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Python scripts performing object detection using the YOLOv8 model in ONNX.

Results 6 ONNX-YOLOv8-Object-Detection issues
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└─[$]> python3 image_object_detection.py Traceback (most recent call last): File "/home/x/ws/ml/ONNX-YOLOv8-Object-Detection/image_object_detection.py", line 16, in boxes, scores, class_ids = yolov8_detector(img) File "/home/x/ws/ml/ONNX-YOLOv8-Object-Detection/yolov8/YOLOv8.py", line 19, in __call__ return self.detect_objects(image) File "/home/x/ws/ml/ONNX-YOLOv8-Object-Detection/yolov8/YOLOv8.py", line 31,...

File "c:\YOLO\video_object_detection.py", line 4, in from yolov8 import YOLOv8 ImportError: cannot import name 'YOLOv8' from 'yolov8' (C:\Python310\lib\site-packages\yolov8\__init__.py)

Currently, I don't see support for multiple streams with batched inference. In case I have many streams to process, I think batch processing will be faster and more optimal than...

Your inference turned out to be much more accurate than Ultralytic's inference. I found this interesting thing called DeepSparse. It works faster than ONNX but unfortunately its inference is less...

Hi, I want MIT license YOLOv8 models to use it on my project, and I'm new here. 1. Can I use exported tensorRT YOLOv8 model with this codes? 2. And,...

Hello, I simply cloned the repo and tried to run the video_objet_detection.py, but it directly fails with: ``` $ python3 video_object_detection.py Traceback (most recent call last): File "video_object_detection.py", line 4,...