Hi. I am using gstreamer using pygobject module to display live stream video with object detection shown here hailo_examples/examples/016_custom_video_source.ipynb at main · DeGirum/hailo_examples · GitHub. I noticed there is a significant amount of delay in the video which is unlike the code shown here hailo-apps-infra/hailo_apps/hailo_app_python/apps/detection at main · hailo-ai/hailo-apps-infra · GitHub . Also, I am using PyGobject version 3.50.1 due to a metageneration error when I wa...| Hailo Community
Hi community, Received my Raspi 5 and Hailo HAT couple days ago. I’ve been playing around with the example code from the “hailo-rpi5-examples” repo. But now I want to make my own object detection application. Question is, what do I use? When I look this up on the forums I see shashi pushing to users to use Degirum. When I go and see custom projects made from Hailo’s 2024-2025 hackathon most used the “hailo-apps-infra“ repo. Others either use hailo_platform and HailoRT. Is there no...| Hailo Community
Hello @shashi, this is exactly what I’ve been looking for. I have lost days in the process of compiling a .hef for yolo models. I believe that I have requested access, excited to try this tool out!| Hailo Community
i’m using DFC to convert a .onnx model trained on a custom dataset into .hef to run on hailo8 hat devices. my system information: CPU: Xeon E3-1270V3 RAM: 16GB GPU: NVIDIA GTX 1060 6GB GPU Driver version: 575.64.03 CUDA version: 12.5.1 CUDNN version: 9.10 Hailo DFC version: 3.32.0 Hailo Model Zoo version: 2.16 the command that i use: hailomz compile yolov11s --ckpt=yolov11s-vehicles.onnx --hw-arch hailo8 --calib-path train/images --classes 4 --performance the output of the command: [info] N...| Hailo Community
what I wan to implement is to allow yolov11 to predict object with oriented bounding box (x1, y1, x2, y2, angle), not just (x1, y1, x2, y2). The angle is additional. So I change the yolo11n’s head structure (regression head), which conv’s output channel is +1. But this model will fail during hailo optimize process. the error log: File "/home/jbl/PythonEnv/py310/lib/python3.10/site-packages/hailo_model_optimization/acceleras/hailo_layers/hailo_postprocess.py", line 121, in call_core retu...| Hailo Community
I have a modified yolov7 model with additional output layer (a classification output). when translating onnx, i have added 4 conv layers as output nodes (3 for yolo detection, 1 for classification). I wanted to add nms for the 3 layers in optimization step, and leave the other layer as is. was able to add nms_postprocess in the script. But during the optimize process, it stops with error [warning] output_layers_order in net_params don't match actual output layers in HN. InvalidHNError: There ...| Hailo Community
I am using Hailo 8 and the NUYV2 dataset for running depth estimation inference using the fast-depth pre compiled model which i downloaded from Model Explorer . However after the inference the output tensor that i am getting is uint16 Which looks like this Output Tensor shape: (1, 224, 224, 1) Output Tensor: [[[[2741] [2741] [2862] … [2621] [2570] [2570]] [[2741] [2741] [2862] … [2621] [2570] [2570]] [[2784] [2784] [2896] … [2492] [2604] [2604]] …. But i am not able to ...| Hailo Community
Could anybody please let me know? TIA| Hailo Community
Using HailoRT4.21, Ubuntu24.04, x86_64 Example Code: from hailo_platform import VDevice, HailoSchedulingAlgorithm, FormatType, HEF import numpy as np from functools import partial from threading import Thread, Event import cv2 import time import faulthandler faulthandler.enable() MODEL_RESOLUTION = (224, 224) MODEL_PATH = "models/objdet.hef" def async_inference_target(src_callback, dst_callback, stop_event): # Create a VDevice try: params = VDevice.create_params() pa...| Hailo Community
Hi, all! I’m working in a project with RPi 5 with H8L for object tracking using Python. I successfully integrated the tracker on the pipeline, but I don’t know how to get the tracker data (objects ids) on the app callback. There is any documentation about that? Thank you!| Hailo Community
I am running the code very similar to the following example on our camera backend. from threading import Thread import time import numpy as np from functools import partial from hailo_platform import VDevice, HailoSchedulingAlgorithm, FormatType, pyhailort import os import multiprocessing number_of_frames = 1000000 timeout_ms = 10000 os.environ['HAILO_MONITOR'] = '1' def example_callback(completion_info, bindings=None, start_time=None): end_time = time.monotonic() def infer(should_use_mu...| Hailo Community
In “hailo tutorial” there are these following 2 tutorials: “HRT_2_Inference_Tutorial_Multi_Process_Service.ipynb” “HRT_4_Async_Inference_Multiple_Models_Tutorial.ipynb” What are the different between these 2 tutorials? Another question is, let’s say I’m trying to synchronous perform object detection with yolov10 and depth estimation with sc_depth_v2 on one Hailo-8 chip. What are the general procedures I should follow?| Hailo Community