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--- products:sbc:vim4:npu:demos:densenet [2024/12/10 02:40]
louis
+++ products:sbc:vim4:npu:demos:densenet [2025/06/11 21:49] (current)
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@@ Line 6: / Line 6: @@
 {{indexmenu_n>3}}
+===== 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 VIM4.
+{{:products:sbc:vim4:npu:demos:khadasteam.webp?400|}}  {{:products:sbc:vim4:npu:demos:densenet-demo-output.webp?400|}}
 ===== Get the source code =====
@@ Line 28: / Line 37: @@
 ==== Get the conversion tool ====
-Download The conversion tool from [[gl>khadas/vim4_npu_sdk]].
+Download The conversion tool from [[gh>khadas/vim4_npu_sdk]].
 ```shell
-$ git lfs install
+$ git clone https://github.com/khadas/vim4_npu_sdk
-$ git lfs clone https://gitlab.com/khadas/vim4_npu_sdk.git
 $ cd vim4_npu_sdk
+$ git lfs pull
 $ ls
 adla-toolkit-binary  adla-toolkit-binary-3.1.7.4  convert-in-docker.sh  Dockerfile  docs  README.md
@@ Line 43: / Line 52: @@
 <WRAP important>
-If your kernel is older than 241129, please use version before tag ddk-3.4.7.7.
+If your kernel is older than 241129, please use branch npu-ddk-1.7.5.5
 </WRAP>

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