", "(FFFFIF)V");
+ jobjectArray ret = env->NewObjectArray(result.size(), box_cls, nullptr);
+ int i = 0;
+ for (auto &box:result) {
+ env->PushLocalFrame(1);
+ jobject obj = env->NewObject(box_cls, cid, box.x1, box.y1, box.x2, box.y2, box.label, box.score);
+ obj = env->PopLocalFrame(obj);
+ env->SetObjectArrayElement(ret, i++, obj);
+ }
+ return ret;
+}
+
+/*********************************************************************************************
+ YOLOv4-tiny
+ yolov4官方ncnn模型下载地址
+ darknet2ncnn:https://drive.google.com/drive/folders/1YzILvh0SKQPS_lrb33dmGNq7aVTKPWS0
+ ********************************************************************************************/
+
+// 20200813 增加 MobileNetV2-YOLOv3-Nano-coco
+
+extern "C" JNIEXPORT void JNICALL
+Java_com_rangi_nanodet_YOLOv4_init(JNIEnv *env, jclass, jobject assetManager, jboolean v4tiny, jboolean useGPU) {
+ if (YoloV4::detector != nullptr) {
+ delete YoloV4::detector;
+ YoloV4::detector = nullptr;
+ }
+ if (YoloV4::detector == nullptr) {
+ AAssetManager *mgr = AAssetManager_fromJava(env, assetManager);
+ if (v4tiny == 1) {
+ YoloV4::detector = new YoloV4(mgr, "yolov4-tiny-opt.param", "yolov4-tiny-opt.bin", useGPU);
+ } else if (v4tiny == 0) {
+ YoloV4::detector = new YoloV4(mgr, "MobileNetV2-YOLOv3-Nano-coco.param",
+ "MobileNetV2-YOLOv3-Nano-coco.bin", useGPU);
+// YoloV4::detector = new YoloV4(mgr,"export_demo.param","export_demo.bin");
+ }
+ }
+}
+
+extern "C" JNIEXPORT jobjectArray JNICALL
+Java_com_rangi_nanodet_YOLOv4_detect(JNIEnv *env, jclass, jobject image, jdouble threshold, jdouble nms_threshold) {
+ auto result = YoloV4::detector->detect(env, image, threshold, nms_threshold);
+
+ auto box_cls = env->FindClass("com/rangi/nanodet/Box");
+ auto cid = env->GetMethodID(box_cls, "", "(FFFFIF)V");
+ jobjectArray ret = env->NewObjectArray(result.size(), box_cls, nullptr);
+ int i = 0;
+ for (auto &box:result) {
+ env->PushLocalFrame(1);
+ jobject obj = env->NewObject(box_cls, cid, box.x1, box.y1, box.x2, box.y2, box.label, box.score);
+ obj = env->PopLocalFrame(obj);
+ env->SetObjectArrayElement(ret, i++, obj);
+ }
+ return ret;
+}
+
+/*********************************************************************************************
+ NanoDet
+ ********************************************************************************************/
+
+extern "C" JNIEXPORT void JNICALL
+Java_com_rangi_nanodet_NanoDet_init(JNIEnv *env, jclass, jobject assetManager, jboolean useGPU) {
+ if (NanoDet::detector == nullptr) {
+ AAssetManager *mgr = AAssetManager_fromJava(env, assetManager);
+ NanoDet::detector = new NanoDet(mgr, "nanodet.param", "nanodet.bin", useGPU);
+ }
+}
+
+extern "C" JNIEXPORT jobjectArray JNICALL
+Java_com_rangi_nanodet_NanoDet_detect(JNIEnv *env, jclass, jobject image, jdouble threshold, jdouble nms_threshold) {
+ auto result = NanoDet::detector->detect(env, image, threshold, nms_threshold);
+
+ auto box_cls = env->FindClass("com/rangi/nanodet/Box");
+ auto cid = env->GetMethodID(box_cls, "", "(FFFFIF)V");
+ jobjectArray ret = env->NewObjectArray(result.size(), box_cls, nullptr);
+ int i = 0;
+ for (auto &box:result) {
+ env->PushLocalFrame(1);
+ jobject obj = env->NewObject(box_cls, cid, box.x1, box.y1, box.x2, box.y2, box.label, box.score);
+ obj = env->PopLocalFrame(obj);
+ env->SetObjectArrayElement(ret, i++, obj);
+ }
+ return ret;
+}
+
+
diff --git a/demo_android_ncnn/app/src/main/java/com/rangi/nanodet/AppCrashHandler.java b/demo_android_ncnn/app/src/main/java/com/rangi/nanodet/AppCrashHandler.java
new file mode 100644
index 000000000..3296f0be2
--- /dev/null
+++ b/demo_android_ncnn/app/src/main/java/com/rangi/nanodet/AppCrashHandler.java
@@ -0,0 +1,18 @@
+package com.rangi.nanodet;
+
+import androidx.annotation.NonNull;
+
+class AppCrashHandler implements Thread.UncaughtExceptionHandler {
+
+ private Thread.UncaughtExceptionHandler uncaughtExceptionHandler = Thread.getDefaultUncaughtExceptionHandler();
+
+ @Override
+ public void uncaughtException(@NonNull Thread t, @NonNull Throwable e) {
+ uncaughtExceptionHandler.uncaughtException(t, e);
+ }
+
+ public static void register() {
+ Thread.setDefaultUncaughtExceptionHandler(new AppCrashHandler());
+ }
+
+}
diff --git a/demo_android_ncnn/app/src/main/java/com/rangi/nanodet/Box.java b/demo_android_ncnn/app/src/main/java/com/rangi/nanodet/Box.java
new file mode 100644
index 000000000..d065db1ef
--- /dev/null
+++ b/demo_android_ncnn/app/src/main/java/com/rangi/nanodet/Box.java
@@ -0,0 +1,46 @@
+package com.rangi.nanodet;
+
+import android.graphics.Color;
+import android.graphics.RectF;
+
+import java.util.Random;
+
+public class Box {
+ public float x0,y0,x1,y1;
+ private int label;
+ private float score;
+ private static String[] labels={"person", "bicycle", "car", "motorcycle", "airplane", "bus", "train", "truck", "boat", "traffic light",
+ "fire hydrant", "stop sign", "parking meter", "bench", "bird", "cat", "dog", "horse", "sheep", "cow",
+ "elephant", "bear", "zebra", "giraffe", "backpack", "umbrella", "handbag", "tie", "suitcase", "frisbee",
+ "skis", "snowboard", "sports ball", "kite", "baseball bat", "baseball glove", "skateboard", "surfboard",
+ "tennis racket", "bottle", "wine glass", "cup", "fork", "knife", "spoon", "bowl", "banana", "apple",
+ "sandwich", "orange", "broccoli", "carrot", "hot dog", "pizza", "donut", "cake", "chair", "couch",
+ "potted plant", "bed", "dining table", "toilet", "tv", "laptop", "mouse", "remote", "keyboard", "cell phone",
+ "microwave", "oven", "toaster", "sink", "refrigerator", "book", "clock", "vase", "scissors", "teddy bear",
+ "hair drier", "toothbrush"};
+ public Box(float x0,float y0, float x1, float y1, int label, float score){
+ this.x0 = x0;
+ this.y0 = y0;
+ this.x1 = x1;
+ this.y1 = y1;
+ this.label = label;
+ this.score = score;
+ }
+
+ public RectF getRect(){
+ return new RectF(x0,y0,x1,y1);
+ }
+
+ public String getLabel(){
+ return labels[label];
+ }
+
+ public float getScore(){
+ return score;
+ }
+
+ public int getColor(){
+ Random random = new Random(label);
+ return Color.argb(255,random.nextInt(256),random.nextInt(256),random.nextInt(256));
+ }
+}
