G2D图像处理硬件调用和测试-基于米尔全志T113-i开发板
2024-04-09
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来源：米尔电子
本篇测评由电子工程世界的优秀测评者“jf_99374259”提供。
本文将介绍基于米尔电子MYD-YT113i开发板的G2D图像处理硬件调用和测试。
MYC-YT113i核心板及开发板
真正的国产核心板，100%国产物料认证
国产T113-i处理器配备2*Cortex-A7@1.2GHz ，RISC-V
外置DDR3接口、支持视频编解码器、HiFi4 DSP
接口丰富：视频采集接口、显示器接口、USB2.0 接口、CAN 接口、千兆以太网接口
工业级：-40℃~+85℃、尺寸37mm*39mm
邮票孔+LGA，140+50PIN
全志 T113-i 2D图形加速硬件支持情况
Supports layer size up to 2048 x 2048 pixels
Supports pre-multiply alpha image data
Supports color key
Supports two pipes Porter-Duff alpha blending
Supports multiple video formats 4:2:0, 4:2:2, 4:1:1 and multiple pixel formats (8/16/24/32 bits graphics
layer)Supports memory scan order option
Supports any format convert function
Supports 1/16× to 32× resize ratio
Supports 32-phase 8-tap horizontal anti-alias filter and 32-phase 4-tap vertical anti-alias filter
Supports window clip
Supports FillRectangle, BitBlit, StretchBlit and MaskBlit
Supports horizontal and vertical flip, clockwise 0/90/180/270 degree rotate for normal buffer
Supports horizontal flip, clockwise 0/90/270 degree rotate for LBC buffer
可以看到 g2d 硬件支持相当多的2D图像处理，包括颜色空间转换，分辨率缩放，图层叠加，旋转等
开发环境配置
基于C语言实现的YUV转RGB
这里复用之前T113-i JPG解码的函数
void yuv420sp2rgb(const unsigned char* yuv420sp, int w, int h, unsigned char* rgb)
{
const unsigned char* yptr = yuv420sp;
const unsigned char* vuptr = yuv420sp + w * h;
for (int y = 0; y < h; y += 2)
{
const unsigned char* yptr0 = yptr;
const unsigned char* yptr1 = yptr + w;
unsigned char* rgb0 = rgb;
unsigned char* rgb1 = rgb + w * 3;
int remain = w;
#define SATURATE_CAST_UCHAR(X) (unsigned char)::std::min(::std::max((int)(X), 0), 255);
for (; remain > 0; remain -= 2)
{
// R = 1.164 * yy + 1.596 * vv
// G = 1.164 * yy - 0.813 * vv - 0.391 * uu
// B = 1.164 * yy + 2.018 * uu
// R = Y + (1.370705 * (V-128))
// G = Y - (0.698001 * (V-128)) - (0.337633 * (U-128))
// B = Y + (1.732446 * (U-128))
// R = ((Y << 6) + 87.72512 * (V-128)) >> 6
// G = ((Y << 6) - 44.672064 * (V-128) - 21.608512 * (U-128)) >> 6
// B = ((Y << 6) + 110.876544 * (U-128)) >> 6
// R = ((Y << 6) + 90 * (V-128)) >> 6
// G = ((Y << 6) - 46 * (V-128) - 22 * (U-128)) >> 6
// B = ((Y << 6) + 113 * (U-128)) >> 6
