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2019-09-18 16:33:42 -0600 edited question the problem of loading mov file in opencv 4

the problem of loading mov file in opencv 4 I am trying to load a video file, a.mov and get some statistics of this vide

2019-09-18 16:13:41 -0600 asked a question the problem of loading mov file in opencv 4

the problem of loading mov file in opencv 4 I am trying to load a video file, a.mov and get some statistics of this vide

2019-09-18 16:13:39 -0600 asked a question the problem of loading mov file in opencv 4

the problem of loading mov file in opencv 4 I am trying to load a video file, a.mov and get some statistics of this vide

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2017-12-03 13:13:29 -0600 asked a question copy some subimages and put them on other parts of the original images

copy some subimages and put them on other parts of the original images There are some images, e.g., shown as follows. Ar

2017-12-03 13:13:27 -0600 asked a question copy some subimages and put them on other parts of the original images

copy some subimages and put them on other parts of the original images There are some images, e.g., shown as follows. Ar

2017-11-06 10:45:38 -0600 asked a question change invisible pixels to more visible

change invisible pixels to more visible In the images, there are some areas, i.e., some fonts, which are not very visibl

2017-11-06 10:45:20 -0600 asked a question change invisible pixels to more visible

change invisible pixels to more visible In the images, there are some areas, i.e., some fonts, which are not very visibl

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2017-05-11 13:26:15 -0600 asked a question shape localization and recognition

There is a set of images, each of which contains different shape entities, such as shown in the following figure. I am trying to localize and recognize these different shapes. For instance, adding a bounding box for each different shape and maybe even label it. Is that possible to fullfill this task using opencv? image description

2017-02-22 11:52:52 -0600 asked a question image sampling and its implementation in opencv

I have a set of image pairs, i.e., {A, A’}, {B, B’}, {C,C’} etc.

Given an image A, for instance, 256*256, are there any sampling mechanisms to generate a small image, i.e., 128*128, that can capture the global contexts of original images.

At the same time, I would like to keep track information of those sampled pixels. For instance, if pixel[I,J] in A is selected, I need to track it because I need to select the same pixel of A’.

In other words, I need to generate a set of smaller image pairs based on these large image pairs. The sampling mechanism, however, is based on A, B, C, etc.

2017-02-19 18:09:25 -0600 asked a question the dtype of read image

Hi,

I have read an image as follows

image = cv2.imread('/data/cat.jpg',cv2.IMREAD_UNCHANGED)
print('image dtype ',image.dtype)

The dtype for the read image is uint8, how to transfer it into float32 or what kind of read option can enforce the read image as float32.