diff --git a/demo_android_ncnn/app/src/main/java/com/rangi/nanodet/MainActivity.java b/demo_android_ncnn/app/src/main/java/com/rangi/nanodet/MainActivity.java
new file mode 100644
index 000000000..d381c9b1d
--- /dev/null
+++ b/demo_android_ncnn/app/src/main/java/com/rangi/nanodet/MainActivity.java
@@ -0,0 +1,506 @@
+package com.rangi.nanodet;
+
+import androidx.annotation.NonNull;
+import androidx.annotation.Nullable;
+import androidx.appcompat.app.AppCompatActivity;
+import androidx.camera.core.CameraX;
+import androidx.camera.core.ImageAnalysis;
+import androidx.camera.core.ImageAnalysisConfig;
+import androidx.camera.core.ImageProxy;
+import androidx.camera.core.Preview;
+import androidx.camera.core.PreviewConfig;
+import androidx.camera.core.UseCase;
+import androidx.core.app.ActivityCompat;
+import androidx.lifecycle.LifecycleOwner;
+
+import android.Manifest;
+import android.content.Intent;
+import android.content.pm.PackageManager;
+import android.database.Cursor;
+import android.graphics.Bitmap;
+import android.graphics.BitmapFactory;
+import android.graphics.Canvas;
+import android.graphics.ImageFormat;
+import android.graphics.Matrix;
+import android.graphics.Paint;
+import android.graphics.Rect;
+import android.graphics.YuvImage;
+import android.media.ExifInterface;
+import android.net.Uri;
+import android.os.Bundle;
+import android.provider.MediaStore;
+import android.util.Size;
+import android.view.TextureView;
+import android.view.View;
+import android.view.ViewGroup;
+import android.widget.Button;
+import android.widget.ImageView;
+import android.widget.SeekBar;
+import android.widget.TextView;
+import android.widget.Toast;
+
+import java.io.ByteArrayOutputStream;
+import java.io.IOException;
+import java.nio.ByteBuffer;
+import java.util.Locale;
+import java.util.concurrent.ExecutorService;
+import java.util.concurrent.Executors;
+import java.util.concurrent.atomic.AtomicBoolean;
+
+public class MainActivity extends AppCompatActivity {
+ public static int YOLOV5S = 1;
+ public static int YOLOV4_TINY = 2;
+ public static int MOBILENETV2_YOLOV3_NANO = 3;
+ public static int NANODET = 9;
+
+ public static int USE_MODEL = MOBILENETV2_YOLOV3_NANO;
+ public static boolean USE_GPU = false;
+
+ public static CameraX.LensFacing CAMERA_ID = CameraX.LensFacing.BACK;
+
+ private static final int REQUEST_CAMERA = 1;
+ private static final int REQUEST_PICK_IMAGE = 2;
+ private static String[] PERMISSIONS_CAMERA = {
+ Manifest.permission.CAMERA
+ };
+ private ImageView resultImageView;
+ private SeekBar nmsSeekBar;
+ private SeekBar thresholdSeekBar;
+ private TextView thresholdTextview;
+ private TextView tvInfo;
+ private double threshold = 0.3, nms_threshold = 0.7;
+ private TextureView viewFinder;
+
+ private AtomicBoolean detecting = new AtomicBoolean(false);
+ private AtomicBoolean detectPhoto = new AtomicBoolean(false);
+
+ private long startTime = 0;
+ private long endTime = 0;
+ private int width;
+ private int height;
+
+ double total_fps = 0;
+ int fps_count = 0;
+
+ protected Bitmap mutableBitmap;
+
+ ExecutorService detectService = Executors.newSingleThreadExecutor();
+
+ @Override
+ protected void onCreate(Bundle savedInstanceState) {
+ super.onCreate(savedInstanceState);
+ setContentView(R.layout.activity_main);
+ int permission = ActivityCompat.checkSelfPermission(this, Manifest.permission.CAMERA);
+ if (permission != PackageManager.PERMISSION_GRANTED) {
+ // We don't have permission so prompt the user
+ ActivityCompat.requestPermissions(
+ this,
+ PERMISSIONS_CAMERA,
+ REQUEST_CAMERA
+ );
+ finish();
+ }
+ if (USE_MODEL == YOLOV5S) {
+ YOLOv5.init(getAssets(), USE_GPU);
+ } else if (USE_MODEL == YOLOV4_TINY) {
+ YOLOv4.init(getAssets(), true, USE_GPU);
+ } else if (USE_MODEL == MOBILENETV2_YOLOV3_NANO) {
+ YOLOv4.init(getAssets(), false, USE_GPU);
+ } else if (USE_MODEL == NANODET) {
+ NanoDet.init(getAssets(), USE_GPU);
+ }
+ resultImageView = findViewById(R.id.imageView);
+ thresholdTextview = findViewById(R.id.valTxtView);
+ tvInfo = findViewById(R.id.tv_info);
+ nmsSeekBar = findViewById(R.id.nms_seek);
+ thresholdSeekBar = findViewById(R.id.threshold_seek);
+ if (USE_MODEL != YOLOV5S && USE_MODEL != NANODET) {
+ nmsSeekBar.setEnabled(false);
+ thresholdSeekBar.setEnabled(false);
+ } else if (USE_MODEL == YOLOV5S) {
+ threshold = 0.3f;
+ nms_threshold = 0.7f;
+ } else if (USE_MODEL == NANODET) {
+ threshold = 0.4f;
+ nms_threshold = 0.6f;
+ }
+ nmsSeekBar.setProgress((int) (nms_threshold * 100));
+ thresholdSeekBar.setProgress((int) (threshold * 100));
+ final String format = "Thresh: %.2f, NMS: %.2f";
+ thresholdTextview.setText(String.format(Locale.ENGLISH, format, threshold, nms_threshold));
+ nmsSeekBar.setOnSeekBarChangeListener(new SeekBar.OnSeekBarChangeListener() {
+ @Override
+ public void onProgressChanged(SeekBar seekBar, int i, boolean b) {
+ nms_threshold = i / 100.f;
+ thresholdTextview.setText(String.format(Locale.ENGLISH, format, threshold, nms_threshold));
+ }
+
+ @Override
+ public void onStartTrackingTouch(SeekBar seekBar) {
+
+ }
+
+ @Override
+ public void onStopTrackingTouch(SeekBar seekBar) {
+
+ }
+ });
+ thresholdSeekBar.setOnSeekBarChangeListener(new SeekBar.OnSeekBarChangeListener() {
+ @Override
+ public void onProgressChanged(SeekBar seekBar, int i, boolean b) {
+ threshold = i / 100.f;
+ thresholdTextview.setText(String.format(Locale.ENGLISH, format, threshold, nms_threshold));
+ }
+
+ @Override
+ public void onStartTrackingTouch(SeekBar seekBar) {
+
+ }
+
+ @Override
+ public void onStopTrackingTouch(SeekBar seekBar) {
+
+ }
+ });
+ Button inference = findViewById(R.id.button);
+ inference.setOnClickListener(new View.OnClickListener() {
+ @Override
+ public void onClick(View view) {
+ Intent intent = new Intent(Intent.ACTION_PICK);
+ intent.setType("image/*");
+ startActivityForResult(intent, REQUEST_PICK_IMAGE);
+ }
+ });
+
+ resultImageView.setOnClickListener(new View.OnClickListener() {
+ @Override
+ public void onClick(View v) {
+ detectPhoto.set(false);
+ }
+ });
+
+ viewFinder = findViewById(R.id.view_finder);
+ viewFinder.addOnLayoutChangeListener(new View.OnLayoutChangeListener() {