// R = (yy + 90 * vv) >> 6
// G = (yy - 46 * vv - 22 * uu) >> 6
// B = (yy + 113 * uu) >> 6
int v = vuptr[0] - 128;
int u = vuptr[1] - 128;
int ruv = 90 * v;
int guv = -46 * v + -22 * u;
int buv = 113 * u;
int y00 = yptr0[0] << 6;
rgb0[0] = SATURATE_CAST_UCHAR((y00 + ruv) >> 6);
rgb0[1] = SATURATE_CAST_UCHAR((y00 + guv) >> 6);
rgb0[2] = SATURATE_CAST_UCHAR((y00 + buv) >> 6);
int y01 = yptr0[1] << 6;
rgb0[3] = SATURATE_CAST_UCHAR((y01 + ruv) >> 6);
rgb0[4] = SATURATE_CAST_UCHAR((y01 + guv) >> 6);
rgb0[5] = SATURATE_CAST_UCHAR((y01 + buv) >> 6);
int y10 = yptr1[0] << 6;
rgb1[0] = SATURATE_CAST_UCHAR((y10 + ruv) >> 6);
rgb1[1] = SATURATE_CAST_UCHAR((y10 + guv) >> 6);
rgb1[2] = SATURATE_CAST_UCHAR((y10 + buv) >> 6);
int y11 = yptr1[1] << 6;
rgb1[3] = SATURATE_CAST_UCHAR((y11 + ruv) >> 6);
rgb1[4] = SATURATE_CAST_UCHAR((y11 + guv) >> 6);
rgb1[5] = SATURATE_CAST_UCHAR((y11 + buv) >> 6);
yptr0 += 2;
yptr1 += 2;
vuptr += 2;
rgb0 += 6;
rgb1 += 6;
}
#undef SATURATE_CAST_UCHAR
yptr += 2 * w;
rgb += 2 * 3 * w;
}
}
基于ARM neon指令集优化的YUV转RGB
考虑到armv7编译器的自动neon优化能力较差，这里针对性的编写 arm neon inline assembly 实现YUV2RGB内核部分，达到最优化的性能，榨干cpu性能
void yuv420sp2rgb_neon(const unsigned char* yuv420sp, int w, int h, unsigned char* rgb)
{
const unsigned char* yptr = yuv420sp;
const unsigned char* vuptr = yuv420sp + w * h;
#if __ARM_NEON
uint8x8_t _v128 = vdup_n_u8(128);
int8x8_t _v90 = vdup_n_s8(90);
int8x8_t _v46 = vdup_n_s8(46);
int8x8_t _v22 = vdup_n_s8(22);
int8x8_t _v113 = vdup_n_s8(113);
#endif // __ARM_NEON
for (int y = 0; y < h; y += 2)
{
const unsigned char* yptr0 = yptr;
const unsigned char* yptr1 = yptr + w;
unsigned char* rgb0 = rgb;
unsigned char* rgb1 = rgb + w * 3;
#if __ARM_NEON
int nn = w >> 3;
int remain = w - (nn << 3);
#else
int remain = w;
#endif // __ARM_NEON
#if __ARM_NEON
#if __aarch64__
for (; nn > 0; nn--)
{
int16x8_t _yy0 = vreinterpretq_s16_u16(vshll_n_u8(vld1_u8(yptr0), 6));
int16x8_t _yy1 = vreinterpretq_s16_u16(vshll_n_u8(vld1_u8(yptr1), 6));
int8x8_t _vvuu = vreinterpret_s8_u8(vsub_u8(vld1_u8(vuptr), _v128));
int8x8x2_t _vvvvuuuu = vtrn_s8(_vvuu, _vvuu);
int8x8_t _vv = _vvvvuuuu.val[0];
int8x8_t _uu = _vvvvuuuu.val[1];
int16x8_t _r0 = vmlal_s8(_yy0, _vv, _v90);
