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Single-stage detection method, device, electronic equipment and storage medium for hoisted objects
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A detection method and object detection technology, applied in the field of computer vision, can solve the problems of low detection accuracy
Active Publication Date: 2021-03-30
ZHEJIANG LAB
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[0004] The purpose of the embodiment of the present invention is to provide a single-stage detection method, device, electronic equipment and storage medium for hoisting objects, so as to solve the problem of low detection accuracy
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Embodiment 1
[0062] figure 1 It is a flow chart of a single-stage detection method for a hoisted object provided in an embodiment of the present invention; a single-stage detection method for a hoisted object provided in this embodiment includes the following steps:
[0063] Step S101, acquiring images of hoisted objects as a training set;
[0064] Specifically, the videos in workplaces such as factory areas and construction sites are collected as training set materials, qualified images are selected, and the hoisting objects in the images are marked to obtain the training set, wherein the marked information is the coordinates of the four corners of the hoisting objects ( x 1 ,y 1 ,x 2 ,y 2 ,x 3 ,y 3 ,x 4 ,y 4 ),Such as figure 2 shown on the left.
[0065] The reason for collecting videos in workplaces such as factories and construction sites as training set materials is that objects are often hoisted in workplaces such as factories and construction sites, and the effective data...
Embodiment 2
[0114] Figure 5 A block diagram of a single-stage detection device for a hoisted object provided by an embodiment of the present invention, the device can implement any single-stage detection method for a hoisted object provided in any embodiment of the present invention, and has corresponding functional modules and beneficial Effect. Such as Figure 5 As shown, the device includes:
[0115] An acquisition module 901, configured to acquire images of hoisted objects as a training set;
[0116] The training set preprocessing module 902 is used to extract features from the training set to obtain target coordinates and rotation angles;
[0117] Build a detection network module 903 for using a detection model based on a deep convolutional neural network as the baseline network architecture for hoisting object detection, and modify the detection model in a rotating frame manner;
[0118] A training module 904, configured to use the target coordinates and rotation angles to trai...
Embodiment 3
[0121] This embodiment provides an electronic device, including:
[0122] one or more processors;
[0123] memory for storing one or more programs;
[0124] When the one or more programs are executed by the one or more processors, the one or more processors implement the method as described in Embodiment 1.
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Abstract
The invention discloses a single-stage detection method, device, electronic equipment and storage medium of a hoisting object. The method includes: acquiring images of hoisting objects as a training set; performing feature extraction on the training set to obtain target coordinates and rotation angles; The detection model of the deep convolutional neural network is used as the baseline network architecture for hoisting object detection, and the detection model is modified in the form of a rotating frame; the modified detection model is trained using the training set, target coordinates and rotation angle, and the trained model is obtained. Detection model: Use the trained detection model to detect the image to be detected, and obtain the detection result of the hoisting object with a rotation angle in the image. The invention has a simple implementation method and strong portability, and can realize accurate detection of hoisted objects in factory areas, construction sites and other workplaces photographed by monitoring cameras.
Description
technical field [0001] The invention relates to the field of computer vision, in particular to a single-stage detection method, device, electronic equipment and storage medium of a hoisted object. Background technique [0002] In workplaces such as factories and construction sites, equipment handling and hoisting is a job with a relatively high risk factor. Therefore, during hoisting operations, all staff are required to strictly abide by safe operation rules and keep a safe distance from hoisting objects. However, manual supervision is time-consuming, labor-intensive and difficult, which leads to frequent safety accidents caused by construction workers not complying with safety rules. In response to this problem, it is extremely necessary to use intelligent means to identify whether the hoisting object and the construction personnel maintain a safe distance. Among them, accurate positioning of lifting objects and construction personnel is the key to this technology. [00...
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