+ @Override
+ public void onLayoutChange(View view, int i, int i1, int i2, int i3, int i4, int i5, int i6, int i7) {
+ updateTransform();
+ }
+ });
+
+ viewFinder.post(new Runnable() {
+ @Override
+ public void run() {
+ startCamera();
+ }
+ });
+ }
+
+ private void updateTransform() {
+ Matrix matrix = new Matrix();
+ // Compute the center of the view finder
+ float centerX = viewFinder.getWidth() / 2f;
+ float centerY = viewFinder.getHeight() / 2f;
+
+ float[] rotations = {0, 90, 180, 270};
+ // Correct preview output to account for display rotation
+ float rotationDegrees = rotations[viewFinder.getDisplay().getRotation()];
+
+ matrix.postRotate(-rotationDegrees, centerX, centerY);
+
+ // Finally, apply transformations to our TextureView
+ viewFinder.setTransform(matrix);
+ }
+
+ private void startCamera() {
+ CameraX.unbindAll();
+ // 1. preview
+ PreviewConfig previewConfig = new PreviewConfig.Builder()
+ .setLensFacing(CAMERA_ID)
+// .setTargetAspectRatio() // 宽高比
+ .setTargetResolution(new Size(320, 320)) // 分辨率
+ .build();
+
+ Preview preview = new Preview(previewConfig);
+ preview.setOnPreviewOutputUpdateListener(new Preview.OnPreviewOutputUpdateListener() {
+ @Override
+ public void onUpdated(Preview.PreviewOutput output) {
+ ViewGroup parent = (ViewGroup) viewFinder.getParent();
+ parent.removeView(viewFinder);
+ parent.addView(viewFinder, 0);
+
+ viewFinder.setSurfaceTexture(output.getSurfaceTexture());
+ updateTransform();
+ }
+ });
+ DetectAnalyzer detectAnalyzer = new DetectAnalyzer();
+ CameraX.bindToLifecycle((LifecycleOwner) this, preview, gainAnalyzer(detectAnalyzer));
+
+ }
+
+
+ private UseCase gainAnalyzer(DetectAnalyzer detectAnalyzer) {
+ ImageAnalysisConfig.Builder analysisConfigBuilder = new ImageAnalysisConfig.Builder();
+ analysisConfigBuilder.setImageReaderMode(ImageAnalysis.ImageReaderMode.ACQUIRE_LATEST_IMAGE);
+ analysisConfigBuilder.setTargetResolution(new Size(320, 320)); // 输出预览图像尺寸
+ ImageAnalysisConfig config = analysisConfigBuilder.build();
+ ImageAnalysis analysis = new ImageAnalysis(config);
+ analysis.setAnalyzer(detectAnalyzer);
+ return analysis;
+ }
+
+ private Bitmap imageToBitmap(ImageProxy image) {
+ byte[] nv21 = imagetToNV21(image);
+
+ YuvImage yuvImage = new YuvImage(nv21, ImageFormat.NV21, image.getWidth(), image.getHeight(), null);
+ ByteArrayOutputStream out = new ByteArrayOutputStream();
+ yuvImage.compressToJpeg(new Rect(0, 0, yuvImage.getWidth(), yuvImage.getHeight()), 100, out);
+ byte[] imageBytes = out.toByteArray();
+
+ return BitmapFactory.decodeByteArray(imageBytes, 0, imageBytes.length);
+ }
+
+ private byte[] imagetToNV21(ImageProxy image) {
+ ImageProxy.PlaneProxy[] planes = image.getPlanes();
+ ImageProxy.PlaneProxy y = planes[0];
+ ImageProxy.PlaneProxy u = planes[1];
+ ImageProxy.PlaneProxy v = planes[2];
+ ByteBuffer yBuffer = y.getBuffer();
+ ByteBuffer uBuffer = u.getBuffer();
+ ByteBuffer vBuffer = v.getBuffer();
+ int ySize = yBuffer.remaining();
+ int uSize = uBuffer.remaining();
+ int vSize = vBuffer.remaining();
+ byte[] nv21 = new byte[ySize + uSize + vSize];
+ // U and V are swapped
+ yBuffer.get(nv21, 0, ySize);
+ vBuffer.get(nv21, ySize, vSize);
+ uBuffer.get(nv21, ySize + vSize, uSize);
+
+ return nv21;
+ }
+
+ private class DetectAnalyzer implements ImageAnalysis.Analyzer {
+
+ @Override
+ public void analyze(ImageProxy image, final int rotationDegrees) {
+ detectOnModel(image, rotationDegrees);
+ }
+ }
+
+
+ private void detectOnModel(ImageProxy image, final int rotationDegrees) {
+ if (detecting.get() || detectPhoto.get()) {
+ return;
+ }
+ detecting.set(true);
+ startTime = System.currentTimeMillis();
+ final Bitmap bitmapsrc = imageToBitmap(image); // 格式转换
+ if (detectService == null) {
+ detecting.set(false);
+ return;
+ }
+ detectService.execute(new Runnable() {
+ @Override
+ public void run() {
+ Matrix matrix = new Matrix();
+ matrix.postRotate(rotationDegrees);
+ width = bitmapsrc.getWidth();
+ height = bitmapsrc.getHeight();
+ Bitmap bitmap = Bitmap.createBitmap(bitmapsrc, 0, 0, Math.min(width, height), Math.min(width, height), matrix, false);
+
+ Box[] result = null;
+ if (USE_MODEL == YOLOV5S) {
+ result = YOLOv5.detect(bitmap, threshold, nms_threshold);
+ } else if (USE_MODEL == YOLOV4_TINY || USE_MODEL == MOBILENETV2_YOLOV3_NANO) {
+ result = YOLOv4.detect(bitmap, threshold, nms_threshold);
+ } else if (USE_MODEL == NANODET) {
+ result = NanoDet.detect(bitmap, threshold, nms_threshold);
+ }
+ if (result == null) {
+ detecting.set(false);
+ return;
+ }
+ mutableBitmap = bitmap.copy(Bitmap.Config.ARGB_8888, true);
+ if (USE_MODEL == YOLOV5S || USE_MODEL == YOLOV4_TINY || USE_MODEL == MOBILENETV2_YOLOV3_NANO || USE_MODEL == NANODET) {
+ mutableBitmap = drawBoxRects(mutableBitmap, result);
+ }
+ runOnUiThread(new Runnable() {
+ @Override
+ public void run() {
+ detecting.set(false);
+ if (detectPhoto.get()) {
+ return;
+ }
+ resultImageView.setImageBitmap(mutableBitmap);
+ endTime = System.currentTimeMillis();
+ long dur = endTime - startTime;
+ float fps = (float) (1000.0 / dur);
+ total_fps = (total_fps == 0) ? fps : (total_fps + fps);
+ fps_count++;
+ String modelName = getModelName();
+
+ tvInfo.setText(String.format(Locale.CHINESE,
+ "%s\nSize: %dx%d\nTime: %.3f s\nFPS: %.3f\nAVG_FPS: %.3f",
+ modelName, height, width, dur / 1000.0, fps, (float) total_fps / fps_count));
+ }
+ });
+ }
+ });
+ }
+
+
+ protected Bitmap drawBoxRects(Bitmap mutableBitmap, Box[] results) {
+ if (results == null || results.length <= 0) {
+ return mutableBitmap;
+ }
+ Canvas canvas = new Canvas(mutableBitmap);
+ final Paint boxPaint = new Paint();
+ boxPaint.setAlpha(200);
+ boxPaint.setStyle(Paint.Style.STROKE);
+ boxPaint.setStrokeWidth(4 * mutableBitmap.getWidth() / 800.0f);
+ boxPaint.setTextSize(40 * mutableBitmap.getWidth() / 800.0f);
+ for (Box box : results) {
+ if (USE_MODEL == MOBILENETV2_YOLOV3_NANO) {
+ if (box.getScore() < 0.3f) {
+ // 模型比较小，置信度太低就不要了
+ continue;
+ }
+ // 有时候差太多了，手动改一下
+ box.x0 = box.x0 < 0 ? box.x0 / 6 : box.x0;
+ box.y0 = box.y0 < 0 ? box.y0 / 6 : box.y0;
+ }
+ boxPaint.setColor(box.getColor());