int16x8_t _g0 = vmlsl_s8(_yy0, _vv, _v46);
_g0 = vmlsl_s8(_g0, _uu, _v22);
int16x8_t _b0 = vmlal_s8(_yy0, _uu, _v113);
int16x8_t _r1 = vmlal_s8(_yy1, _vv, _v90);
int16x8_t _g1 = vmlsl_s8(_yy1, _vv, _v46);
_g1 = vmlsl_s8(_g1, _uu, _v22);
int16x8_t _b1 = vmlal_s8(_yy1, _uu, _v113);
uint8x8x3_t _rgb0;
_rgb0.val[0] = vqshrun_n_s16(_r0, 6);
_rgb0.val[1] = vqshrun_n_s16(_g0, 6);
_rgb0.val[2] = vqshrun_n_s16(_b0, 6);
uint8x8x3_t _rgb1;
_rgb1.val[0] = vqshrun_n_s16(_r1, 6);
_rgb1.val[1] = vqshrun_n_s16(_g1, 6);
_rgb1.val[2] = vqshrun_n_s16(_b1, 6);
vst3_u8(rgb0, _rgb0);
vst3_u8(rgb1, _rgb1);
yptr0 += 8;
yptr1 += 8;
vuptr += 8;
rgb0 += 24;
rgb1 += 24;
}
#else
if (nn > 0)
{
asm volatile(
"0: n"
"pld [%3, #128] n"
"vld1.u8 {d2}, [%3]! n"
"vsub.s8 d2, d2, %12 n"
"pld [%1, #128] n"
"vld1.u8 {d0}, [%1]! n"
"pld [%2, #128] n"
"vld1.u8 {d1}, [%2]! n"
"vshll.u8 q2, d0, #6 n"
"vorr d3, d2, d2 n"
"vshll.u8 q3, d1, #6 n"
"vorr q9, q2, q2 n"
"vtrn.s8 d2, d3 n"
"vorr q11, q3, q3 n"
"vmlsl.s8 q9, d2, %14 n"
"vorr q8, q2, q2 n"
"vmlsl.s8 q11, d2, %14 n"
"vorr q10, q3, q3 n"
"vmlal.s8 q8, d2, %13 n"
"vmlal.s8 q2, d3, %16 n"
"vmlal.s8 q10, d2, %13 n"
"vmlsl.s8 q9, d3, %15 n"
"vmlal.s8 q3, d3, %16 n"
"vmlsl.s8 q11, d3, %15 n"
"vqshrun.s16 d24, q8, #6 n"
"vqshrun.s16 d26, q2, #6 n"
"vqshrun.s16 d4, q10, #6 n"
"vqshrun.s16 d25, q9, #6 n"
"vqshrun.s16 d6, q3, #6 n"
"vqshrun.s16 d5, q11, #6 n"
"subs %0, #1 n"
"vst3.u8 {d24-d26}, [%4]! n"
"vst3.u8 {d4-d6}, [%5]! n"
"bne 0b n"
: "=r"(nn), // %0
"=r"(yptr0), // %1
"=r"(yptr1), // %2
"=r"(vuptr), // %3
"=r"(rgb0), // %4
"=r"(rgb1) // %5
: "0"(nn),
"1"(yptr0),
"2"(yptr1),
"3"(vuptr),
"4"(rgb0),
"5"(rgb1),
"w"(_v128), // %12
"w"(_v90), // %13
"w"(_v46), // %14
"w"(_v22), // %15
"w"(_v113) // %16
: "cc", "memory", "q0", "q1", "q2", "q3", "q8", "q9", "q10", "q11", "q12", "d26");
}
#endif // __aarch64__
#endif // __ARM_NEON
#define SATURATE_CAST_UCHAR(X) (unsigned char)::std::min(::std::max((int)(X), 0), 255);
for (; remain > 0; remain -= 2)
{
// R = 1.164 * yy + 1.596 * vv
// G = 1.164 * yy - 0.813 * vv - 0.391 * uu
// B = 1.164 * yy + 2.018 * uu
// R = Y + (1.370705 * (V-128))
// G = Y - (0.698001 * (V-128)) - (0.337633 * (U-128))
