Picture processing method and terminal
A picture processing and picture technology, applied in the field of image processing, can solve the problems of troublesome picture cropping operation and unsatisfactory users, and achieve the effect of improving user experience, meeting the requirements of aesthetic feeling, and simple cutting operation
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Image
Examples
no. 1 example
[0026] Such as figure 1 As shown in FIG. 1 , it is a flow chart of the method for cropping a picture according to the first embodiment of the present invention. The implementation process of this method will be described in detail below with respect to this figure.
[0027] Step 101, acquire a picture to be cropped, and determine a target feature subject in the picture to be cropped.
[0028] It should be noted that the image to be cropped can be acquired in a manner selected from images locally stored in a terminal device (such as a personal computer, a mobile phone, etc.); It can be a picture downloaded from the Internet.
[0029] Here, specifically, the target feature subjects may include: human faces, bodies, flowers, animals and / or buildings.
[0030] It should be noted that the target feature subject may include but not limited to the above feature subject, and other features in the picture may also be used as the feature subject.
[0031] Step 102, acquiring a targe...
no. 2 example
[0039] Such as figure 2 As shown in FIG. 2 , it is a flow chart of the image processing method according to the second embodiment of the present invention. The implementation process of this method will be described in detail below with respect to this figure.
[0040] Step 201, acquire a picture to be cropped.
[0041] It should be noted that the image to be cropped can be acquired in a manner selected from images locally stored in a terminal device (such as a personal computer, a mobile phone, etc.); It can be a picture downloaded from the Internet.
[0042] Step 202: Identify the picture to be cropped, and acquire the feature subjects to be selected in the picture to be cropped.
[0043] Here, the feature subject to be selected in the image to be cropped can be obtained through an object recognition algorithm (such as a neural network recognition algorithm based on a deep learning model).
[0044] Specifically, the position information of the feature subject in the ima...
no. 3 example
[0070] Such as Figure 4 Shown is a flow chart of the image processing method according to the third embodiment of the present invention. The implementation process of this method will be described in detail below with respect to this figure.
[0071] Step 301, acquire a picture to be cropped, and determine a target feature subject in the picture to be cropped.
[0072] It should be noted that the image to be cropped can be acquired in a manner selected from images locally stored in a terminal device (such as a personal computer, a mobile phone, etc.); It can be a picture downloaded from the Internet.
[0073] Here, for the specific steps of determining the target feature subject in the image to be cropped, refer to steps 202 to 203 in the second embodiment, which will not be repeated here.
[0074] Step 302, acquiring a target composition template selected by the user among at least one optional composition template saved in advance.
[0075] The composition template is t...
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