yolofastest在FPGA IP 简单代码

以下是一个基本的YoloFastest FPGA IP代码框架：

module yolofastest_ip (
    input clk,
    input rst,
    input [DATA_WIDTH-1:0] input_data,
    output [RESULT_WIDTH-1:0] result
);

// 定义数据宽度
parameter DATA_WIDTH = 32;

// 定义结果宽度
parameter RESULT_WIDTH = 8;

// 定义各层的参数
parameter CONV1_KERNEL_SIZE = 3;
parameter CONV1_NUM_FILTERS = 16;
parameter CONV2_KERNEL_SIZE = 3;
parameter CONV2_NUM_FILTERS = 32;
parameter CONV3_KERNEL_SIZE = 3;
parameter CONV3_NUM_FILTERS = 64;
parameter CONV4_KERNEL_SIZE = 3;
parameter CONV4_NUM_FILTERS = 128;
parameter CONV5_KERNEL_SIZE = 3;
parameter CONV5_NUM_FILTERS = 256;
parameter CONV6_KERNEL_SIZE = 3;
parameter CONV6_NUM_FILTERS = 512;
parameter CONV7_KERNEL_SIZE = 3;
parameter CONV7_NUM_FILTERS = 1024;
parameter CONV8_KERNEL_SIZE = 1;
parameter CONV8_NUM_FILTERS = 425;

// 定义卷积核和偏置
reg signed [DATA_WIDTH-1:0] conv1_kernel[CONV1_KERNEL_SIZE][CONV1_KERNEL_SIZE][3][CONV1_NUM_FILTERS];
reg signed [DATA_WIDTH-1:0] conv1_bias[CONV1_NUM_FILTERS];
reg signed [DATA_WIDTH-1:0] conv2_kernel[CONV2_KERNEL_SIZE][CONV2_KERNEL_SIZE][CONV1_NUM_FILTERS][CONV2_NUM_FILTERS];
reg signed [DATA_WIDTH-1:0] conv2_bias[CONV2_NUM_FILTERS];
reg signed [DATA_WIDTH-1:0] conv3_kernel[CONV3_KERNEL_SIZE][CONV3_KERNEL_SIZE][CONV2_NUM_FILTERS][CONV3_NUM_FILTERS];
reg signed [DATA_WIDTH-1:0] conv3_bias[CONV3_NUM_FILTERS];
reg signed [DATA_WIDTH-1:0] conv4_kernel[CONV4_KERNEL_SIZE][CONV4_KERNEL_SIZE][CONV3_NUM_FILTERS][CONV4_NUM_FILTERS];
reg signed [DATA_WIDTH-1:0] conv4_bias[CONV4_NUM_FILTERS];
reg signed [DATA_WIDTH-1:0] conv5_kernel[CONV5_KERNEL_SIZE][CONV5_KERNEL_SIZE][CONV4_NUM_FILTERS][CONV5_NUM_FILTERS];
reg signed [DATA_WIDTH-1:0] conv5_bias[CONV5_NUM_FILTERS];
reg signed [DATA_WIDTH-1:0] conv6_kernel[CONV6_KERNEL_SIZE][CONV6_KERNEL_SIZE][CONV5_NUM_FILTERS][CONV6_NUM_FILTERS];
reg signed [DATA_WIDTH-1:0] conv6_bias[CONV6_NUM_FILTERS];
reg signed [DATA_WIDTH-1:0] conv7_kernel[CONV7_KERNEL_SIZE][CONV7_KERNEL_SIZE][CONV6_NUM_FILTERS][CONV7_NUM_FILTERS];
reg signed [DATA_WIDTH-1:0] conv7_bias[CONV7_NUM_FILTERS];
reg signed [DATA_WIDTH-1:0] conv8_kernel[CONV8_KERNEL_SIZE][CONV8_KERNEL_SIZE][CONV7_NUM_FILTERS][CONV8_NUM_FILTERS];
reg signed [DATA_WIDTH-1:0] conv8_bias[CONV8_NUM_FILTERS];

// 定义卷积模块
conv_module #(
    .DATA_WIDTH(DATA_WIDTH),
    .KERNEL_SIZE(CONV1_KERNEL_SIZE),
    .NUM_FILTERS(CONV1_NUM_FILTERS)
) conv1 (
    .clk(clk),
    .rst(rst),
    .input_data(input_data),
    .kernel(conv1_kernel),
    .bias(conv1_bias),
    .output_data(conv1_output)
);

conv_module #(
    .DATA_WIDTH(DATA_WIDTH),
    .KERNEL_SIZE(CONV2_KERNEL_SIZE),
    .NUM_FILTERS(CONV2_NUM_FILTERS)
) conv2 (
    .clk(clk),
    .rst(rst),
    .input_data(conv1_output),
    .kernel(conv2_kernel),
    .bias(conv2_bias),
    .output_data(conv2_output)
);

// 定义其他层的卷积模块

// 定义结果输出模块
result_module #(
    .DATA_WIDTH(DATA_WIDTH),
    .RESULT_WIDTH(RESULT_WIDTH)
) result_module (
    .clk(clk),
    .rst(rst),
    .input_data(conv8_output),
    .result(result)
);

endmodule

这个代码框架只是一个简单的示例，实际的YoloFastest FPGA IP代码需要根据具体需求进行调整和优化。