Neck key point detection method and device and detection model training method and device
A technology for detecting models and key points, applied in the field of image processing, can solve problems such as improper connection between the face and neck, and achieve the effect of improving robustness and accuracy
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Embodiment 1
[0057] figure 1 A flowchart of an embodiment of a method for training a neck key point detection model according to an exemplary embodiment of the present invention, as shown in figure 1 As shown, the training method of the neck key point detection model includes the following steps:
[0058] Step 101: Determine the actual slope of the straight line determined by the marked neck key point and the reference point in the sample image.
[0059] Among them, the neck is usually a key organ connecting the face and the human body, and there is a certain geometric constraint relationship between it and the human body, that is, the two sides of the neck are horizontally symmetrical with respect to the center line of the neck. Therefore, by marking a key point on the left and right sides of the neck, you can Determines the position of the neck relative to the face.
[0060] In a possible implementation manner, after acquiring the data set, for each sample image in the data set, locate...
Embodiment 2
[0090] image 3 This is an embodiment flowchart of a neck key point detection method according to an exemplary embodiment of the present invention, based on the above figure 1 Based on the illustrated embodiment, as image 3 As shown, the neck key point detection method includes the following steps:
[0091] Step 301: Preprocess the received user image to obtain an image to be detected.
[0092] The preprocessing of the user image is to process the user image into an image suitable for prediction by the input model.
[0093] In a possible implementation manner, by performing a preset type of data enhancement processing on the user image, and determining the proportion of the area of the face area including the neck in the processed user image to the processed user image, if the proportion exceeds The preset ratio means that the proportion of the face area including the neck in the image is relatively high, and the processed user image can be directly determined as the image...
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