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基于标准的ubuntu系统,Tengine提供了命令行的安装方式,通过apt-get命令,可下载Tengine库,并且同步提供相应的预置Demo,欢迎大家试用。
以下所有命令均在设备的命令行运行
硬件 | 系统 |
---|---|
x86 | ubuntu18.04 |
A311D | ubuntu18.04 |
echo deb [trusted=yes] http://58.33.201.109:8099/x86/ focal main | sudo tee -a /etc/apt/sources.list
echo deb [trusted=yes] http://58.33.201.109:8099/a311d/ focal main | sudo tee -a /etc/apt/sources.list
sudo apt-get update
sudo apt-get install tengine
/usr/
├── bin
│ ├── convert_tool
│ ├── quant_tool_uint8
│ ├── tm_classification
│ └── tm_yolov5s
├── include
│ └── tengine
│ ├── c_api.h
│ └── defines.h
├── lib
│ └── libtengine-lite.so
└── share
├── cat.jpg
├── mobilenet.tmfile
├── ssd_dog.jpg
└── yolov5s.tmfile
/usr/
├── bin
│ ├── tm_classification
│ ├── tm_yolov5s
│ └── tm_yolov5s_timvx
├── include
│ └── tengine
│ ├── c_api.h
│ └── defines.h
├── lib
│ └── libtengine-lite.so
└── share
├── cat.jpg
├── mobilenet.tmfile
├── ssd_dog.jpg
├── yolov5s.tmfile
└── yolov5s_uint8.tmfile
分类网络示例
peter@test-server:/usr/bin$ ./tm_classification -m /usr/share/mobilenet.tmfile -i /usr/share/cat.jpg
Image height not specified, use default 224
Image width not specified, use default 224
Scale value not specified, use default 0.0, 0.0, 0.0
Mean value not specified, use default 104.0, 116.7, 122.7
tengine-lite library version: 1.5-dev
model file : /usr/share/mobilenet.tmfile
image file : /usr/share/cat.jpg
img_h, img_w, scale[3], mean[3] : 224 224 , 0.017 0.017 0.017, 104.0 116.7 122.7
Repeat 1 times, thread 1, avg time 23.36 ms, max_time 23.36 ms, min_time 23.36 ms
--------------------------------------
8.574143, 282
7.880117, 277
7.812573, 278
7.286458, 263
6.357487, 281
--------------------------------------
检测网络示例
peter@test-server:/usr/bin$ ./tm_yolov5s -m /usr/share/yolov5s.tmfile -i /usr/share/ssd_dog.jpg
tengine-lite library version: 1.5-dev
Repeat 1 times, thread 1, avg time 306.23 ms, max_time 306.23 ms, min_time 306.23 ms
--------------------------------------
detection num: 3
16: 89%, [ 135, 218, 313, 558], dog
7: 86%, [ 472, 78, 689, 169], truck
1: 75%, [ 124, 107, 578, 449], bicycle
--------------------------------------
分类网络示例-cpu
cd /usr/bin/
khadas@Khadas:/usr/bin$ ./tm_classification -m /usr/share/mobilenet.tmfile -i /usr/share/cat.jpg
Image height not specified, use default 224
Image width not specified, use default 224
Scale value not specified, use default 0.0, 0.0, 0.0
Mean value not specified, use default 104.0, 116.7, 122.7
tengine-lite library version: 1.5-dev
model file : /usr/share/mobilenet.tmfile
image file : /usr/share/cat.jpg
img_h, img_w, scale[3], mean[3] : 224 224 , 0.017 0.017 0.017, 104.0 116.7 122.7
Repeat 1 times, thread 1, avg time 104.37 ms, max_time 104.37 ms, min_time 104.37 ms
--------------------------------------
8.574153, 282
7.880111, 277
7.812575, 278
7.286450, 263
6.357493, 281
--------------------------------------
检测网络示例-CPU
khadas@Khadas:/usr/bin$ ./tm_yolov5s -m /usr/share/yolov5s.tmfile -i /usr/share/ssd_dog.jpg
tengine-lite library version: 1.5-dev
Repeat 1 times, thread 1, avg time 1369.74 ms, max_time 1369.74 ms, min_time 1369.74 ms
--------------------------------------
detection num: 3
16: 89%, [ 135, 218, 313, 558], dog
7: 86%, [ 472, 78, 689, 169], truck
1: 75%, [ 123, 107, 578, 449], bicycle
--------------------------------------
检测网络示例-NPU
khadas@Khadas:/usr/bin$ ./tm_yolov5s_timvx -m /usr/share/yolov5s_uint8.tmfile -i /usr/share/ssd_dog.jpg
Please make sure Galcore Sdk version > 6.4.4,Please refer to https://github.com/OAID/Tengine/blob/tengine-lite/doc/npu_tim-vx_user_manual_zh.md for more information
tengine-lite library version: 1.5-dev
Repeat 1 times, thread 1, avg time 68.33 ms, max_time 68.33 ms, min_time 68.33 ms
--------------------------------------
detection num: 3
16: 89%, [ 136, 224, 313, 550], dog
7: 87%, [ 473, 72, 692, 171], truck
1: 75%, [ 129, 108, 578, 443], bicycle
--------------------------------------
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