// B = Y + (1.732446 * (U-128))
// R = ((Y << 6) + 87.72512 * (V-128)) >> 6
// G = ((Y << 6) - 44.672064 * (V-128) - 21.608512 * (U-128)) >> 6
// B = ((Y << 6) + 110.876544 * (U-128)) >> 6
// R = ((Y << 6) + 90 * (V-128)) >> 6
// G = ((Y << 6) - 46 * (V-128) - 22 * (U-128)) >> 6
// B = ((Y << 6) + 113 * (U-128)) >> 6
// R = (yy + 90 * vv) >> 6
// G = (yy - 46 * vv - 22 * uu) >> 6
// B = (yy + 113 * uu) >> 6
int v = vuptr[0] - 128;
int u = vuptr[1] - 128;
int ruv = 90 * v;
int guv = -46 * v + -22 * u;
int buv = 113 * u;
int y00 = yptr0[0] << 6;
rgb0[0] = SATURATE_CAST_UCHAR((y00 + ruv) >> 6);
rgb0[1] = SATURATE_CAST_UCHAR((y00 + guv) >> 6);
rgb0[2] = SATURATE_CAST_UCHAR((y00 + buv) >> 6);
int y01 = yptr0[1] << 6;
rgb0[3] = SATURATE_CAST_UCHAR((y01 + ruv) >> 6);
rgb0[4] = SATURATE_CAST_UCHAR((y01 + guv) >> 6);
rgb0[5] = SATURATE_CAST_UCHAR((y01 + buv) >> 6);
int y10 = yptr1[0] << 6;
rgb1[0] = SATURATE_CAST_UCHAR((y10 + ruv) >> 6);
rgb1[1] = SATURATE_CAST_UCHAR((y10 + guv) >> 6);
rgb1[2] = SATURATE_CAST_UCHAR((y10 + buv) >> 6);
int y11 = yptr1[1] << 6;
rgb1[3] = SATURATE_CAST_UCHAR((y11 + ruv) >> 6);
rgb1[4] = SATURATE_CAST_UCHAR((y11 + guv) >> 6);
rgb1[5] = SATURATE_CAST_UCHAR((y11 + buv) >> 6);
yptr0 += 2;
yptr1 += 2;
vuptr += 2;
rgb0 += 6;
rgb1 += 6;
}
#undef SATURATE_CAST_UCHAR
yptr += 2 * w;
rgb += 2 * 3 * w;
}
}
基于G2D图形硬件的YUV转RGB
我们先实现 dmaion buffer 管理器，参考
这里贴的代码省略了异常错误处理的逻辑，有个坑是 linux-4.9 和 linux-5.4 用法不一样，米尔电子的这个T113-i系统是linux-5.4，所以不兼容4.9内核的ioctl用法习惯
struct ion_memory
{
size_t size;
int fd;
void* virt_addr;
unsigned int phy_addr;
};
class ion_allocator
{
public:
ion_allocator();
~ion_allocator();
int open();
void close();
int alloc(size_t size, struct ion_memory* mem);
int free(struct ion_memory* mem);
int flush(struct ion_memory* mem);
public:
int ion_fd;
int cedar_fd;
};
ion_allocator::ion_allocator()
{
ion_fd = -1;
cedar_fd = -1;
}
ion_allocator::~ion_allocator()
{
close();
}
int ion_allocator::open()
{
close();
ion_fd = ::open("/dev/ion", O_RDWR);
cedar_fd = ::open("/dev/cedar_dev", O_RDONLY);
ioctl(cedar_fd, IOCTL_ENGINE_REQ, 0);
return 0;
}
void ion_allocator::close()
{
if (cedar_fd != -1)
{
ioctl(cedar_fd, IOCTL_ENGINE_REL, 0);
::close(cedar_fd);
