Integrating NVIDIA Jetson TX1 Running TensorRT into Deep Learning DataFlows with Apache MiniFi Part 4 of 4 : Ingestion and Processing

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Part 1: Installation and Setup

NVIDIA Maxwell ™, 256 CUDA cores
Quad ARM® A57/2 MB L2
4K x 2K 30 Hz Encode (HEVC) 4K x 2K 60 Hz Decode (10-Bit Support)
4 GB 64 bit LPDDR4 25.6 GB/s
2x DSI, 1x eDP 1.4 / DP 1.2 / HDMI
16 GB eMMC, SDIO, SATA
Up to 6 Cameras (2 Lane) CSI2 D-PHY 1.1 (1.5 Gbps/Lane)
UART, SPI, I2C, I2S, GPIOs
1 Gigabit Ethernet, 802.11ac WLAN, Bluetooth

Part 2: Classifying Images with ImageNet

Part 3: Detecting Faces in Images

Part 4: Using MiniFi to Send the Data and NiFi to Consume and Convert

Build the Config File

minifi-toolkit-0.2.0/bin/config.sh transform TensorRTMiniFi.xml config.yml

Note:

Do not install minifi as a service, I had issues with this version of ubuntu and that

References:

• https://nifi.apache.org/minifi/system-admin-guide.html
• minifi.sh flowStatus processor:TailFile:health,stats,bulletins
• https://nifi.apache.org/minifi/getting-started.html
• https://unsplash.it/