+ boxPaint.setStyle(Paint.Style.FILL);
+ canvas.drawText(box.getLabel() + String.format(Locale.CHINESE, " %.3f", box.getScore()), box.x0 + 3, box.y0 + 40 * mutableBitmap.getWidth() / 1000.0f, boxPaint);
+ boxPaint.setStyle(Paint.Style.STROKE);
+ canvas.drawRect(box.getRect(), boxPaint);
+ }
+ return mutableBitmap;
+ }
+
+
+ protected String getModelName() {
+ String modelName = "ohhhhh";
+ if (USE_MODEL == YOLOV5S) {
+ modelName = "YOLOv5s";
+ } else if (USE_MODEL == YOLOV4_TINY) {
+ modelName = "YOLOv4-tiny";
+ } else if (USE_MODEL == MOBILENETV2_YOLOV3_NANO) {
+ modelName = "MobileNetV2-YOLOv3-Nano";
+ } else if (USE_MODEL == NANODET) {
+ modelName = "NanoDet";
+ }
+ return USE_GPU ? "GPU: " + modelName : "CPU: " + modelName;
+ }
+
+ @Override
+ protected void onDestroy() {
+ if (detectService != null) {
+ detectService.shutdown();
+ detectService = null;
+ }
+ CameraX.unbindAll();
+ super.onDestroy();
+ }
+
+
+ @Override
+ public void onRequestPermissionsResult(int requestCode, @NonNull String[] permissions, @NonNull int[] grantResults) {
+ super.onRequestPermissionsResult(requestCode, permissions, grantResults);
+ for (int result : grantResults) {
+ if (result != PackageManager.PERMISSION_GRANTED) {
+ Toast.makeText(this, "Camera Permission!", Toast.LENGTH_SHORT).show();
+ this.finish();
+ }
+ }
+ }
+
+ @Override
+ protected void onActivityResult(int requestCode, int resultCode, @Nullable Intent data) {
+ super.onActivityResult(requestCode, resultCode, data);
+ if (data == null) {
+ return;
+ }
+ detectPhoto.set(true);
+ Bitmap image = getPicture(data.getData());
+ if (image == null) {
+ Toast.makeText(this, "Photo is null", Toast.LENGTH_SHORT).show();
+ return;
+ }
+ Bitmap mutableBitmap = image.copy(Bitmap.Config.ARGB_8888, true);
+
+ Box[] result = null;
+ if (USE_MODEL == YOLOV5S) {
+ result = YOLOv5.detect(image, threshold, nms_threshold);
+ } else if (USE_MODEL == YOLOV4_TINY || USE_MODEL == MOBILENETV2_YOLOV3_NANO) {
+ result = YOLOv4.detect(image, threshold, nms_threshold);
+ } else if (USE_MODEL == NANODET) {
+ result = NanoDet.detect(image, threshold, nms_threshold);
+ }
+ if (USE_MODEL == YOLOV5S || USE_MODEL == YOLOV4_TINY || USE_MODEL == MOBILENETV2_YOLOV3_NANO || USE_MODEL == NANODET) {
+ mutableBitmap = drawBoxRects(mutableBitmap, result);
+ }
+ resultImageView.setImageBitmap(mutableBitmap);
+ }
+
+ public Bitmap getPicture(Uri selectedImage) {
+ String[] filePathColumn = {MediaStore.Images.Media.DATA};
+ Cursor cursor = this.getContentResolver().query(selectedImage, filePathColumn, null, null, null);
+ if (cursor == null) {
+ return null;
+ }
+ cursor.moveToFirst();
+ int columnIndex = cursor.getColumnIndex(filePathColumn[0]);
+ String picturePath = cursor.getString(columnIndex);
+ cursor.close();
+ Bitmap bitmap = BitmapFactory.decodeFile(picturePath);
+ if (bitmap == null) {
+ return null;
+ }
+ int rotate = readPictureDegree(picturePath);
+ return rotateBitmapByDegree(bitmap, rotate);
+ }
+
+ public int readPictureDegree(String path) {
+ int degree = 0;
+ try {
+ ExifInterface exifInterface = new ExifInterface(path);
+ int orientation = exifInterface.getAttributeInt(ExifInterface.TAG_ORIENTATION, ExifInterface.ORIENTATION_NORMAL);
+ switch (orientation) {
+ case ExifInterface.ORIENTATION_ROTATE_90:
+ degree = 90;
+ break;
+ case ExifInterface.ORIENTATION_ROTATE_180:
+ degree = 180;
+ break;
+ case ExifInterface.ORIENTATION_ROTATE_270:
+ degree = 270;
+ break;
+ }
+ } catch (IOException e) {
+ e.printStackTrace();
+ }
+ return degree;
+ }
+
+ public Bitmap rotateBitmapByDegree(Bitmap bm, int degree) {
+ Bitmap returnBm = null;
+ Matrix matrix = new Matrix();
+ matrix.postRotate(degree);
+ try {
+ returnBm = Bitmap.createBitmap(bm, 0, 0, bm.getWidth(),
+ bm.getHeight(), matrix, true);
+ } catch (OutOfMemoryError e) {
+ e.printStackTrace();
+ }
+ if (returnBm == null) {
+ returnBm = bm;
+ }
+ if (bm != returnBm) {
+ bm.recycle();
+ }
+ return returnBm;
+ }
+
+
+}
diff --git a/demo_android_ncnn/app/src/main/java/com/rangi/nanodet/NanoDet.java b/demo_android_ncnn/app/src/main/java/com/rangi/nanodet/NanoDet.java
new file mode 100644
index 000000000..f593d6f30
--- /dev/null
+++ b/demo_android_ncnn/app/src/main/java/com/rangi/nanodet/NanoDet.java
@@ -0,0 +1,13 @@
+package com.rangi.nanodet;
+
+import android.content.res.AssetManager;
+import android.graphics.Bitmap;
+
+public class NanoDet {
+ static {
+ System.loadLibrary("yolov5");
+ }
+
+ public static native void init(AssetManager manager, boolean useGPU);
+ public static native Box[] detect(Bitmap bitmap, double threshold, double nms_threshold);
+}
diff --git a/demo_android_ncnn/app/src/main/java/com/rangi/nanodet/NcnnApp.java b/demo_android_ncnn/app/src/main/java/com/rangi/nanodet/NcnnApp.java
new file mode 100644
index 000000000..92c3a7f29
--- /dev/null
+++ b/demo_android_ncnn/app/src/main/java/com/rangi/nanodet/NcnnApp.java
@@ -0,0 +1,68 @@
+package com.rangi.nanodet;
+
+import android.app.Application;
+import android.content.Context;
+import android.util.Log;
+
+import androidx.multidex.MultiDex;
+
+import com.zxy.recovery.callback.RecoveryCallback;
+import com.zxy.recovery.core.Recovery;
+
+
+public class NcnnApp extends Application {
+
+ @Override
+ public void onCreate() {
+ super.onCreate();
+
+ //崩溃界面
+ initRecovery();
+ }
+
+ @Override
+ protected void attachBaseContext(Context base) {
+ super.attachBaseContext(base);
+ MultiDex.install(base);
+ }
+
+ private void initRecovery() {
+ Recovery.getInstance()
+ .debug(BuildConfig.DEBUG)
+ .recoverInBackground(true)
+ .recoverStack(true)
+ .mainPage(MainActivity.class)
+ .recoverEnabled(true)
+ .callback(new MyCrashCallback())
+ .silent(false, Recovery.SilentMode.RECOVER_ACTIVITY_STACK)
+// .skip(TestActivity.class)
+ .init(this);
+ AppCrashHandler.register();
+ }
+
+ static final class MyCrashCallback implements RecoveryCallback {
+ @Override
+ public void stackTrace(String exceptionMessage) {
+ Log.e("wzt", "exceptionMessage:" + exceptionMessage);
+ }
+
+ @Override
+ public void cause(String cause) {
+ Log.e("wzt", "cause:" + cause);
+ }
+
+ @Override
+ public void exception(String exceptionType, String throwClassName, String throwMethodName, int throwLineNumber) {