cedar_fd = -1;
}
if (ion_fd != -1)
{
::close(ion_fd);
ion_fd = -1;
}
}
int ion_allocator::alloc(size_t size, struct ion_memory* mem)
{
struct aw_ion_new_alloc_data alloc_data;
alloc_data.len = size;
alloc_data.heap_id_mask = AW_ION_SYSTEM_HEAP_MASK;
alloc_data.flags = AW_ION_CACHED_FLAG | AW_ION_CACHED_NEEDS_SYNC_FLAG;
alloc_data.fd = 0;
alloc_data.unused = 0;
ioctl(ion_fd, AW_ION_IOC_NEW_ALLOC, &alloc_data);
void* virt_addr = mmap(NULL, size, PROT_READ|PROT_WRITE, MAP_SHARED, alloc_data.fd, 0);
struct aw_user_iommu_param iommu_param;
iommu_param.fd = alloc_data.fd;
iommu_param.iommu_addr = 0;
ioctl(cedar_fd, IOCTL_GET_IOMMU_ADDR, &iommu_param);
mem->size = size;
mem->fd = alloc_data.fd;
mem->virt_addr = virt_addr;
mem->phy_addr = iommu_param.iommu_addr;
return 0;
}
int ion_allocator::free(struct ion_memory* mem)
{
if (mem->fd == -1)
return 0;
struct aw_user_iommu_param iommu_param;
iommu_param.fd = mem->fd;
ioctl(cedar_fd, IOCTL_FREE_IOMMU_ADDR, &iommu_param);
munmap(mem->virt_addr, mem->size);
::close(mem->fd);
mem->size = 0;
mem->fd = -1;
mem->virt_addr = 0;
mem->phy_addr = 0;
return 0;
}
int ion_allocator::flush(struct ion_memory* mem)
{
struct dma_buf_sync sync;
sync.flags = DMA_BUF_SYNC_END | DMA_BUF_SYNC_RW;
ioctl(mem->fd, DMA_BUF_IOCTL_SYNC, &sync);
return 0;
}
然后再实现 G2D图形硬件 YUV转RGB 的转换器
提前分配好YUV和RGB的dmaion buffer
将YUV数据拷贝到dmaion buffer，flush cache完成同步
配置转换参数，ioctl调用G2D_CMD_BITBLT_H完成转换
flush cache完成同步，从dmaion buffer拷贝出RGB数据
释放dmaion buffer
// 步骤1
ion_allocator ion;
ion.open();
struct ion_memory yuv_ion;
ion.alloc(rgb_size, &rgb_ion);
struct ion_memory rgb_ion;
ion.alloc(yuv_size, &yuv_ion);
int g2d_fd = ::open("/dev/g2d", O_RDWR);
// 步骤2
memcpy((unsigned char*)yuv_ion.virt_addr, yuv420sp, yuv_size);
ion.flush(&yuv_ion);
// 步骤3
g2d_blt_h blit;
memset(&blit, 0, sizeof(blit));
blit.flag_h = G2D_BLT_NONE_H;
blit.src_image_h.format = G2D_FORMAT_YUV420UVC_V1U1V0U0;
blit.src_image_h.width = width;
blit.src_image_h.height = height;
blit.src_image_h.align[0] = 0;
blit.src_image_h.align[1] = 0;
blit.src_image_h.clip_rect.x = 0;
blit.src_image_h.clip_rect.y = 0;
blit.src_image_h.clip_rect.w = width;
blit.src_image_h.clip_rect.h = height;
blit.src_image_h.gamut = G2D_BT601;
