Hailo Application Code Examples

🚀 Runtime

Application examples for Hailo inference with different languages and operating systems

Python

APP	Description
depth_estimation	Depth estimation with StereoNet
detection_with_tracker	Object detection with tracking using ByteTracker and Supervision
hailo_onnxruntime	Inference with a Hailo device and postprocessing with ONNXRuntime
instance_segmentation	Instance segmentation with yolov5_seg, yolov8_seg
lane_detection	Lane detection with UFLDv2
object_detection	Object detection with yolo, ssd, centernet
pose_estimation	Pose estimation with yolov8
streaming	Object detection on a streaming input from a camera using OpenCV
super_resolution	Super resolution with espcnx4, srgan

C++

APP	Description
zero_shot_classification	Zero-Shot Classification with with clip_vit_l14 on hailo8 and clip_resnet50 on hailo15h
classifier	Classification with models trained on ImageNet
depth_estimation	Depth estimation with scdepthv3 and stereonet
hailo_onnxruntime	Inference with a Hailo device and postprocessing with ONNXRuntime
instance_segmentation	Instance segmentation with yolov5_seg, yolov8_seg
object_detection	Object detection - generic, asynchronous, H15
pose estimation	Pose estimation with yolov8
re_id	People re-identification using yolov5s and repvgg_a0
scheduler	Multi-model inference using the Hailo scheduler
semantic_segmentation	Semantic segmentation with Resnet18_fcn trained on cityscape

GStreamer

APP	Description
advanced_cpp_app	Complex GStreamer pipeline wrapped by C++
cpp_cascaded_networks_dynamic_osd	Cascade networks pipeline wrapped by C++
cropper_aggregator	Gstreamer pipeline with hailocropper and hailoaggregator
detection_python	Python implementation of TAPPAS detection pipeline using Yolov5m
hailo"_clip	CLIP inference on a video in real-time
multistream_app	Inference on multiple streams on the same pipeline, added C++ usability
multistream_multi_networks	Object detection + semantic segmentation
multistream_stream_id	Multistream with stream ID
simple_cpp_app	Simple app that shows how to use Gstreamer with C++ on top
tda4vm/pose_estimation	Single-stream pose estimation pipelin` on top of GStreamer and TDA4VM DSP
tonsofstreams	Many streams with 4 Hailo devices

Windows

APP	Description
yolov5	Object detection with yolov5 using a C++ script compiled for Windows
yolov8	Object detection with yolov8 using a C++ script compiled for Windows

🏗️ Compilation

Basic optimization diagnostic tool: help diagnosing common optimization issues and mistakes
Pointpillars: Hailo device offload of the heavy 2D-convolutional part of a 3D-object-detection network operating on point-clouds
16-bit Optimization: Guide on how to perform 16-bit optimization

📚 Resources

Documents and other files

⚠️ Disclaimer

The code examples are provided by Hailo solely on an “AS IS” basis and “with all faults”. No responsibility or liability is accepted or shall be imposed upon Hailo regarding the accuracy, merchantability, completeness or suitability of the code example. Hailo shall not have any liability or responsibility for errors or omissions in, or any business decisions made by you in reliance on this code example or any part of it. If an error occurs when running the examples, please open a ticket in the "Issues" tab.