+ Log.e("wzt", "exceptionClassName:" + exceptionType);
+ Log.e("wzt", "throwClassName:" + throwClassName);
+ Log.e("wzt", "throwMethodName:" + throwMethodName);
+ Log.e("wzt", "throwLineNumber:" + throwLineNumber);
+ }
+
+ @Override
+ public void throwable(Throwable throwable) {
+
+ }
+ }
+
+}
diff --git a/demo_android_ncnn/app/src/main/java/com/rangi/nanodet/WelcomeActivity.java b/demo_android_ncnn/app/src/main/java/com/rangi/nanodet/WelcomeActivity.java
new file mode 100644
index 000000000..cdcb019d6
--- /dev/null
+++ b/demo_android_ncnn/app/src/main/java/com/rangi/nanodet/WelcomeActivity.java
@@ -0,0 +1,90 @@
+package com.rangi.nanodet;
+
+import androidx.appcompat.app.AlertDialog;
+import androidx.appcompat.app.AppCompatActivity;
+
+import android.content.Intent;
+import android.os.Bundle;
+import android.view.View;
+import android.widget.Button;
+import android.widget.CompoundButton;
+import android.widget.ToggleButton;
+
+
+public class WelcomeActivity extends AppCompatActivity {
+
+ private ToggleButton tbUseGpu;
+ private Button yolov5s;
+ private Button yolov4tiny;
+ private Button mobilenetyolov3nano;
+ private Button nanodet;
+
+ private boolean useGPU = false;
+
+ @Override
+ protected void onCreate(Bundle savedInstanceState) {
+ super.onCreate(savedInstanceState);
+ setContentView(R.layout.activity_welcome);
+
+ tbUseGpu = findViewById(R.id.tb_use_gpu);
+ tbUseGpu.setOnCheckedChangeListener(new CompoundButton.OnCheckedChangeListener() {
+ @Override
+ public void onCheckedChanged(CompoundButton buttonView, boolean isChecked) {
+ useGPU = isChecked;
+ MainActivity.USE_GPU = useGPU;
+ if (useGPU) {
+ AlertDialog.Builder builder = new AlertDialog.Builder(WelcomeActivity.this);
+ builder.setTitle("Warning");
+ builder.setMessage("It may not work well in GPU mode, or errors may occur.");
+ builder.setCancelable(true);
+ builder.setPositiveButton("OK", null);
+ AlertDialog dialog = builder.create();
+ dialog.show();
+ }
+ }
+ });
+
+ yolov5s = findViewById(R.id.btn_start_detect1);
+ yolov5s.setOnClickListener(new View.OnClickListener() {
+ @Override
+ public void onClick(View v) {
+ MainActivity.USE_MODEL = MainActivity.YOLOV5S;
+ Intent intent = new Intent(WelcomeActivity.this, MainActivity.class);
+ WelcomeActivity.this.startActivity(intent);
+ }
+ });
+
+ yolov4tiny = findViewById(R.id.btn_start_detect2);
+ yolov4tiny.setOnClickListener(new View.OnClickListener() {
+ @Override
+ public void onClick(View v) {
+ MainActivity.USE_MODEL = MainActivity.YOLOV4_TINY;
+ Intent intent = new Intent(WelcomeActivity.this, MainActivity.class);
+ WelcomeActivity.this.startActivity(intent);
+ }
+ });
+
+ mobilenetyolov3nano = findViewById(R.id.btn_start_detect3);
+ mobilenetyolov3nano.setOnClickListener(new View.OnClickListener() {
+ @Override
+ public void onClick(View v) {
+ MainActivity.USE_MODEL = MainActivity.MOBILENETV2_YOLOV3_NANO;
+ Intent intent = new Intent(WelcomeActivity.this, MainActivity.class);
+ WelcomeActivity.this.startActivity(intent);
+ }
+ });
+
+ nanodet = findViewById(R.id.btn_start_detect10);
+ nanodet.setOnClickListener(new View.OnClickListener() {
+ @Override
+ public void onClick(View v) {
+ MainActivity.USE_MODEL = MainActivity.NANODET;
+ Intent intent = new Intent(WelcomeActivity.this, MainActivity.class);
+ WelcomeActivity.this.startActivity(intent);
+ }
+ });
+
+ }
+
+
+}
diff --git a/demo_android_ncnn/app/src/main/java/com/rangi/nanodet/YOLOv4.java b/demo_android_ncnn/app/src/main/java/com/rangi/nanodet/YOLOv4.java
new file mode 100644
index 000000000..2b2ba8fbc
--- /dev/null
+++ b/demo_android_ncnn/app/src/main/java/com/rangi/nanodet/YOLOv4.java
@@ -0,0 +1,13 @@
+package com.rangi.nanodet;
+
+import android.content.res.AssetManager;
+import android.graphics.Bitmap;
+
+public class YOLOv4 {
+ static {
+ System.loadLibrary("yolov5"); // 存放在yolov5.so中
+ }
+
+ public static native void init(AssetManager manager, boolean v4tiny, boolean useGPU);
+ public static native Box[] detect(Bitmap bitmap, double threshold, double nms_threshold);
+}
diff --git a/demo_android_ncnn/app/src/main/java/com/rangi/nanodet/YOLOv5.java b/demo_android_ncnn/app/src/main/java/com/rangi/nanodet/YOLOv5.java
new file mode 100644
index 000000000..b7b690378
--- /dev/null
+++ b/demo_android_ncnn/app/src/main/java/com/rangi/nanodet/YOLOv5.java
@@ -0,0 +1,13 @@
+package com.rangi.nanodet;
+
+import android.content.res.AssetManager;
+import android.graphics.Bitmap;
+
+public class YOLOv5 {
+ static {
+ System.loadLibrary("yolov5");
+ }
+
+ public static native void init(AssetManager manager, boolean useGPU);
+ public static native Box[] detect(Bitmap bitmap, double threshold, double nms_threshold);
+}
diff --git a/demo_android_ncnn/app/src/main/res/drawable-v24/ic_launcher_foreground.xml b/demo_android_ncnn/app/src/main/res/drawable-v24/ic_launcher_foreground.xml
new file mode 100644
index 000000000..1f6bb2906
--- /dev/null
+++ b/demo_android_ncnn/app/src/main/res/drawable-v24/ic_launcher_foreground.xml
@@ -0,0 +1,34 @@
+
+
+
+
+
+
+
+
+
+
+
diff --git a/demo_android_ncnn/app/src/main/res/drawable-xxhdpi/cpu.png b/demo_android_ncnn/app/src/main/res/drawable-xxhdpi/cpu.png
new file mode 100644
index 000000000..682c097dc
Binary files /dev/null and b/demo_android_ncnn/app/src/main/res/drawable-xxhdpi/cpu.png differ
diff --git a/demo_android_ncnn/app/src/main/res/drawable-xxhdpi/gpu.png b/demo_android_ncnn/app/src/main/res/drawable-xxhdpi/gpu.png
new file mode 100644
index 000000000..dc8e249b0
Binary files /dev/null and b/demo_android_ncnn/app/src/main/res/drawable-xxhdpi/gpu.png differ
diff --git a/demo_android_ncnn/app/src/main/res/drawable-xxhdpi/ncnn_icon.png b/demo_android_ncnn/app/src/main/res/drawable-xxhdpi/ncnn_icon.png
new file mode 100644
index 000000000..40093faa2
Binary files /dev/null and b/demo_android_ncnn/app/src/main/res/drawable-xxhdpi/ncnn_icon.png differ
diff --git a/demo_android_ncnn/app/src/main/res/drawable/cpu_gpu_bg.xml b/demo_android_ncnn/app/src/main/res/drawable/cpu_gpu_bg.xml
new file mode 100644
index 000000000..197547a16
--- /dev/null
