update MNN deployment demo

cpp/mnn/CMakeLists.txt

@@ -0,0 +1,26 @@
+cmake_minimum_required(VERSION 3.0.2)
+project(mnn_det)
+
+
+include_directories(
+  include
+)
+
+find_package(OpenCV 4 REQUIRED)
+include_directories(${OpenCV_INCLUDE_DIRS})
+
+include_directories(/usr/include/eigen3)
+
+# --------------modify your own mnn path---------------
+include_directories(/home/lsh/code/mnn_dev/MNN/include)
+link_directories(/home/lsh/code/mnn_dev/MNN/build)
+# --------------modify your own mnn path---------------
+
+
+add_executable(mnn_det
+  src/demo.cpp
+)
+
+target_link_libraries(mnn_det ${OpenCV_LIBRARIES})
+target_link_libraries(mnn_det MNN)
+target_link_libraries(mnn_det yaml-cpp)

cpp/mnn/README.md

@@ -0,0 +1,66 @@
+# MNN Deployment demo for EdgeYOLO
+
+## 1. install MNN Framework
+before using this framework, please install mnn SDK
+
+```bash
+git clone https://github.com/alibaba/MNN
+cd MNN
+./schema/generate.sh
+mkdir build && cd build
+cmake .. -DMNN_OPENCL=ON -DMNN_BUILD_CONVERTER=ON -DMNN_BUILD_TOOL=ON -DMNN_BUILD_QUANTOOLS=ON -DMNN_BUILD_OPENCV=ON
+make -j8
+```
+
+or just [**download here**](https://github.com/LSH9832/edgeyolo/releases/download/v1.0.1/mnn_dev.zip) to make sure you are using the same version with mine.
+```bash
+unzip mnn_dev.zip
+cd mnn_dev
+chmod +x ./setup.bash && ./setup.bash
+```
+
+## 2. setup & model preparation
+
+- first, modify link_libraries of MNN in CMakeLists.txt
+- compile this demo
+
+```bash
+chmod +x setup.bash && ./setup.bash
+```
+- convert your own mnn models and put it in "./models"
+
+```bash
+cd /path_to_your_MNN/build
+./MNNConvert -f ONNX --modelFile XXX.onnx --MNNModel xxx.mnn --fp16
+```
+or you can download converted [**coco model**](https://github.com/LSH9832/edgeyolo/releases/download/v1.0.1/edgeyolo_coco.mnn) and [**visdrone model**](https://github.com/LSH9832/edgeyolo/releases/download/v1.0.1/edgeyolo_visdrone.mnn) (tiny-lrelu) and put them in dir "./models"
+
+then modify **config/mnn_detection_xxx.yaml**:
+
+```yaml
+model: "/path_to_this_project/models/edgeyolo_coco.mnn"
+names: ['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']
+num_threads: 3             # number of threads while doing inference
+conf_thres: 0.25
+nms_thres: 0.45
+```
+
+
+## 3. run edgeyolo with MNN
+
+```bash
+# example
+./build/mnn_det --cfg config/mnn_detection_coco  \  # model config
+                --video                          \  # or --device --picture
+                --source /path_to_video_file.mp4 \  # or 0 for camera, or /path/to/image.jpg for picture
+                --no-label # do not draw label
+```
+

cpp/mnn/config/mnn_detection_coco.yaml

@@ -0,0 +1,13 @@
+model: "models/edgeyolo_coco.mnn"
+names: ['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']
+num_threads: 3
+conf_thres: 0.25
+nms_thres: 0.45

cpp/mnn/config/mnn_detection_visdrone.yaml

@@ -0,0 +1,5 @@
+model: "models/edgeyolo_visdrone.mnn"
+names: ['pedestrian', 'people', 'bicycle', 'car', 'van', 'truck', 'tricycle', 'awning-tricycle', 'bus', 'motor']
+num_threads: 4
+conf_thres: 0.25
+nms_thres: 0.45