129 lines
2.8 KiB
Markdown
129 lines
2.8 KiB
Markdown
<style>
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#term {color: white; background: black}
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</style>
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# YOLOV5 Age Gender Model Demo
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This example demonstrates basic usage of HailoRT streaming API over multiple networks, using vstreams.
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It loads a folder of images and tries to detect faces in them. Once it found a face it will switch to a different model that will do age and gender recognition.
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## Setup on Ubuntu 20.04
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### OpenCV
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To install OpenCV run:
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```bash
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sudo apt install libopencv-dev python3-opencv
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```
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To verify the installation run:
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```bash
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python3 -c "import cv2; print(cv2.__version__)"
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```
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### Hailo-8
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Confirm the Hailo-8 PCIe Module has been detected
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```bash
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sudo update-pciids
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lspci
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```
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<pre id=term>04:00.0 Co-processor: Hailo Technologies Ltd. Hailo-8 AI Processor (rev 01)</pre>
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### HailoRT
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Install HailoRT available from https://hailo.ai/developer-zone/ and confirm the driver is working.
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Enter virtual environment
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```bash
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source hailo_platform_venv/bin/activate
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```
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Check Hailo firmware
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```bash
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hailo fw-control identify
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```
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<pre id=term>(hailo) Running command 'fw-control' with 'hailortcli'
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Identifying board
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Control Protocol Version: 2
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Firmware Version: 4.4.0 (release,app)
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Logger Version: 0
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Board Name: Hailo-8
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Device Architecture: HAILO8_B0
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Serial Number: HAILO00000000000
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Part Number: HM218B1C2FA
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Product Name: HAILO-8 AI ACCELERATOR M.2 M KEY MODULE
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</pre>
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### Building the demo
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Modify the following line in build.sh to fit your HailoRT installation.
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```bash
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HAILORT_ROOT=~/HailoRT_v4.4.0/Hailort/Linux/Installer/platform/hailort
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```
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Build the demo
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```bash
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./build.sh
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```
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After building the hailo_demo, the script will copy the two HEF files and the images directory into the build folder. Run the demo.
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```bash
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cd build
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./hailo_demo.sh
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```
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<pre id=term>-I- Running network. Input frame size: 1228800
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-I- YoloV5 ran successfully.
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-I- Detections before NMS: 100.
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-I- Detections after NMS: 9.
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Class ID: 3.000000)
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Face 0 at (68.490112, 61.253448), (180.168640, 208.362183)
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Class ID: 3.000000)
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Face 1 at (268.007507, 64.514343), (375.192413, 202.842468)
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Class ID: 3.000000)
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Face 2 at (449.910217, 62.940426), (556.207397, 204.165405)
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Class ID: 3.000000)
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Face 3 at (75.827576, 257.073730), (180.360580, 398.298706)
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Class ID: 3.000000)
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Face 4 at (258.935303, 256.697327), (369.707764, 397.922302)
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Class ID: 3.000000)
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Face 5 at (456.254761, 257.156647), (567.933289, 408.756989)
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Class ID: 3.000000)
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Face 6 at (74.192513, 450.853729), (180.489777, 593.538330)
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Class ID: 3.000000)
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Face 7 at (256.249298, 451.983093), (366.119324, 594.667725)
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Class ID: 3.000000)
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Face 8 at (455.748230, 451.876953), (561.161499, 596.028809)
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-I- Running network. Input frame size: 150528
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-I- HSE ran successfully.
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Face 0:
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Male - 26
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Face 1:
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Female - 23
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Face 2:
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Female - 23
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Face 3:
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Male - 27
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Face 4:
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Female - 29
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Face 5:
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Male - 29
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Face 6:
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Female - 23
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Face 7:
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Female - 29
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Face 8:
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Female - 27
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</pre>
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