+++ b/demo_android_ncnn/app/src/main/res/drawable/cpu_gpu_bg.xml
@@ -0,0 +1,5 @@
+
+
+
+
+
diff --git a/demo_android_ncnn/app/src/main/res/drawable/ic_launcher_background.xml b/demo_android_ncnn/app/src/main/res/drawable/ic_launcher_background.xml
new file mode 100644
index 000000000..0d025f9bf
--- /dev/null
+++ b/demo_android_ncnn/app/src/main/res/drawable/ic_launcher_background.xml
@@ -0,0 +1,170 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/demo_android_ncnn/app/src/main/res/layout/activity_main.xml b/demo_android_ncnn/app/src/main/res/layout/activity_main.xml
new file mode 100644
index 000000000..28ab1f887
--- /dev/null
+++ b/demo_android_ncnn/app/src/main/res/layout/activity_main.xml
@@ -0,0 +1,110 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/demo_android_ncnn/app/src/main/res/layout/activity_welcome.xml b/demo_android_ncnn/app/src/main/res/layout/activity_welcome.xml
new file mode 100644
index 000000000..bcc2f2f2e
--- /dev/null
+++ b/demo_android_ncnn/app/src/main/res/layout/activity_welcome.xml
@@ -0,0 +1,84 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/demo_android_ncnn/app/src/main/res/mipmap-anydpi-v26/ic_launcher.xml b/demo_android_ncnn/app/src/main/res/mipmap-anydpi-v26/ic_launcher.xml
new file mode 100644
index 000000000..eca70cfe5
--- /dev/null
+++ b/demo_android_ncnn/app/src/main/res/mipmap-anydpi-v26/ic_launcher.xml
@@ -0,0 +1,5 @@
+
+
+
+
+
\ No newline at end of file
diff --git a/demo_android_ncnn/app/src/main/res/mipmap-anydpi-v26/ic_launcher_round.xml b/demo_android_ncnn/app/src/main/res/mipmap-anydpi-v26/ic_launcher_round.xml
new file mode 100644
index 000000000..eca70cfe5
--- /dev/null
+++ b/demo_android_ncnn/app/src/main/res/mipmap-anydpi-v26/ic_launcher_round.xml
@@ -0,0 +1,5 @@
+
+
+
+
+
\ No newline at end of file
diff --git a/demo_android_ncnn/app/src/main/res/mipmap-hdpi/ic_launcher.png b/demo_android_ncnn/app/src/main/res/mipmap-hdpi/ic_launcher.png
new file mode 100644
index 000000000..898f3ed59
Binary files /dev/null and b/demo_android_ncnn/app/src/main/res/mipmap-hdpi/ic_launcher.png differ
diff --git a/demo_android_ncnn/app/src/main/res/mipmap-hdpi/ic_launcher_round.png b/demo_android_ncnn/app/src/main/res/mipmap-hdpi/ic_launcher_round.png
new file mode 100644
index 000000000..dffca3601
Binary files /dev/null and b/demo_android_ncnn/app/src/main/res/mipmap-hdpi/ic_launcher_round.png differ
diff --git a/demo_android_ncnn/app/src/main/res/mipmap-mdpi/ic_launcher.png b/demo_android_ncnn/app/src/main/res/mipmap-mdpi/ic_launcher.png
new file mode 100644
index 000000000..64ba76f75
Binary files /dev/null and b/demo_android_ncnn/app/src/main/res/mipmap-mdpi/ic_launcher.png differ
diff --git a/demo_android_ncnn/app/src/main/res/mipmap-mdpi/ic_launcher_round.png b/demo_android_ncnn/app/src/main/res/mipmap-mdpi/ic_launcher_round.png
new file mode 100644
index 000000000..dae5e0823
Binary files /dev/null and b/demo_android_ncnn/app/src/main/res/mipmap-mdpi/ic_launcher_round.png differ
diff --git a/demo_android_ncnn/app/src/main/res/mipmap-xhdpi/ic_launcher.png b/demo_android_ncnn/app/src/main/res/mipmap-xhdpi/ic_launcher.png
new file mode 100644
index 000000000..e5ed46597
Binary files /dev/null and b/demo_android_ncnn/app/src/main/res/mipmap-xhdpi/ic_launcher.png differ
diff --git a/demo_android_ncnn/app/src/main/res/mipmap-xhdpi/ic_launcher_round.png b/demo_android_ncnn/app/src/main/res/mipmap-xhdpi/ic_launcher_round.png
new file mode 100644
index 000000000..14ed0af35
Binary files /dev/null and b/demo_android_ncnn/app/src/main/res/mipmap-xhdpi/ic_launcher_round.png differ
diff --git a/demo_android_ncnn/app/src/main/res/mipmap-xxhdpi/ic_launcher.png b/demo_android_ncnn/app/src/main/res/mipmap-xxhdpi/ic_launcher.png
new file mode 100644
index 000000000..b0907cac3
Binary files /dev/null and b/demo_android_ncnn/app/src/main/res/mipmap-xxhdpi/ic_launcher.png differ
diff --git a/demo_android_ncnn/app/src/main/res/mipmap-xxhdpi/ic_launcher_round.png b/demo_android_ncnn/app/src/main/res/mipmap-xxhdpi/ic_launcher_round.png
new file mode 100644
index 000000000..d8ae03154
Binary files /dev/null and b/demo_android_ncnn/app/src/main/res/mipmap-xxhdpi/ic_launcher_round.png differ
diff --git a/demo_android_ncnn/app/src/main/res/mipmap-xxxhdpi/ic_launcher.png b/demo_android_ncnn/app/src/main/res/mipmap-xxxhdpi/ic_launcher.png
new file mode 100644
index 000000000..2c18de9e6
Binary files /dev/null and b/demo_android_ncnn/app/src/main/res/mipmap-xxxhdpi/ic_launcher.png differ
diff --git a/demo_android_ncnn/app/src/main/res/mipmap-xxxhdpi/ic_launcher_round.png b/demo_android_ncnn/app/src/main/res/mipmap-xxxhdpi/ic_launcher_round.png
new file mode 100644
index 000000000..beed3cdd2
Binary files /dev/null and b/demo_android_ncnn/app/src/main/res/mipmap-xxxhdpi/ic_launcher_round.png differ
diff --git a/demo_android_ncnn/app/src/main/res/values/colors.xml b/demo_android_ncnn/app/src/main/res/values/colors.xml
new file mode 100644
index 000000000..faa1fdf8d
--- /dev/null
+++ b/demo_android_ncnn/app/src/main/res/values/colors.xml
@@ -0,0 +1,8 @@
+
+
+ #123F70
+ #122F49
+ #D81B60
+
+ #DDDDDD
+
diff --git a/demo_android_ncnn/app/src/main/res/values/strings.xml b/demo_android_ncnn/app/src/main/res/values/strings.xml
new file mode 100644
index 000000000..acea2747c
--- /dev/null
+++ b/demo_android_ncnn/app/src/main/res/values/strings.xml
@@ -0,0 +1,3 @@
+
+ NanoDet
+
diff --git a/demo_android_ncnn/app/src/main/res/values/styles.xml b/demo_android_ncnn/app/src/main/res/values/styles.xml
new file mode 100644
index 000000000..97d560c61
--- /dev/null
+++ b/demo_android_ncnn/app/src/main/res/values/styles.xml
@@ -0,0 +1,17 @@
+
+
+
+
+
+
+
diff --git a/demo_android_ncnn/app/src/test/java/com/rangi/nanodet/ExampleUnitTest.java b/demo_android_ncnn/app/src/test/java/com/rangi/nanodet/ExampleUnitTest.java
new file mode 100644
index 000000000..56da442c6
--- /dev/null
+++ b/demo_android_ncnn/app/src/test/java/com/rangi/nanodet/ExampleUnitTest.java
@@ -0,0 +1,17 @@
+package com.rangi.nanodet;
+
+import org.junit.Test;
+
+import static org.junit.Assert.*;
+
+/**
+ * Example local unit test, which will execute on the development machine (host).
