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1. FPGA AI Suite SoC Design Example User Guide
2. About the SoC Design Example
3. FPGA AI Suite SoC Design Example Quick Start Tutorial
4. FPGA AI Suite SoC Design Example Run Process
5. FPGA AI Suite SoC Design Example Build Process
6. FPGA AI Suite SoC Design Example Quartus® Prime System Architecture
7. FPGA AI Suite Soc Design Example Software Components
8. Streaming-to-Memory (S2M) Streaming Demonstration
A. FPGA AI Suite SoC Design Example User Guide Archives
B. FPGA AI Suite SoC Design Example User Guide Document Revision History
3.1. Initial Setup
3.2. Initializing a Work Directory
3.3. (Optional) Create an SD Card Image (.wic)
3.4. Writing the SD Card Image (.wic) to an SD Card
3.5. Preparing SoC FPGA Development Kits for the FPGA AI Suite SoC Design Example
3.6. Adding Compiled Graphs (AOT files) to the SD Card
3.7. Verifying FPGA Device Drivers
3.8. Running the Demonstration Applications
7.1.1. Yocto Recipe: recipes-core/images/coredla-image.bb
7.1.2. Yocto Recipe: recipes-bsp/u-boot/u-boot-socfpga_%.bbappend
7.1.3. Yocto Recipe: recipes-drivers/msgdma-userio/msgdma-userio.bb
7.1.4. Yocto Recipe: recipes-drivers/uio-devices/uio-devices.bb
7.1.5. Yocto Recipe: recipes-kernel/linux/linux-socfpga-lts_5.15.bbappend
7.1.6. Yocto Recipe: wic
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3.3.4. (Optional) Downloading the ImageNet Categories
By default, the S2M streaming app prints the category associated with each image after inference.
Optionally, you can use human-readable category names as follows:
- Download the list of ImageNet categories from a source such as the following URL:
https://github.com/xmartlabs/caffeflow/blob/master/examples/imagenet/imagenet-classes.txt
- Place the contents into the following file:
$COREDLA_WORK/runtime/streaming/streaming_inference_app/categories.txt