Following the guide in eIQ Model Zoo github, eiq-model-zoo/tasks/vision/object-detection/yolov8 at main · NXP/eiq-model-zoo · GitHub I am unable to deploy Yolov8 onto i.MX8MPlus EVK. What I had done (following the README guide exactly): Machine Ubuntu 20.04 $ git ...
摘要:火灾事件严重威胁着人民生命财产安全,因此火灾检测是极其必要的.基于YOLOv8算法进行烟雾和火焰检测,并对模型结构进行改进以提高准确度.改进包括3个方面,一是引入DBB模块,二是使用动态卷积,三是优化损失函数.实验表明,三种改进算法均在一定程度上提高了检测准确度,而同时使用三种改进的YOLOv8n模型,相比原来的YOLOv...
针对无人机对输电线路异物检测准确度有限,模型计算复杂度高,计算速度有限的问题,提出一种改进YOLOv8的输电线路异物检测方法SC-YOLO.该方法引入StarNet以构造C2f_Star模块实现Neck网络轻量化,有效降低模型参数量与计算量,同时通过增加特征空间维度提升Neck部分特征提取能力;在骨干网络输出特征图后添加卷积注意力融合模块,...
Following the guide in eIQ Model Zoo github, eiq-model-zoo/tasks/vision/object-detection/yolov8 at main · NXP/eiq-model-zoo · GitHub I am unable to deploy Yolov8 onto i.MX8MPlus EVK. What I had done (following the README guide exactly): Machine Ubuntu 20.04 $ git clone http...
The performance of the YOLOv8 algorithm in identifying vacant parking spaces is evaluated using the parking space availability dataset. It achieves an F1-score of $98.7 \%$, which is $8.7 \%$ higher than the existing object detector. 展开 ...
Please assist. What I am looking for is a python script to run Yolov8 model (yolov8n_full_integer_quant.tflite) on i.MX8MPlus (using tflite_runtime library, not ultralytics). タグ: yolo IMX8MPLUS i.MX 8 Applications Processors ...
Please assist. What I am looking for is a python script to run Yolov8 model (yolov8n_full_integer_quant.tflite) on i.MX8MPlus (using tflite_runtime library, not ultralytics). タグ: yolo IMX8MPLUS i.MX 8 Applications Processors ...
I am trying to run a Yolov8 model for detection and segmentation on the NPU of the I.mx 93. I have converted the Torch yolov8 model to an 8 int tflite model and then ran the following code: import tflite_runtime.interpreter as tfliteimport cv2import numpy as npext_delegate = tf...
I am trying to run a Yolov8 model for detection and segmentation on the NPU of the I.mx 93. I have converted the Torch yolov8 model to an 8 int tflite model and then ran the following code: import tflite_runtime.interpreter as tfliteimport cv2import numpy as npext_delegate = tf...