Nettet1. des. 2024 · Image-based fire detection is one effective method. At present, object-detection algorithms are deficient in performing detection speed and accuracy tasks … Nettet11. aug. 2024 · 但现在YOLOv5-Lite做到了,毕设的检测场景在类似电梯轿厢和楼道拐角处等空间,实际检测距离只需保证3m即可,分辨率调整为160*120的情况下,YOLOv5-Lite最高可达18帧,加上后处理基本也能稳定在15帧左右。 除去前三次预热,设备温度稳定在45°以上,向前推理框架为ncnn,记录两次benchmark对比:
Applied Sciences Free Full-Text MCA-YOLOV5-Light: A Faster ...
Nettet21. jan. 2024 · StatefulPartitionedCall: 0 = [1,25200,7] from the converted YOLOv5 model Netron YOLOv5s.tflite model. StatefulPartitionedCall:0 = [1] #count (this one is from a tensorflow lite mobilenet model (trained to give 10 output data, default for tflite)) Netron mobilenet.tflite model. It may also be some other form of output, but I honestly have no ... NettetThe experimental results show that Light-YOLOv5 improves mAP by 3.3% compared to the original algorithm, reduces the number of parameters by 27.1%, decreases the computation by 19.1%, ... garrett wilson or lazard
Light-YOLOv5: A Lightweight Algorithm for Improved YOLOv5 in …
NettetTraffic Sign Detection Using YOLOv5 Manav Dhamani 11 subscribers Subscribe 3.3K views 1 year ago This is used by my Autonomous Self-Driving Car to detect and classify traffic signs. Github repo:-... Nettet20. feb. 2024 · Lite-YOLOv5, we also transplant it to the embedded platform NVIDIA Jetson TX2. Experimental results on the Large-Scale SAR Ship Detection Dataset-v1.0 … NettetWhen the object detection algorithm faces the chanllenge of PCB defect detection, we need to consider the speed and accuracy of detection under the condition of limited computing resources. This paper provides an improved object detection algorithm to enhance the detection efficiency of small objects with defects and achieves efficient … black screenplay competitions