In fact, the V100’s drivers were less explicitly matched than those of Tesla T4.We recommend you please use the latest image and the latest TensorRT version. Version 20.07 is very old, there could be some issues which are resolved in the later versions....
We used the YOLOv3 and YOLOv5 algorithms to implement the detection of multiple QR codes. Then, we added CBAM to the YOLO algorithm, and added an angle prediction mechanism to improve their decoding and recognition effects. The experimental results showed that the YOLOv3_CBAM algorithm and the...
Although, there is a very recent version 5 ofYOLOwhich was released in June this year, we use version 4 ofYOLOdue to the fact thatYOLOv5is not an official release ofYOLOand no scientific paper work is published on it (as for the other versions). If you want to read more on the cur...
In this paper, we demonstrate the application of computer vision (CV) algorithm based on You Only Look Once version 5 (YOLOv5) for detecting VC plants growing in the middle of corn fields at three different growth stages (V3, V6, and VT) using unmanned aircraft systems (UAS) remote ...
Thus, early and accurate detection of rice diseases is needed. This paper discusses a method for detecting rice diseases called You Only Look Once (YOLO) object detection algorithm version 4. A drone camera was used to acquire the images from four different distances, namely 2 meter...
The K-means++ algorithm was used to optimize the anchor box parameters to improve the target detection accuracy and form a high-performance pavement crack detection model called YOLOv4-3. The training and test sets were constructed using the same image data sources, and the results ...
In order to solve this problem, an algorithm for recognizing corn crop rows during different growth stages is presented based on the ST-YOLOv8s network. Firstly, a dataset of corn crop rows during different growth stages, including the seedling stage and mid-growth stage, is ...
Soldering splash occurrence decreases the reliability and electric properties of final products. This paper aims to compare different YOLOv8 models (small, medium, and large) with the combination of basic image preprocessing techniques to achieve the best possible performance of the designed algorithm. ...
Unlike the widely used Labelme tool, Make Sense allows for the direct export of labeled tomato image data in the TXT format required by the YOLO algorithm, thereby eliminating the need for format conversion and improving efficiency. To ensure annotation accuracy and validity, tomatoes that were ...
with the annotation interface shown inFigure 3. Unlike the widely used Labelme tool, Make Sense allows for the direct export of labeled tomato image data in the TXT format required by the YOLO algorithm, thereby eliminating the need for format conversion and improving efficiency. To ensure annota...