🚀 Runtime

Application examples for Hailo inference with different languages and operating systems

Hailo-8

C++

APP	Description
classifier	Classification with models trained on ImageNet
depth_estimation	Depth estimation with scdepthv3 and stereonet
instance_segmentation	Instance segmentation with yolov5_seg, yolov8_seg
object_detection	Object detection - generic, asynchronous
onnxruntime	Inference with a Hailo device and postprocessing with ONNXRuntime
pose_estimation	Pose estimation with yolov8
semantic_segmentation	Semantic segmentation with Resnet18_fcn trained on cityscape
zero_shot_classification	Zero-Shot Classification with clip_vit_l14

Python

APP	Description
object_detection	Object detection + tracker with yolo, ssd, centernet
instance_segmentation	Instance segmentation with yolov5_seg, yolov8_seg
lane_detection	Lane detection with UFLDv2
pose_estimation	Pose estimation with yolov8
speech_recognition	Automatic Speech Recognition with Whisper model
super_resolution	Super-resolution with espcnx4, srgan

GStreamer

APP	Description
advanced_cpp_app	Complex GStreamer 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
cpp_cascaded_networks_dynamic_osd	Cascade networks pipeline wrapped by C++
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

Hailo-15

APP	Description
dsp example	Demonstrate how to use Hailo DSP
zero shot classification	Zero-Shot Classification with clip_resnet50

🏗️ 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

⚠️ 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.