blit.src_image_h.bpremul = 0;
blit.src_image_h.mode = G2D_PIXEL_ALPHA;
blit.src_image_h.use_phy_addr = 0;
blit.src_image_h.fd = yuv_ion.fd;
blit.dst_image_h.format = G2D_FORMAT_RGB888;
blit.dst_image_h.width = width;
blit.dst_image_h.height = height;
blit.dst_image_h.align[0] = 0;
blit.dst_image_h.clip_rect.x = 0;
blit.dst_image_h.clip_rect.y = 0;
blit.dst_image_h.clip_rect.w = width;
blit.dst_image_h.clip_rect.h = height;
blit.dst_image_h.gamut = G2D_BT601;
blit.dst_image_h.bpremul = 0;
blit.dst_image_h.mode = G2D_PIXEL_ALPHA;
blit.dst_image_h.use_phy_addr = 0;
blit.dst_image_h.fd = rgb_ion.fd;
ioctl(g2d_fd, G2D_CMD_BITBLT_H, &blit);
// 步骤4
ion.flush(&rgb_ion);
memcpy(rgb, (const unsigned char*)rgb_ion.virt_addr, rgb_size);
// 步骤5
ion.free(&rgb_ion);
ion.free(&yuv_ion);
ion.close();
::close(g2d_fd);
G2D图像硬件YUV转RGB测试
考虑到dmaion buffer分配和释放都比较耗时，我们提前做好，循环调用步骤3的G2D转换，统计耗时，并在top工具中查看CPU占用率
sh-4.4# LD_LIBRARY_PATH=. ./g2dtest INFO : cedarc <CedarPluginVDInit:84>: register mjpeg decoder success! this device is not whitelisted for jpeg decoder cvi this device is not whitelisted for jpeg decoder cvi this device is not whitelisted for jpeg decoder cvi this device is not whitelisted for jpeg encoder rkmpp INFO : cedarc <log_set_level:43>: Set log level to 5 from /vendor/etc/cedarc.conf ERROR : cedarc <DebugCheckConfig:316>: now cedarc log level:5 ERROR : cedarc <VideoEncCreate:241>: now cedarc log level:5 yuv420sp2rgb 46.61 yuv420sp2rgb 42.04 yuv420sp2rgb 41.32 yuv420sp2rgb 42.06 yuv420sp2rgb 41.69 yuv420sp2rgb 42.05 yuv420sp2rgb 41.29 yuv420sp2rgb 41.30 yuv420sp2rgb 42.14 yuv420sp2rgb 41.33 yuv420sp2rgb_neon 10.57 yuv420sp2rgb_neon 7.21 yuv420sp2rgb_neon 6.77 yuv420sp2rgb_neon 8.31 yuv420sp2rgb_neon 7.60 yuv420sp2rgb_neon 6.80 yuv420sp2rgb_neon 6.77 yuv420sp2rgb_neon 7.01 yuv420sp2rgb_neon 7.11 yuv420sp2rgb_neon 7.06 yuv420sp2rgb_g2d 4.32 yuv420sp2rgb_g2d 4.69 yuv420sp2rgb_g2d 4.56 yuv420sp2rgb_g2d 4.57 yuv420sp2rgb_g2d 4.52 yuv420sp2rgb_g2d 4.54 yuv420sp2rgb_g2d 4.52 yuv420sp2rgb_g2d 4.58 yuv420sp2rgb_g2d 4.60 yuv420sp2rgb_g2d 4.67
可以看到 ARM neon 的优化效果非常明显，而使用G2D图形硬件能获得进一步加速，并且能显著降低CPU占用率！
| 耗时(ms) | CPU占用率(%) | |
|---|---|---|
| C | 41.30 | 50 |