+ *
+ * @see Testing documentation
+ */
+public class ExampleUnitTest {
+ @Test
+ public void addition_isCorrect() {
+ assertEquals(4, 2 + 2);
+ }
+}
\ No newline at end of file
diff --git a/demo_android_ncnn/build.gradle b/demo_android_ncnn/build.gradle
new file mode 100644
index 000000000..75c66b9c7
--- /dev/null
+++ b/demo_android_ncnn/build.gradle
@@ -0,0 +1,27 @@
+// Top-level build file where you can add configuration options common to all sub-projects/modules.
+
+buildscript {
+ repositories {
+ google()
+ jcenter()
+
+ }
+ dependencies {
+ classpath 'com.android.tools.build:gradle:4.0.0'
+
+ // NOTE: Do not place your application dependencies here; they belong
+ // in the individual module build.gradle files
+ }
+}
+
+allprojects {
+ repositories {
+ google()
+ jcenter()
+ maven { url "https://jitpack.io" }
+ }
+}
+
+task clean(type: Delete) {
+ delete rootProject.buildDir
+}
diff --git a/demo_android_ncnn/gradle.properties b/demo_android_ncnn/gradle.properties
new file mode 100644
index 000000000..199d16ede
--- /dev/null
+++ b/demo_android_ncnn/gradle.properties
@@ -0,0 +1,20 @@
+# Project-wide Gradle settings.
+# IDE (e.g. Android Studio) users:
+# Gradle settings configured through the IDE *will override*
+# any settings specified in this file.
+# For more details on how to configure your build environment visit
+# http://www.gradle.org/docs/current/userguide/build_environment.html
+# Specifies the JVM arguments used for the daemon process.
+# The setting is particularly useful for tweaking memory settings.
+org.gradle.jvmargs=-Xmx1536m
+# When configured, Gradle will run in incubating parallel mode.
+# This option should only be used with decoupled projects. More details, visit
+# http://www.gradle.org/docs/current/userguide/multi_project_builds.html#sec:decoupled_projects
+# org.gradle.parallel=true
+# AndroidX package structure to make it clearer which packages are bundled with the
+# Android operating system, and which are packaged with your app's APK
+# https://developer.android.com/topic/libraries/support-library/androidx-rn
+android.useAndroidX=true
+# Automatically convert third-party libraries to use AndroidX
+android.enableJetifier=true
+
diff --git a/demo_android_ncnn/gradle/wrapper/gradle-wrapper.jar b/demo_android_ncnn/gradle/wrapper/gradle-wrapper.jar
new file mode 100644
index 000000000..f6b961fd5
Binary files /dev/null and b/demo_android_ncnn/gradle/wrapper/gradle-wrapper.jar differ
diff --git a/demo_android_ncnn/gradle/wrapper/gradle-wrapper.properties b/demo_android_ncnn/gradle/wrapper/gradle-wrapper.properties
new file mode 100644
index 000000000..34730b415
--- /dev/null
+++ b/demo_android_ncnn/gradle/wrapper/gradle-wrapper.properties
@@ -0,0 +1,6 @@
+#Mon Jun 15 13:17:33 HKT 2020
+distributionBase=GRADLE_USER_HOME
+distributionPath=wrapper/dists
+zipStoreBase=GRADLE_USER_HOME
+zipStorePath=wrapper/dists
+distributionUrl=https\://services.gradle.org/distributions/gradle-6.1.1-all.zip
diff --git a/demo_android_ncnn/gradlew b/demo_android_ncnn/gradlew
new file mode 100644
index 000000000..cccdd3d51
--- /dev/null
+++ b/demo_android_ncnn/gradlew
@@ -0,0 +1,172 @@
+#!/usr/bin/env sh
+
+##############################################################################
+##
+## Gradle start up script for UN*X
+##
+##############################################################################
+
+# Attempt to set APP_HOME
+# Resolve links: $0 may be a link
+PRG="$0"
+# Need this for relative symlinks.
+while [ -h "$PRG" ] ; do
+ ls=`ls -ld "$PRG"`
+ link=`expr "$ls" : '.*-> \(.*\)$'`
+ if expr "$link" : '/.*' > /dev/null; then
+ PRG="$link"
+ else
+ PRG=`dirname "$PRG"`"/$link"
+ fi
+done
+SAVED="`pwd`"
+cd "`dirname \"$PRG\"`/" >/dev/null
+APP_HOME="`pwd -P`"
+cd "$SAVED" >/dev/null
+
+APP_NAME="Gradle"
+APP_BASE_NAME=`basename "$0"`
+
+# Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
+DEFAULT_JVM_OPTS=""
+
+# Use the maximum available, or set MAX_FD != -1 to use that value.
+MAX_FD="maximum"
+
+warn () {
+ echo "$*"
+}
+
+die () {
+ echo
+ echo "$*"
+ echo
+ exit 1
+}
+
+# OS specific support (must be 'true' or 'false').
+cygwin=false
+msys=false
+darwin=false
+nonstop=false
+case "`uname`" in
+ CYGWIN* )
+ cygwin=true
+ ;;
+ Darwin* )
+ darwin=true
+ ;;
+ MINGW* )
+ msys=true
+ ;;
+ NONSTOP* )
+ nonstop=true
+ ;;
+esac
+
+CLASSPATH=$APP_HOME/gradle/wrapper/gradle-wrapper.jar
+
+# Determine the Java command to use to start the JVM.
+if [ -n "$JAVA_HOME" ] ; then
+ if [ -x "$JAVA_HOME/jre/sh/java" ] ; then
+ # IBM's JDK on AIX uses strange locations for the executables
+ JAVACMD="$JAVA_HOME/jre/sh/java"
+ else
+ JAVACMD="$JAVA_HOME/bin/java"
+ fi
+ if [ ! -x "$JAVACMD" ] ; then
+ die "ERROR: JAVA_HOME is set to an invalid directory: $JAVA_HOME
+
+Please set the JAVA_HOME variable in your environment to match the
+location of your Java installation."
