Raspberry pi5 TensorFlow-lite Object Detection
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Hardware : Raspberry pi5
Specification
Broadcom BCM2712 2.4GHz quad-core 64-bit Arm Cortex-A76 CPU, with cryptography extensions, 512KB per-core L2 caches and a 2MB shared L3 cache
VideoCore VII GPU, supporting OpenGL ES 3.1, Vulkan 1.2
Dual 4Kp60 HDMI® display output with HDR support
4Kp60 HEVC decoder
LPDDR4X-4267 SDRAM (4GB and 8GB SKUs available at launch)
Dual-band 802.11ac Wi-Fi®
Bluetooth 5.0 / Bluetooth Low Energy (BLE)
microSD card slot, with support for high-speed SDR104 mode
2 × USB 3.0 ports, supporting simultaneous 5Gbps operation
2 × USB 2.0 ports
Gigabit Ethernet, with PoE+ support (requires separate PoE+ HAT)
2 × 4-lane MIPI camera/display transceivers
PCIe 2.0 x1 interface for fast peripherals (requires separate M.2 HAT or other adapter)
5V/5A DC power via USB-C, with Power Delivery support
Raspberry Pi standard 40-pin header
Real-time clock (RTC), powered from external battery
Power button
Source Code
https://github.com/tensorflow/example...