| neon | 6.77 | 50 |
| g2d | 4.32 | 12 |
转换结果对比和分析
C和neon的转换结果完全一致，但是g2d转换后的图片有明显的色差
G2D图形硬件只支持 G2D_BT601，G2D_BT709，G2D_BT2020 3种YUV系数，而JPG所使用的YUV系数是改版BT601，因此产生了色差
从g2d内核驱动中也可以得知，暂时没有方法为g2d设置自定义的YUV系数，g2d不适合用于JPG的编解码，但依然适合摄像头和视频编解码的颜色空间转换
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2025-06-19
基于米尔全志T536开发板的多协议物联网关的方案测试
本文将介绍基于米尔电子MYD-LT536开发板（米尔基于全志T536开发板）的多协议物联网关方案的开发测试。摘自优秀创作者-ALSET米尔基于全志T536开发板为了充分的应用该开发板，结合T536处理器的特点，这里进一步的进行软件开发，充分利用开发板的硬件资源，完成业务产品的需求。这里以物联网多协议网关应用为研究为目的，首先建立基础的从各个硬件设读取硬件端口的数据，并且通过SOCKET由网络收发的
2025-06-19
米尔出席2025安路科技FPGA技术沙龙
2025年6月12日，由安路科技主办的2025FPGA技术沙龙在南京正式召开，深圳市米尔电子有限公司（简称：米尔电子）作为国产FPGA的代表企业出席此次活动。米尔电子发表演讲，并展出米尔基于安路飞龙派的核心板和解决方案。现场，米尔与技术专家及生态伙伴共聚一堂，探讨前沿技术趋势，解锁定制化解决方案，共建开放共赢的FPGA生态圈！米尔电子向参会者展示FPGA核心板论坛上，米尔电子产品经理Jeson以“
2025-06-19
有奖丨米尔 瑞芯微RK3506开发板免费试用
米尔与瑞芯微合作发布的新品基于瑞芯微 RK3506应用处理器的MYD-YR3506开发板免费试用名额来啦~~米尔提供了3块价值299元的MYD-YR3506开发板发起试用活动您不仅可以免费体验还可以获得京东购物卡赶快点击链接报名吧~↓↓↓评测活动报名链接：电子发烧友论坛：https://bbs.elecfans.com/try_MRRK3506.html试用活动信息报名时间：2025年6月19日-
2025-06-13
有ARM，NPU，FPGA三种核心的开发板 — 米尔安路飞龙派开发板
最近我发现一个有趣的开发板。这个开发板集合了ARM核心，NPU核心甚至还有FPGA核心。它就是米尔新出的YM90X开发板。它基于安路科技所打造的芯片上海安路信息科技于2021年在上交所科创板上市，是A股首家专注于FPGA业务的上市公司。YM90X开发板用的就是安路的SALDRAGON1（飞龙1，以下简称 DR1）系列FPSoC。FPSoC就是将ARM、NPU和JPU处理器和安路FPGA可编程逻辑核
2025-06-13
618盛夏狂欢，米尔电子携手恩智浦开启年度技术盛宴！
即日起-2025.06.30，米尔恩智浦多系列开发板限时折扣！米尔基于 i.MX 91、i.MX 93、i.MX 8M Plus、i.MX 6UL/i.MX 6ULL、i.MX 8M Mini 等明星产品全部8折优惠。一直以来，米尔与恩智浦保持长期稳定的合作关系，在嵌入式处理器开发领域具备10余年的行业经验，米尔累计推出7个平台共计二十余款核心板，涵盖工业物联网、新能源、医疗等领域。米尔基于i.M
2025-06-13
有奖丨米尔 瑞芯微RK3562开发板免费试用新增名额！
米尔与瑞芯微合作发布的新品基于瑞芯微RK3562应用处理器的MYD-YR3562开发板免费试用名额增加啦~~米尔追加2套价值599元的MYD-YR3562开发板发起试用活动您不仅可以免费体验还可以获得京东购物卡赶快点击链接报名吧~↓↓↓评测活动报名链接：与非网论坛：https://www.eefocus.com/forum/thread-232615-1-1.html试用活动信息报名时间：2025
2025-06-06
性价比不错的工业级开发板 — 米尔RK3562
今天给大家介绍一款开发板是来自米尔的RK3562开发板RK3562是瑞芯微新推出的开发板芯片带有四核Cortex-A53CPU，频率可达2.0GHz。ARM Mali G52-2EE单核3D GPU支持4K@30fps H.265和VP9的视频解码，1080P@60fps H.264的视频编解码。带有支持1300万像素的ISP带有1TOPS NPU，支持int8，int16，FP16，bf16和t
2025-06-06
有奖丨米尔 NXP i.MX91开发板免费试用来啦
米尔与NXP合作发布的新品基于NXPi.MX91 应用处理器的MYD-LMX91开发板免费试用名额来啦~~米尔提供了3套价值588元的MYD-LMX91开发板发起试用活动您不仅可以免费体验还可以获得京东购物卡赶快点击链接报名吧~↓↓↓评测活动报名链接：电子发烧友论坛：https://bbs.elecfans.com/try_iMX91.html试用活动信息报名时间：2025年6月5日-2025年6