+ fi
+else
+ JAVACMD="java"
+ which java >/dev/null 2>&1 || die "ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.
+
+Please set the JAVA_HOME variable in your environment to match the
+location of your Java installation."
+fi
+
+# Increase the maximum file descriptors if we can.
+if [ "$cygwin" = "false" -a "$darwin" = "false" -a "$nonstop" = "false" ] ; then
+ MAX_FD_LIMIT=`ulimit -H -n`
+ if [ $? -eq 0 ] ; then
+ if [ "$MAX_FD" = "maximum" -o "$MAX_FD" = "max" ] ; then
+ MAX_FD="$MAX_FD_LIMIT"
+ fi
+ ulimit -n $MAX_FD
+ if [ $? -ne 0 ] ; then
+ warn "Could not set maximum file descriptor limit: $MAX_FD"
+ fi
+ else
+ warn "Could not query maximum file descriptor limit: $MAX_FD_LIMIT"
+ fi
+fi
+
+# For Darwin, add options to specify how the application appears in the dock
+if $darwin; then
+ GRADLE_OPTS="$GRADLE_OPTS \"-Xdock:name=$APP_NAME\" \"-Xdock:icon=$APP_HOME/media/gradle.icns\""
+fi
+
+# For Cygwin, switch paths to Windows format before running java
+if $cygwin ; then
+ APP_HOME=`cygpath --path --mixed "$APP_HOME"`
+ CLASSPATH=`cygpath --path --mixed "$CLASSPATH"`
+ JAVACMD=`cygpath --unix "$JAVACMD"`
+
+ # We build the pattern for arguments to be converted via cygpath
+ ROOTDIRSRAW=`find -L / -maxdepth 1 -mindepth 1 -type d 2>/dev/null`
+ SEP=""
+ for dir in $ROOTDIRSRAW ; do
+ ROOTDIRS="$ROOTDIRS$SEP$dir"
+ SEP="|"
+ done
+ OURCYGPATTERN="(^($ROOTDIRS))"
+ # Add a user-defined pattern to the cygpath arguments
+ if [ "$GRADLE_CYGPATTERN" != "" ] ; then
+ OURCYGPATTERN="$OURCYGPATTERN|($GRADLE_CYGPATTERN)"
+ fi
+ # Now convert the arguments - kludge to limit ourselves to /bin/sh
+ i=0
+ for arg in "$@" ; do
+ CHECK=`echo "$arg"|egrep -c "$OURCYGPATTERN" -`
+ CHECK2=`echo "$arg"|egrep -c "^-"` ### Determine if an option
+
+ if [ $CHECK -ne 0 ] && [ $CHECK2 -eq 0 ] ; then ### Added a condition
+ eval `echo args$i`=`cygpath --path --ignore --mixed "$arg"`
+ else
+ eval `echo args$i`="\"$arg\""
+ fi
+ i=$((i+1))
+ done
+ case $i in
+ (0) set -- ;;
+ (1) set -- "$args0" ;;
+ (2) set -- "$args0" "$args1" ;;
+ (3) set -- "$args0" "$args1" "$args2" ;;
+ (4) set -- "$args0" "$args1" "$args2" "$args3" ;;
+ (5) set -- "$args0" "$args1" "$args2" "$args3" "$args4" ;;
+ (6) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" ;;
+ (7) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" ;;
+ (8) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" ;;
+ (9) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" "$args8" ;;
+ esac
+fi
+
+# Escape application args
+save () {
+ for i do printf %s\\n "$i" | sed "s/'/'\\\\''/g;1s/^/'/;\$s/\$/' \\\\/" ; done
+ echo " "
+}
+APP_ARGS=$(save "$@")
+
+# Collect all arguments for the java command, following the shell quoting and substitution rules
+eval set -- $DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS "\"-Dorg.gradle.appname=$APP_BASE_NAME\"" -classpath "\"$CLASSPATH\"" org.gradle.wrapper.GradleWrapperMain "$APP_ARGS"
+
+# by default we should be in the correct project dir, but when run from Finder on Mac, the cwd is wrong
+if [ "$(uname)" = "Darwin" ] && [ "$HOME" = "$PWD" ]; then
+ cd "$(dirname "$0")"
+fi
+
+exec "$JAVACMD" "$@"
diff --git a/demo_android_ncnn/gradlew.bat b/demo_android_ncnn/gradlew.bat
new file mode 100644
index 000000000..f9553162f
--- /dev/null
+++ b/demo_android_ncnn/gradlew.bat
@@ -0,0 +1,84 @@
+@if "%DEBUG%" == "" @echo off
+@rem ##########################################################################
+@rem
+@rem Gradle startup script for Windows
+@rem
+@rem ##########################################################################
+
+@rem Set local scope for the variables with windows NT shell
+if "%OS%"=="Windows_NT" setlocal
+
+set DIRNAME=%~dp0
+if "%DIRNAME%" == "" set DIRNAME=.
+set APP_BASE_NAME=%~n0
+set APP_HOME=%DIRNAME%
+
+@rem Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
+set DEFAULT_JVM_OPTS=
+
+@rem Find java.exe
+if defined JAVA_HOME goto findJavaFromJavaHome
+
+set JAVA_EXE=java.exe
+%JAVA_EXE% -version >NUL 2>&1
+if "%ERRORLEVEL%" == "0" goto init
+
+echo.
+echo ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.
+echo.
+echo Please set the JAVA_HOME variable in your environment to match the
+echo location of your Java installation.
+
+goto fail
+
+:findJavaFromJavaHome
+set JAVA_HOME=%JAVA_HOME:"=%
+set JAVA_EXE=%JAVA_HOME%/bin/java.exe
+
+if exist "%JAVA_EXE%" goto init
+
+echo.
+echo ERROR: JAVA_HOME is set to an invalid directory: %JAVA_HOME%
+echo.
+echo Please set the JAVA_HOME variable in your environment to match the
+echo location of your Java installation.
+
+goto fail
+
+:init
+@rem Get command-line arguments, handling Windows variants
+
+if not "%OS%" == "Windows_NT" goto win9xME_args
+
+:win9xME_args
+@rem Slurp the command line arguments.
+set CMD_LINE_ARGS=
+set _SKIP=2
+
+:win9xME_args_slurp
+if "x%~1" == "x" goto execute
+
+set CMD_LINE_ARGS=%*
+
+:execute
+@rem Setup the command line
+
+set CLASSPATH=%APP_HOME%\gradle\wrapper\gradle-wrapper.jar
+
+@rem Execute Gradle
+"%JAVA_EXE%" %DEFAULT_JVM_OPTS% %JAVA_OPTS% %GRADLE_OPTS% "-Dorg.gradle.appname=%APP_BASE_NAME%" -classpath "%CLASSPATH%" org.gradle.wrapper.GradleWrapperMain %CMD_LINE_ARGS%
+
+:end
+@rem End local scope for the variables with windows NT shell
+if "%ERRORLEVEL%"=="0" goto mainEnd
+
+:fail
+rem Set variable GRADLE_EXIT_CONSOLE if you need the _script_ return code instead of
+rem the _cmd.exe /c_ return code!
+if not "" == "%GRADLE_EXIT_CONSOLE%" exit 1
+exit /b 1
+
+:mainEnd
+if "%OS%"=="Windows_NT" endlocal
+
+:omega
diff --git a/demo_android_ncnn/settings.gradle b/demo_android_ncnn/settings.gradle
new file mode 100644
index 000000000..664128063
--- /dev/null
+++ b/demo_android_ncnn/settings.gradle
@@ -0,0 +1,2 @@
+include ':app'
+rootProject.name='YOLOv5'