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products:sbc:edge2:npu:demos:densenet-ctc
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products:sbc:edge2:npu:demos:densenet-ctc [2023/08/25 03:48] louis |
products:sbc:edge2:npu:demos:densenet-ctc [2025/04/09 23:25] (current) louis |
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| - | ====== Demo3 - Densenet CTC ====== | + | ~~tag> DenseNet NPU Edge2 RK3588~~ |
| - | ===== Get Source Code ===== | + | ====== DenseNet CTC ONNX Keras Edge2 Demo - 3 ====== |
| - | The codes we use. | + | {{indexmenu_n> |
| + | |||
| + | ===== Introduction ===== | ||
| + | |||
| + | Densenet_CTC is a text recognition model. It only can recognize single line text. Therefore usually, it needs to be used in conjunction with a text detection model. | ||
| + | |||
| + | Recognition image and inference results on Edge2. | ||
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| + | {{: | ||
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| + | ===== Train Model ===== | ||
| + | |||
| + | We will use a DenseNet model based on [[gh> | ||
| ```shell | ```shell | ||
| Line 34: | Line 47: | ||
| ==== Get convert tool ==== | ==== Get convert tool ==== | ||
| - | Download Tool from [[https:// | + | Download Tool from [[gh>rockchip-linux/ |
| ```shell | ```shell | ||
| Line 127: | Line 140: | ||
| ==== Get source code ==== | ==== Get source code ==== | ||
| - | Clone the source code form our [[https:// | + | Clone the source code from our [[gh>khadas/ |
| ```shell | ```shell | ||
| Line 148: | Line 161: | ||
| ```shell | ```shell | ||
| # Compile | # Compile | ||
| + | $ cd edge2-npu/ | ||
| $ bash build.sh | $ bash build.sh | ||
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| <WRAP tip > | <WRAP tip > | ||
| - | If your densenet_ctc | + | If your **DenseNet CTC** model classes is not the same as mine, please change '' |
| </ | </ | ||
Last modified: 2023/08/25 03:48 by louis