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install opencv;
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build MNN
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build this project
mkdir build;cd build cmake -DMNN="your MNN path" .. make
| model | source | demo | note |
|---|---|---|---|
| MobileNet V1/V2/V3 | link | src | |
| EfficientNet | link | src | AdvProp use different preprocess |
| RepVGG | link | src |
./mobilenet mobilenet_v2.mnn cat.jpg
Output:
class: 282 prob: 0.537347
class: 283 prob: 0.14923
class: 286 prob: 0.127461
class: 288 prob: 0.0312308
class: 284 prob: 0.0156367
| model | source | demo | note |
|---|---|---|---|
| Yolo V3 | link | src | pass in lastest version |
| Yolo V3 | link | src | decode box by hard code |
./yolov3 yolov3.mnn image2.jpg
Output:
| model | source | demo | note |
|---|---|---|---|
| Deeplab V3 | link | src |
./deeplab deeplab.mnn image1.jpg
Output:
| model | source | demo | note |
|---|---|---|---|
| White Box Cartoonize | link | src |
./white-box-cartoonize cartoonize.mnn food16.jpg | model | source | demo | note |
|---|---|---|---|
| DBPN | link | src |
./dbpn dbpn_x2.mnn butterfly_x2.jpg
frozen_graph.py: to fix input shape or make partition.