Aiming at the problem of low fall detection accuracy and poor real-time performance in indoor scenes due to the effects of light change, occlusion of the human body form, and changes in the human body posture under special viewpoint, a lightweight improve...
"""import re# 导入正则表达式模块import subprocess# 导入子进程模块from collections import defaultdict# 导入 defaultdict 集合from pathlib import Path# 导入 Path 模块# Constantshub_sdk = False# 设置 hub_sdk 常量为 Falseifhub_sdk:PACKAGE_DIR = Path("/Users/glennjocher/PycharmProjects/hub-sdk/hub_s...
self.window_size, self.window_size, c).transpose(2,3).reshape(b, pH, pW, c)ifpadding:x=x[:, :h, :w].contiguous()# 移除填充部分x= x.view(b, hw, c)# 恢复原始形状x= res_x + self.drop_path(x)# 加入残差连接和DropPath操作x= x.transpose(1,2).reshape(b, c, h, w)# 转...
the learning rate adjustment strategy of Adam optimizer and cosine annealing is chosen, where the initial learning rate is set to 1e-3 and the minimum learning rate is 1e-5, which makes periodic changes according to the form of cosine function to help the optimization algorithm to find the ...
YOLOv3 is a popular and effective object detection algorithm. However, YOLOv3 has a complex network, and floating point operations (FLOPs) and parameter sizes are large. Based on this, the paper designs a new YOLOv3 network and proposes a lightweight object detection algorithm. First, two exce...
The CCA-YOLO algorithm was used for defect detection, and a small-target detection layer was added to the YOLOv5 network backbone [21]. (3) On the basis of the spatial squeeze and channel excitation block [22] and coordinate attention mechanism, an innovative channel coordinate attention (CCA...
This research paper provides a summary of the Yolov5 algorithm series for road marking sign identification, which includes Yolov5s, Yolov5m, Yolov5n, Yolov5l, and Yolov5x. This study explores a wide range of contemporary object detectors, such as the ones that are used to determine the ...
YOLO v5 expects annotations for each image in the form of a .txt file, where each line describes a bounding box. Consider the following image. The annotation file for the image above looks like the following: There are 3 objects in total (2 persons and one tie). Each line represents one...
3 AI Use Cases (That Are Not a Chatbot) Machine Learning Feature engineering, structuring unstructured data, and lead scoring Shaw Talebi August 21, 2024 7 min read Solving a Constrained Project Scheduling Problem with Quantum Annealing Data Science ...
The NMS algorithm keeps the predictions with the highest confidence scores and removes any other boxes that overlap the ones with higher scores by more than a certain threshold, say an IOU of 45% or more. The model created by Turi Create automatically takes care of this post-processing step ...